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Atmospheric nanoaerosols have extensive effects on the Earth’s climate and human health. This cumulative work focuses on the development and characterization of instrumentation for measuring various parameters of atmospheric nanoaerosols, and its use to understand new particle formation from organic precursors. The principal research question is, how the chemical composition of nanoaerosol particles can be measured and how atmospheric chemistry influences aerosol processes, especially new particle formation and growth. Therefore, nanoaerosols are investigated under various aspects. More specifically, an instrument is developed to analyze nanoparticles, and field as well as chamber studies are conducted.
The main project is the instrument development of the Thermal Desorption Differential Mobility Analyzer (TD-DMA, project 1, Wagner et al. (2018)). This instrument analyzes the chemical composition of small aerosol particles. By characterization and testing in chamber experiments, it is proven to be suitable for the analysis of freshly nucleated particles.
The second project (Wagner et al. (2017)) applies a broad spectrum of aerosol measurement instruments for the characterization of aerosol particles produced by a skyscraper blasting. A comprehensive picture of the particle population emitted by the demolition is obtained.
Project 3 (K¨urten et al. (2016)) is also an ambient aerosol measurement, focusing of new particle formation in a rural area in central Germany, and the ability of a negative nitrate CI-APi-TOF to detect various substances in atmosphere. Project 4 (Heinritzi et al. (2016)) is a characterization of the negative nitrate CI-APi-TOF used in projects 1, 3, 5, 6, 7 and 8. The following projects focus on understanding new particle formation from atmospherically abundant organic precursors. Key instruments comprise the negative nitrate CI-APiTOF for gas-phase measurements of the nucleating species, and various sizing and counting instruments for quantifying the particle formation and growth. Project 5 (Kirkby et al. (2016)) shows that biogenic organic compounds formed from alpha-pinene can nucleate on their own without the influence of e.g. sulfuric acid. Project 6 (Tr¨ostl et al. (2016)) describe the subsequent growth of these particles. Project 7 (Stolzenburg et al. (2018)) covers the temperature dependence of this growth and in project 8 (Heinritzi et al. (2018)), the suppressing influence of isoprene on the new particle formation is assessed.
We present a study characterizing aerosol particles resulting from a skyscraper blasting. High mass concentrations with a maximum of 844.9 μg m-3 were present for a short time period of approximately 15 minutes. They result in a day mean of 32.6 μg m-3 compared to a 27.6 μg m-3 background not exceeding the 50 μg m-3 EU maximum permissive value. The increase in particle number concentration was less pronounced with a maximum concentration of 6.9 ⋅ 104 cm-3 compared to the local background value of 1.8 ⋅ 104 cm-3. The size-resolved number concentration shows a single mode of ultrafine particles at approximately 93 nm. The spatial distribution of deposited dust was investigated with Bergerhoff glass collection vessels, showing a decrease with distance. In the deposited dust samples the concentrations of twelve metals was determined, non of them exceeded the regional background concentrations significantly. The chemical composition of individual particles emitted by the demolition was studied by Scanning Electron Microscopy. They were mainly concrete and steel particles, with 60% calcium carbonates, 19% calcium sulfates, 19% silicates and 2% steel. In energy-dispersive X-Ray Spectroscopy, no fibers like asbestos were observed. Using a broad spectrum of instruments and methods, we obtain comprehensive characterization of the particles emitted by the demolition.
The overarching goal of the thesis was to create a holistic predictive framework, a vegetation model, by improving the representations of and interactions between the biosphere, hydrosphere, atmosphere and pedosphere. Vegetation models rep- resent a crucial component of Earth system model since the properties of the land surface, via interactions with the atmosphere, can have extremely large climatic effect. Yet, there remains great uncertainty associated with the dynamics of the vegetated land surface. Various vegetation models have been critiqued for numerous reasons including overly simplistic representations of vegetation, prescribed vegetation, poor representations of diversity, inaccurate representations of competition, non-transparent model calibration, and poor responses to drought. The purpose of the creation of this "next generation" model was to address deficiencies common to current vegetation modelling paradigms.
The representation of the biosphere within this framework was improved via two separate development axes. First, ecological realism was improved by integrating concepts from community assembly theory, co-existence theory, and evolutionary theory. Explicitly, rather than defining teleonomic rules to define plant behaviour the process of natural selection is modelled. By modelling the pro- cess of natural selection and its affect on relative fitness, myriad "rules" which continually adapt to biotic and abiotic conditions "come out" as a consequence of the modelled dynamics rather than being "put in". In aDGVM2 (adaptive Dynamic Global Vegetation model 2) communities of plants and their trait values evolve through time, this evolution is constrained by trade-offs between traits. Poorly performing individuals are more likely to die and produce fewer copies of themselves, this results in a filtering of trait values. Further, the community and species’ trait values can evolve through successive generations via reproduction, mutation and crossover which we approximate by using a genetic optimisation algorithm. Thus, a plant community consisting of individuals and species with potentially novel and diverse trait values is assembled iteratively through time.
We tested the assertion that improved integration of concepts from community assembly, evolutionary, and co-existence theory could address limitations of DGVMs in Chapter 2. We demonstrated that such an approach does indeed allow diverse communities of plants to emerge from the modelling framework. We showed that the position of the emergent communities in trait space differed along abiotic gradients and that, in simulations where reproductive isolation was simulated, communities emerged which were composed of multiple co-existing clusters in trait-space. Simulated trait values of co-existing strategies emerging from aDGVM2 were often multimodal, indicative of the emergence of multiple life- history strategies.
Second, to successfully model how natural selection forms a community requires accurate representation of how resource availability affects fitness. In the majority of dynamic global vegetation models (DGVMs) there is no real representation of plant hydraulics with plant water availability being calculated as a simple function of relative soil moisture content and root fractions across a number of soil layers. Worryingly, a number vegetation models appear to under represent the magnitude of these observed responses to drought. This was deficiency was ad- dressed in Chapter 3 by designing a simplified version of the cohesion tension theory of sapwood ascent where elements determining plant conductances are considered in series and implementing a set of trait trade-offs which influence a plant’s hydraulic strategy whereby hydraulic safety trades-off against xylem and leaf conductivity.
Interactions between the biosphere, pedosphere, and hydrosphere can also potentially mediate water resource availability and thus fitness. In the majority of DGVMs the volume of soil explored and explorable by plant roots in fixed glob- ally and usually constrained to a depth not greater than 3m. However, we know that soils can have a strong effect on vegetation distributions, that soil depth is not constant globally, and that plants root to variable depths.
In Chapter 4 I explored interactions between soil depth, plant rooting and the emergent properties of communities and highlighted the importance of considering interactions between the biosphere, hydrosphere, pedosphere, and fire. Here I demonstrated that, in addition to fire and precipitation, edaphic constraints on the volume of soil explorable by plant roots (e.g. by shallow soils, lateritic layers, anoxic conditions due to water logging, toxicity resulting from heavy metal concentrations) can affect the process of plant community assembly, alter the mean values of multiple traits in communities, and the trait diversity of communities.
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A twentieth century-long coupled atmosphere-ocean regional climate simulation with COSMO-CLM (Consortium for Small-Scale Modeling, Climate Limited-area Model) and NEMO (Nucleus for European Modelling of the Ocean) is studied here to evaluate the added value of coupled marginal seas over continental regions. The interactive coupling of the marginal seas, namely the Mediterranean, the North and the Baltic Seas, to the atmosphere in the European region gives a comprehensive modelling system. It is expected to be able to describe the climatological features of this geographically complex area even more precisely than an atmosphere-only climate model. The investigated variables are precipitation and 2 m temperature. Sensitivity studies are used to assess the impact of SST (sea surface temperature) changes over land areas. The different SST values affect the continental precipitation more than the 2 m temperature. The simulated variables are compared to the CRU (Climatic Research Unit) observational data, and also to the HOAPS/GPCC (Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data, Global Precipitation Climatology Centre) data. In the coupled simulation, added skill is found primarily during winter over the eastern part of Europe. Our analysis shows that, over this region, the coupled system is dryer than the uncoupled system, both in terms of precipitation and soil moisture, which means a decrease in the bias of the system. Thus, the coupling improves the simulation of precipitation over the eastern part of Europe, due to cooler SST values and in consequence, drier soil.
Historically, the expansion of soy plantations has been a major driver of land-use/cover change (LUCC) in Brazil. While a series of recent public actions and supply-chain commitments reportedly curbed the replacement of forests by soy, the expansion of the agricultural commodity still poses a considerable threat to the Amazonian and Cerrado biomes. Identification of areas under high risk of soy expansion is thus paramount to assist conservation efforts in the region. We mapped the areas suitable for undergoing transition to soy plantations in the Legal Amazon with a machine-learning approach adopted from the ecological modeling literature. Simulated soy expansion for the year 2014 exhibited favorable validation scores compared to other LUCC models. We then used our model to simulate how potential future infrastructure improvements would affect the 2014 probabilities of soy occurrence in the region. In addition to the 2.3 Mha of planted soy in the Legal Amazon in 2014, our model identified another 14.7 Mha with high probability of soy conversion in the region given the infrastructure conditions at that time. Out of those, pastures and forests represented 9.8 and 0.4 Mha, respectively. Under the new infrastructure scenarios simulated, the Legal Amazonian area under high risk of soy conversion increased by up to 2.1 Mha (14.6%). These changes led to up to 11.4 and 51.4% increases in the high-risk of conversion areas of pastures and forests, respectively. If conversion occurs in the identified high-risk areas, at least 4.8 Pg of CO2 could be released into the atmosphere, a value that represents 10 times the total CO2 emissions of Brazil in 2014. Our results highlight the importance of targeting conservation policies and enforcement actions, including the Soy Moratorium, to mitigate future forest cover loss associated with infrastructure improvements in the region.
We evaluate the near-surface representation of thermally driven winds in the Swiss Alps in a numerical weather prediction model at km-scale resolution. In addition, the influence of grid resolution (2.2 km and 1.1 km), topography filtering, and land surface datasets on the accuracy of the simulated valley winds is investigated. The simulations are evaluated against a comprehensive set of surface observations for an 18-day fair-weather summer period in July 2006. The episode is characterized by strong diurnal wind systems and the formation of shallow convection over the mountains, which transitions to precipitating convection in some areas. The near-surface winds (10 m above ground level) follow a typical diurnal pattern with strong daytime up-valley flow and weaker nighttime down-valley flow. At a 2.2 km resolution the valley winds are poorly simulated for most stations, while at a 1.1 km resolution the diurnal cycle of the valley winds is well represented in most large (e.g., Rhein valley at Chur and Rhone valley at Visp) and medium-sized valleys (e.g., Linth valley at Glarus). In the smaller valleys (e.g., Maggia valley at Cevio), the amplitude of the valley wind is still significantly underestimated, even at a 1.1 km resolution. Detailed sensitivity experiments show that the use of high-resolution land surface datasets, for both the soil characteristics as well as for the land cover, and reduced filtering of the topography are essential to achieve good performance at a 1.1 km resolution
The synthesis of polynitrogen compounds is of fundamental importance due to their potential as environmentally-friendly high energy density materials. Attesting to the intrinsic difficulties related to their formation, only three polynitrogen ions, bulk stabilized as salts, are known. Here, magnesium and molecular nitrogen are compressed to about 50 GPa and laser-heated, producing two chemically simple salts of polynitrogen anions, MgN4 and Mg2N4. Single-crystal X-ray diffraction reveals infinite anionic polythiazyl-like 1D N-N chains in the crystal structure of MgN4 and cis-tetranitrogen N44− units in the two isosymmetric polymorphs of Mg2N4. The cis-tetranitrogen units are found to be recoverable at atmospheric pressure. Our results respond to the quest for polynitrogen entities stable at ambient conditions, reveal the potential of employing high pressures in their synthesis and enrich the nitrogen chemistry through the discovery of other nitrogen species, which provides further possibilities to design improved polynitrogen arrangements.
State-of-the-art climate models contain, to a significant degree, empirical components. In particular, subgrid-scale (SGS) parameterizations are usually highly tuned against observations or high-resolution model data. While this enables the models to minimize the error during hindcasts, it is not guaranteed that it yields a benefit for climate projections because of climate change. In this thesis the Fluctuation-Dissipation theorem (FDT) is used to update the statistics of the system in the presence of an external forcing. If the empirical parameters are tuned objectively to the data (i.e., they depend on the statistics of the data), then they might be updated with the FDT. This ansatz is tested within a framework of a semi-empirical model (SEM) based on the leading variance patterns of a quasigeostrophic three-layer model (QG3LM) and supplemented by a purely data-driven parameterization. We show that the FDT is able to successfully update the tuning parameters of the data-driven SGS closure, resulting in a systematic improvement in model performance in comparison to an untreated SEM. Ideally, SGS parameterizations should contain little to no tuning parameters. Thus, complementary to the FDT approach we investigate a stochastic SGS closure constrained by first principles that is calculated using the stochastic mode reduction (SMR). The SMR allows for an analytic derivation of the SGS closure from the model equations while requiring only minimal tuning. We successfully apply the SMR to the QG3LM and construct the reduced stochastic model (RSM). Furthermore, we show that the RSM is more robust against an external forcing than the SEM. Additionally, we find that, under appropriate conditions, the FDT is able to update the empirical parts of the RSM. Yet, only for the response in mean streamfunction the RSM provides useful results, while the response in covariance of the streamfunction is incorrect for most cases. Nevertheless, we obtain a remarkably accurate response in both moments for the RSM in an idealized setting. In combination with the results of the FDT study this indicates that the considered RSM is too low dimensional and encourages us to investigate the response of larger RSMs in the future.
Abiotic formation of n-alkane hydrocarbons has been postulated to occur within Earth's crust. Apparent evidence was primarily based on uncommon carbon and hydrogen isotope distribution patterns that set methane and its higher chain homologues apart from biotic isotopic compositions associated with microbial production and closed system thermal degradation of organic matter. Here, we present the first global investigation of the carbon and hydrogen isotopic compositions of n-alkanes in volcanic-hydrothermal fluids hosted by basaltic, andesitic, trachytic and rhyolitic rocks. We show that the bulk isotopic compositions of these gases follow trends that are characteristic of high temperature, open system degradation of organic matter. In sediment-free systems, organic matter is supplied by surface waters (seawater, meteoric water) circulating through the reservoir rocks. Our data set strongly implies that thermal degradation of organic matter is able to satisfy isotopic criteria previously classified as being indicative of abiogenesis. Further considering the ubiquitous presence of surface waters in Earth’s crust, abiotic hydrocarbon occurrences might have been significantly overestimated.
To quantify water flows between groundwater (GW) and surface water (SW) as well as the impact of Abstract. To quantify water flows between groundwater (GW) and surface water (SW) as well as the impact of capillary rise on evapotranspiration by global hydrological models (GHMs), it is necessary to replace the bucket-like linear GW reservoir model typical for hydrological models with a fully integrated gradient-based GW flow model. Linear reservoir models can only simulate GW discharge to SW bodies, provide no information on the location of the GW table and assume that there is no GW flow among grid cells. A gradient-based GW model simulates not only GW storage but also hydraulic head, which together with information on SW table elevation enables the quantification of water flows from GW to SW and vice versa. In addition, hydraulic heads are the basis for calculating lateral GW flow among grid cells and capillary rise.
G³M is a new global gradient-based GW model with a spatial resolution of 5' that will replace the current linear GW reservoir in the 0.5° WaterGAP Global Hydrology Model (WGHM). The newly developed model framework enables inmemory coupling to WGHM while keeping overall runtime relatively low, allowing sensitivity analyses and data assimilation. This paper presents the G³M concept and specific model design decisions together with results under steady-state naturalized conditions, i.e. neglecting GW abstractions. Cell-specific conductances of river beds, which govern GW-SW interaction, were determined based on the 30'' steady-state water table computed by Fan et al. (2013). Together with an appropriate choice for the effective elevation of the SW table within each grid cell, this enables a reasonable simulation of drainage from GW to SW such that, in contrast to the GW model of de Graaf et al. (2015, 2017), no additional drainage based on externally provided values for GW storage above the floodplain is required in G³M. Comparison of simulated hydraulic heads to observations around the world shows better agreement than de Graaf et al. (2015). In addition, G³M output is compared to the output of two established macro-scale models for the Central Valley, California, and the continental United States, respectively. As expected, depth to GW table is highest in mountainous and lowest in flat regions. A first analysis of losing and gaining rivers and lakes/wetlands indicates that GW discharge to rivers is by far the dominant flow, draining diffuse GW recharge, such that lateral flows only become a large fraction of total diffuse and focused recharge in case of losing rivers and some areas with very low GW recharge. G³M does not represent losing rivers in some dry regions. This study presents the first steps towards replacing the linear GW reservoir model in a GHM while improving on recent efforts, demonstrating the feasibility of the approach and the robustness of the newly developed framework.
In global hydrological models, groundwater (GW) is typically represented by a bucket-like linear groundwater reservoir. Reservoir models, however, (1) can only simulate GW discharge to surface water (SW) bodies but not recharge from SW to GW, (2) provide no information on the location of the GW table, and (3) assume that there is no GW flow among grid cells. This may lead, for example, to an underestimation of groundwater resources in semiarid areas where GW is often replenished by SW or to an underestimation of evapotranspiration where the GW table is close to the land surface. To overcome these limitations, it is necessary to replace the reservoir model in global hydrological models with a hydraulic head gradient-based GW flow model.
We present G3M, a new global gradient-based GW model with a spatial resolution of 5′ (arcminutes), which is to be integrated into the 0.5∘ WaterGAP Global Hydrology Model (WGHM). The newly developed model framework enables in-memory coupling to WGHM while keeping overall runtime relatively low, which allows sensitivity analyses, calibration, and data assimilation. This paper presents the G3M concept and model design decisions that are specific to the large grid size required for a global-scale model. Model results under steady-state naturalized conditions, i.e., neglecting GW abstractions, are shown. Simulated hydraulic heads show better agreement to observations around the world compared to the model output of de Graaf et al. (2015). Locations of simulated SW recharge to GW are found, as is expected, in dry and mountainous regions but areal extent of SW recharge may be underestimated. Globally, GW discharge to rivers is by far the dominant flow component such that lateral GW flows only become a large fraction of total diffuse and focused recharge in the case of losing rivers, some mountainous areas, and some areas with very low GW recharge. A strong sensitivity of simulated hydraulic heads to the spatial resolution of the model and the related choice of the water table elevation of surface water bodies was found. We suggest to investigate how global-scale groundwater modeling at 5′ spatial resolution can benefit from more highly resolved land surface elevation data.
Latitudinal and bathymetrical species richness patterns in the NW Pacific and adjacent Arctic Ocean
(2019)
Global scale analyses have recently revealed that the latitudinal gradient in marine species richness is bimodal, peaking at low-mid latitudes but with a dip at the equator; and that marine species richness decreases with depth in many taxa. However, these overall and independently studied patterns may conceal regional differences that help support or qualify the causes in these gradients. Here, we analysed both latitudinal and depth gradients of species richness in the NW Pacific and its adjacent Arctic Ocean. We analysed 324,916 distribution records of 17,414 species from 0 to 10,900 m depth, latitude 0 to 90°N, and longitude 100 to 180°N. Species richness per c. 50 000 km2 hexagonal cells was calculated as alpha (local average), gamma (regional total) and ES50 (estimated species for 50 records) per latitudinal band and depth interval. We found that average ES50 and gamma species richness decreased per 5° latitudinal bands and 100 m depth intervals. However, average ES50 per hexagon showed that the highest species richness peaked around depth 2,000 m where the highest total number of species recorded. Most (83%) species occurred in shallow depths (0 to 500 m). The area around Bohol Island in the Philippines had the highest alpha species richness (more than 8,000 species per 50,000 km2). Both alpha and gamma diversity trends increased from the equator to latitude 10°N, then further decreased, but reached another peak at higher latitudes. The latitudes 60–70°N had the lowest gamma and alpha diversity where there is almost no ocean in our study area. Model selection on Generalized Additive Models (GAMs) showed that the combined effects of all environmental predictors produced the best model driving species richness in both shallow and deep sea. The results thus support recent hypotheses that biodiversity, while highest in the tropics and coastal depths, is decreasing at the equator and decreases with depth below ~2000 m. While we do find the declines of species richness with latitude and depth that reflect temperature gradients, local scale richness proved poorly correlated with many environmental variables. This demonstrates that while regional scale patterns in species richness may be related to temperature, that local scale richness depends on a greater variety of variables.
Analysis of stratospheric transport from an observational point of view is frequently realized by evaluation of mean age of air values from long-lived trace gases. However, this provides more insight into general transport strength and less into its mechanism. Deriving complete transit time distributions (age spectra) is desirable, but their deduction from direct measurements is difficult and so far primarily achieved by assumptions about dynamics and spectra themselves. This paper introduces a modified version of an inverse method to infer age spectra from mixing ratios of short-lived trace gases. For a full description of transport seasonality the formulation includes an imposed seasonal cycle to gain multimodal spectra. The EMAC model simulation used for a proof of concept features an idealized dataset of 40 radioactive trace gases with different chemical lifetimes as well as 40 chemically inert pulsed trace gases to calculate pulse age spectra. Annual and seasonal mean inverse spectra are compared to pulse spectra including first and second moments as well as the ratio between them to assess the performance on these time scales. Results indicate that the modified inverse age spectra match the annual and seasonal pulse age spectra well on global scale beyond 1.5 years mean age of air. The imposed seasonal cycle emerges as a reliable tool to include transport seasonality in the age spectra. Below 1.5 years mean age of air, tropospheric influence intensifies and breaks the assumption of single entry through the tropical tropopause, leading to inaccurate spectra in particular in the northern hemisphere. The imposed seasonal cycle wrongly prescribes seasonal entry in this lower region and does not lead to a better agreement between inverse and pulse age spectra without further improvement. As the inverse method aims for future implementation on in situ observational data, possible critical factors for this purpose are delineated finally.
Deriving stratospheric age of air spectra using an idealized set of chemically active trace gases
(2019)
Analysis of stratospheric transport from an observational point of view is frequently realized by evaluation of the mean age of air values from long-lived trace gases. However, this provides more insight into general transport strength and less into its mechanism. Deriving complete transit time distributions (age spectra) is desirable, but their deduction from direct measurements is difficult. It is so far primarily based on model work. This paper introduces a modified version of an inverse method to infer age spectra from mixing ratios of short-lived trace gases and investigates its basic principle in an idealized model simulation. For a full description of transport seasonality the method includes an imposed seasonal cycle to gain multimodal spectra. An ECHAM/MESSy Atmospheric Chemistry (EMAC) model simulation is utilized for a general proof of concept of the method and features an idealized dataset of 40 radioactive trace gases with different chemical lifetimes as well as 40 chemically inert pulsed trace gases to calculate pulse age spectra. It is assessed whether the modified inverse method in combination with the seasonal cycle can provide matching age spectra when chemistry is well-known. Annual and seasonal mean inverse spectra are compared to pulse spectra including first and second moments as well as the ratio between them to assess the performance on these timescales. Results indicate that the modified inverse age spectra match the annual and seasonal pulse age spectra well on global scale beyond 1.5 years of mean age of air. The imposed seasonal cycle emerges as a reliable tool to include transport seasonality in the age spectra. Below 1.5 years of mean age of air, tropospheric influence intensifies and breaks the assumption of single entry through the tropical tropopause, leading to inaccurate spectra, in particular in the Northern Hemisphere. The imposed seasonal cycle wrongly prescribes seasonal entry in this lower region and does not lead to a better agreement between inverse and pulse age spectra without further improvement. Tests with a focus on future application to observational data imply that subsets of trace gases with 5 to 10 species are sufficient for deriving well-matching age spectra. These subsets can also compensate for an average uncertainty of up to ±20 % in the knowledge of chemical lifetime if a deviation of circa ±10 % in modal age and amplitude of the resulting spectra is tolerated.
Understanding new particle formation and growth is important because of the strong impact of these processes on climate and air quality. Measurements to elucidate the main new particle formation mechanisms are essential; however, these mechanisms have to be implemented in models to estimate their impact on the regional and global scale. Parameterizations are computationally cheap ways of implementing nucleation schemes in models but they have their limitations, as they do not necessarily include all relevant parameters. Process models using sophisticated nucleation schemes can be useful for the generation of look-up tables in large scale models or for the analysis of individual new particle formation events. In addition, some other important properties can be derived from a process model that implicitly calculates the evolution of the full aerosol size distribution, e.g., the particle growth rates. Within this study, a model (SANTIAGO, Sulfuric acid Ammonia NucleaTIon And GrOwth model) is constructed that simulates new particle formation starting from the monomer of sulfuric acid up to a particle size of several hundred nanometers. The smallest sulfuric acid clusters containing one to four acid molecules and varying amount of base (ammonia) are allowed to evaporate in the model, whereas growth beyond the pentamer (5 sulfuric acid molecules) is assumed to be entirely collision-controlled. The main goal of the present study is to derive appropriate thermodynamic data needed to calculate the cluster evaporation rates as a function of temperature. These data are derived numerically from CLOUD (Cosmics Leaving OUtdoor Droplets) chamber new particle formation rates for neutral sulfuric acid-water-ammonia nucleation at temperatures between 208 K and 292 K. The numeric methods include an optimization scheme to derive the best estimates for the thermodynamic data (dH and dS) and a Monte Carlo method to derive their probability density functions. The derived data are compared to literature values. Using different data sets for dH and dS in SANTIAGO detailed comparison between model results and measured CLOUD new particle formation rates is discussed.
Understanding new particle formation and growth is important because of the strong impact of these processes on climate and air quality. Measurements to elucidate the main new particle formation mechanisms are essential; however, these mechanisms have to be implemented in models to estimate their impact on the regional and global scale. Parameterizations are computationally cheap ways of implementing nucleation schemes in models, but they have their limitations, as they do not necessarily include all relevant parameters. Process models using sophisticated nucleation schemes can be useful for the generation of look-up tables in large-scale models or for the analysis of individual new particle formation events. In addition, some other important properties can be derived from a process model that implicitly calculates the evolution of the full aerosol size distribution, e.g., the particle growth rates. Within this study, a model (SANTIAGO – Sulfuric acid Ammonia NucleaTIon And GrOwth model) is constructed that simulates new particle formation starting from the monomer of sulfuric acid up to a particle size of several hundred nanometers. The smallest sulfuric acid clusters containing one to four acid molecules and a varying amount of base (ammonia) are allowed to evaporate in the model, whereas growth beyond the pentamer (five sulfuric acid molecules) is assumed to be entirely collision-controlled. The main goal of the present study is to derive appropriate thermodynamic data needed to calculate the cluster evaporation rates as a function of temperature. These data are derived numerically from CLOUD (Cosmics Leaving OUtdoor Droplets) chamber new particle formation rates for neutral sulfuric acid–water–ammonia nucleation at temperatures between 208 and 292 K. The numeric methods include an optimization scheme to derive the best estimates for the thermodynamic data (dH and dS) and a Monte Carlo method to derive their probability density functions. The derived data are compared to literature values. Using different data sets for dH and dS in SANTIAGO detailed comparison between model results and measured CLOUD new particle formation rates is discussed.
Within the world’s oceans, regionally distinct ecological niches develop due to differences in water temperature, nutrients, food availability, predation and light intensity. This results in differences in the vertical dispersion of planktonic foraminifera on the global scale. Understanding the controls on these modern-day distributions is important when using these organisms for paleoceanographic reconstructions. As such, this study constrains modern depth habitats for the northern equatorial Indian Ocean, for 14 planktonic foraminiferal species (G. ruber, G. elongatus, G. pyramidalis, G. rubescens, T. sacculifer, G. siphonifera, G. glutinata, N. dutertrei, G. bulloides, G. ungulata, P. obliquiloculata, G. menardii, G. hexagonus, G. scitula) using stable isotopic signatures (δ18O and δ13C) and Mg/Ca ratios. We evaluate two aspects of inferred depth habitats: (1) the significance of the apparent calcification depth (ACD) calculation method/equations and (2) regional species-specific ACD controls. Through a comparison with five global, (sub)tropical studies we found the choice of applied equation and δ18Osw significant and an important consideration when comparing with the published literature. The ACDs of the surface mixed layer and thermocline species show a tight clustering between 73–109 m water depth coinciding with the deep chlorophyll maximum (DCM). Furthermore, the ACDs for the sub-thermocline species are positioned relative to secondary peaks in the local primary production. We surmise that food source plays a key role in the relative living depths for the majority of the investigated planktonic foraminifera within this oligotrophic environment of the Maldives and elsewhere in the tropical oceans.
Parabens and sorbic acid are commonly used as food preservatives due to their antimicrobial effect. However, their use in foods for infants and young children is not permitted in the European Union. Previous studies found these compounds in some gel-filled baby teethers, whereby parabens, which are well-known as endocrine disruptors, were identified in the polymer-based chewing surface consisting of ethylene-vinyl acetate (EVA). To assess the exposure of infants and young children to these products, the application of parabens in teethers should be thoroughly investigated. Therefore, the present study aimed to apply a representative migration test procedure combined with an accurate analytical method to examine gel-filled baby teethers without elaborate sample preparation, high costs, and long processing times. Accordingly, solid-phase extraction (SPE), in combination with a stable isotope dilution assay (SIDA) and subsequent gas chromatography–mass spectrometry (GC–MS) for analysis of methyl-, ethyl-, and n-propylparaben (MeP, EtP, and n-PrP), was found to be well-suited, with recoveries ranging from 93 to 99%. The study compared the release of these parabens from intact teether surfaces into water and saliva simulant under real-life conditions, with total amounts of detected parabens found to be in the range of 101–162 µg 100 mL−1 and 57–148 µg 100 mL−1, respectively. Furthermore, as a worst-case scenario, the release into water was examined using a long-term migration study.
During my PhD, I was applying the clumped isotope technique to modern brachiopods and fossil belemnites, and I conducted methodological work. Carbonate clumped isotope thermometry is a tool to reconstruct carbonate precipitation temperatures. In contrast to oxygen isotope thermometry, i.e., the δ18O-thermometer, the carbonate clumped isotope thermometer does not require an estimate for the oxygen isotope composition of the seawater, as it considers the fractionation of isotopes exclusively amongst carbonate isotopologues. The ∆47 value of a carbonate expresses the abundance of the 13C–18O bond bearing carbonate isotopologue, within the carbonate, relative to its random distribution. In thermodynamic equilibrium, the ∆47 value of a given carbonate is solely a function of the carbonate precipitation temperature. However, kinetic isotope fractionations, i.e., vital effects, driven by diffusion, pH or incomplete oxygen isotope exchange between water and dissolved inorganic carbonate species can cause the carbonate to be precipitated with isotopic compositions that are offset from those predicted for thermodynamic equilibrium.
Brachiopods serve as important geochemical archives of past climate conditions. To investigate the nature and significance of kinetic controls on brachiopod shell δ18O and ∆47 values, in collaboration with the BASE-LiNE Earth ITN, I analysed the bulk and clumped isotope compositions of eighteen modern brachiopod shells, collected from different geographic locations and water depths that cover a substantial range of growth temperatures. Growth temperatures and seawater δ18O values for each brachiopod were independently determined. Most of the analysed brachiopods exhibit combined offsets from clumped and oxygen isotope equilibrium, and there is a significant negative correlation between the offset values. The observed correlation slope between offset ∆47 and offset δ18O point to the importance of kinetic effects associated with Knudsen diffusion and incomplete hydration and hydroxylation of CO2 (aq), occurring during biomineralisation. The correlations between the growth rates of the analysed brachiopods and both the offset ∆47 and the offset δ18O values provide further arguments for the presence of kinetic effects. In conclusion, the oxygen and clumped isotope composition of modern brachiopod shells are affected by growth rate-induced kinetic effects that hinder their use for palaeoceanography.
In der vorliegenden Arbeit wurde ein neuer optischer Aufbau für das Laserlabor der Abteilung Kristallographie im FB 11 an der Goethe-Universität Frankfurt beschrieben. Mit Hilfe dieses Aufbaus konnten verschiedene spektroskopische Methoden genutzt werden, um die - von Druck und Temperatur abhängige - Phasenstabilität von Calcium- und Eisencarbonaten zu untersuchen. Mit Hilfe von Raman-Spektroskopie konnte das Phasendiagramm von Calciumcarbonat (CaCO3) teilweise neu bestimmt werden. Fluoreszenzuntersuchungen an dotierten CaCO3 Proben ergaben, dass sich Europium-dotierter Calcit zunächst in eine amorphe Form umwandelt, bevor er bei ca. 15 GPa in eine amorphe 'aragonitische' Form umgewandelt wird. Die Umwandlung ist nicht reversibel. Laserheizexperimente bei 18.5 GPa an dotiertem Siderit (FeCO3) führten zur Bildung eines neuen Hochdruck-Hochtemperatur FeCO3 -Polymorphs. Die Strukturlösung erfolgte mit Hilfe von Röntgendaten, die am Deutschen Elektronen-Synchrotron (DESY) in Hamburg gewonnen wurden. Schließlich wurde eine neue Methode zur Bestimmung von Temperaturen in Laserheizexperimenten beschrieben. Sie beruht auf der Abschwächung eines Fluoreszenzsignals durch die Temperatur, welche durch die Wechselwirkung eines Heizlasers mit der Probe erzeugt wird.
Das Wissen über die Wolkenmikrophysik und die Wechselwirkung zwischen Niederschlag und Aerosol ist ein wichtiger Baustein zur Optimierung von Klima- und Wettermodellen. Ein Großteil des Niederschlags in den mittleren Breiten fällt aus Mischphasenwolken, die aus unterkühlten Tröpfchen und Eispartikeln bestehen. Die Eispartikel bilden sich an speziellen Aerosolpartikeln, die als Eiskeime (INP) wirken können. Die Wahrscheinlichkeit eines Aerosols als Eiskeim zu wirken, nimmt mit abnehmender Temperatur und steigender Wassersättigung zu. Mineralstaubpartikel sind die häufigsten Eiskeime, die ab Temperaturen ≤−15°C aktiv sind, biologische Partikel wirken schon bei wärmeren Bedingungen. Große Wissenslücken bestehen noch bei der globalen Konzentration von Eiskeimen, inklusive deren geographischer und jahreszeitlicher Variabilität.
Im Zentrum der Experimente, die für diese Arbeit durchgeführt wurden, steht der Eiskeimzähler FRIDGE (Frankfurt Ice Deposition Freezing Experiment). Je nach Aufbau und Anwendung des Instruments werden zwei verschiedene Ansätze zur Aktivierung von Eiskeimen verfolgt. Die ursprüngliche und namensgebende Methode in Form einer Vakuum-Diffusionskammer wurde zur Untersuchung von Eisnukleation via Depositionsgefrieren (an INP_D) entwickelt (Klein et al., 2010). Danielczok (2015) nutzte einige Bestandteile des Analysegeräts, um auch Immersionsgefrieren (an INP_I) in Form von Tröpfchengefrieren à la Vali (1971) zu studieren. In der vorliegenden Arbeit wurde diese Anwendungsmöglichkeit von FRIDGE weiterentwickelt. Ein zentraler Schritt war dabei die präzise Charakterisierung des Gefrierverhaltens von Tröpfchen aus Reinstwasser ohne zusätzliches Aerosol. Die Einbeziehung dieses sogenannten Hintergrundgefrierens, das für jedes Instrument und Messverfahren spezifisch ist, ermöglichte es, die Minimaltemperatur, für die zuverlässige Ergebnisse produziert werden können, von −22°C auf −29°C herabzusetzen. Der dadurch hinzugewonnene Temperaturbereich ist für Eisnukleation in Mischphasenwolken äußerst relevant.
Beide Anwendungsmethoden wurden im Rahmen des Fifth International Workshop on Ice Nucleation – Phase 2 (FIN-02) sowie bei einer weiteren Kampagne zur Messung von Eisnukleation an Cellulosepartikeln mit über zwanzig anderen Eiskeimzählern verglichen. Mit FRIDGE als Diffusionskammer wurde für die Mehrheit der untersuchten Aerosoltypen eine zufriedenstellende Übereinstimmung mit den anderen Instrumenten beobachtet. Die Experimente mit gefrierenden Tröpfchen in FRIDGE erzielten ausnahmslos Ergebnisse, die inmitten der Werte der anderen Instrumente lagen. Die erfolgreiche Validierung – besonders der neuen Anwendungsmethode – war das erste Ziel dieser Arbeit und die notwendige Voraussetzung für die anschließenden Feldmessungen.
Atmosphärische Eiskeimkonzentrationen wurden in mehrwöchigen Feldmesskampagnen an drei sehr unterschiedlichen Orten und atmosphärischen Bedingungen untersucht: an der Hochalpinen Forschungsstation Jungfraujoch (JFJ), am Storm Peak Laboratory (SPL) in den Rocky Mountains und am Cyprus Atmospheric Observatory (CAO) in Zypern. Am JFJ wurde eine INP-Konzentration beobachtet, die um den Faktor 20 niedriger als an den anderen beiden Stationen war. Der Grund dafür war, dass sich das Jungfraujoch die meiste Zeit der Messungen in der freien Troposphäre befand. Dementsprechend waren die Bedingungen an der Station von aerosolpartikelarmer Luft mit wenigen Eiskeimen geprägt. An zwei Standorten wurde Mineralstaub als ein Parameter, der die lokale INP-Konzentration positiv beeinflusst, identifiziert. Sowohl am JFJ als auch am CAO erhöhte ferntransportierter Saharastaub die INP-Konzentration.
Die Kombination der zwei Analysemethoden, die Aerosolproben aus derselben Luft entweder in trockenem Ausgangszustand oder in Tröpfchen suspendiert untersuchen, offenbarte eine interessante Eigenschaft der INP. Es herrschte eine offensichtliche Parallelität von INP_D- und INP_I- Konzentrationen. Bei fast allen Messungen waren INP_I etwa 10-mal häufiger als INP_D. Die Aussage trifft gleichermaßen auf sehr niedrige Konzentrationen am JFJ wie auch auf hohe Konzentrationen am SPL und CAO zu. Die einzige Ausnahme bilden Cellulosepartikel. Daraus lässt sich schließen, dass INP_D und INP_I dieselben Partikel sind, die je nach Aktivierungskonditionen Eisnukleation unterschiedlich effektiv hervorrufen.
About half of present-day cloud condensation nuclei originate from atmospheric nucleation, frequently appearing as a burst of new particles near midday1. Atmospheric observations show that the growth rate of new particles often accelerates when the diameter of the particles is between one and ten nanometres2,3. In this critical size range, new particles are most likely to be lost by coagulation with pre-existing particles4, thereby failing to form new cloud condensation nuclei that are typically 50 to 100 nanometres across. Sulfuric acid vapour is often involved in nucleation but is too scarce to explain most subsequent growth5,6, leaving organic vapours as the most plausible alternative, at least in the planetary boundary layer7,8,9,10. Although recent studies11,12,13 predict that low-volatility organic vapours contribute during initial growth, direct evidence has been lacking. The accelerating growth may result from increased photolytic production of condensable organic species in the afternoon2, and the presence of a possible Kelvin (curvature) effect, which inhibits organic vapour condensation on the smallest particles (the nano-Köhler theory)2,14, has so far remained ambiguous. Here we present experiments performed in a large chamber under atmospheric conditions that investigate the role of organic vapours in the initial growth of nucleated organic particles in the absence of inorganic acids and bases such as sulfuric acid or ammonia and amines, respectively. Using data from the same set of experiments, it has been shown15 that organic vapours alone can drive nucleation. We focus on the growth of nucleated particles and find that the organic vapours that drive initial growth have extremely low volatilities (saturation concentration less than 10−4.5 micrograms per cubic metre). As the particles increase in size and the Kelvin barrier falls, subsequent growth is primarily due to more abundant organic vapours of slightly higher volatility (saturation concentrations of 10−4.5 to 10−0.5 micrograms per cubic metre). We present a particle growth model that quantitatively reproduces our measurements. Furthermore, we implement a parameterization of the first steps of growth in a global aerosol model and find that concentrations of atmospheric cloud concentration nuclei can change substantially in response, that is, by up to 50 per cent in comparison with previously assumed growth rate parameterizations.
New geochemical data from the Malawi Rift (Chiwondo Beds, Karonga Basin) fill a major spatial gap in our knowledge of hominin adaptations on a continental scale. Oxygen (δ18O), carbon (δ13C), and clumped (Δ47) isotope data on paleosols, hominins, and selected fauna elucidate an unexpected diversity in the Pleistocene hominin diet in the various habitats of the East African Rift System (EARS). Food sources of early Homo and Paranthropus thriving in relatively cool and wet wooded savanna ecosystems along the western shore of paleolake Malawi contained a large fraction of C3 plant material. Complementary water consumption reconstructions suggest that ca. 2.4 Ma, early Homo (Homo rudolfensis) and Paranthropus (Paranthropus boisei) remained rather stationary near freshwater sources along the lake margins. Time-equivalent Paranthropus aethiopicus from the Eastern Rift further north in the EARS consumed a higher fraction of C4 resources, an adaptation that grew more pronounced with increasing openness of the savanna setting after 2 Ma, while Homo maintained a high versatility. However, southern African Paranthropus robustus had, similar to the Malawi Rift individuals, C3-dominated feeding strategies throughout the Early Pleistocene. Collectively, the stable isotope and faunal data presented here document that early Homo and Paranthropus were dietary opportunists and able to cope with a wide range of paleohabitats, which clearly demonstrates their high behavioral flexibility in the African Early Pleistocene.
The growth of freshly formed aerosol particles can be the bottleneck in their survival to cloud condensation nuclei. It is therefore crucial to understand how particles grow in the atmosphere. Insufficient experimental data has impeded a profound understanding of nano-particle growth under atmospheric conditions. Here we study nano-particle growth in the CLOUD (Cosmics Leaving OUtdoors Droplets) chamber, starting from the formation of molecular clusters. We present measured growth rates at sub-3 nm sizes with different atmospherically relevant concentrations of sulphuric acid, water, ammonia and dimethylamine. We find that atmospheric ions and small acid-base clusters, which are not generally accounted for in the measurement of sulphuric acid vapour, can participate in the growth process, leading to enhanced growth rates. The availability of compounds capable of stabilizing sulphuric acid clusters governs the magnitude of these effects and thus the exact growth mechanism. We bring these observations into a coherent framework and discuss their significance in the atmosphere.
The main objective of this PhD work is to assess the impact of fine-scale air-sea interaction on the performance of a regional climate prediction model in marginal sea regions. Focus is on the North and Baltic Seas, the largest marginal sea area in the mid-latitudes. Motivation for this work is to better understand the interaction between the different components of the climate system, namely atmosphere, ocean and sea-ice. In addition to that, the sea regions of interest, the North and Baltic Seas, are orographically complex and cannot be resolved by a global ocean model. The ice coverage on the Baltic Sea is underestimated in the stand-alone atmospheric model COSMO-CLM due to the low water freezing temperature value assumed, which is not applicable for such brackish water body. To fulfil the thesis goal, a new regional coupled atmosphere-ocean-ice system was developed for these two seas, named COSMO-CLM/NEMO. The two-way coupling system involves active feedback from both component models: the limited-area climate model COSMO-CLM and the regional ocean model NEMO-NORDIC.
The coupled system COSMO-CLM/NEMO for the North and Baltic Seas was used to study the impact of sea surface temperature and sea ice on the atmosphere on diffrent topics. The long term impact of the North and Baltic Seas was studied through 15- year long simulations driven by European Center for Medium-Range Weather Forecasts (ECMWF) Interim reanalysis (ERA-Interim) data. Furthermore, to see whether the marginal sea modelling can advance the simulation of extreme climate events, the coupled model was used to reproduce six extreme snowband phenomena over the Baltic Sea in simulations driven by ERA-interim data. Last but not least, the role of the North and Baltic Sea model in improving long-term regional climate prediction was examined. Two sets of experiments with coupled and uncoupled models, each set has five independent decadal hindcasts forced by global climate model, were carried out.
All results were compared with observations and the stand-alone atmospheric model COSMO-CLM results. In all experiments, COSMO-CLM/NEMO showed good agreement with observations. Improvements compared with the uncoupled COSMO-CLM were also found. Coupling was found to affect the air temperature not only around the coupled sea region but also inland. The convective snowbands over the Baltic Sea were successfully reproduced by the coupled model. The high contrast of temperature in the air column, as well as considerably high amounts of surface heat fluxes exchanged between air and sea could not be simulated by COSMO-CLM without the help of reanalysis data. The coupled model also provided better forecasts in decadal scales compared with the uncoupled model and the global model. The added predictability came from the initialized regional seas and better simulated sea surface temperatures by the ocean model.
The impact of the North and Baltic Seas on the climate of the surrounding regions is in certain phases dominated by the North Atlantic Oscillation (NAO) activity. In this thesis, the relation between the NAO and the marginal sea influences was studied. It is confirmed by this study that, in strong phases, the NAO can overpower the impact of the local seas. During dominant phases of NAO, the European climate is mainly governed by large-scale circulation. On the other hand, the local seas play an important role in determining the European climate when NAO is in weak phases.
The added value of the coupled model raises promising perspectives for research in this field. It points to a potential benefit of using the coupled atmosphere-ocean-ice system for climate prediction in the region surrounding the North and Baltic Seas. Along with that, it is still a challenge to complete the model representation of the climate system by adding more climate components (such as a hydrological model). Further improvement of the coupled system can be achieved by coupling for a larger sea region, or by trying to reduce remaining low performance of the coupled model in some areas with a better configuration of the current system.
A 3d regional density-driven flow model of a heterogeneous aquifer system at the German North Sea Coast is set up within the joint project NAWAK (“Development of sustainable adaption strategies for the water supply and distribution infrastructure on condition of climatic and demographic change”). The development of the freshwater-saltwater interface is simulated for three climate and demographic scenarios.
Groundwater flow simulations are performed with the finite volume code d3f++ (distributed density driven flow) that has been developed with a view to the modelling of large, complex, strongly density-influenced aquifer systems over long time periods.
Here we present a comprehensive attempt to correlate aragonitic Na / Ca ratios from Lophelia pertusa, Madrepora oculata and a caryophylliid cold-water coral (CWC) species with different seawater parameters such as temperature, salinity and pH. Living CWC specimens were collected from 16 different locations and analyzed for their Na / Ca content using solution-based inductively coupled plasma-optical emission spectrometry (ICP-OES) measurements. The results reveal no apparent correlation with salinity (30.1–40.57 g/kg) but a significant inverse correlation with temperature (−0.31 mmol/mol/°C). Other marine aragonitic organisms such as Mytilus edulis (inner aragonitic shell portion) and Porites sp. exhibit similar results highlighting the consistency of the calculated CWC regressions. Corresponding Na / Mg ratios show a similar temperature sensitivity to Na / Ca ratios, but the combination of two ratios appear to reduce the impact of vital effects and domain-dependent geochemical variation. The high degree of scatter and elemental heterogeneities between the different skeletal features in both Na / Ca and Na / Mg however limit the use of these ratios as a proxy and/or make a high number of samples necessary. Additionally, we explore two models to explain the observed temperature sensitivity of Na / Ca ratios for an open and semi-enclosed calcifying space based on temperature sensitive Na and Ca pumping enzymes and transport proteins that change the composition of the calcifying fluid and consequently the skeletal Na / Ca ratio.
An accelerating Brewer-Dobson circulation (BDC) is a robust signal of climate change in model predictions but has been questioned by trace gas observations. We analyze stratospheric mean age of air and the full age spectrum as measures for the BDC and its trend. Age of air is calculated with the Chemical Lagrangian Model of the Stratosphere (CLaMS) driven by ERA-Interim, JRA-55 and MERRA-2 reanalysis data to assess the robustness of the representation of the BDC in current generation meteorological reanalyses. We find that climatological mean age significantly depends on the reanalysis, with JRA-55 showing the youngest and MERRA-2 the oldest mean age. Consideration of the age spectrum indicates that the older age for MERRA-2 is related to a stronger spectrum tail, likely related to weaker tropical upwelling and stronger recirculation. Seasonality of stratospheric transport is robustly represented in reanalyses, with similar mean age variations and age spectrum peaks. Long-term changes over 1989–2015 turn out to be similar for the reanalyses with mainly decreasing mean age accompanied by a shift of the age spectrum peak towards shorter transit times, resembling the forced response in climate model simulations to increasing greenhouse gas concentrations. For the shorter periods 1989–2001 and 2002–2015 age of air changes are less robust. Only ERA-Interim shows the hemispheric dipole pattern in age changes during 2002–2015 as viewed by recent satellite observations. Consequently, the representation of decadal variability of the BDC in current generation reanalyses appears less robust and a major uncertainty of modelling the BDC.
The Paleocene-Eocene Thermal Maximum (PETM) offers insight into massive short-term carbon cycle perturbations that caused significant warming during a high-pCO2 world, affecting both marine and terrestrial ecosystems. PETM records from the marine-terrestrial interface (e.g. estuarine swamps and mire deposits) are, therefore, of great interest as their present-day counterparts are highly vulnerable to future climate and sea level change. Here, we assess paleoenvironmental changes of mid-latitudinal Late Paleocene-Early Eocene peat mire records along the paleo-North Sea coast. We provide carbon isotope data of bulk organic matter (δ13CTOC), organic carbon content (%TOC), and palynological data from an extensive peat mire deposited at a mid-latitudinal (ca. 41 °N) coastal site (Schöningen, Germany). The δ13CTOC data show a carbon isotope excursion (CIE) of −1.7 ‰ coeval with a conspicuous Apectodinium acme, calling for the presence of the PETM in this coastal section. Due to the exceptionally large stratigraphic thickness of the PETM at Schöningen (10 m of section) we established a detailed palynological record that indicates only minor changes in paleovegetation leading to and during the PETM. Instead, paleovegetation changes mostly follow natural successions in response to changes along the marine-terrestrial interface. Compared to other available peat mire records (Cobham, UK; Vasterival, France) it appears that wetland deposits around the Paleogene North Sea have a typical CIE magnitude of ca. −1.3 ‰ in δ13CTOC. Moreover, the Schöningen record shares major characteristics with the Cobham Lignite, including evidence for increased fire activity prior to the PETM, minor PETM-related plant species changes, a reduced CIE in δ13CTOC, and drowning of the mire (marine ingressions) during much of the PETM. This suggests that paleoenvironmental conditions during the Late Paleocene-Early Eocene, including the PETM, consistently affected major segments of the paleo-North Sea coast.
In global hydrological models, groundwater storages and flows are generally simulated by linear reservoir models. Recently, the first global gradient-based groundwater models were developed in order to improve the representation of groundwater-surface water interactions, capillary rise, lateral flows and human water use impacts. However, the reliability of model outputs is limited by a lack of data as well as model assumptions required due to the necessarily coarse spatial resolution. The impact of data quality is presented by showing the sensitivity of a groundwater model to changes in the only available global hydraulic conductivity data-set. To better understand the sensitivity of model output to uncertain spatially distributed parameter inputs, we present the first application of a global sensitivity method for a global-scale groundwater model using nearly 2000 steady-state model runs of the global gradient-based groundwater model G3M. By applying the Morris method in a novel domain decomposition approach that identifies global hydrological response units, spatially distributed parameter sensitivities are determined for a computationally expensive model. Results indicate that globally simulated hydraulic heads are equally sensitive to hydraulic conductivity, groundwater recharge and surface water body elevation, though parameter sensitivities vary regionally. For large areas of the globe, rivers are simulated to be either losing or gaining, depending on the parameter combination, indicating a high uncertainty of simulating the direction of flow between the two compartments. Mountainous and dry regions show a high variance in simulated head due to numerical difficulties of the model, limiting the reliability of computed sensitivities in these regions. This instability is likely caused by the uncertainty in surface water body elevation. We conclude that maps of spatially distributed sensitivities can help to understand complex behaviour of models that incorporate data with varying spatial uncertainties. The findings support the selection of possible calibration parameters and help to anticipate challenges for a transient coupling of the model.
Air-sea feedbacks between the Mediterranean Sea and the atmosphere on various temporal and spatial scales play a major role in the Mediterranean regional climate system and beyond. The Mediterranean Sea is a source of moisture due to excess evaporation and, on a long-term average, is associated with a warming of the lower atmosphere in contact with the sea surface due to heat loss at the air-sea interface. The complex air-sea interactions and feedbacks in the Mediterranean basin strongly modulate the sea surface fluxes and favor several cyclogenetic activities under certain meteorological conditions. Examples of such cyclonic activities are medicanes (Mediterranean hurricanes) and Vb-cyclones. Medicanes are mesoscale, marine, and warm-core Mediterranean cyclones that exhibit some similarities to tropical cyclones, while Vb-cyclones are extra-tropical cyclones, that propagate from the Western Mediterranean Sea and travel across the Eastern European Alps into the Central European region. Extremely strong winds and heavy precipitation associated with these cyclones can lead to severe destruction and flooding. Changes in the intensity and frequency of these cyclones are also projected under changing future climate conditions, where the Mediterranean region has been identified as a hotspot in terms of rising temperatures.
The development of high-resolution regional climate models (RCMs) has progressed our understanding of the processes characterizing the Mediterranean climate. However, large uncertainties still exist regarding the estimates of air-sea fluxes, which, in turn, affect the simulation of the Mediterranean climate. Several factors can be attributed to such discrepancies, such as data quality, temporal and spatial resolution, and the misrepresentation of physical processes. To overcome some of these inconsistencies and deficiencies of the existing climate simulations, a new high-resolution atmosphere-ocean regional coupled model (AORCM) has been developed to simulate the air-sea feedback mechanisms. This coupled model incorporates the coupling of RCM COSMO-CLM (CCLM) and the regional ocean model NEMO-MED12 for the Mediterranean Sea (MED) as well as NEMO-NORDIC for the North- and Baltic Sea (NORDIC). Several experiments were performed using both the coupled and uncoupled models to investigate the impact of air-sea interactions and feedbacks on sea surface heat fluxes, wind speed, and on the formation of Mediterranean cyclones (i.e., medicanes and Vb-cyclones). These experiments were performed using different horizontal atmospheric grid resolutions to analyze the effect of resolution on sea surface heat fluxes, wind speed, and the development of medicanes.
The results of the present study indicate that a finer atmospheric grid resolution ([is as appreciated as]9 vs. [is as appreciated as]50 km) improved the wind speed simulations (particularly near coastal areas) and subsequently improved the simulations of the turbulent heat fluxes. Both parameters were better simulated in the coupled simulations than in the uncoupled simulations, but coupling introduced a warm SST bias in winter. Radiation fluxes were slightly better represented in coarse-grid simulations than in fine-grid simulations. However, the higher-resolution coupled model could reproduce the observed net outgoing total surface heat flux over the Mediterranean Sea. In addition to that sub diurnal SST variations have a strong effect on sub-daily heat fluxes and wind speed but minor effects at longer timescales. Regarding the impact of atmospheric grid resolution ([is as appreciated as]50, 25, and [is as appreciated as]9 km) and ocean coupling on medicanes, it was detected that the coupled model with a finer atmospheric grid ([is as appreciated as]9 km) was able to not only reproduce most medicane events, but also improved the track length, warm core, and wind speed compared to the uncoupled model. The coupled model with the coarse-grid ([is as appreciated as]50 and [is as appreciated as]25 km) did not show any improvement in simulating medicanes compared to the uncoupled model. The spectral nudging technique, applied on the wind components above 850 hPa in the interior domain to keep large-scale circulation close to the driving data (i.e., ERAInterim reanalysis), improved the accuracy of the times and locations of generated medicanes, but no improvement was found in the track length and intensity.
Concerning the role of the Mediterranean Sea coupling on Vb cyclones, the investigation showed that atmosphere-ocean coupling had an overall positive impact, although with a strong case-by-case variation, on the trajectories and intensity of Vb-cyclones as a result of the variation in moisture source for each event. In general, all model configurations could replicate Vbcyclones, their trajectories, and associated precipitation fields. The average structure of the precipitation field was best represented in the coupled simulations. Coupling of the North- and Baltic Seas also showed an improvement in some of the simulated Vb-cyclones.
The atmosphere-ocean coupling showed an overall positive impact on the simulation of sea surface heat fluxes and Mediterranean cyclones (medicanes and Vb-cyclones). Moreover, the representation of sea surface heat fluxes, wind speed, and medicane features was more realistic when using a finer atmospheric grid resolution (less than 10 km). The present study suggests that the combination of a finer atmospheric grid resolution together with atmosphere-ocean coupling is advantageous in simulating the Mediterranean climate system.
Global impact models represent process-level understanding of how natural and human systems may be affected by climate change. Their projections are used in integrated assessments of climate change. Here we test, for the first time, systematically across many important systems, how well such impact models capture the impacts of extreme climate conditions. Using the 2003 European heat wave and drought as a historical analogue for comparable events in the future, we find that a majority of models underestimate the extremeness of impacts in important sectors such as agriculture, terrestrial ecosystems, and heat-related human mortality, while impacts on water resources and hydropower are overestimated in some river basins; and the spread across models is often large. This has important implications for economic assessments of climate change impacts that rely on these models. It also means that societal risks from future extreme events may be greater than previously thought.
In late 2013, a whole air flask collection program started at the Taunus Observatory (TO) in central Germany. Being a rural site in close vicinity to the densely populated Rhein-Main area, Taunus Observatory allows to assess local and regional emissions. Owed to its altitude of 825 m, the site also regularly experiences background conditions, especially when air masses approach from north-westerly directions. With a large footprint area mainly covering central Europe north of the Alps, halocarbon measurements at the site have the potential to improve the data base for estimation of regional and total European halogenated greenhouse gas emissions. Flask samples are collected weekly for offline analysis using a GC-MS system employing a quadrupole as well as a time-of-flight mass spectrometer. As background reference, additional samples are collected approximately bi-weekly at the Mace Head Atmospheric Research Station (MHD) when air masses approach from the site’s clean air sector. Thus the TO time series can be linked to the in-situ AGAGE measurements and the NOAA flask sampling program at MHD. An iterative baseline identification procedure separates polluted samples from baseline data. While there is good agreement of baseline mixing ratios between TO and MHD, with a larger variability of mixing ratios at the continental site, measurements at TO are regularly influenced by elevated halocarbon mixing ratios. Here, first time series are presented for CFC-11, CFC-12, HCFC-22, HFC-134a, HFC-227ea, HFC-245fa, and dichloromethane. While atmospheric mixing ratios of the CFCs decrease, they increase for the HCFC and the HFCs. Small unexpected differences between CFC-11 and CFC-12 are found with regard to the occurrence of high mixing ratio events and seasonality, although production and use of both compounds are strictly regulated by the Montreal Protocol, and therefore a similar decrease of atmospheric mixing ratios should occur. Dichloromethane, a solvent about which recently concerns have risen regarding its growing influence on stratospheric ozone depletion, does not show a significant trend with regard to both, baseline mixing ratios and the occurrence of pollution events at Taunus Observatory for the time period covered, indicating stable emissions in the regions that influence the site. An analysis of HYSPLIT trajectories reveals differences in halocarbon mixing ranges depending on air mass origin.
In late 2013, a whole air flask collection programme was started at Taunus Observatory (TO) in central Germany. Being a rural site in close proximity to the Rhine–Main area, Taunus Observatory allows assessment of emissions from a densely populated region. Owing to its altitude of 825 m, the site also regularly experiences background conditions, especially when air masses approach from north-westerly directions. With a large footprint area mainly covering central Europe north of the Alps, halocarbon measurements at the site have the potential to improve the database for estimation of regional and total European halogenated greenhouse gas emissions. Flask samples are collected weekly for offline analysis using a GC/MS system simultaneously employing a quadrupole as well as a time-of-flight mass spectrometer. As background reference, additional samples are collected approximately once every 2 weeks at the Mace Head Atmospheric Research Station (MHD) when air masses approach from the site's clean air sector. Thus the time series at TO can be linked to the in situ AGAGE measurements and the NOAA flask sampling programme at MHD. An iterative baseline identification procedure separates polluted samples from baseline data. While there is good agreement of baseline mixing ratios between TO and MHD, with a larger variability of mixing ratios at the continental site, measurements at TO are regularly influenced by elevated halocarbon mixing ratios. Here, first time series are presented for CFC-11, CFC-12, HCFC-22, HFC-134a, HFC-227ea, HFC-245fa, and dichloromethane. While atmospheric mixing ratios of the chlorofluorocarbons (CFCs) decrease, they increase for the hydrochlorofluorocarbons (HCFCs) and the hydrofluorocarbons (HFCs). Small unexpected differences between CFC-11 and CFC-12 are found with regard to frequency and relative enhancement of high mixing ratio events and seasonality, although production and use of both compounds are strictly regulated by the Montreal Protocol, and therefore a similar decrease in atmospheric mixing ratios should occur. Dichloromethane, a solvent about which recently concerns have been raised regarding its growing influence on stratospheric ozone depletion, does not show a significant trend with regard to both baseline mixing ratios and the occurrence of pollution events at Taunus Observatory for the time period covered, indicating stable emissions in the regions that influence the site. An analysis of trajectories from the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model reveals differences in halocarbon mixing ranges depending on air mass origin.
A new method for size resolved chemical analysis of nucleation mode aerosol particles (size range from ~10 to ~30 nm) is presented. The Thermal Desorption Differential Mobility Analyzer (TD-DMA) uses an online, discontinuous principle. The particles are charged, a specific size is selected by differential mobility analysis and they are collected on a filament by electrostatic precipitation. Subsequently, the sampled mass is evaporated in a clean carrier gas and analyzed by a chemical ionization mass spectrometer. Gas phase measurements are performed with the same mass spectrometer during the sampling of particles. The characterization shows reproducible results, with a particle size resolution of 1.19 and the transmission efficiency for 15 nm particles being slightly above 50 %. The signal from the evaporation of a test substance can be detected starting from 0.01 ng and shows a linear response in the mass spectrometer. Instrument operation in the range of pg/m3 is demonstrated by an example measurement of 15 nm particles produced by nucleation from dimethylamine, sulfuric acid and water.
A new method for size-resolved chemical analysis of nucleation mode aerosol particles (size range from ∼10 to ∼30 nm) is presented. The Thermal Desorption Differential Mobility Analyzer (TD-DMA) uses an online, discontinuous principle. The particles are charged, a specific size is selected by differential mobility analysis and they are collected on a filament by electrostatic precipitation. Subsequently, the sampled mass is evaporated in a clean carrier gas and analyzed by a chemical ionization mass spectrometer. Gas-phase measurements are performed with the same mass spectrometer during the sampling of particles. The characterization shows reproducible results, with a particle size resolution of 1.19 and the transmission efficiency for 15 nm particles being slightly above 50 %. The signal from the evaporation of a test substance can be detected starting from 0.01 ng and shows a linear response in the mass spectrometer. Instrument operation in the range of pg m−3 is demonstrated by an example measurement of 15 nm particles produced by nucleation from dimethylamine, sulfuric acid and water.
Increasing atmospheric CO2 stimulates photosynthesis which can increase net primary production (NPP), but at longer timescales may not necessarily increase plant biomass. Here we analyse the four decade-long CO2-enrichment experiments in woody ecosystems that measured total NPP and biomass. CO2 enrichment increased biomass increment by 1.05 ± 0.26 kg C m−2 over a full decade, a 29.1 ± 11.7% stimulation of biomass gain in these early-secondary-succession temperate ecosystems. This response is predictable by combining the CO2 response of NPP (0.16 ± 0.03 kg C m−2 y−1) and the CO2-independent, linear slope between biomass increment and cumulative NPP (0.55 ± 0.17). An ensemble of terrestrial ecosystem models fail to predict both terms correctly. Allocation to wood was a driver of across-site, and across-model, response variability and together with CO2-independence of biomass retention highlights the value of understanding drivers of wood allocation under ambient conditions to correctly interpret and predict CO2 responses.
Meteorologie
(2016)
Die Wetterkunde setzt sich aus vier Tätigkeitsfeldern zusammen: Datensammlung, Modellentwicklung, Prognostik und Wettersteuerung. Die Vorhersage zukünftiger Wetterereignisse stellt mithin nur eines von mehreren Aufgabengebieten dar. In ihrer Geschichte verlief die Entwicklung der vier Felder lange Zeit weitgehend separat. In den Agrar- und Seefahrergesellschaften der Antike führten Stadtverwaltungen und Tempel kalendarische Aufzeichnungen über alle Arten von Himmelsereignissen. Kosmologische Modelle wurden in der Naturphilosophie entworfen. Aristoteles unterschied dabei den Gegenstandbereich der 'Uranologie', die sich mit feststehenden Körpern wie Fixsternen und sich regelmäßig bewegenden Körpern wie Planeten beschäftigt, von dem der 'Meteorologie', die es mit singulären oder unregelmäßigen Ereignissen wie den Witterungserscheinungen zu tun hat. Für Prognosen in diesem Bereich stützte man sich auf Erfahrungswerte und ein Denken in Wenn-dann-Strukturen: Das Auftreten oder Ausbleiben von Himmelsphänomenen oder ihrer Kombination und das Verhalten von Pflanzen und Tieren zu bestimmten Tageszeiten wurde als Anzeichen für zukünftige Wetterereignisse gedeutet. Dieses Wissen bezog sich allein auf die alltägliche Nutzanwendung und war nicht an Erklärungen interessiert. In der Antike muss deshalb nicht die Meteorologie, sondern die Wetterprophetie als das wetterkundliche Zukunftswissen gelten. Die Mittel zur Beeinflussung des Wetters schließlich bestanden in Zaubern und Gebeten.1 An dieser Trennung der verschiedenen Tätigkeitsfelder der Wetterkunde änderte sich im Mittelalter und in der frühen Neuzeit kaum etwas.
Formation of new aerosol particles from trace gases is a major source of cloud condensation nuclei (CCN) in the global atmosphere, with potentially large effects on cloud optical properties and Earth’s radiative balance. Controlled laboratory experiments have resolved, in detail, the different nucleation pathways likely responsible for atmospheric new particle formation, yet very little is known from field studies about the molecular steps and compounds involved in different regions of the atmosphere. The scarcity of primary particle sources makes secondary aerosol formation particularly important in the Antarctic atmosphere. Here, we report on the observation of ion-induced nucleation of sulfuric acid and ammonia—a process experimentally investigated by the CERN CLOUD experiment—as a major source of secondary aerosol particles over coastal Antarctica. We further show that measured high sulfuric acid concentrations, exceeding 107 molecules cm−3, are sufficient to explain the observed new particle growth rates. Our findings show that ion-induced nucleation is the dominant particle formation mechanism, implying that galactic cosmic radiation plays a key role in new particle formation in the pristine Antarctic atmosphere.
During the Late Cretaceous and early Cenozoic the Earth experienced prolonged climatic cooling most likely caused by decreasing volcanic activity and atmospheric CO2 levels. However, the causes and mechanisms of subsequent major global warming culminating in the late Paleocene to Eocene greenhouse climate remain enigmatic. We present deep and intermediate water Nd-isotope records from the North and South Atlantic to decipher the control of the opening Atlantic Ocean on ocean circulation and its linkages to the evolution of global climate. The marked convergence of Nd-isotope signatures 59 million years ago indicates a major intensification of deep-water exchange between the North and South Atlantic, which coincided with the turning point of deep-water temperatures towards early Paleogene warming. We propose that this intensification of Atlantic overturning circulation in concert with increased atmospheric CO2 from continental rifting marked a climatic tipping point contributing to a more efficient distribution of heat over the planet.
Die Abstrahlung von internen Schwerewellen in atmosphärischen Strahlströmen und Temperaturfronten trägt vermutlich mit einem signifikanten Beitrag zum gesamten Schwerewellenspektrum bei. Das physikalische Verständnis der dabei ablaufenden Prozesse ist derzeit allerdings noch zu gering ausgeprägt, um eine adäquate mathematische Darstellung für operationelle Wetter- und Klimamodelle zu entwickeln. In dieser Arbeit wird der Mechanismus dieser Schwerewellenquelle in numerischen Simulationen des differenziell geheizten rotierenden Annulusexperiments erforscht. Dieses Experiment besitzt eine im Vergleich zur Atmosphäre deutlich verringerte Anzahl an Freiheitsgraden und eignet sich besonders gut zum Studium der Dynamik der mittleren Breiten. Analoge Untersuchungen werden in einem äquivalenten kartesischen Modellsystem vorgenommen, in dem periodische Bedingungen in den beiden horizontalen Raumrichtungen vorliegen.
Im Gegensatz zur Annuluskonfiguration, in der nachweislich auch eine Schwerwellenabstrahlung an den Zylinderwänden erfolgt, kommt in dieser Konfiguration nur die interne Dynamik als Schwerewellenquelle in Frage. Die nichtlinearen Simulationen beider Modellkonfigurationen zeigen eine großskalige barokline Wellenstruktur, die ein atmosphärenähnliches Jet-Front System beinhaltet. Darin eingelagert werden vier voneinander isolierte Schwerewellenpakete in der Annuluskonfiguration sowie zwei Schwerewellenpakete im doppeltperiodischen Modellsystem charakterisiert. Um den zugrundeliegenden Quellmechanismus zu untersuchen, erfolgt eine Aufspaltung der Zustandsvariablen in einen balancierten und einen unbalancierten Anteil, wobei erstgenannter das geostrophische und hydrostatische Gleichgewicht erfüllt und letztgenannter das Schwerewellensignal enthält. Die Strömungsaufspaltung bildet die Grundlage für die Entwicklung eines tangential-linearen Modells für den unbalancierten Strömungsanteil. Hierbei wird eine systematische Umformulierung der dynamischen Grundgleichungen hinsichtlich der Wechselwirkung beider Strömungsanteile vollzogen. Insbesondere wird der rein balancierte Antrieb der unbalancierten Strömung freigelegt, um dessen Einfluss auf die Schwerewellenaktivität zu quantifizieren. Die anschließenden tangential-linearen Simulationen zeigen, dass drei der vier Schwerewellenpakete in der Annuluskonfiguration in der internen Strömung generiert werden. Ein verbleibendes Wellenpaket entsteht an der inneren Zylinderwand, ehe es in das innere Modellvolumen propagiert. Darüber hinaus wird deutlich, dass der rein balancierte interne Antrieb der Schwerewellen einen signifikanten Beitrag zur Schwerewellengenerierung leistet. Im doppeltperiodischen Modellsystem gibt es eine nahezu perfekte Übereinstimmung zwischen den unbalancierten Strömungsmustern in den tangential-linearen und den nichtlinearen Simulationen. Auch dort nimmt der balancierte Antrieb eine zentrale Rolle bei der Schwerewellenabstrahlung ein. Die abschließende Gegenüberstellung verschiedener, voneinander unabhängiger Gleichgewichtskonzepte macht deutlich, dass die balancierte Strömung der führenden Ordnung in der Rossbyzahl bereits eine erstaunliche Übereinstimmung mit der vollen Strömung liefert. Zudem erbringt die Anwendung einer Lagrange'schen Filtermethode den Nachweis, dass die Vertikalbewegungen und die horizontalen Divergenzsignale in der Annuluskonfiguration fast ausschließlich auf die Schwerewellenaktivität zurückzuführen sind.
The multi-valence nature of vanadium means that its geochemical behaviour will be ƒO2-dependent, so that its concentration or V/Sc (or V/Ga), can serve as proxies for oxidation state in mantle peridotites. Compared to Fe3+/Fe2+-based equilibria, such trace elements may be less sensitive to metasomatic processes. To investigate these systematics, we have measured V, Sc, Ga and Fe3+ contents in clinopyroxene from well-characterised spinel peridotite xenoliths from the Massif Central, France. These samples were metasomatised by a variety of agents with different oxidation states.V contents can be modified by metasomatic interactions, and other geochemically similar elements including Sc and Ga can also be added, removed or remain constant. A link between V/Sc and Fe3+-Fe2+ equilibria is apparent. Partial removal of V is caused by different metasomatic agents; the common factor is that all agents were significantly more oxidised than the initial ambient mantle peridotite. This extraction can be understood by a decreasing partition coefficient for V for ΔlogƒO2 > ~FMQ-2. Considering that mineral/melt partitioning of V decreases similarly for all peridotite minerals, the bulk-rock V/Sc will also change during relatively oxidising metasomatic interactions and mirror the results obtained for clinopyroxene.
Nucleation and growth of aerosol particles from atmospheric vapors constitutes a major source of global cloud condensation nuclei (CCN). The fraction of newly formed particles that reaches CCN sizes is highly sensitive to particle growth rates, especially for particle sizes <10 nm, where coagulation losses to larger aerosol particles are greatest. Recent results show that some oxidation products from biogenic volatile organic compounds are major contributors to particle formation and initial growth. However, whether oxidized organics contribute to particle growth over the broad span of tropospheric temperatures remains an open question, and quantitative mass balance for organic growth has yet to be demonstrated at any temperature. Here, in experiments performed under atmospheric conditions in the Cosmics Leaving Outdoor Droplets (CLOUD) chamber at the European Organization for Nuclear Research (CERN), we show that rapid growth of organic particles occurs over the range from −25 ∘C to 25 ∘C. The lower extent of autoxidation at reduced temperatures is compensated by the decreased volatility of all oxidized molecules. This is confirmed by particle-phase composition measurements, showing enhanced uptake of relatively less oxygenated products at cold temperatures. We can reproduce the measured growth rates using an aerosol growth model based entirely on the experimentally measured gas-phase spectra of oxidized organic molecules obtained from two complementary mass spectrometers. We show that the growth rates are sensitive to particle curvature, explaining widespread atmospheric observations that particle growth rates increase in the single-digit-nanometer size range. Our results demonstrate that organic vapors can contribute to particle growth over a wide range of tropospheric temperatures from molecular cluster sizes onward.
Subduction zone magmas are more oxidised on eruption than those at mid-ocean ridges. This is attributed either to oxidising components, derived from subducted lithosphere (slab) and added to the mantle wedge, or to oxidation processes occurring during magma ascent via differentiation. Here we provide direct evidence for contributions of oxidising slab agents to melts trapped in the sub-arc mantle. Measurements of sulfur (S) valence state in sub-arc mantle peridotites identify sulfate, both as crystalline anhydrite (CaSO4) and dissolved SO42− in spinel-hosted glass (formerly melt) inclusions. Copper-rich sulfide precipitates in the inclusions and increased Fe3+/∑Fe in spinel record a S6+–Fe2+ redox coupling during melt percolation through the sub-arc mantle. Sulfate-rich glass inclusions exhibit high U/Th, Pb/Ce, Sr/Nd and δ34S (+ 7 to + 11‰), indicating the involvement of dehydration products of serpentinised slab rocks in their parental melt sources. These observations provide a link between liberated slab components and oxidised arc magmas.
Dating of extensive alluvial fan surfaces and fluvial features in the hyperarid core of the Atacama Desert, Chile, using cosmogenic nuclides provides unrivalled insights about the onset and variability of aridity. The predominantly hyperarid conditions help to preserve the traces of episodic climatic and/or slow tectonic change. Utilizing single clast exposure dating with cosmogenic 10Be and 21Ne, we determine the termination of episodes of enhanced fluvial erosion and deposition occurring at ~19, ~14, ~9.5 Ma; large scale fluvial modification of the landscape had ceased by ~2–3 Ma. The presence of clasts that record pre-Miocene exposure ages (~28 Ma and ~34 Ma) require stagnant landscape development during the Oligocene. Our data implies an early onset of (hyper-) aridity in the core region of the Atacama Desert, interrupted by wetter but probably still arid periods. The apparent conflict with interpretation that favour a later onset of (hyper-) aridity can be reconciled when the climatic gradients within the Atacama Desert are considered.
The mechanisms of transfer of crustal material from the subducting slab to the overlying mantle wedge are still debated. Mélange rocks, formed by mixing of sediments, oceanic crust, and ultramafics along the slab-mantle interface, are predicted to ascend as diapirs from the slab-top and transfer their compositional signatures to the source region of arc magmas. However, the compositions of melts that result from the interaction of mélanges with a peridotite wedge remain unknown. Here we present experimental evidence that melting of peridotite hybridized by mélanges produces melts that carry the major and trace element abundances observed in natural arc magmas. We propose that differences in nature and relative contributions of mélanges hybridizing the mantle produce a range of primary arc magmas, from tholeiitic to calc-alkaline. Thus, assimilation of mélanges into the wedge may play a key role in transferring subduction signatures from the slab to the source of arc magmas.
Mistral and Tramontane are wind systems in southern France and the western Mediterranean Sea. Both are caused by similar synoptic situations and channeled in valleys. Their relevance for the climate of the western Mediterranean region motivated this work. The representation of Mistral and Tramontane in regional climate simulations was surveyed with the models ALADIN, WRF, PROMES, COSMO-CLM, RegCM, and LMDZ. ERA-Interim and global CMIP5 simulations (MPI-ESM, CMCC-CM, HadGEM2-ES, and CNRM-CM5) provided the lateral boundary data for the regional simulations regarding the 20th century and two representative concentration pathways for the 21st century (RCP4.5 and RCP8.5).
A Mistral and Tramontane time series, a principal component analysis of pressure fields, and a Bayesian network were combined to develop a classification algorithm to identify pressure patterns in favor of Mistral and Tramontane. The regional climate models were able to reproduce the observed climatology of Mistral and Tramontane. Compared to observational data (SAFRAN and QuikSCAT), the simulations underestimate the wind speed over the Mediterranean Sea, mainly at the borders of the main flow. Simulations with smaller grid spacing showed better agreement with the observations.
A sensitivity study tested the influence of the Charnock parameter on the Mistral wind field. Its value impacted both wind speed and wind direction. Decreasing the orographic resolution in idealized simulations using COSMO-CLM caused a reduction in wind speed and a broader flow area. Including a parameterization for subgrid scale orography improved the simulation. However, an accurate simulation of Mistral and Tramontane still requires a high-resolution orography.
The classification algorithm also was applied to pressure fields from regional climate simulations driven by global simulation data. At the end of the 21st century, only small, non-significant changes in the number of Mistral days per year occur in the projection simulations. The number of Tramontane days per year decreased significantly.
Kontinuierlich hohe Stickstofffrachten der Elbe und weiterer Nordseezuflüsse haben die Internationale Nordseeschutzkonferenz (INK) Ende der 80er Jahre dazu veranlasst, eine 50%ige Reduzierung der N-Einträge in die Nordsee innerhalb von 10 Jahren zu beschließen. Diese Reduzierung wurde in diesem Zeitraum nicht erreicht. Für Oberflächengewässer wurde im Jahr 2001 zur Umsetzung der EU-Wasserrahmenrichtlinie in Bundesdeutsches Recht von der Länderarbeitsgemeinschaft Wasser (LAWA) in Zusammenarbeit mit dem Umweltbundesamt (UBA 2001d) eine Güteklassifikation für Nährstoffe erstellt, die einen Wert von 3 mg/l N für Oberflächengewässer festgelegt. Am Beispiel der mittleren Mulde, die kontinuierlich hohe Stickstoffkonzentrationen von durchschnittlich 6 mg N /l aufweist, wird deutlich, dass eine Reduzierung der N-Einträge zur Erzielung der geforderten Gewässergüte unabdingbar ist. Sowohl für die Meere als auch für die Oberflächengewässer ist eine Halbierung der N-Einträge eine umweltpolitische Notwendigkeit. Im Rahmen des Projektes „Gebietswasserhaushalt und Stoffhaushalt in der Lößregion des Elbegebietes als Grundlage für die Durchsetzung einer nachhaltigen Landnutzung“ wurden deshalb die Wasser- und Stickstoffflüsse im Einzugsgebiet der mittleren Mulde (2700 km²) flächendifferenziert erfasst, um die N-Eintragpfade zu quantifizieren und Maßnahmen zur Minderung der N-Frachten abzuleiten. ...
The African continent is regularly portrayed as an indolent space with a well-known reputation as a chaotic continent. Viewed as lacking vision, means and capacities, Africa is perceived at best as a place that is marked by a permanent status quo, stagnation, or in worst case scenarios, as a declining continent. Various references to the continent are synonymous with famine, poverty, war, etc. Such portrayals are all the more intriguing given that the continent is known for its abundant natural resources, such as timber, oil, natural gas, minerals, etc., whose reserves are, moreover, not well known both by the African people and their leaders. As a result, there is still much progress to be made in tapping into the resources in order to improve the daily lives of African citizens.
In such a context dominated by infantile carelessness throughout the continent, the interventions of actors from outside the continent are the only hopes of bringing some vitality to this continent which is cloaked in "la grande nuit – the great darkness" (Mbembé 2013). Thus during the main sequences of recent history, representing different forms of Western penetration and activity on the African continent (slavery, imperialism, colonization), all the Western world’s contributions have obviously not sufficed to boost Africa and take it out of its never ending childhood. It has remained just as passive and apathetic today as it was yesterday.
The attraction of Asian actors to the continent is even more recent. And consistent with its abovementioned indolence, Africa is seen as an easy and defenceless prey for the Korean, Japanese, Indian, Malaysian, or Chinese conquerors. In the latter case, the insatiable appetite for natural resources whose reserves are being rapidly depleted is the cornerstone of their foreign aid policy. This led China to colonize the continent, showing a preference for Pariah Regimes which held no appeal for the West, by sending an army of workers to extract those resources (Lum et al. 2009), in defiance of all national and international regulations and based on completely opaque contracts.
Although the concept of African Agency was rapidly developed in several African countries, the aim of this study was more specific to Cameroon’s mining sector in which different entrepreneurs from abroad got involved over time. The thesis investigates whether indigenous citizens took part in any way in the development of mining projects in the country. Thus, the work assesses and analyses actions and reactions initiated and undertaken by local people in the context of China’s presence within Cameroon’s mining sector to promote and advance their interests over those of foreign investors. In addition, the author has no knowledge of any other study investigating African Agency in the mining sector as a whole in Cameroon.
In conducting this study, a multi-method research framework was developed including a series of methods used to collect data and analyse concepts of African Agency associated Political Ecology as they developed within Cameroon’s mining sector. Specifically, those methods comprised quantitative research when it came to collecting data using a positivist and empirical approach constructed by deducing evidence from statistical data collected by means of the 167 questionnaire surveys administered to local inhabitants and workers randomly selected on mining sites and in riparian communities. The questionnaires helped to capture Cameroonians' perceptions of the recent phenomenon of the gradual but significant influx of international actors and precisely Chinese players in the mining sector on the one hand, and on the other hand, observational data was collected across the GVC as developed in the Betare-Oya region. As a complement to the former technique, qualitative methods helped to study and deepen understanding of human behaviour and the social world in a holistic perspective through individual interviews, focus groups, and direct observations on the ground. In addition, the spatial analysis method based on the land use classification technique served to detect changes to land use/land cover that have been brought on by mechanised mining activities undertaken in this region. The sequencing of data collected and their processing from a ground theory perspective led to the formulation and specification of Cameroon’s Ecological Agency theory.
One of the earliest steps of this work consisted in a literature review and in placing the African Agency concept in a broader context. It then led to the state of the art, specifications about research content of the work and the main theories undergirding this thesis. Before examining developments that emerged during the last decade, a historical perspective was provided to the topic in order to show how African societies started mining operations and how they dealt with foreign partners interested in their mining resources. The aim was to show that while Western imperialism presented a challenge for the sector, it did not erase local participation, even despite the constraints associated with such involvement.
...
During the Holocene, North American ice sheet collapse and rapid sea-level rise reconnected the Black Sea with the global ocean. Rapid meltwater releases into the North Atlantic and associated climate change arguably slowed the pace of Neolithisation across southeastern Europe, originally hypothesized as a catastrophic flooding that fueled culturally-widespread deluge myths. However, we currently lack an independent record linking the timing of meltwater events, sea-level rise and environmental change with the timing of Neolithisation in southeastern Europe. Here, we present a sea surface salinity record from the Northern Aegean Sea indicative of two meltwater events at ~8.4 and ~7.6 kiloyears that can be directly linked to rapid declines in the establishment of Neolithic sites in southeast Europe. The meltwater events point to an increased outflow of low salinity water from the Black Sea driven by rapid sea level rise >1.4 m following freshwater outbursts from Lake Agassiz and the final decay of the Laurentide ice sheet. Our results shed new light on the link between catastrophic sea-level rise and the Neolithisation of southeastern Europe, and present a historical example of how coastal populations could have been impacted by future rapid sea-level rise.
A recent CLOUD (Cosmics Leaving OUtdoor Droplets) chamber study showed that sulfuric acid and dimethylamine produce new aerosols very efficiently, and yield particle formation rates that are compatible with boundary layer observations. These previously published new particle formation (NPF) rates are re-analyzed in the present study with an advanced method. The results show that the NPF rates at 1.7 nm are more than a factor of 10 faster than previously published due to earlier approximations in correcting particle measurements made at larger detection threshold. The revised NPF rates agree almost perfectly with calculated rates from a kinetic aerosol model at different sizes (1.7 nm and 4.3 nm mobility diameter). In addition, modeled and measured size distributions show good agreement over a wide range (up to ca. 30 nm). Furthermore, the aerosol model is modified such that evaporation rates for some clusters can be taken into account; these evaporation rates were previously published from a flow tube study. Using this model, the findings from the present study and the flow tube experiment can be brought into good agreement. This confirms that nucleation proceeds at rates that are compatible with collision-controlled (a.k.a. kinetically-controlled) new particle formation for the conditions during the CLOUD7 experiment (278 K, 38% RH, sulfuric acid concentration between 1×106 and 3×107 cm-3 and dimethylamine mixing ratio of ~40 pptv). Finally, the simulation of atmospheric new particle formation reveals that even tiny mixing ratios of dimethylamine (0.1 pptv) yield NPF rates that could explain significant boundary layer particle formation. This highlights the need for improved speciation and quantification techniques for atmospheric gas-phase amine measurements.
A recent CLOUD (Cosmics Leaving OUtdoor Droplets) chamber study showed that sulfuric acid and dimethylamine produce new aerosols very efficiently and yield particle formation rates that are compatible with boundary layer observations. These previously published new particle formation (NPF) rates are reanalyzed in the present study with an advanced method. The results show that the NPF rates at 1.7 nm are more than a factor of 10 faster than previously published due to earlier approximations in correcting particle measurements made at a larger detection threshold. The revised NPF rates agree almost perfectly with calculated rates from a kinetic aerosol model at different sizes (1.7 and 4.3 nm mobility diameter). In addition, modeled and measured size distributions show good agreement over a wide range of sizes (up to ca. 30 nm). Furthermore, the aerosol model is modified such that evaporation rates for some clusters can be taken into account; these evaporation rates were previously published from a flow tube study. Using this model, the findings from the present study and the flow tube experiment can be brought into good agreement for the high base-to-acid ratios (∼ 100) relevant for this study. This confirms that nucleation proceeds at rates that are compatible with collision-controlled (a.k.a. kinetically controlled) NPF for the conditions during the CLOUD7 experiment (278 K, 38 % relative humidity, sulfuric acid concentration between 1 × 106 and 3 × 107 cm−3, and dimethylamine mixing ratio of ∼ 40 pptv, i.e., 1 × 109 cm−3).
Chlorine and bromine atoms can lead to catalytic destruction of ozone in the stratosphere. Therefore the use and production of ozone depleting substances (ODS) containing chlorine and bromine is regulated by the Montreal Protocol to protect the ozone layer. Equivalent Effective Stratospheric Chlorine (EESC) has been adapted as an appropriate metric to describe the combined effects of chlorine and bromine released from halocarbons on stratospheric ozone. Here we revisit the concept of calculating EESC. We derive a new formulation of EESC based on an advanced concept of ODS propagation into the stratosphere and reactive halogen release. A new transit time distribution is introduced in which the age spectrum for an inert tracer is weighted with the release function for inorganic halogen from the source gases. This distribution is termed the “release time distribution”. The improved formulation shows that EESC levels in the year 1980 for the mid latitude lower stratosphere were significantly lower than previously calculated. 1980 marks the year commonly defined as the onset of anthropogenic ozone depletion in the stratosphere. Assuming that the EESC value must return to the same level in order for ozone to fully recover, we show that it will take more than 10 years longer than currently assumed in this region of the stratosphere. Based on the improved formulation, EESC level at mid-latitudes will reach this landmark only in 2060. We also present a range of sensitivity studies to investigate the effect of changes and uncertainties in the fractional release factors and in the assumptions on the shape of the release time distributions. We conclude that, under the assumptions that all other atmospheric parameters like stratospheric dynamics and chemistry are unchanged, the recovery of mid latitude stratospheric ozone would be expected to be delayed by about a 10 years, in a similar way as EESC.
Chlorine and bromine atoms lead to catalytic depletion of ozone in the stratosphere. Therefore the use and production of ozone-depleting substances (ODSs) containing chlorine and bromine is regulated by the Montreal Protocol to protect the ozone layer. Equivalent effective stratospheric chlorine (EESC) has been adopted as an appropriate metric to describe the combined effects of chlorine and bromine released from halocarbons on stratospheric ozone. Here we revisit the concept of calculating EESC. We derive a refined formulation of EESC based on an advanced concept of ODS propagation into the stratosphere and reactive halogen release. A new transit time distribution is introduced in which the age spectrum for an inert tracer is weighted with the release function for inorganic halogen from the source gases. This distribution is termed the release time distribution. We show that a much better agreement with inorganic halogen loading from the chemistry transport model TOMCAT is achieved compared with using the current formulation. The refined formulation shows EESC levels in the year 1980 for the mid-latitude lower stratosphere, which are significantly lower than previously calculated. The year 1980 is commonly used as a benchmark to which EESC must return in order to reach significant progress towards halogen and ozone recovery. Assuming that – under otherwise unchanged conditions – the EESC value must return to the same level in order for ozone to fully recover, we show that it will take more than 10 years longer than estimated in this region of the stratosphere with the current method for calculation of EESC. We also present a range of sensitivity studies to investigate the effect of changes and uncertainties in the fractional release factors and in the assumptions on the shape of the release time distributions. We further discuss the value of EESC as a proxy for future evolution of inorganic halogen loading under changing atmospheric dynamics using simulations from the EMAC model. We show that while the expected changes in stratospheric transport lead to significant differences between EESC and modelled inorganic halogen loading at constant mean age, EESC is a reasonable proxy for modelled inorganic halogen on a constant pressure level.
Convection-permitting models (CPMs) have proven their usefulness in representing precipitation on a sub-daily scale. However, investigations on sub-hourly scales are still lacking, even though these are the scales for which showers exhibit the most variability. A Lagrangian approach is implemented here to evaluate the representation of showers in a CPM, using the limited-area climate model COSMO-CLM. This approach consists of tracking 5‑min precipitation fields to retrieve different features of showers (e.g., temporal pattern, horizontal speed, lifetime). In total, 312 cases are simulated at a resolution of 0.01 ° over Central Germany, and among these cases, 78 are evaluated against a radar dataset. The model is able to represent most observed features for different types of convective cells. In addition, the CPM reproduced well the observed relationship between the precipitation characteristics and temperature indicating that the COSMO-CLM model is sophisticated enough to represent the climatological features of showers.
Chlorine monoxide (ClO) plays a key role in stratospheric ozone loss processes at midlatitudes. We present two balloon-borne in situ measurements of ClO conducted in northern hemisphere midlatitudes during the period of the maximum of total inorganic chlorine loading in the atmosphere. Both ClO measurements were conducted on board the TRIPLE balloon payload, launched in November 1996 in León, Spain, and in May 1999 in Aire sur l'Adour, France. For both flights a ClO daylight and night-time vertical profile was derived over an altitude range of approximately 15-35 km. ClO mixing ratios are compared to model simulations performed with the photochemical box model version of the Chemical Lagrangian Model of the Stratosphere (CLaMS). Simulations along 24-hour backward trajectories were performed to study the diurnal variation of ClO in the midlatitude lower stratosphere. Model simulations for the flight launched in Aire sur l'Adour 1999 show an excellent agreement with the ClO measurements. For the flight launched in León 1996, an overall good agreement is found, whereas the flight is characterized by a more complex dynamical situation due to a possible mixture of vortex and non-vortex air. We note that for both flights at solar zenith angles greater than 86°-87° simulated ClO mixing ratios are higher than observed ClO mixing ratios. However, the present findings indicate that no substantial uncertainties exist in midlatitude chlorine chemistry of the stratosphere.
Fractional release factors of long-lived halogenated organic compounds in the tropical stratosphere
(2009)
Fractional release factors (FRFs) of organic trace gases are time-independent quantities that influence the calculation of Global Warming Potentials and Ozone Depletion Potentials. We present the first set of vertically resolved FRFs for 15 long-lived halo carbons in the tropical stratosphere up to 34 km altitude. They were calculated from measurements on air samples collected on board balloons and a high altitude aircraft. We compare the derived dependencies of FRFs on the mean stratospheric transit times (the so-called mean ages of air) with similarly derived FRFs originating from measurements at higher latitudes and find significant differences. Moreover a comparison with averaged FRFs currently used by the World Meteorological Organisation revealed the latter to be imprecise measures due to their observed vertical and latitudinal variability. The presented data set could thus be used to improve future ozone level and climate projections.
Brachiopod shells are the most widely used geological archive for the reconstruction of the temperature and the oxygen isotope composition of Phanerozoic seawater. However, it is not conclusive whether brachiopods precipitate their shells in thermodynamic equilibrium. In this study, we investigated the potential impact of kinetic controls on the isotope composition of modern brachiopods by measuring the oxygen and clumped isotope compositions of their shells. Our results show that clumped and oxygen isotope compositions depart from thermodynamic equilibrium due to growth rate-induced kinetic effects. These departures are in line with incomplete hydration and hydroxylation of dissolved CO2. These findings imply that the determination of taxon-specific growth rates alongside clumped and bulk oxygen isotope analyses is essential to ensure accurate estimates of past ocean temperatures and seawater oxygen isotope compositions from brachiopods.
Despite mounting evidence of the anthropogenic influence on the Earth's climate, underlying mechanisms of climate change often remain elusive. The investigation of periods of rapid climate change from geological archives may provide crucial information about magnitude, duration, teleconnections of and regional responses to global and hemispheric scale climate perturbations. Thus, paleoclimate reconstructions may help in mitigating and adapting to the challenges of the coming decades. The '8.2 kyr B.P. climatic event' has previously been proposed as a possible analogue for the future climatic scenario of a reduced Atlantic Meridional Overturning Circulation (AMOC). The catastrophic drainage of the Laurentide meltwater lakes through the Hudson Bay and into the Labrador Sea, that occurred ca. 8.47 kyr B.P., caused the slowdown of the AMOC around 8.2 kyr B.P.. Subsequently, reduced heat transfer towards Europe triggered a substantial decline in (winter) temperature and pronounced changes in atmospheric circulation patterns in many regions of the northern hemisphere, especially the North Atlantic realm and Europe. Among the regions affected by the 8.2 kyr B.P. climatic event, the Eastern Mediterranean region is of particular interest for both past and future climate developments. Traditionally characterized as a region highly sensitive to variations in the climate systems of the high and low latitudes, abrupt climate changes have the potential to strongly alter atmospheric circulation patterns and thus precipitation distribution in the region that may have severe socioeconomical consequences. The analysis of stable hydrogen (δD) and oxygen isotopes (δ18O) in precipitation is an excellent tool to trace changes in atmospheric circulation. Here, we present a comparative study of δD and δ18O in precipitation from the Eastern Mediterranean region both in a present day scenario and during the 8.2 kyr B.P. climatic event. We analyze the influences of topography, air mass trajectory, climate and seasonality among others the stable isotopic compositions of meteoric waters from the Central Anatolian Plateau (CAP), Turkey, in order to create a first-order template which may serve as a reference against which paleoenvironmental proxy data may be more accurately interpreted and tested. Further, we employ a multiproxy approach on the early Holocene peat deposits of the classical site of Tenaghi Philippon (TP), NE Greece, to investigate paleoenvironmental responses to northern hemisphere cooling during the 8.2 kyr B.P. climatic event and aim to determine changes atmospheric circulation from δD of leaf wax n-alkanes (δDwax).
Based on δD and δ18O data from more than 480 surface water samples from the CAP, we characterize moisture sources affecting the net isotopic budget of precipitation, manifesting in a systematic north-south difference in near-sea level moisture compositions. Rainout, induced by the major orographic barriers of the plateau, the Pontic Mountains to the north and the Taurus Mountains to the south, strongly shape the modern patterns of δD and δ18O. Stable isotope data from the semi-arid plateau interior provide clear evidence for an evaporitic regime that drastically affects surface water compositions. Strong evaporative enrichment contrasts rainfall patterns along the plateau margins, in part obfuscating the effects of topography and air mass trajectory.
Consequently, in order to address possible influences of evaporation on δD and δ18O in paleoprecipitation from TP, we analyze n-alkane abundances and distributions along with stable carbon isotope compositions of total organic carbon (δ13CTOC) and palynological data to estimate surface moisture conditions during the early Holocene (ca. 8.7 - 7.5 kyr B.P.) and especially during the 8.2 kyr B.P. climatic event. A period of relatively dry surface conditions from ca. 8.7 to 8.2 kyr B.P., indicated by low values of the 'aquatic index' (Paq ) and by elevated Average Chain Length (ACL) values, in concert with elevated δ13CTOC values, precedes the 8.2 kyr B.P. climatic event. The event itself is characterized by slightly wetter, more humid conditions, as suggested by an increase in Paq values as well as reduced ACL and δ13CTOC values between ca. 8.2 and 7.9 kyr B.P.. In the upper section of the core, a distinct change in paleohydrology becomes. A steep increase in Paq and a decrease in ACL values as well as variations in δ13CTOC from 7.9 kyr B.P. onwards imply considerably elevated surface moisture levels, likely caused by the increased activity of the karstic system of the surrounding mountains. Collectively, the biomarker proxies presented here, reveal a concise picture of changing moisture conditions at TP that is consistent with palynological data and provide detailed paleoenvironmental information for the analysis of δDwax as a paleoprecipitation proxy. The long-term decline in δDwax values characterizes the lower section of the core until ca. 8.2 kyr B.P.. The 8.2 kyr B.P. climatic event itself is connected to two distinct positive hydrogen isotope excursions: a minor shift in δDwax around 8.2 kyr B.P. and a major shift in δDwax between ca. 8.1 and 8.0 kyr B.P.. The upper part of the section shows a progressive trend towards higher δDwax values. With no indication of increased evaporitic conditions at TP during the 8.2 kyr B.P. climatic event, as evident in biomarker proxies and pollen data, we link shifts in δDwax to changes in Mediterranean air mass trajectories supplying precipitation to northeastern Greece, with variations in the relative contributions of northerly derived, D-depleted moisture and southerly-derived, D-enriched moisture. Possible control mechanisms include changes in the influence of the Siberian High and differences in the influence of the African and Asian monsoon circulations on anticyclonic conditions in the Mediterranean region as well as regional inflow of moist air from the Aegean Sea.
We generated transgenic tomato plants with altered expression of heat stress transcription factor HsfA1. Plants with 10-fold overexpression of HsfA1 (OE plants) were characterized by a singleHsfA1 transgene cassette, whereas plants harboring a tandem inverted repeat of the cassette showed cosuppression (CS plants) by posttranscriptional silencing of the HsfA1 gene connected with formation of small interfering RNAs. Under normal growth conditions, major developmental parameters were similar for wild-type (WT), OE, and CS plants. However, CS plants and fruits were extremely sensitive to elevated temperatures, because heat stress-induced synthesis of chaperones and Hsfs was strongly reduced or lacking. Despite the complexity of the plant Hsf family with at least 17 members in tomato, HsfA1 has a unique function as master regulator for induced thermotolerance. Using transient reporter assays with mesophyll protoplasts from WT tomato, we demonstrated that plasmid-encoded HsfA1 and HsfA2 were well expressed. However, in CS protoplasts the cosuppression phenomenon was faithfully reproduced. Only transformation with HsfA2 expression plasmid led to normal expression of the transcription factor and reporter gene activation, whereas even high amounts of HsfA1 expression plasmids were silenced. Thermotolerance in CS protoplasts was restored by plasmid-borne HsfA2, resulting in expression of chaperones, thermoprotection of firefly luciferase, and assembly of heat stress granules.
The East African Rift System (EARS) was initiated in the Eocene epoch between 50 and 21 Ma probably due to the influence of mantle plumes that caused volcanism, flood basalts and rifting extensions in Ethiopa and the Afar region. As a result of magmatic intrusions and adiabatic decompression melting within the lithosphere caused by the impact of the Kenya plume, there was a southward propagation of the EARS of about 30 – 15 Ma from Ethiopia to Kenya, which coincide with the occurrence of volcanism. The EARS developed towards the south along the margins of the Tanzania Craton between 15 and 8 Ma. Previous findings of low-velocity anomalies within the upper mantle and the mantle transition zone indicate an upwelling of hot mantle material in the vicinity of the Afar region and the East African Rift. This study includes the analysis of P- and S-receiver functions in order to determine further impacts on the lithosphere from below. The aim was to determine the topographic undulations of further boundary layers and to identify their variability owing to the rifting processes and the formation of the EARS. The study area included the Tanzania Craton and the surrounding rift branches of the East African Rift System.
The region of the Rwenzori Mountains can be analysed in detail because of the large dataset of the RiftLink project. The use of the P-receiver function technique and the H-K stacking method enabled to determine different vP /vS ratios depending on the tectonic setting in the Rwenzori region: Rift shoulders (vP /vS =1.74), Albert Rift segment (vP /vS =1.80), Edward Rift segment (vP /vS =1.87) and Rwenzori Mountains (vP /vS =1.86). To determine the topography of the Moho, it is necessary to take into account the thickness of the sedimentary layer, the surface topography, the azimuthal variations in crustal thickness and the impact of local anomalies. After correcting these effects on the Moho depths, significant variations in Moho topography could be determined. The Moho depths range from 29 to 39 km beneath the rift shoulders of the Albertine Rift. Within the rift valley, the crustal thickness varies between 25 – 31 km in the Edward Rift segment and 22 – 30 km in the Albert Rift segment. An averaged crustal thickness of about 26 km within the rift valley indicates the lack of the crustal root beneath the Rwenzoris. Similar variations in crustal thickness were determined by using an automatic procedure for analysing S-receiver functions that was developed in this study.
The S-receiver functions are created by applying a rotation criterion in order to rotate the Z, N and E components into the L, Q and T components. It is necessary to perform trial rotations using different incident and azimuth angles to determine the correct rotation angles. The latter are identified by the use of the rotation criterion, including the amplitude ratio of the converted Moho signal to the direct S/SKS-wave signal. The L component is rotated correctly in the direction of the incident shear wave in the case of the maximum amplitude ratio. After analysing the frequency content of the receiver functions in order to sort out harmonic and long-periodic traces, the individual Moho signals are checked for consistency in order to remove atypic signals. To increase the signal-to-noise ratios on the traces, the S-receiver functions are stacked. For this purpose, the signals of the direct shear waves must originate from similar epicenters. On the basis of similar ray paths, the receiver functions show comparable waveforms and converted signals. To perform the stacking procedure, it is necessary to merge the datasets of the adjacent stations in order to obtain a sufficient number of receiver functions. This analysis is based on the assumption that the incident seismic waves arriving at the adjacent stations penetrate to some extent the same underground structures in the case of similar wave propagation paths. This approach accounts for the fact that the converted signals do not result exclusively from the piercing points at the boundary layers. Further signals originate from the conversions at the boundary layer within the Fresnel Zone. The piercing points are derived from the significant signals in the receiver functions. Depending on the order of arrival of the converted phases on the traces, the signals are attributed to the theoretical discontinuities DIS1, DIS2, DIS3 and DIS4. However, partly due to the low signal-to-noise ratios on the traces, it is difficult to identify the real conversions on the traces and to ensure that the converted signals are attributed to the correct boundary layers. For this reason, it is necessary to check the consistency of the conversion depths among each other. In the case of inconsistent conversion depths, the corresponding signals are either adjusted to another seismic boundary layer or removed from the dataset. To verify the functionality of the automatic procedure and to determine the resolvability with respect to two boundary layers, several models are tested including horizontal and dipping discontinuities. To resolve distinct discontinuities, their depths must differ by at least 60 km, otherwise, due to similar depth ranges of the different boundary layers, the converted signals cannot be separated from each other. As a consequence, the converted signals that originate from different discontinuities are attributed to a single one. Further tests including break-off edges of seismic discontinuities are performed to check the attributions of the converted signals to the discontinuities. Owing to the varying number of boundary layers, the converted signals cannot be attributed to the discontinuities according to the order of their arrivals on the traces. It is necessary to correct their attributions to the seismic discontinuities in order to resolve the boundary layers.
The crust-mantle boundary and further discontinuities within the lithospheric mantle are investigated by applying this automatic procedure. Depending on the tectonic setting, the conversion depths of the Moho range from about 30 – 45 km beneath the western rift shoulder to 20 – 35 km within the rift valley up to 30 – 40 km beneath the eastern rift shoulder. The long wavelengths of the shear waves hamper the correct identification of the converted phases in the S-receiver functions. With respect to the relative differences in conversion depth, the topographic undulations of the crust-mantle boundary are consistent with the Moho depths derived from P-receiver functions. In contrast to the Rwenzori region, it is difficult to resolve completely the trend of the Moho in the remaining area of the East African Rift due to the small dataset provided by IRIS. The results exibit an increase in crustal thickness to up to 45 km in the region of the Cenozoic volcanics such as Virunga, Kivu, Rungwe and Kenya. The greatest Moho depths of more than 50 km are located near Mount Kilimanjaro. In addition to the Moho, the analysis of the S-receiver functions revealed two further boundary layers at depths of 60 – 140 km and 110 – 260 km, which are associated with a mid-lithospheric discontinuity and the lithosphere-asthenosphere boundary, respectively. The shallowest conversion depths of the LAB are focussed to small-scale regions within the rift branches, namely the northern Albertine Rift, the Chyulu Hills and the Mozambique Belt, which are located around the Tanzania Craton. The larger thickness of the lithosphere beneath the cratonic terrain indicates that the Tanzania Craton is not significantly eroded. However, there are indications that the lithosphere beneath the craton and the rift branches is penetrated by ascending asthenospheric melts to depths of up to 140 and 60 km, respectively. The top of the ascending melts is associated with the occurrence of the mid-lithospheric discontinuity. The shallowest conversion depths of this boundary layer (60 – 90 km) are related to the rifted areas of the EARS and the Cenozoic volcanic provinces, which are located along the Albertine Rift, the Kenya Rift and the Rukwa-Malawi rift zones. The deepest conversion depths of up to 140 km are related to the Rwenzori Belt, the Ugandan Basement Complex and the interior of the Tanzania Craton.
Over the last several decades, spinel-structured minerals with the chemical formula AB2O4 (where A and B stand for divalent and trivalent cations, respectively) have attracted more and more attention, particularly with regards to their breakdown at high pressures and temperatures and the nature of the so-called "post-spinel" phases. Spinel-structured phases with different endmember compositions, like magnetite (Fe3O4), hercynite (FeAl2O4) or spinel (MgAl2O4), are known to breakdown differently at high pressure-temperature conditions (e.g., Akaogi et al. 1999; Schollenbruch et al. 2010; Woodland et al. 2012). Such phases are of particular interest when they incorporate ferric (Fe3+) and ferrous (Fe2+) cations as this makes their stability sensitive to redox conditions. Since magnetite and magnesioferrite (MgFe3+ 2O4) have been found as inclusions in diamond (e.g., Stachel et al. 1998; Harte et al. 1999; Wirth et al. 2014; Palot et al. 2016; Jacob et al. 2016), understanding their phase relations is important for setting constraints on the conditions of their formation.
This study aimed to experimentally investigate the phase relations of Fe-Mg spinel-structured phases at conditions of the deep upper mantle and transition zone. Exploring the stability of new post-spinel phases and their characterization were also major goals of this study. Approaching a pyrolitic mantle composition by adding amounts of SiO2 in the system allowed constraints on the relevance of Fe-Mg post-spinel phases coexisting with mantle silicates to be made. ...
Indian Ocean came into existence with the breakup of Gondwana in the Mesozoic era. The presence of complex aseismic ridges and plateaus in the Indian Ocean makes it the least-understood of all the oceans. Mascarene Plateau, apart from Central Indian Ridge (CIR) running north-south between 2◦N and 25◦S in the Indian Ocean, is one such complex feature in the Indian Ocean that consists of Seychelles microcontinent in the north and the volcanic islands of Mauritius, La Réunion and Rodrigues in the south.
Most of the previous seismological studies on the islands of Mauritius, Rodrigues and Seychelles are restricted as each of them has only one operational permanent station. In the current study, I present the results obtained from the investigations of the seismological data obtained from the deployment of temporary seismic network on Mauritius (November, 2012–August, 2014) and Seychelles (March, 2013–March, 2015) under Réunion Hotspot and Upper Mantle–Réunions Unterer Mantel (RHUM–RUM) project and later in Rodrigues (September, 2014–June, 2016) under a collaborative project between Goethe-Universität, Frankfurt, Germany and Mauritius Oceanography Institute (MOI), Mauritius. Additional data from the permanent stations were also used in this study. The investigations and results are presented under three themes, namely: (1) crustal structure beneath Mauritius, (2) upper mantle anisotropy below Mauritius, Rodrigues and Seychelles and (3) intraplate seismicity in the Rodrigues–CIR region.
Upper mantle anisotropy in south-west Indian Ocean region are very limited, especially from the islands of Mauritius and Rodrigues. With the new data from the seismic stations deployed in Mauritius and Seychelles, under RHUM–RUM, and permanent stations in Rodrigues, I constrain the upper mantle flow pattern beneath these islands. From the joint-splitting analysis, I obtain fast-polarisation direction (φ) dominant in N80◦E and delay time (δt) of ≈0.85 s for Mauritius and φ tending east–west in Rodrigues with δt of ≈1.1 s. Parabolic asthenospheric flow model explains the orientation of the fast-polarisation direction beneath Mauritius, whereas deep mantle circulation patterns best explain the horizontal alignment of the fast-polarisation direction in Rodrigues. From Seychelles data, the results show φ trending NE and δt ≈0.74 s, even for the island close to Amirante Ridge, suggesting an asthenospheric deformation induced by relative motion between the plate and the deep mantle flow.
It has recently been suggested that the volcanic island of Mauritius may be underlain by a remnant of continental origin termed “Mauritia.” To constrain the crustal thickness beneathMauritius, I analysed data from 11 land stations, 10 of which were deployed recently under the RHUM–RUM project. From the recordings, I obtained 382 P-receiver functions. On the obtained receiver functions, I applied the H–κ stacking technique and derived the crustal thickness of ≈10–15 km. I observe a considerable variation in the VP/VS ratio caused by a lack of clear multiples. Using forward modelling of receiver functions, I show that the lack of clear multiples can be explained by a transitional Moho, where the velocity increases gradually. The modelling further indicates that the thickness of this gradient zone is estimated to be ≈10 km. I argue that my findings suggest oceanic crust thickened by crustal underplating due to the mantle plume currently located beneath La Réunion.
Seismicity around Rodrigues Island is generally associated with events recorded by the global networks along the CIR. Using seismological array techniques on the data collected by the temporary deployment of seismic array on Rodrigues Island for a period of 22 months (September, 2014–June 2016), 62 new events were located, which were not reported by any global network. Determination of backazimuth and apparent velocity were performed by applying array methods in the time-domain instead of the more conventional frequency-domain analysis. Event distances were calculated using a 1-D velocity model and the measured travel-time differences between S- and P-wave arrivals. Local magnitudes of the events were obtained by removing the velocity response from the seismographs and then convolving with Wood–Anderson transfer function to obtain ground motion in nanometers. Most of the newly-detected events are located off the ridge axis and can be classified as intraplate events. Three different seismic clusters were observed around the island. Most of the events were localised in the north-east of Rodrigues at a distance of ≈138 km from the reference station. A distinguishable swarm of earthquakes was observed on the west of the spreading segment from March to April 2015. The local magnitudes (ML) of the events varied between 1.6 and 3.7.
Eisnukleierende Partikel (INP) sind ein wichtiger Bestandteil des atmosphärischen Aerosols. Trotz ihrer geringen Konzentrationen in der Atmosphäre haben sie Einfluss auf die Bildung von Eiskristallen und auf den Niederschlag. Durch Änderungen in Anzahlkonzentration oder anderer Eigenschaften der INP können sich Wolkenparameter wie Lebensdauer und Tröpfchendichte ändern, was weiter eine Ursache für Änderungen im globalen Strahlungshaushalt sein kann.
Der Anteil zum globalen Strahlungshaushalt durch „Wolken-Anpassungen aufgrund von Aerosolen“, stellt weiterhin die größte Unsicherheit des Strahlungsantriebes dar. Aus diesem Grund sind Messungen und Studien über atmosphärische Aerosole und INP notwendig. Im Rahmen dieser Arbeit wurde der Eiskeimzähler FINCH („fast ice nucleus chamber“) grundlegend überholt und für Messungen von INP optimiert. FINCH ist ein in-situ Eiskeimzähler der durch Mischung unterschiedlicher Luftströme eine Übersättigung der Probeluft mit Wasserdampf erzeugt, um auf diese Weise die zu untersuchenden Aerosolpartikel zu Eiskristallen wachsen zu lassen. Am Ende einer Wachstumskammer werden die Partikel durch eine Optik, dem FINCH-OPS, anhand von Streueigenschaften klassifiziert und ausgewertet. Um FINCH im erwarteten Umfang benutzen zu können, wurden am F-OPS der Laser und die zur Detektion des Streulichts benutzen Photomultiplier ersetzt. Weiter wurde die Software zur Detektion der Partikel neu entwickelt. Durch diese Änderungen ist es möglich Partikelanzahl, Partikelgröße sowie eine Information über die Form der Partikel abzuleiten. Über einen weiteren Photomultiplier im F-OPS ist es zudem möglich eine Information über Fluoreszenz des Partikels zu gewinnen, um so auf einen biologischen Ursprung des Partikels zu schließen. Vorangegangene Probleme durch elektromagnetische Einstrahlung und dadurch entstandene Inkonsistenzen während Messungen konnten im Rahmen dieser Arbeit identifiziert und ausgeschlossen werden. Ebenfalls konnten die zur Flusskühlung benutzen Wärmetaucher als Ursache für Verunreinigungen und Kontamination ausgemacht werden. Auch dieser, für Messungen ungeeignete Zustand, wurde im Rahmen dieser Arbeit behoben.
Ausführliche Charakterisierungsmessungen konnte die Funktionsfähigkeit des F-OPS, als einzelnes Messgerät ohne FINCH-Kammer, belegen. Durch Messungen mit einer steuerbaren Lichtquelle in der Optik konnte zudem die elektrische Verarbeitung sowie die Zählqualität der Optik verifiziert werden. Weiter kann durch diese Experimente gezeigt werden, dass mit dem F-OPS größenaufgelöst gemessen werden kann.
Auch in den ersten Streulichtexperimenten mit Testaerosol kann die Funktionsfähigkeit der Optik gezeigt werden. Für Partikelgröße von Dp > 400 nm wird eine Zähleffizienz von 25% eines TSI 3025 CPCs erreicht. Die über den F-OPS abgeleitete Partikelgröße kann durch Messungen mit monodispersen Aerosolpartikeln und einer parallelen Messung mit einem TSI 3330 OPS parametrisiert werden. Weiter kann die Fluoreszenz von ausgewählten Referenzstoffen gezeigt werden.
Im Betrieb von F-OPS hinter der FINCH-Kammer, also FINCH als Komplettsystem, wurden weitere Charakterisierungsmessungen durchgeführt. Es wurde festgestellt, dass die Anzahlkonzentration der Partikel nach Schließen eines Ventils exponentiell abfällt. Die Partikel folgen demnach nicht nur einem laminaren Fluss durch die Kammer. 50% der Partikel haben nach ca. 13 s die Kammer verlassen. Auch wurde ermittelt, dass ca. 40% der Partikel in der Kammer verloren gehen.
Erste Aktivierungsexperimente zeigen, dass Eispartikel in der Kammer auf eine Größe von Dp > 6 µm anwachsen. Durch Nullfiltermessungen in Aktivierungsphasen, sowie Ändern des zur Aktivierung notwendigen feuchten Flusses, wird zudem gezeigt, dass die Aktivierung der INP durch Mischung erfolgt und außerdem keine Fremdpartikel aktiviert werden. Die neue Steuerung der Kammer lässt es zu Temperaturen in etwa einer Stunde gezielt anzusteuern. Es wird gezeigt, dass Schwankungen in der Sättigung hauptsächlich durch Temperaturphänomene beeinflusst werden.
Abschließend wurden beispielhaft Laborexperimente mit Snomax© durchgeführt, welche sehr gut mit Werten aus der Literatur verglichen werden konnten. Auch eine erste Außenluftmessung am Jungfraujoch (Schweiz) wird in dieser Arbeit präsentiert. Die gemessenen INP-Konzentrationen im gezeigten Zeitraum liegen zwischen 1,4 ± 4,1 L-1 und 53 ± 30 L-1 und entsprechen somit wiederum bekannten Literaturwerten.
Size-resolved measurements of atmospheric aerosol and cloud condensation nuclei (CCN) concentrations and hygroscopicity were conducted at the remote Amazon Tall Tower Observatory (ATTO) in the central Amazon Basin over a full seasonal cycle (Mar 2014–Feb 2015). In a companion part 1 paper, we presented an in-depth CCN characterization based on annually as well as seasonally averaged time intervals and discuss different parametrization strategies to represent the Amazonian CCN cycling in modelling studies (M. Pöhlker et al., 2016b). The present part 2 study analyzes the aerosol and CCN variability in original time resolution and, thus, resolves aerosol advection and transformation for the following case studies, which represent the most characteristic states of the Amazonian atmosphere:
1. Near-pristine (NP) conditions, defined as the absence of detectable black carbon (< 0.01 µg m−3), showed their highest occurrence (up to 30 %) in the wet season (i.e., Mar–May). On average, the NP episodes are characterized by a bimodal aerosol size distribution (strong Aitken mode: DAit = 70 nm, NAit = ~ 200 cm−3 vs. weaker accumulation mode: Dacc = 170 nm, Nacc = ~ 60 cm−3), a mostly organic particle composition, and relatively low hygroscopicity levels (κAit = 0.12 vs. κacc = 0.18). The NP CCN efficiency spectrum shows that the CCN population is sensitive to changes in supersaturation (S) over a wide S range.
2. Long-range transport (LRT) conditions frequently mix Saharan dust, African combustion smoke, and sea spray aerosols into the Amazonian wet season atmosphere. The LRT episodes (i.e., Feb–Apr) are characterized by an accumulation mode dominated size distribution (DAit = 80 nm, NAit = 120 cm−3 vs. Dacc = 180 nm, Nacc = 300 cm−3), a clearly increased abundance of dust and salt compounds, and relatively high hygroscopicity levels (κAit = 0.18, κacc = 0.34). The LRT CCN efficiency spectrum shows that the CCN population is highly sensitive to changes in S in the low S regime.
3. Biomass burning (BB) conditions dominate the Amazonian dry season. A selected characteristic BB episode shows a very strong accumulation mode (DAit = 70 nm, NAit = ~ 140 cm−3 vs. Dacc = 170 nm, Nacc = ~ 3400 cm−3), particles with very high organic fractions (> 90 %), and correspondingly low hygroscopicity levels (κAit = 0.14, κacc = 0.17). The BB CCN efficiency spectrum shows that the CCN population is highly sensitive to changes in S in the low S regime.
4. Mixed pollution conditions show the superposition of African (i.e., volcanic) and Amazonian (i.e., biomass burning) aerosol emissions during the dry season. The African aerosols showed a broad monomodal distribution (D = 130 nm, N = ~ 1300 cm−3), with very high sulfate fractions (20 %), and correspondingly high hygroscopicity (κAit = 0.14, κacc = 0.22). This was superimposed by fresh smoke from nearby fires with one strong mode (D = 113 nm, Nacc = ~ 2800 cm−3), an organic-dominated aerosol, and sharply decreased hygroscopicity (κAit = 0.10, κacc = 0.20). These conditions underline the rapidly changing pollution regimes with clear impacts on the aerosol and CCN properties.
Overall, this study provides detailed insights into the CCN cycling in relation to aerosol-cloud interaction in the vulnerable and climate-relevant Amazon region. The detailed analysis of aerosol and CCN key properties and particularly the extracted CCN efficiency spectra with the associated fit parameters provide a basis for an in-depth analysis of aerosol-cloud interaction in the Amazon and beyond.
We developed a coupled regional climate system model based on the CCLM regional climate model. Within this model system, using OASIS3-MCT as a coupler, CCLM can be coupled to two land surface models (the Community Land Model (CLM) and VEG3D), the NEMO-MED12 regional ocean model for the Mediterranean Sea, two ocean models for the North and Baltic seas (NEMO-NORDIC and TRIMNP+CICE) and the MPI-ESM Earth system model.
We first present the different model components and the unified OASIS3-MCT interface which handles all couplings in a consistent way, minimising the model source code modifications and defining the physical and numerical aspects of the couplings. We also address specific coupling issues like the handling of different domains, multiple usage of the MCT library and exchange of 3-D fields.
We analyse and compare the computational performance of the different couplings based on real-case simulations over Europe. The usage of the LUCIA tool implemented in OASIS3-MCT enables the quantification of the contributions of the coupled components to the overall coupling cost. These individual contributions are (1) cost of the model(s) coupled, (2) direct cost of coupling including horizontal interpolation and communication between the components, (3) load imbalance, (4) cost of different usage of processors by CCLM in coupled and stand-alone mode and (5) residual cost including i.a. CCLM additional computations.
Finally a procedure for finding an optimum processor configuration for each of the couplings was developed considering the time to solution, computing cost and parallel efficiency of the simulation. The optimum configurations are presented for sequential, concurrent and mixed (sequential+concurrent) coupling layouts. The procedure applied can be regarded as independent of the specific coupling layout and coupling details.
We found that the direct cost of coupling, i.e. communications and horizontal interpolation, in OASIS3-MCT remains below 7 % of the CCLM stand-alone cost for all couplings investigated. This is in particular true for the exchange of 450 2-D fields between CCLM and MPI-ESM. We identified remaining limitations in the coupling strategies and discuss possible future improvements of the computational efficiency.
The assessment of water balance components using global hydrological models is subject to climate forcing uncertainty as well as to an increasing intensity of human water use within the 20th century. The uncertainty of five state-of-the-art climate forcings and the resulting range of cell runoff that is simulated by the global hydrological model WaterGAP is presented. On the global land surface, about 62 % of precipitation evapotranspires, whereas 38 % discharges into oceans and inland sinks. During 1971–2000, evapotranspiration due to human water use amounted to almost 1 % of precipitation, while this anthropogenic water flow increased by a factor of approximately 5 between 1901 and 2010. Deviation of estimated global discharge from the ensemble mean due to climate forcing uncertainty is approximately 4 %. Precipitation uncertainty is the most important reason for the uncertainty of discharge and evapotranspiration, followed by shortwave downward radiation. At continental levels, deviations of water balance components due to uncertain climate forcing are higher, with the highest discharge deviations occurring for river discharge in Africa (−6 to 11 % from the ensemble mean). Uncertain climate forcings also affect the estimation of irrigation water use and thus the estimated human impact of river discharge. The uncertainty range of global irrigation water consumption amounts to approximately 50 % of the global sum of water consumption in the other water use sector.
Over recent decades, the global population has been rapidly increasing and human activities have altered terrestrial water fluxes to an unprecedented extent. The phenomenal growth of the human footprint has significantly modified hydrological processes in various ways (e.g. irrigation, artificial dams, and water diversion) and at various scales (from a watershed to the globe). During the early 1990s, awareness of the potential for increased water scarcity led to the first detailed global water resource assessments. Shortly thereafter, in order to analyse the human perturbation on terrestrial water resources, the first generation of large-scale hydrological models (LHMs) was produced. However, at this early stage few models considered the interaction between terrestrial water fluxes and human activities, including water use and reservoir regulation, and even fewer models distinguished water use from surface water and groundwater resources. Since the early 2000s, a growing number of LHMs have incorporated human impacts on the hydrological cycle, yet the representation of human activities in hydrological models remains challenging. In this paper we provide a synthesis of progress in the development and application of human impact modelling in LHMs. We highlight a number of key challenges and discuss possible improvements in order to better represent the human–water interface in hydrological models.
Ecological networks are more sensitive to plant than to animal extinction under climate change
(2016)
Impacts of climate change on individual species are increasingly well documented, but we lack understanding of how these effects propagate through ecological communities. Here we combine species distribution models with ecological network analyses to test potential impacts of climate change on >700 plant and animal species in pollination and seed-dispersal networks from central Europe. We discover that animal species that interact with a low diversity of plant species have narrow climatic niches and are most vulnerable to climate change. In contrast, biotic specialization of plants is not related to climatic niche breadth and vulnerability. A simulation model incorporating different scenarios of species coextinction and capacities for partner switches shows that projected plant extinctions under climate change are more likely to trigger animal coextinctions than vice versa. This result demonstrates that impacts of climate change on biodiversity can be amplified via extinction cascades from plants to animals in ecological networks.
The formation of secondary particles in the atmosphere accounts for more than half of global cloud condensation nuclei. Experiments at the CERN CLOUD (Cosmics Leaving OUtdoor Droplets) chamber have underlined the importance of ions for new particle formation, but quantifying their effect in the atmosphere remains challenging. By using a novel instrument setup consisting of two nano-particle counters, one of them equipped with an ion filter, we were able to further investigate the ion-related mechanisms of new particle formation. In autumn 2015, we carried out experiments at CLOUD on four systems of different chemical compositions involving monoterpenes, sulfuric acid, nitrogen oxides, and ammonia. We measured the influence of ions on the nucleation rates under precisely controlled and atmospherically relevant conditions. Our results indicate that ions enhance the nucleation process when the charge is necessary to stabilize newly formed clusters, i.e. in conditions where neutral clusters are unstable. For charged clusters that were formed by ion-induced nucleation, we were able to measure, for the first time, their progressive neutralization due to recombination with oppositely charged ions. A large fraction of the clusters carried a charge at 1.2 nm diameter. However, depending on particle growth rates and ion concentrations, charged clusters were largely neutralized by ion–ion recombination before they grew to 2.2 nm. At this size, more than 90 % of particles were neutral. In other words, particles may originate from ion-induced nucleation, although they are neutral upon detection at diameters larger than 2.2 nm. Observations at Hyytiälä, Finland, showed lower ion concentrations and a lower contribution of ion-induced nucleation than measured at CLOUD under similar conditions. Although this can be partly explained by the observation that ion-induced fractions decrease towards lower ion concentrations, further investigations are needed to resolve the origin of the discrepancy.
The CLOUD (Cosmics Leaving OUtdoor Droplets) experiment at CERN is studying the nucleation and growth of aerosol particles under atmospheric conditions, and their activation into cloud droplets. A key feature of the CLOUD experiment is precise control of the experimental parameters. Temperature uniformity and stability in the chamber are important since many of the processes under study are sensitive to temperature and also to contaminants that can be released from the stainless steel walls by upward temperature fluctuations. The air enclosed within the 3 m CLOUD chamber is equipped with several arrays (strings) of high precision, fast-response thermometers to measure its temperature. Here we present a study of the air temperature uniformity inside the CLOUD chamber under various experimental conditions. Measurements were performed under calibration conditions and run conditions, which are distinguished by the flow rate of fresh air and trace gases entering the chamber: 20 l/min and up to 210 l/min, respectively. During steady-state calibration runs between −70 °C and +20 °C, the air temperature uniformity is better than +/−0.06 °C in the radial direction and +/−0.1 °C in the vertical direction. Larger non-uniformities are present during experimental runs, depending on the temperature control of the make-up air and trace gases (since some trace gases require elevated temperatures until injection into the chamber). The temperature stability is a few times 0.01 °C over periods of several hours during either calibration or steady-state run conditions. During rapid adiabatic expansions to activate cloud droplets and ice particles, the chamber walls are up to 10 °C warmer than the enclosed air. This results in larger non-uniformities while the air returns to its equilibrium temperature with time constant of about 200 s.
Evaluation of radiation components in a global freshwater model with station-based observations
(2016)
In many hydrological models, the amount of evapotranspired water is calculated using the potential evapotranspiration (PET) approach. The main driver of several PET approaches is net radiation, whose downward components are usually obtained from meteorological input data, whereas the upward components are calculated by the model itself. Thus, uncertainties can be large due to both the input data and model assumptions. In this study, we compare the radiation components of the WaterGAP Global Hydrology Model, driven by two meteorological input datasets and two radiation setups from ERA-Interim reanalysis. We assess the performance with respect to monthly observations provided by the Baseline Surface Radiation Network (BSRN) and the Global Energy Balance Archive (GEBA). The assessment is done for the global land area and specifically for energy/water limited regions. The results indicate that there is no optimal radiation input throughout the model variants, but standard meteorological input datasets perform better than those directly obtained by ERA-Interim reanalysis for the key variable net radiation. The low number of observations for some radiation components, as well as the scale mismatch between station observations and 0.5° × 0.5° grid cell size, limits the assessment.
The Earth's future depends on how we manage the manifold risks of climate change (CC). It is state-of-the-art to assume that risk reduction requires participatory management involving a broad range of stakeholders and scientists. However, there is still little knowledge about the optimal design of participatory climate change risk management processes (PRMPs), in particular with respect to considering the multitude of substantial uncertainties that are relevant for PRMPs. To support the many local to regional PRMPs that are necessary for a successful global-scale reduction of CC risks, we present a roadmap for designing such transdisciplinary knowledge integration processes. The roadmap suggests ways in which uncertainties can be comprehensively addressed within a PRMP. We discuss the concept of CC risks and their management and propose an uncertainty framework that distinguishes epistemic, ontological, and linguistic uncertainty as well as ambiguity. Uncertainties relevant for CC risk management are identified. Communicative and modeling methods that support social learning as well as the development of risk management strategies are proposed for each of six phases of a PRMP. Finally, we recommend how to evaluate PRMPs as such evaluations and their publication are paramount for achieving a reduction of CC risks.
The present PhD thesis comprises structural geology, petrographic and geochronological investiga-tions on crystalline rocks of the Uppermost Unit in the southern Aegean realm. Studies were carried out in three areas: (1) on the island of Anafi, (2) in the area west of Melambes in central Crete and (3) between the villages of Pefkos, Kalami and Sykologos in the municipality of Viannos in eastern Crete.
The Uppermost Unit forms together with the underlying, non-metamorphic Pindos Unit the upper nappe system of the Cretan nappe pile that, unlike the units of the lower nappe system, was not affected by Late Oligocene to Early Miocene subduction-related metamorphism. The upper nappe system must therefore have been at upper levels of the lithosphere in the Late Oligocene. This is of particular im-portance when reconstructing the tectonometamorphic evolution of the Uppermost Unit. The Upper-most Unit is very heterogeneous in composition and is subdivided into several subunits, which differ mainly in their lithological composition and the degree of metamorphic overprint. Usually, it is subdi-vided into several low-grade metamorphic subunits and one high-grade metamorphic subunit. Within the scope of this PhD thesis, three of these subunits were examined; (1) the anchimetamorphic Arvi Unit, (2) the newly described Greenschist Unit and (3) the Asterousia Crystalline Complex (ACC).
The analyses conducted during this PhD thesis include: (1) structural geology investigations in the field, (2) microstructural and petrographic analyses on thin sections, (3) radiometric dating of zircons using isotope dilution thermal ionisation mass spectrometry (ID-TIMS) and laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS), (4) electron microprobe (EMP) analysis, (5) quartz texture analysis using electron-backscattered diffraction (EBSD), (6) semiquantitative analysis of min-eral phases using X-ray powder diffraction (XRD), (7) analysis of the modal composition of intrusive rocks applying point counting on thin sections and (8) X-ray microtomography (micro-CT) on chias-tolite hornfels.
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Erstmals trägt dieses nationale Assessment den Forschungsstand zum Klimawandel umfassend für alle Themenbereiche und gesellschaftlichen Sektoren zusammen. Womit müssen wir in Deutschland rechnen, welche Auswirkungen werden die Klimaveränderungen auf Wirtschaft und Gesellschaft haben, und wie können wir uns wappnen? 126 Autoren aus ganz Deutschland äußern sich zu Themen wie bereits beobachtete und zukünftige Veränderungen, Wetterkatastrophen und deren Folgen, den Projektionen für die Zukunft, den Risiken sowie möglichen Anpassungsstrategien.
Die Autoren stellen in verständlicher Sprache den aktuellen Forschungsstand dar und veranschaulichen die wichtigsten Gedanken in Grafiken und Tabellen. Alle Texte wurden mehrfach wissenschaftlich begutachtet. Klimawandel in Deutschland ist die erste Gesamtschau zu dem Themenkomplex, benennt offene Fragestellungen und liefert eine Grundlage für Entscheidungen im Zusammenhang mit dem Klimawandel.
Deutschland reiht sich damit ein in die Liste von Ländern wie die Vereinigten Staaten, Österreich und Großbritannien, in denen derartige Berichte bereits vorliegen.
Binary nucleation of sulphuric acid-water particles is expected to be an important process in the free troposphere at low temperatures. SAWNUC (Sulphuric Acid Water Nucleation) is a model of binary nucleation that is based on laboratory measurements of the binding energies of sulphuric acid and water in charged and neutral clusters. Predictions of SAWNUC are compared for the first time comprehensively with experimental binary nucleation data from the CLOUD chamber at European Organization for Nuclear Research. The experimental measurements span a temperature range of 208–292 K, sulphuric acid concentrations from 1·106 to 1·109 cm−3, and distinguish between ion-induced and neutral nucleation. Good agreement, within a factor of 5, is found between the experimental and modeled formation rates for ion-induced nucleation at 278 K and below and for neutral nucleation at 208 and 223 K. Differences at warm temperatures are attributed to ammonia contamination which was indicated by the presence of ammonia-sulphuric acid clusters, detected by an Atmospheric Pressure Interface Time of Flight (APi-TOF) mass spectrometer. APi-TOF measurements of the sulphuric acid ion cluster distributions (math formula with i = 0, 1, ..., 10) show qualitative agreement with the SAWNUC ion cluster distributions. Remaining differences between the measured and modeled distributions are most likely due to fragmentation in the APi-TOF. The CLOUD results are in good agreement with previously measured cluster binding energies and show the SAWNUC model to be a good representation of ion-induced and neutral binary nucleation of sulphuric acid-water clusters in the middle and upper troposphere.
We performed an intercomparison of river discharge regulated by dams under four meteorological forcings among five global hydrological models for a historical period by simulation. This is the first global multimodel intercomparison study on dam-regulated river flow. Although the simulations were conducted globally, the Missouri–Mississippi and Green–Colorado Rivers were chosen as case-study sites in this study. The hydrological models incorporate generic schemes of dam operation, not specific to a certain dam. We examined river discharge on a longitudinal section of river channels to investigate the effects of dams on simulated discharge, especially at the seasonal time scale. We found that the magnitude of dam regulation differed considerably among the hydrological models. The difference was attributable not only to dam operation schemes but also to the magnitude of simulated river discharge flowing into dams. That is, although a similar algorithm of dam operation schemes was incorporated in different hydrological models, the magnitude of dam regulation substantially differed among the models. Intermodel discrepancies tended to decrease toward the lower reaches of these river basins, which means model dependence is less significant toward lower reaches. These case-study results imply that, intermodel comparisons of river discharge should be made at different locations along the river's course to critically examine the performance of hydrological models because the performance can vary with the locations.
Land surface and hydrologic models (LSM/HM) are used at diverse spatial resolutions ranging from 1-10 km in catchment-scale applications to over 50 km in global-scale applications. Application of the same model structure at different spatial scales requires that the model estimates similar fluxes independent of the model resolution and fulfills a flux-matching condition across scales. An analysis of state-of-the-art LSMs and HMs reveals that most do not have consistent and realistic parameter fields for land surface geophysical properties. Multiple experiments with the mHM, Noah-MP, PCR-GLOBWB and WaterGAP models are conducted to demonstrate the pitfalls of poor parameterization practices currently used in most operational models, which are insufficient to satisfy the flux-matching condition. These examples demonstrate that J. Dooge’s 1982 statement on the unsolved problem of parameterization in these models remains true. We provide a short review of existing parameter regionalization techniques and discuss a method for obtaining seamless hydrological predictions of water fluxes and states across multiple spatial resolutions. The multiscale parameter regionalization (MPR) technique is a practical and robust method that provides consistent (seamless) parameter and flux fields across scales. A general model protocol is presented to describe how MPR can be applied to a specific model, with an example of this application using the PCR-GLOBWB model. Applying MPR to PCR-GLOBWB substantially improves the flux-matching condition. Estimation of evapotranspiration without MPR at 5 arcmin and 30 arcmin spatial resolutions for the Rhine river basin results in a difference of approximately 29%. Applying MPR reduce this difference to 9%. For total soil water, the differences without and with MPR are 25% and 7%, respectively.
Land surface and hydrologic models (LSMs/HMs) are used at diverse spatial resolutions ranging from catchment-scale (1–10 km) to global-scale (over 50 km) applications. Applying the same model structure at different spatial scales requires that the model estimates similar fluxes independent of the chosen resolution, i.e., fulfills a flux-matching condition across scales. An analysis of state-of-the-art LSMs and HMs reveals that most do not have consistent hydrologic parameter fields. Multiple experiments with the mHM, Noah-MP, PCR-GLOBWB, and WaterGAP models demonstrate the pitfalls of deficient parameterization practices currently used in most operational models, which are insufficient to satisfy the flux-matching condition. These examples demonstrate that J. Dooge's 1982 statement on the unsolved problem of parameterization in these models remains true. Based on a review of existing parameter regionalization techniques, we postulate that the multiscale parameter regionalization (MPR) technique offers a practical and robust method that provides consistent (seamless) parameter and flux fields across scales. Herein, we develop a general model protocol to describe how MPR can be applied to a particular model and present an example application using the PCR-GLOBWB model. Finally, we discuss potential advantages and limitations of MPR in obtaining the seamless prediction of hydrological fluxes and states across spatial scales.
Chemical reduction-oxidation mechanisms within mantle rocks link to the terrestrial carbon cycle by influencing the depth at which magmas can form, their composition, and ultimately the chemistry of gases released into the atmosphere. The oxidation state of the uppermost mantle has been widely accepted to be unchanged over the past 3800 m.y., based on the abundance of redox-sensitive elements in greenstone belt–associated samples of different ages. However, the redox signal in those rocks may have been obscured by their complex origins and emplacement on continental margins. In contrast, the source and processes occurring during decompression melting at spreading ridges are relatively well constrained. We retrieve primary redox conditions from metamorphosed mid-oceanic ridge basalts (MORBs) and picrites of various ages (ca. 3000–550 Ma), using V/Sc as a broad redox proxy. Average V/Sc values for Proterozoic suites (7.0 ± 1.4, 2σ, n = 6) are similar to those of modern MORB (6.8 ± 1.6), whereas Archean suites have lower V/Sc (5.2 ± 0.4, n = 5). The lower Archean V/Sc is interpreted to reflect both deeper melt extraction from the uppermost mantle, which becomes more reduced with depth, and an intrinsically lower redox state. The pressure-corrected oxygen fugacity (expressed relative to the fayalite-magnetite-quartz buffer, ΔFMQ, at 1 GPa) of Archean sample suites (ΔFMQ –1.19 ± 0.33, 2σ) is significantly lower than that of post-Archean sample suites, including MORB (ΔFMQ –0.26 ± 0.44). Our results imply that the reducing Archean atmosphere was in equilibrium with Earth’s mantle, and further suggest that magmatic gases crossed the threshold that allowed a build-up in atmospheric O2 levels ca. 3000 Ma, accompanied by the first “whiffs” of oxygen in sediments of that age.
We have developed and characterized the novel PTR3, a proton transfer reaction-time-of-flight mass spectrometer (PTR-TOF) using a new gas inlet and an innovative reaction chamber design. The reaction chamber consists of a tripole operated with rf voltages generating an electric field only in the radial direction. An elevated electrical field is necessary to reduce clustering of primary hydronium (H3O+) and product ions with water molecules present in the sample gas. The axial movement of the ions is achieved by the sample gas flow only. Therefore, the new design allows a 30-fold longer reaction time and a 40-fold increase in pressure compared to standard PTR-TOF-MS. First calibration tests show sensitivities of up to 18000 counts per second/parts per billion and volume (cps/ppbv) at a mass resolution of >8000 m/Δm (fwhm). The new inlet using center-sampling through a critical orifice reduces wall losses of low volatility compounds. Therefore, the new PTR3 instrument is sensitive to VOC typically present in the ppbv range as well as to semivolatile organic compounds (SVOC) and even highly oxidized organic molecules (HOMs) present in the parts per quadrillion per volume (ppqv) range in the atmosphere.
Eiskeime (INP) sind Aerosolpartikel, die das Entstehen von Eiskristallen in der Atmosphäre zwischen 0 und -37°C ermöglichen, indem sie die zur Ausbildung der Eisphase nötige Energie gegenüber einem reinen Wassersystem stark herabsetzen. Dabei sind aktive Stellen auf der Oberfläche dieser Partikel für die erste Nukleation von Eis verantwortlich. In der Folge können die Eiskristalle zulasten von verdunstenden Wasserdampfmolekülen und Wassertröpfchen weiter anwachsen. Über Eismultiplikationsprozesse zersplittern und vervielfältigen sich die Eiskristalle und wachsen über Bereifung schließlich zu einer kritischen Größe heran, wodurch sie als Niederschlag zu Boden fallen können. Auch wenn der Anteil der zur heterogenen Eisnukleation fähigen Aerosole vergleichsweise gering ist, spielen INP eine entscheidende Rolle für die Entwicklung von Niederschlag und nehmen Einfluss auf Strahlungsprozesse, indem sie auf die Phase der Wolken und damit auf deren Strahlungseigenschaften einwirken. Viele Fragen im Forschungsgebiet der heterogenen Eisnukleation sind jedoch weiterhin nicht hinreichend genau geklärt. Ohne eine verbesserte Kenntnis von Konzentrationen, geographischer und vertikaler Verteilung, sowie zeitlicher Variation, Quellen und Natur von INP, sind noch vorhandene Wissenslücken im Strahlungsantrieb durch Wechselwirkungen von Aerosolen und Wolken nur zu einem gewissem Grad zu reduzieren. Dies ist nötig, um aktuelle Beobachtungsdaten der sich erwärmenden Atmosphäre besser verstehen und die zukünftigen Änderungen des Klimas sicherer vorhersagen zu können. In dieser Arbeit wird die Vakuumdiffusionskammer FRIDGE verwendet, um atmosphärische INP-Konzentrationen zu bestimmen. Aerosolpartikel werden dabei in einem ersten Schritt auf einem Silicium-Probenträger elektrostatisch niedergeschlagen. Die Effizienz des Sammelprozesses, also der Anteil der Partikel die tatsächlich auf dem Si-Substrat abgeschieden werden, wurde mittels zweier unabhängiger Methoden auf etwa 60% bestimmt. In einem zweiten Mess-Schritt werden die Proben in FRIDGE typischen Bedingungen von Mischphasenwolken ausgesetzt, wodurch Eiskristalle an den INP aktiviert werden und im Verlauf einer Messung anwachsen. Eine Kamera beobachtet die durch das Eiswachstum entstehenden Helligkeitsänderungen auf dem dunklen Probensubstrat. Die Kriterien, wann ein Objekt als Eiskristall identifiziert und gezählt wird, mussten im Rahmen dieser Arbeit neu entwickelt werden. In der zu Beginn der Arbeit vorgefundenen Einstellung hatte bereits eine sehr geringe Helligkeitsänderung, wie sie durch das hygroskopische Wachstum von Aerosolpartikeln hervorgerufen wird, zu Signalen geführt, die fälschlicherweise als Eiskristalle gezählt wurden. Das reevaluierte Messverfahren von FRIDGE wurde im Zuge der FIN-02 Kampagne in einem groß angelegten Laborexperiment an der AIDA Wolkenkammer mit zahlreichen anderen INP-Zählern aus der ganzen Welt verglichen. Für den Großteil der Messungen der untersuchten Modell-Aerosoltypen konnte eine zufriedenstellende Übereinstimmung mit den anderen Instrumenten erzielt werden. In einer einmonatigen Feldmesskampagne im östlichen Mittelmeerraum konnten die ersten INP-Messungen an Bord eines unbemannten Flugzeugs durchgeführt werden. Während der Kampagne auf Zypern wurden mehrere Fälle von transportiertem Saharastaub beprobt, in denen die INP-Konzentration maßgeblich erhöht war. Lidar-Beobachtungen und ein Staubtransportmodell zeigten, dass sich das Maximum der Staubschichten zumeist in etwa 2-4 Kilometern Höhe befand. In der Höhe wurden INP-Konzentrationen gefunden, die im Mittel um einen Faktor 10 größer waren als auf Bodenniveau. Es wird gefolgert, dass INP-Messungen am Boden möglicherweise nur begrenzte Aussagekraft über die Situation nahe der Wolkenbildung besitzen. Im Rahmen BACCHUS-Projekts wurden zwischen August 2014 und Januar 2017 (mit Unterbrechungen) alle 1-2 Tage Proben an drei Reinluftstationen gesammelt (insgesamt über 900). Das INP-Messnetz mit einer geographischen Ausdehnung von der Arktis zum Äquator bestand aus Stationen in Spitzbergen, Martinique und im Amazonas. Die Station im brasilianischen Regenwald ist durch wechselnde Bedingungen von sauberer Regen- und verunreinigter Trockenzeit charakterisiert. In der Trockenzeit steigen die Partikelkonzentrationen durch starke Belastung aus Biomassenverbrennung um eine Größenordnung an; eine gleichzeitige Zunahme der INP-Konzentrationen konnte nicht beobachtet werden. Daraus kann vermutet werden, dass Partikel aus Feueremissionen keine ausgezeichneten Fähigkeiten zur Eisnukleation aufweisen. Die INP-Konzentrationen in der Karibik konnten mit dem Jahresgang von transportieren Saharastaub in Verbindung gebracht werden. In der Arktis wurden die niedrigsten INP-Konzentrationen der drei Stationen beobachtet. Zum Zeitpunkt des Erstellens dieser Arbeit können die determinierenden Einflussfaktoren, sowie der anthropogene Einfluss zur Zeit des arktischen Dunstes noch nicht abschließend geklärt werden.
The Global Irrigation Model (GIM) is used within the framework of the global hydrological model WaterGAP to calculate monthly irrigation crop water use. Results on a 0.5 degrees grid include, consumption (ICU) and, via division by irrigation efficiencies, water withdrawal (IWU). The model distinguishes up to two cropping periods of rice and non-rice crops, each grown for 150 days, using a grid of area equipped for irrigation (AEI). Historical development of AEI and fraction of area actually irrigated (AAI) was previously considered via scaling of cell-specific results with country-specific factors for each year. In this study, GIM was adapted to use the new Historical Irrigation Data set (HID) with cell-specific AEI for 14 time slices between 1900 and 2005. AEI grids were temporally interpolated, and using the optional grid of AAI/AEI, results for years 1901-2014 were generated (runs "HID-ACT"). Thus, new installation or abandonment of irrigation infrastructure in new grid cells can be represented in a spatially explicit manner. For evaluated years 1910, 1960, 1995, and 2005, ICU from HID-ACT was superior to country-specific scaled results (run "HID-ACTHIST") in representing historical development of the spatial pattern. Compared to US state-level reference data, spatial patterns were better, while country totals were not always better. For calculating the cropping periods, 30-years climate means are needed, the choice of which is relevant. Four chosen periods before 1981-2010 all resulted in considerable, pertaining changes of ICU spatial pattern, and various percent changes in country totals. This might be because of already present climate change.
This study examines the urban heat island (UHI) of Brussels, for both current (2000–2009) and projected future (2060–2069) climate conditions, by employing very high resolution (250 m) modelling experiments, using the urban boundary layer climate model UrbClim. Meteorological parameters that are related to the intensity of the UHI are identified and it is investigated how these parameters and the magnitude of the UHI evolve for two plausible trajectories for future climate conditions. UHI intensity is found to be strongly correlated to the inversion strength in the lowest 100 m of the atmosphere. The results for the future scenarios indicate that the magnitude of the UHI is expected to decrease slightly due to global warming. This can be attributed to the increased incoming longwave radiation, caused by higher air temperature and humidity values. The presence of the UHI also has a significant impact on the frequency of extreme temperature events in the city area, both in present and future climates, and exacerbates the impact of climate change on the urban population as the amount of heat wave days in the city increases twice as fast as in the rural surroundings.
Das Ziel dieser Arbeit ist die Untersuchung der stratosphärischen Meridionalzirkulation mit Hilfe von chemisch aktiven Spurengasen. Diese motiviert sich durch die Tatsache, dass der Klimawandel neben den viel erforschten Auswirkungen auf die Troposphäre, auch Reaktionen in der Stratosphäre zur Folge hat, welche bisher weit weniger tiefgehend untersucht wurden. Das macht die Stratosphäre zu einem aktuellen und frequentierten Forschungsgebiet der experimentellen und theoretischen Meteorologie. Neben vereinzelten hochaufgelösten in-situ Messungen und globalen Satellitendaten sind es hier vor allem globale numerische Klima-Chemiemodelle, die für Analysen genutzt werden. Für diese Arbeit wurden Daten des EMAC-Modells (engl.: ECHAM/MESSy Atmospheric Chemistry) ausgwertet, welche im Rahmen der ESCiMo (engl.: Earth System Chemistry integrated Modelling) Initiative vom MESSy-Konsortium (engl.: Modular Earth Submodel System) erstellt wurden. Die Zielsetzung dieser Arbeit war, ob sich etwaige Änderungen des stratosphärischen Transports anhand von modellierten, chemisch aktiven, idealisierten Spurengasen feststellen lassen. Idealisiert bedeutet hierbei, dass diese Gase ein konstantes Mischungsverhältnis am Erdboden aufweisen und den identischen chemischen Prozessen unterliegen wie die realistischen Tracer. Dies hat zur Folge, dass diese Spurengase somit nicht in das Strahlungsbudget des Modells rückkoppeln und ihre Verteilung nicht durch zeitliche troposphärische Trends beeinflusst wird. Zur Analyse des stratosphärischen Transports wurden die Differenzen der monatlich gemittelten Mischungsverhältnisse zweier Zeitpunkte der verschiedenen Substanzen im Vertikalprofil betrachtet und ausgewertet, wobei hier die photolytische Lebenszeit und die Zeitskala des Transports zu berücksichtigen war. Um die Saisonalität von Transport und Chemie zu berücksichtigen, wurden dazu die Monate März, Juni, September und Dezember analysiert.
Die Resultate zeigten, dass chemisch aktive Substanzen in der Tat geeignet sind Änderungen in der Dynamik festzustellen. So stellte sich heraus, dass mit einer allgemeinen Intensivierung der stratosphärischen Meridionalzirkulation im kommenden Jahrhundert gerechnet werden kann, wobei hiervon besonders die untere Stratosphäre betroffen ist. Eine Differenzierung welche Komponente der Zirkulation (Residualtransport oder bidirektionale quasi-horizontale Mischung) hierbei von übergeordneter Bedeutung ist, konnte nicht spezifiziert werden. Um abzuschätzen, ob sich die Änderung der Zirkulation durch Änderungen in den Mischungsverhältnissen von chemisch aktiven Substanzen mit Hilfe von direkten Messungen nachweisen lässt, wurde die atmosphärische Variabilität des Modells bestimmt und mit den Veränderungen dieser Mischungsverhältnisse verglichen. Es zeigte sich, dass diese modellierte atmosphärische Variabilität zum Teil deutlich größer war, als die Differenzen der Mischungsverhältnisse und so ohne eine Vielzahl von in-situ Messungen keine eindeutige Aussage zulassen. Um eine statistisch valide Aussage treffen zu können, müssen daher mehrere Messreihen innerhalb eines Monats durchgeführt werden. Zudem stellte sich heraus, dass der Monat Juni der bestmögliche Messzeitraum ist, da hier die natürliche Variabilität am geringsten ist. Zuletzt wurden die Spurengase mit vergleichsweise kleiner chemischer Lebenszeit auf normierten N2O-Isoplethen untersucht und die Verschiebung dieser Kurve zwischen den zwei Zeitpunkten analysiert. Die so gewonnenen Resultate ließen den Schluss zu, dass sich auf diese Weise die atmosphärische Variabilität reduzieren lässt und bei Nutzung mit experimentellen Daten eine zu den Tracer-Differenzen konsistente Aussage zulässt. So bestärkte diese Methode die These, dass sich der stratosphärische Transport innerhalb des 21. Jahrhunderts wahrscheinlich verstärken wird.
Background: Replicate population pairs that diverge in response to similar selective regimes allow for an investigation of (a) whether phenotypic traits diverge in a similar and predictable fashion, (b) whether there is gradual variation in phenotypic divergence reflecting variation in the strength of natural selection among populations, (c) whether the extent of this divergence is correlated between multiple character suites (i.e., concerted evolution), and (d) whether gradual variation in phenotypic divergence predicts the degree of reproductive isolation, pointing towards a role for adaptation as a driver of (ecological) speciation. Here, we use poeciliid fishes of the genera Gambusia and Poecilia that have repeatedly evolved extremophile lineages able to tolerate high and sustained levels of toxic hydrogen sulfide (H2S) to answer these questions.
Results: We investigated evolutionary divergence in response to H2S in Gambusia spp. (and to a lesser extent Poecilia spp.) using a multivariate approach considering the interplay of life history, body shape, and population genetics (nuclear miscrosatellites to infer population genetic differentiation as a proxy for reproductive isolation). We uncovered both shared and unique patterns of evolution: most extremophile Gambusia predictably evolved larger heads and offspring size, matching a priori predictions for adaptation to sulfidic waters, while variation in adult life histories was idiosyncratic. When investigating patterns for both genera (Gambusia and Poecilia), we found that divergence in offspring-related life histories and body shape were positively correlated across populations, but evidence for individual-level associations between the two character suites was limited, suggesting that genetic linkage, developmental interdependencies, or pleiotropic effects do not explain patterns of concerted evolution. We further found that phenotypic divergence was positively correlated with both environmental H2S-concentration and neutral genetic differentiation (a proxy for gene flow).
Conclusions: Our results suggest that higher toxicity exerts stronger selection, and that divergent selection appears to constrain gene flow, supporting a scenario of ecological speciation. Nonetheless, progress toward ecological speciation was variable, partially reflecting variation in the strength of divergent selection, highlighting the complexity of selective regimes even in natural systems that are seemingly governed by a single, strong selective agent.
Evidence of widespread wildfires in a coal seam from the middle Permian of the North China Basin
(2017)
The North China Basin is the largest coal-bearing basin in China, and has an areal extent of 800,000 km2. We analyzed 138 coal samples and in situ pillar coal samples of the middle Permian from this basin by macropetrography, microscope, scanning electron microscope, gas chromatography, and gas chromatography–mass spectrometer in order to study wildfires. High contents of inertinite (charcoal) and natural coke particles observed in coal samples indicate that vegetation in precursor mires and peats of the middle Permian coal from north China was exposed to far-ranging wildfires. In addition, high-molecular-weight polycyclic aromatic hydrocarbons were detected in the coal samples. These aromatic compounds were formed under high temperatures and provide further evidence of wildfire. These wildfires would have discharged significant CO and CO2 gases into the atmosphere and affected the paleoclimate and paleoecosystem.
Coccolithophores are an abundant phytoplankton group that exhibit remarkable diversity in their biology, ecology and calcitic exoskeletons (coccospheres). Their extensive fossil record is a testament to their important biogeochemical role and is a valuable archive of biotic responses to environmental change stretching back over 200 million years. However, to realise the full potential of this archive for (palaeo-)biology and biogeochemistry requires an understanding of the physiological processes that underpin coccosphere architecture. Using culturing experiments on four modern coccolithophore species (Calcidiscus leptoporus, Calcidiscus quadriperforatus, Helicosphaera carteri and Coccolithus braarudii) from three long-lived families, we investigate how coccosphere architecture responds to shifts from exponential (rapid cell division) to stationary (slowed cell division) growth phases as cell physiology reacts to nutrient depletion. These experiments reveal statistical differences in coccosphere size and the number of coccoliths per cell between these two growth phases, specifically that cells in exponential-phase growth are typically smaller with fewer coccoliths, whereas cells experiencing growth-limiting nutrient depletion have larger coccosphere sizes and greater numbers of coccoliths per cell. Although the exact numbers are species-specific, these growth-phase shifts in coccosphere geometry demonstrate that the core physiological responses of cells to nutrient depletion result in increased coccosphere sizes and coccoliths per cell across four different coccolithophore families (Calcidiscaceae, Coccolithaceae, Isochrysidaceae and Helicosphaeraceae), a representative diversity of this phytoplankton group. Building on this, the direct comparison of coccosphere geometries in modern and fossil coccolithophores enables a proxy for growth phase to be developed that can be used to investigate growth responses to environmental change throughout their long evolutionary history. Our data also show that changes in growth rate and coccoliths per cell associated with growth-phase shifts can substantially alter cellular calcite production. Coccosphere geometry is therefore a valuable tool for accessing growth information in the fossil record, providing unprecedented insights into the response of species to environmental change and the potential biogeochemical consequences.
When assessing global water resources with hydrological models, it is essential to know the methodological uncertainties in the water resources estimates. The study presented here quantifies effects of the uncertainty in the spatial and temporal patterns of meteorological variables on water balance components at the global, continental and grid cell scale by forcing the global hydrological model WaterGAP 2.2 (ISI-MIP 2.1) with five state-of-the-art climate forcing input data-sets. While global precipitation over land during 1971–2000 varies between 103 500 and 111 000 km3 yr−1, global river discharge varies between 39 200 and 42 200 km3 yr−1. Temporal trends of global wa- ter balance components are strongly affected by the uncertainty in the climate forcing (except human water abstractions), and there is a need for temporal homogenization of climate forcings (in particular WFD/WFDEI). On about 10–20 % of the global land area, change of river discharge between two consecutive 30 year periods was driven more strongly by changes of human water use including dam construction than by changes in precipitation. This number increases towards the end of the 20th century due to intensified human water use and dam construction. The calibration approach of WaterGAP against observed long-term average river discharge reduces the impact of climate forcing uncertainty on estimated river discharge significantly. Different homgeneous climate forcings lead to a variation of Q of only 1.6 % for the 54 % of global land area that are constrained by discharge observations, while estimated renewable water resources in the remaining uncalibrated regions vary by 18.5 %. Uncertainties are especially high in Southeast Asia where Global Runoff Data Centre (GRDC) data availability is very sparse. By sharing already available discharge data, or installing new streamflow gauging stations in such regions, water balance uncertainties could be reduced which would lead to an improved assessment of the world’s water resources.
Ice nucleating particles over the Eastern Mediterranean measured by unmanned aircraft systems
(2016)
During an intensive field campaign on aerosol, clouds and ice nucleation in the Eastern Mediterranean in April 2016, we have measured the abundance of ice nucleating particles (INP) in the lower troposphere from unmanned aircraft systems (UAS). Aerosol samples were collected by miniaturized electrostatic precipitators onboard the UAS at altitudes up to 2.5 km. The number of INP in these samples, which are active in the deposition and condensation modes at temperatures from −20 to −30 ◦C, were analyzed immediately after collection on site using the ice nucleus counter FRIDGE. During the one month campaign we encountered a series of Saharan dust plumes that traveled at several kilometers altitude. Here we present INP data from 42 individual flights, together with aerosol number concentrations, observations of lidar backscattering, dust concentrations derived by the dust transport model DREAM (Dust Regional Atmospheric Model), and results from scanning electron microscopy. The effect of the dust plumes is reflected by the coincidence of INP with the particulate mass (PM), the lidar signal and with the predicted dust mass of the model. This suggests that mineral dust or a constituent related to dust was a major contributor to the ice nucleating properties of the aerosol. Peak concentrations of above 100 INP std.l -1 were measured at −30 ◦C. The INP concentration in elevated plumes was on average a factor of 10 higher than at ground level. Since desert dust is transported for long distances over wide areas of the globe predominantly at several km altitude we conclude that INP measurements at ground level may be of limited significance for the situation at the level of cloud formation.
Mean age of stratospheric air can be derived from observations of sufficiently long-lived trace gases with approximately linear trends in the troposphere. Mean age can serve as a tracer to investigate stratospheric transport and long-term changes in the strength of the overturning Brewer–Dobson circulation of the stratosphere. For this purpose, a low-cost method is required in order to allow for regular observations up to altitudes of about 30 km. Despite the desired low costs, high precision and accuracy are required in order to determine mean age. We present balloon-borne AirCore observations from two midlatitude sites: Timmins in Ontario/Canada and Lindenberg in Germany. During the Timmins campaign, five AirCores sampled air in parallel with a large stratospheric balloon and were analysed for CO2, CH4 and partly CO. We show that there is good agreement between the different AirCores (better than 0.1 %), especially when vertical gradients are small. The measurements from Lindenberg were performed using small low-cost balloons and yielded very comparable results. We have used the observations to extend our long-term data set of mean age observations at Northern Hemisphere midlatitudes. The time series now covers more than 40 years and shows a small, statistically non-significant positive trend of 0.15 ± 0.18 years decade−1. This trend is slightly smaller than the previous estimate of 0.24 ± 0.22 years decade−1 which was based on observations up to the year 2006. These observations are still in contrast to strong negative trends of mean age as derived from some model calculations.
AirCore-HR : a high-resolution column sampling to enhance the
vertical description of CH₄ and CO₂
(2017)
An original and innovative sampling system called AirCore was presented by NOAA in 2010 (Karion et al., 2010). It consists of a long ( > 100 m) and narrow (< 1 cm) stainless steel tube that can retain a profile of atmospheric air. The captured air sample has then to be analyzed with a gas analyzer for trace mole fraction. In this study, we introduce a new AirCore aiming to improve resolution along the vertical with the objectives to (i) better capture the vertical distribution of CO2 and CH4, (ii) provide a tool to compare AirCores and validate the estimated vertical resolution achieved by AirCores. This (high-resolution) AirCore-HR consists of a 300 m tube, combining 200 m of 0.125 in. (3.175 mm) tube and a 100 m of 0.25 in. (6.35 mm) tube. This new configuration allows us to achieve a vertical resolution of 300 m up to 15 km and better than 500 m up to 22 km (if analysis of the retained sample is performed within 3 h). The AirCore-HR was flown for the first time during the annual StratoScience campaign from CNES in August 2014 from Timmins (Ontario, Canada). High-resolution vertical profiles of CO2 and CH4 up to 25 km were successfully retrieved. These profiles revealed well-defined transport structures in the troposphere (also seen in CAMS-ECMWF high-resolution forecasts of CO2 and CH4 profiles) and captured the decrease of CO2 and CH4 in the stratosphere. The multi-instrument gondola also carried two other low-resolution AirCore-GUF that allowed us to perform direct comparisons and study the underlying processing method used to convert the sample of air to greenhouse gases vertical profiles. In particular, degrading the AirCore-HR derived profiles to the low resolution of AirCore-GUF yields an excellent match between both sets of CH4 profiles and shows a good consistency in terms of vertical structures. This fully validates the theoretical vertical resolution achievable by AirCores. Concerning CO2 although a good agreement is found in terms of vertical structure, the comparison between the various AirCores yields a large and variable bias (up to almost 3 ppm in some parts of the pro- files). The reasons of this bias, possibly related to the drying agent used to dry the air, are still being investigated. Finally, the uncertainties associated with the measurements are assessed, yielding an average uncertainty below 3 ppb for CH4 and 0.25 ppm for CO2 with the major source of uncertainty coming from the potential loss of air sample on the ground and the choice of the starting and ending point of the collected air sample inside the tube. In an ideal case where the sample would be fully retained, it would be possible to know precisely the pressure at which air was sampled last and thus to improve the overall uncertainty to about 0.1 ppm for CO2 and 2 ppb for CH4
Recent analysis of long-term balloon-borne measurements of Antarctic stratospheric condensation nuclei (CN) and temperature combined with global model calculations showed the wide extent of a mid stratospheric layer of new particles. Here the nucleation model SAWNUC is used to derive Antarctic stratospheric gaseous sulfuric acid profiles and to investigate the nucleation process of this CN layer. The sulfuric acid profiles were derived for an altitude range of 18-32 km between July and October by simulating air parcel trajectories that descend inside the polar vortex and calculating the sulfuric acid amount that reproduces the observations. The derived sulfuric acid concentrations (volume mixing ratios) are of the order of magnitude of 104 cm-3 (10-14) in July. In the following months the concentrations increase to about 107 cm-3 (10 exp -11) in October. They depend strongly on the temperature because a given temperature leaves only a small sulfuric acid range to reproduce the observed magnitude of CN. Ion-induced nucleation occurs. However, while it dominates nucleation at higher temperatures it has no significant influence on the nucleation rates at lower temperatures. Preexisting particles significantly reduce nucleation at sulfuric acid mixing ratios below 1 ppt. First estimates of sulfuric acid production rates range from 0.5 to about 500 molecules cm-3 s-1. A production mechanism for gaseous sulfuric acid during the Antarctic winter seems to be necessary to fully explain the observations. The derived sulfuric acid profiles compare well with midlatitude and Arctic sulfuric acid concentrations.
Nucleation modeling of the Antarctic stratospheric CN layer and derivation of sulfuric acid profiles
(2017)
Recent analysis of long-term balloon-borne measurements of Antarctic stratospheric condensation nuclei (CN) between July and October showed the formation of a volatile CN layer at 21–27 km altitude in a background of existing particles. We use the nucleation model SAWNUC to simulate these CN in subsiding air parcels and study their nucleation and coagulation characteristics. Our simulations confirm recent analysis that the development of the CN layer can be explained with neutral sulfuric acid–water nucleation and we show that outside the CN layer the measured CN concentrations are well reproduced just considering coagulation and the subsidence of the air parcels. While ion-induced nucleation is expected as the dominating formation process at higher temperatures, it does not play a significant role during the CN layer formation as the charged clusters recombine too fast. Further, we derive sulfuric acid concentrations for the CN layer formation. Our concentrations are about 1 order of magnitude higher than previously presented concentrations as our simulations consider that nucleated clusters have to grow to CN size and can coagulate with preexisting particles. Finally, we calculate threshold sulfuric acid profiles that show which concentration of sulfuric acid is necessary for nucleation and growth to observable size. These threshold profiles should represent upper limits of the actual sulfuric acid outside the CN layer. According to our profiles, sulfuric acid concentrations seem to be below midlatitude average during Antarctic winter but above midlatitude average for the CN layer formation.
Der "Regionalatlas Rhein-Main" wird zum 75-jährigen Jubiläum der "Rhein-Mainischen Forschung" veröffentlicht. Er verfolgt das Ziel,
- einne Überblick über die regionale Struktur des Rhein-Main-Gebietes zu verschaffen,
- Politik, Wirtschaft und Verwaltung Grundlagendaten in regionalisierter Form für ihre Entscheidungen an die Hand zu geben, und
- den im Rhein-Main-Gebiet lebenden Menschen die regionalen Strukturen ihres Lebensraumes näher zu bringen.