Geowissenschaften
Refine
Year of publication
- 2016 (80)
- 2010 (59)
- 2014 (53)
- 2015 (53)
- 2008 (52)
- 2011 (52)
- 2009 (48)
- 2013 (46)
- 2020 (46)
- 2019 (45)
- 2017 (35)
- 2012 (33)
- 2005 (27)
- 2018 (27)
- 2007 (25)
- 2021 (22)
- 2003 (20)
- 2006 (19)
- 2002 (17)
- 2023 (17)
- 2022 (16)
- 2001 (13)
- 2004 (13)
- 2024 (11)
- 2000 (7)
- 1998 (5)
- 1999 (5)
- 1913 (2)
- 1914 (2)
- 1919 (2)
- 1976 (2)
- 1907 (1)
- 1909 (1)
- 1918 (1)
- 1920 (1)
- 1921 (1)
- 1922 (1)
- 1925 (1)
- 1964 (1)
- 1969 (1)
- 1971 (1)
- 1973 (1)
- 1974 (1)
- 1978 (1)
- 1980 (1)
- 1990 (1)
- 1995 (1)
- 1996 (1)
- 1997 (1)
Document Type
- Article (593)
- Doctoral Thesis (139)
- Book (25)
- Contribution to a Periodical (21)
- Conference Proceeding (19)
- Working Paper (19)
- Part of Periodical (10)
- Diploma Thesis (8)
- diplomthesis (7)
- Preprint (6)
Is part of the Bibliography
- no (872)
Keywords
- climate change (13)
- Climate change (5)
- Geochemistry (5)
- Klimaänderung (5)
- Atmospheric chemistry (4)
- Boden (4)
- Deutschland (4)
- Klima (4)
- Modellierung (4)
- Stratosphäre (4)
Institute
- Geowissenschaften (872)
- Senckenbergische Naturforschende Gesellschaft (59)
- Präsidium (49)
- Biodiversität und Klima Forschungszentrum (BiK-F) (45)
- Geographie (26)
- Biowissenschaften (15)
- Medizin (11)
- Physik (7)
- Institut für Ökologie, Evolution und Diversität (6)
- Biochemie und Chemie (5)
This paper compares measurements of gaseous and particulate emissions from a wide range of biomass-burning plumes intercepted by the NASA DC-8 research aircraft during the three phases of the ARCTAS-2008 experiment: ARCTAS-A, based out of Fairbanks, Alaska USA (3 April to 19 April 2008); ARCTAS-B based out of Cold Lake, Alberta, Canada (29 June to 13 July 2008); and ARCTAS-CARB, based out of Palmdale, California, USA (18 June to 24 June 2008). Extensive investigations of boreal fire plume evolution were undertaken during ARCTAS-B, where four distinct fire plumes that were intercepted by the aircraft over a range of down-wind distances (0.1 to 16 hr transport times) were studied in detail. Based on these analyses, there was no evidence for ozone production and a box model simulation of the data confirmed that net ozone production was slow (on average 1 ppbv h−1 in the first 3 h and much lower afterwards) due to limited NOx. Peroxyacetyl nitrate concentrations (PAN) increased with plume age and the box model estimated an average production rate of ~80 pptv h−1 in the first 3 h. Like ozone, there was also no evidence for net secondary inorganic or organic aerosol formation. There was no apparent increase in aerosol mass concentrations in the boreal fire plumes due to secondary organic aerosol (SOA) formation; however, there were indications of chemical processing of the organic aerosols. In addition to the detailed studies of boreal fire plume evolution, about 500 smoke plumes intercepted by the NASA DC-8 aircraft were segregated by fire source region. The normalized excess mixing ratios (i.e. ΔX/ΔCO) of gaseous (carbon dioxide, acetonitrile, hydrogen cyanide, toluene, benzene, methane, oxides of nitrogen (NOx), ozone, PAN) and fine aerosol particulate components (nitrate, sulfate, ammonium, chloride, organic aerosols and water soluble organic carbon) of these plumes were compared.
We present the application of time-of-flight mass spectrometry (TOF MS) for the analysis of halocarbons in the atmosphere after cryogenic sample preconcentration and gas chromatographic separation. For the described field of application, the quadrupole mass spectrometer (QP MS) is a state-of-the-art detector. This work aims at comparing two commercially available instruments, a QP MS and a TOF MS, with respect to mass resolution, mass accuracy, stability of the mass axis and instrument sensitivity, detector sensitivity, measurement precision and detector linearity. Both mass spectrometers are operated on the same gas chromatographic system by splitting the column effluent to both detectors. The QP MS had to be operated in optimised single ion monitoring (SIM) mode to achieve a sensitivity which could compete with the TOF MS. The TOF MS provided full mass range information in any acquired mass spectrum without losing sensitivity. Whilst the QP MS showed the performance already achieved in earlier tests, the sensitivity of the TOF MS was on average higher than that of the QP MS in the "operational" SIM mode by a factor of up to 3, reaching detection limits of less than 0.2 pg. Measurement precision determined for the whole analytical system was up to 0.2% depending on substance and sampled volume. The TOF MS instrument used for this study displayed significant non-linearities of up to 10% for two-thirds of all analysed substances.
This paper compares measurements of gaseous and particulate emissions from a wide range of biomass-burning plumes intercepted by the NASA DC-8 research aircraft during the three phases of the ARCTAS-2008 experiment: ARCTAS-A, based out of Fairbanks, Alaska, USA (3 April to 19 April 2008); ARCTAS-B based out of Cold Lake, Alberta, Canada (29 June to 13 July 2008); and ARCTAS-CARB, based out of Palmdale, California, USA (18 June to 24 June 2008). Approximately 500 smoke plumes from biomass burning emissions that varied in age from minutes to days were segregated by fire source region and urban emission influences. The normalized excess mixing ratios (NEMR) of gaseous (carbon dioxide, acetonitrile, hydrogen cyanide, toluene, benzene, methane, oxides of nitrogen and ozone) and fine aerosol particulate components (nitrate, sulfate, ammonium, chloride, organic aerosols and water soluble organic carbon) of these plumes were compared. A detailed statistical analysis of the different plume categories for different gaseous and aerosol species is presented in this paper.
The comparison of NEMR values showed that CH4 concentrations were higher in air-masses that were influenced by urban emissions. Fresh biomass burning plumes mixed with urban emissions showed a higher degree of oxidative processing in comparison with fresh biomass burning only plumes. This was evident in higher concentrations of inorganic aerosol components such as sulfate, nitrate and ammonium, but not reflected in the organic components. Lower NOx NEMRs combined with high sulfate, nitrate and ammonium NEMRs in aerosols of plumes subject to long-range transport, when comparing all plume categories, provided evidence of advanced processing of these plumes.
Comparing projections of future changes in runoff from hydrological and biome models in ISI-MIP
(2013)
Future changes in runoff can have important implications for water resources and flooding. In this study, runoff projections from ISI-MIP (Inter-sectoral Impact Model Intercomparison Project) simulations forced with HadGEM2-ES bias-corrected climate data under the Representative Concentration Pathway 8.5 have been analysed for differences between impact models. Projections of change from a baseline period (1981–2010) to the future (2070–2099) from 12 impacts models which contributed to the hydrological and biomes sectors of ISI-MIP were studied. The biome models differed from the hydrological models by the inclusion of CO2 impacts and most also included a dynamic vegetation distribution. The biome and hydrological models agreed on the sign of runoff change for most regions of the world. However, in West Africa, the hydrological models projected drying, and the biome models a moistening. The biome models tended to produce larger increases and smaller decreases in regionally averaged runoff than the hydrological models, although there is large inter-model spread. The timing of runoff change was similar, but there were differences in magnitude, particularly at peak runoff. The impact of vegetation distribution change was much smaller than the projected change over time, while elevated CO2 had an effect as large as the magnitude of change over time projected by some models in some regions. The effect of CO2 on runoff was not consistent across the models, with two models showing increases and two decreases. There was also more spread in projections from the runs with elevated CO2 than with constant CO2. The biome models which gave increased runoff from elevated CO2 were also those which differed most from the hydrological models. Spatially, regions with most difference between model types tended to be projected to have most effect from elevated CO2, and seasonal differences were also similar, so elevated CO2 can partly explain the differences between hydrological and biome model runoff change projections. Therefore, this shows that a range of impact models should be considered to give the full range of uncertainty in impacts studies.
Projections of future changes in runoff can have important implications for water resources and flooding. In this study, runoff projections from ISI-MIP (Inter-sectoral Impact Model Intercomparison Project) simulations forced with HadGEM2-ES bias-corrected climate data under the Representative Concentration Pathway 8.5 have been analysed. Projections of change from the baseline period (1981–2010) to the future (2070–2099) from a number of different ecosystems and hydrological models were studied. The differences between projections from the two types of model were looked at globally and regionally. Typically, across different regions the ecosystem models tended to project larger increases and smaller decreases in runoff than the hydrological models. However, the differences varied both regionally and seasonally. Sensitivity experiments were also used to investigate the contributions of varying CO2 and allowing vegetation distribution to evolve on projected changes in runoff. In two out of four models which had data available from CO2 sensitivity experiments, allowing CO2 to vary was found to increase runoff more than keeping CO2 constant, while in two models runoff decreased. This suggests more uncertainty in runoff responses to elevated CO2 than previously considered. As CO2 effects on evapotranspiration via stomatal conductance and leaf-area index are more commonly included in ecosystems models than in hydrological models, this may partially explain some of the difference between model types. Keeping the vegetation distribution static in JULES runs had much less effect on runoff projections than varying CO2, but this may be more pronounced if looked at over a longer timescale as vegetation changes may take longer to reach a new state.
During this study clumped isotope analysis of carbonates was established at the Goethe University of Frankfurt, Germany. Therefore, preparation protocols and analytical parameters were elaborated to obtain precise and accurate Δ47 data. Briefly, analyte CO2 was cleaned cryogenically using glass extraction lines to remove traces of water that enable re-equilibration of C–O bonds in the gases. Furthermore, analyte CO2 was passed through a gas chromatograph (GC) to clean it from contaminants that produce isobaric interferences with m/z 47. Initially, phosphoric acid digestions of carbonates was conducted at 25 °C in McCrea-type reaction vessels. Afterwards samples were reacted at 90 °C using a common acid bath. Mass spectrometric analyses were performed using a MAT 253 equipped with a dual inlet system. Δ47 values were directly projected to the absolute scale using CO2 gases equilibrated at distinct temperatures.
In cooperation with Stefano Bernasconi and his research group at ETH Zurich we studied the non-linearity that occurs for the measurement of m/z 47. This effect results from secondary electrons created by the m/z 44 beam. These electrons cause a negative background on the m/z 47 collector. A correction procedure was proposed that relies on the determination of the negative background on the m/z 47 Faraday cup. This approach might reduce time-consuming analyses of heated gases which were used so far to account for the observed non-linearity. However, the suggested correction of the negative background on the m/z 47 cup is only applicable if the slit width of the m/z 44 beam is significantly wider than that of the m/z 47 beam.
This thesis, furthermore, presents a comparison of the different phosphoric acid digestion techniques which are commonly used for carbonate clumped isotope analysis. For calcitic and aragonitic material digested at 25 °C in McCrea-type vessels we observed that the sample size has an effect on Δ47 data: higher mean Δ47 values and a larger scatter of data were received for samples <7 mg than for larger aliquots. For carbonate samples digested at 90 °C in a common acid bath no sample size effect was determined. We assume that secondary re-equilibration of CO2 with water preferentially occurs at 25 °C producing the observed differences. However, a sample size effect can be avoided if reaction temperature is increased to 90 °C.
In order to make carbonate Δ47 data obtained from acid digestions at 90 °C comparable to Δ47 data received from reactions at 25 °C the difference of the acid fractionation factores (Δ47*25-90) between both temperatures has to be known. For the determination of the Δ47*25-90 value we have considered Δ47 data made at 25 °C from samples >7 mg only. For calicte and aragonite we obtained differences in fractionation factores of 0.075‰ and 0.066‰, respectively. These Δ47*25-90 values are coincident with the theoretical prediction of 0.069‰ proposed for calcite (Guo et al., 2009).
Moreover, this dissertation comprises a calibration study of the clumped isotope thermometer based on various natural calcites that grew between 9 and 38 °C. The samples include a brachiopod shell, a bivalve shell, an eggshell of an ostrich and foraminifera tests which formed from distinct biomineralizing processes. Furthermore we included an authigenic carbonate crystallized from biological-induced precipitation. The following linear relationship between 1/T2 and Δ47 was determined (with Δ47 in ‰ and T in K):
Δ47 = 0.0327 (± 0.0026) x 106 / T2 + 0.3030 (± 0.0308) (R2 = 0.9915)
This equation differs from the pioneering Ghosh et al. (2006a) calibration. However, our regression line is statistically indistinguishable from that of Henkes et al. (2013) which is based on aragonitic mollusks and calcitic brachiopod shells. Both studies have in common that calibration data were, at first, directly referenced to the absolute scale. In addition, both datasets rely on similar digestion techniques. Furthermore, the two calibrations are conform with the theoretical prediction of Guo et al. (2009).
The calcite calibration of the clumped isotope paleothermometer received in this study was applied to Δ47 data measured for Silurian brachiopods shells from Gotland/Sweden. Prior to isotopic analysis the fossils were intensively investigated for their preservation state (CL, SEM, trace elements). The lowest T(Δ47) values of ca. 28 to 33 °C were estimated from ultrastructurally well-preserved regions of some shells. For these samples also the lowest δ18Ow values of Silurian seawater were determined. These estimates of ca. −1‰ confirm the assumption that the δ18O value of the Silurian ocean was buffered to (0 ± 1)‰.
Nevertheless, most studied shells were characterized by a patchwork of pristine and altered shell portions resulting in elevated T(Δ47) values which plot mostly between 40 and 60 °C. Our results indicate that the clumped isotopic composition of the shells were altered at low water-rock ratios, not affecting the δ18O values. Δ47 and δ18O data of associated diagenetic phases (sparitic and micritic phases of the inner fillings of the fossils) provide evidence that the sparitic cements grew during several diagenetic events which occurred at different temperatures in fluid-buffered systems. We, furthermore, conclude that the micritic phases lithified at a very early diagenetic stage with the δ18O values being most probably close to a Silurian seawater composition
Climatology of morphology and cloud-radiative properties of marine low-level mixed-phase clouds
(2023)
Marine stratocumuli cover about 40 - 60% of the ocean surface. They self-organize into different morphological regimes. The two organized cellular regimes are called open and closed mesoscale-cellular convective (MCC) clouds. In mid-to-high latitudes, open and closed cells are the two most frequent types of MCC clouds. In particular, many MCC clouds consist of a mixture of vapor, liquid droplets, and ice particles, referred to as mixed-phase clouds (MPCs). Even for the same cloud fraction, the albedo of open cells is, on average, lower than that of closed MCC clouds. Cloud phase and morphology individually influence the cloud radiative effect. Thus, this thesis investigates the relationships between the cloud phase, MCC organization, cell size, and differences regarding the cloud-radiative effect.
This thesis focuses on space-borne retrievals to achieve extensive temporal and spatial coverage. The liDAR-raDAR (DARDAR) version 2 product collocates two active and one passive satellite: CloudSat, Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), and Moderate Resolution Imaging Spectroradiometer (MODIS). The cloud phase of DARDAR is vertically integrated to establish a single cloud phase at each data point. The MCC classification data set based on the liquid water path (LWP) of MODIS scenes is collocated with the DARDAR product to determine the MCC organization. Cell-size statistics of both MCC clouds are obtained using a marker-based image segmentation method on MODIS reflectance scenes. In addition, based on MODIS reflectance scenes, a convolutional neural network (CNN) is developed to classify open and closed MCC scenes to avoid missing mature MPCs with a low LWP.
The first part of this thesis explores the relationships between cloud phase, morphology, and cloud albedo in the Southern Ocean (SO). At a given cloud-top temperature (CTT), seasonal changes in the mixed-phase fraction, defined as the number of MPCs divided by the sum of MPC and supercooled liquid cloud (SLC) pixels, are stronger than the morphological changes. Therefore, external factors seem to influence these changes instead of morphology. The dependence of cloud phase on cloud-top height (CTH) is more substantial than on CTT in clouds with CTHs below 2.5 km. The previously observed acceleration of closed-to-open transition in MPCs, known as preconditioning, is not the primary driver of climatological cloud morphology statistics in the SO. The morphological differences in cloud albedo are more pronounced in SLCs than in MPCs. This change in albedo alters the cloud radiative effect in the SO by 21Wm−2 to 39Wm−2 depending onseason and cloud phase.
Open and closed MCC clouds exhibit larger equivalent cell diameters in the MPCs than in SLCs in austral summer, whereas, in austral winter, the SLCs are larger. The cell’s aspect ratio accounts for varying CTHs. Closed cells have smaller aspect ratios than open cells, so their cell diameter is smaller, independent of CTH. While the seasonal differences in closed cells are due to changes in CTH, the seasonal aspect ratio differences in open cells are mainly caused by MPCs. With increasing aspect ratios, the cloud albedo decreases in both open and closed MCC clouds, with the most substantial decrease in open MPCs clouds. This leads to cloud-radiative changes of 60 - 75Wm−2 in the SO, depending on cloud phase and aspect ratio.
The established CNN exhibits a good accuracy of 80.6%, with even higher accuracies in the Open (85.5%) and Closed (87.3%) categories. The global MCC climatology based on the CNN generally agrees well with previous MCC distributions. The most notable difference occurs in the Northern Hemisphere (NH) in boreal winter, with a higher occurrence frequency of closed and open MCC clouds. This might indicate missing MPCs in previous studies based on the LWP and some restricted to warm cloud scenes. Thus, the developed CNN seems to better represent the different morphologies in MPCs than in previous classifications.
In conclusion, this thesis shows that understanding the dependencies of cloud phase, cloud morphology, and cell size is important to enhance predictions of the cloud-radiative effect and thus, it is important to evaluate how cloud phase, cloud morphology, and cellsize change in a warming climate.
Aim: Plant life‐forms characterize key morphological strategies that enable large‐scale comparisons of plant communities. This study applies Raunkiær's plant life‐form concept that was developed for temperate climate to a subtropical island flora, in parts, dominated by summer aridity. We quantify how plant life‐form patterns as well as patterns of important plant functional traits (PFTs) relate to important climate and topographic characteristics.
Location: La Palma, Canary Islands.
Taxon: Flora of La Palma.
Methods: We assigned each native plant species a plant life‐form, that is, phanerophyte, chamaephyte, hemicryptophyte, geophyte and therophyte, as well as PFTs (succulence and N‐fixer). We used stacked species distribution models to assess occurrence probability for each species using the Atlantis database (500 m × 500 m grid). We related richness and percentage values for each plant life‐form and PFT to climate and topography.
Results: Plant life‐forms and PFTs showed a clear pattern within geographic but also climate space, while topography had a minor effect. Phanerophytes mainly contributed to the flora in humid areas. Chamaephytes and hemicryptophytes most strongly contributed to the summit scrub flora and, to some degree, also to the arid coastal regions. Geophytes and therophytes were mainly found in dry coastal regions. N‐fixers contributed mainly to warm‐arid and cool‐arid regions, while succulent species were mainly found in arid coastal regions.
Main conclusions: Raunkiær's plant life‐form concept can be comprehensively transferred to a subtropical island flora by adapting to local unfavourable growing conditions, that is, aridity. Using the strong environmental gradients offered by our study island, we identify substantial climate‐driven variation in patterns of plant life‐forms and PFTs that might be used for large‐scale comparisons in macroecological studies. The growth strategies reflected in Raunkiær's plant life‐forms suggest differences in species establishment and coexistence dynamics within different parts of the island's climate space.
Ongoing climate change is a major threat to biodiversity and impacts on species distributions and abundances are already evident. Heterogenous responses of species due to varying abiotic tolerances and dispersal abilities have the potential to further amplify or ameliorate these impacts through changes in species assemblages. Here we investigate the impacts of climate change on terrestrial bird distributions and, subsequently, on species richness as well as on different aspects of phylogenetic diversity of species assemblages across the globe. We go beyond previous work by disentangling the potential impacts on assemblage phylogenetic diversity of species gains vs. losses under climate change and compare the projected impacts to randomized assemblage changes.
We show that climate change might not only affect species numbers and composition of global species assemblages but could also have profound impacts on assemblage phylogenetic diversity, which, across extensive areas, differ significantly from random changes. Both the projected impacts on phylogenetic diversity and on phylogenetic structure vary greatly across the globe. Projected increases in the evolutionary history contained within species assemblages, associated with either increasing phylogenetic diversification or clustering, are most frequent at high northern latitudes. By contrast, projected declines in evolutionary history, associated with increasing phylogenetic over-dispersion or homogenisation, are projected across all continents.
The projected widespread changes in the phylogenetic structure of species assemblages show that changes in species richness do not fully reflect the potential threat from climate change to ecosystems. Our results indicate that the most severe changes to the phylogenetic diversity and structure of species assemblages are likely to be caused by species range shifts rather than range reductions and extinctions. Our findings highlight the importance of considering diverse measures in climate impact assessments and the value of integrating species-specific responses into assessments of entire community changes.