550 Geowissenschaften
Refine
Year of publication
- 2021 (85)
- 2016 (67)
- 2020 (56)
- 2019 (41)
- 2015 (40)
- 2013 (38)
- 2010 (37)
- 2011 (37)
- 2008 (35)
- 2014 (34)
- 2022 (34)
- 2009 (31)
- 2017 (29)
- 2012 (28)
- 2018 (27)
- 2005 (15)
- 2003 (14)
- 2006 (13)
- 2002 (11)
- 2007 (11)
- 2023 (9)
- 1974 (8)
- 1980 (8)
- 2024 (8)
- 1982 (7)
- 1998 (7)
- 1993 (6)
- 1995 (6)
- 1986 (5)
- 1996 (5)
- 2004 (5)
- 1891 (4)
- 1895 (4)
- 1898 (4)
- 1973 (4)
- 1981 (4)
- 1991 (4)
- 2000 (4)
- 2001 (4)
- 1885 (3)
- 1901 (3)
- 1905 (3)
- 1908 (3)
- 1979 (3)
- 1984 (3)
- 1987 (3)
- 1992 (3)
- 1999 (3)
- 1761 (2)
- 1829 (2)
- 1832 (2)
- 1877 (2)
- 1893 (2)
- 1897 (2)
- 1903 (2)
- 1911 (2)
- 1915 (2)
- 1924 (2)
- 1950 (2)
- 1964 (2)
- 1967 (2)
- 1969 (2)
- 1976 (2)
- 1977 (2)
- 1983 (2)
- 1988 (2)
- 1777 (1)
- 1785 (1)
- 1834 (1)
- 1835 (1)
- 1838 (1)
- 1839 (1)
- 1853 (1)
- 1865 (1)
- 1869 (1)
- 1872 (1)
- 1875 (1)
- 1880 (1)
- 1883 (1)
- 1889 (1)
- 1894 (1)
- 1899 (1)
- 1904 (1)
- 1907 (1)
- 1909 (1)
- 1910 (1)
- 1913 (1)
- 1914 (1)
- 1919 (1)
- 1921 (1)
- 1922 (1)
- 1925 (1)
- 1936 (1)
- 1940 (1)
- 1947 (1)
- 1958 (1)
- 1961 (1)
- 1962 (1)
- 1971 (1)
- 1978 (1)
- 1990 (1)
- 1997 (1)
Document Type
- Article (888) (remove)
Has Fulltext
- yes (888)
Keywords
- Climate change (7)
- climate change (7)
- COSMO-CLM (6)
- Atmospheric chemistry (5)
- Palaeoclimate (5)
- precipitation (5)
- Biogeochemistry (4)
- Palaeoceanography (4)
- loess (4)
- Clausius–Clapeyron scaling (3)
Institute
Global modelling of continental water storage changes : sensitivity to different climate data sets
(2007)
Since 2002, the GRACE satellite mission provides estimates of the Earth's dynamic gravity field with unprecedented accuracy. Differences between monthly gravity fields contain a clear hydrological signal due to continental water storage changes. In order to evaluate GRACE results, the state-of-the-art WaterGAP Global Hydrological Model (WGHM) is applied to calculate terrestrial water storage changes on a global scale. WGHM is driven by different climate data sets to analyse especially the influence of different precipitation data on calculated water storage. The data sets used are the CRU TS 2.1 climate data set, the GPCC Full Data Product for precipitation and data from the ECMWF integrated forecast system. A simple approach for precipitation correction is introduced. WGHM results are then compared with GRACE data. The use of different precipitation data sets leads to considerable differences in computed water storage change for a large number of river basins. Comparing model results with GRACE observations shows a good spatial correlation and also a good agreement in phase. However, seasonal variations of water storage as derived from GRACE tend to be significantly larger than those computed by WGHM, regardless of which climate data set is used.
Constructive waterfalls
(1911)
The excavation of valleys by waterfalls is one of the best known and most effective processes by which rivers cut down the surface of the earth. The influence of waterfalls is usually regarded as solely destructive, and as always helping to lower the land. They undermine and cut backward the rock faces over which they fall : by this recession they excavate deep gorges ; and the existence of these gorges enables the adjacent country to be lowered to the level of the valIey floors. The waterfalls, moreover, empty any lakes they rnay reach in their retreat, while the ravines below the falls may drain the springs and thus desiccate the neighbouring hihlands. Observations in various countries had suggested to me that waterfalls may sometimes be constructive in stead of destructive, and that they may reserse their usual procedure, advancing instead of retreating, filling valleys instead of excavating them, and forrning alluvial plains and lakes instead of destroying them. The best illustrations I have seen of such advancing, constructive waterfalls are on some rivers of Dalmatia and Bosnia, where they occur in various stages of development. ...
Tropische Korallenriffe sind die artenreichsten Ökosysteme im Ozean. Die »tropischen Regenwälder der Meere« beherbergen zirka 800 Korallenarten und mehrere zehntausend Arten aus fast allen bekannten Tierstämmen. Korallenriffe bedecken weltweit eine Fläche von 600.000 Quadratkilometern, das sind 0,17 Prozent der Erdoberfläche. Sie treten als nahe der Küste gelegene Saumriffe, küstenfernere Barriereriffe, ringförmige Atolle und flache Karbonat-Plattformen auf . Der Begriff »Karbonat« weist darauf hin, dass Korallen als Riffbildner ein Skelett aus Kalk haben. Auch Kalkalgen und Weichtiere wie Muscheln und Schnecken sind durch die Bildung von Kalkskeletten und Kalkschalen am Riffaufbau beteiligt. Da tropische Korallenriffe nur in der Nähe der Meeresoberfläche wachsen, können Geowissenschaftler mit Hilfe fossiler Korallenfunde ermitteln, wie sich der Pegel des Meeresspiegels in vergangenen Jahrtausenden entwickelt hat. Auch andere wichtige Klimadaten wie Wassertemperatur, Sonneneinstrahlung und Kohlendioxid-Gehalt der Atmosphäre sind in Korallenriffen »gespeichert«. Frankfurter Geowissenschaftler erschließen diese wichtigen Daten, die weit vor menschliche Messungen zurückreichen, durch systematische Bohrungen in Korallenriffen der Karibik, des Persischen Golfs und der Malediven.
Spatial interpolation of precipitation data is uncertain. How important is this uncertainty and how can it be considered in evaluation of high-resolution probabilistic precipitation forecasts? These questions are discussed by experimental evaluation of the COSMO consortium's limited-area ensemble prediction system COSMO-LEPS. The applied performance measure is the often used Brier skill score (BSS). The observational references in the evaluation are (a) analyzed rain gauge data by ordinary Kriging and (b) ensembles of interpolated rain gauge data by stochastic simulation. This permits the consideration of either a deterministic reference (the event is observed or not with 100% certainty) or a probabilistic reference that makes allowance for uncertainties in spatial averaging. The evaluation experiments show that the evaluation uncertainties are substantial even for the large area (41 300 km2) of Switzerland with a mean rain gauge distance as good as 7 km: the one- to three-day precipitation forecasts have skill decreasing with forecast lead time but the one- and two-day forecast performances differ not significantly.
Mechanisms by which subvisible cirrus clouds (SVCs) might contribute to dehydration close to the tropical tropopause are not well understood. Recently Ultrathin Tropical Tropopause Clouds (UTTCs) with optical depths around 10-4 have been detected in the western Indian ocean. These clouds cover thousands of square kilometers as 200-300 m thick distinct and homogeneous layer just below the tropical tropopause. In their condensed phase UTTCs contain only 1-5% of the total water, and essentially no nitric acid. A new cloud stabilization mechanism is required to explain this small fraction of the condensed water content in the clouds and their small vertical thickness. This work suggests a mechanism, which forces the particles into a thin layer, based on upwelling of the air of some mm/s to balance the ice particles, supersaturation with respect to ice above and subsaturation below the UTTC. In situ measurements suggest that these requirements are fulfilled. The basic physical properties of this mechanism are explored by means of a single particle model. Comprehensive 1-D cloud simulations demonstrate this stabilization mechanism to be robust against rapid temperature fluctuations of +/- 0.5 K. However, rapid warming (Delta T > 2 K) leads to evaporation of the UTTC, while rapid cooling (Delta T < -2 K) leads to destabilization of the particles with the potential for significant dehydration below the cloud
Measurements of OH, total peroxy radicals, non-methane hydrocarbons (NMHCs) and various other trace gases were made at the Meteorological Observatory Hohenpeissenberg in June 2000. The data from an intensive measurement period characterised by high solar insolation (18-21 June) are analysed. The maximum midday OH concentration ranged between 4.5x106 molecules cm-3 and 7.4x106 molecules cm-3. The maximum total ROx (ROx =OH+RO+HO2+RO2) mixing ratio increased from about 55 pptv on 18 June to nearly 70 pptv on 20 and 21 June. A total of 64 NMHCs, including isoprene and monoterpenes, were measured every 1 to 6 hours. The oxidation rate of the NMHCs by OH was calculated and reached a total of over 14x106 molecules cm-3 s-1 on two days. A simple photostationary state balance model was used to simulate the ambient OH and peroxy radical concentrations with the measured data as input. This approach was able to reproduce the main features of the diurnal profiles of both OH and peroxy radicals. The balance equations were used to test the effect of the assumptions made in this model. The results proved to be most sensitive to assumptions about the impact of unmeasured volatile organic compounds (VOC), e.g. formaldehyde (HCHO), and about the partitioning between HO2 and RO2. The measured OH concentration and peroxy radical mixing ratios were reproduced well by assuming the presence of 3 ppbv HCHO as a proxy for oxygenated hydrocarbons, and a HO2/ RO2 ratio between 1:1 and 1:2. The most important source of OH, and conversely the greatest sink for peroxy radicals, was the recycling of HO2 radicals to OH. This reaction was responsible for the recycling of more than 45x106 molecules cm-3 s-1 on two days. The most important sink for OH, and the largest source of peroxy radicals, was the oxidation of NMHCs, in particular, of isoprene and the monoterpenes.
Subvisible cirrus clouds (SVCs) may contribute to dehydration close to the tropical tropopause. The higher and colder SVCs and the larger their ice crystals, the more likely they represent the last efficient point of contact of the gas phase with the ice phase and, hence, the last dehydrating step, before the air enters the stratosphere. The first simultaneous in situ and remote sensing measurements of SVCs were taken during the APE-THESEO campaign in the western Indian ocean in February/March 1999. The observed clouds, termed Ultrathin Tropical Tropopause Clouds (UTTCs), belong to the geometrically and optically thinnest large-scale clouds in the Earth´s atmosphere. Individual UTTCs may exist for many hours as an only 200--300 m thick cloud layer just a few hundred meters below the tropical cold point tropopause, covering up to 105 km2. With temperatures as low as 181 K these clouds are prime representatives for defining the water mixing ratio of air entering the lower stratosphere.
We have used the SLIMCAT 3-D off-line chemical transport model (CTM) to quantify the Arctic chemical ozone loss in the year 2002/2003 and compare it with similar calculations for the winters 1999/2000 and 2003/2004. Recent changes to the CTM have improved the model's ability to reproduce polar chemical and dynamical processes. The updated CTM uses σ-θ as a vertical coordinate which allows it to extend down to the surface. The CTM has a detailed stratospheric chemistry scheme and now includes a simple NAT-based denitrification scheme in the stratosphere.
In the model runs presented here the model was forced by ECMWF ERA40 and operational analyses. The model used 24 levels extending from the surface to ~55km and a horizontal resolution of either 7.5° x 7.5° or 2.8° x 2.8°. Two different radiation schemes, MIDRAD and the CCM scheme, were used to diagnose the vertical motion in the stratosphere. Based on tracer observations from balloons and aircraft, the more sophisticated CCM scheme gives a better representation of the vertical transport in this model which includes the troposphere. The higher resolution model generally produces larger chemical O3 depletion, which agrees better with observations.
The CTM results show that very early chemical ozone loss occurred in December 2002 due to extremely low temperatures and early chlorine activation in the lower stratosphere. Thus, chemical loss in this winter started earlier than in the other two winters studied here. In 2002/2003 the local polar ozone loss in the lower stratosphere was ~40% before the stratospheric final warming. Larger ozone loss occurred in the cold year 1999/2000 which had a persistently cold and stable vortex during most of the winter. For this winter the current model, at a resolution of 2.8° x 2.8°, can reproduce the observed loss of over 70% locally. In the warm and more disturbed winter 2003/2004 the chemical O3 loss was generally much smaller, except above 620K where large losses occurred due to a period of very low minimum temperatures at these altitudes.