Institution
Deutscher Wetterdienst
Facility•Offenbach, Germany•
About: Deutscher Wetterdienst is a facility organization based out in Offenbach, Germany. It is known for research contribution in the topics: Precipitation & Environmental science. The organization has 953 authors who have published 1621 publications receiving 63655 citations. The organization is also known as: DWD & German Meteorological Service.
Topics: Precipitation, Environmental science, Computer science, Numerical weather prediction, Aerosol
Papers published on a yearly basis
Papers
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TL;DR: The Global Precipitation Climatology Project (GPCP) version 2 Monthly Precise Analysis as discussed by the authors is a merged analysis that incorporates precipitation estimates from low-orbit satellite microwave data, geosynchronous-orbit-satellite infrared data, and rain gauge observations.
Abstract: The Global Precipitation Climatology Project (GPCP) Version 2 Monthly Precipitation Analysis is described. This globally complete, monthly analysis of surface precipitation at 2.5 degrees x 2.5 degrees latitude-longitude resolution is available from January 1979 to the present. It is a merged analysis that incorporates precipitation estimates from low-orbit-satellite microwave data, geosynchronous-orbit-satellite infrared data, and rain gauge observations. The merging approach utilizes the higher accuracy of the low-orbit microwave observations to calibrate, or adjust, the more frequent geosynchronous infrared observations. The data set is extended back into the premicrowave era (before 1987) by using infrared-only observations calibrated to the microwave-based analysis of the later years. The combined satellite-based product is adjusted by the raingauge analysis. This monthly analysis is the foundation for the GPCP suite of products including those at finer temporal resolution, satellite estimate, and error estimates for each field. The 23-year GPCP climatology is characterized, along with time and space variations of precipitation.
4,951 citations
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TL;DR: The Global Precipitation Climatology Project (GPCP) has released the GPCP Version 1 combined precipitation data set, a global, monthly precipitation dataset covering the period July 1987 through December 1995 as discussed by the authors.
Abstract: The Global Precipitation Climatology Project (GPCP) has released the GPCP Version 1 Combined Precipitation Data Set, a global, monthly precipitation dataset covering the period July 1987 through December 1995. The primary product in the dataset is a merged analysis incorporating precipitation estimates from low-orbit-satellite microwave data, geosynchronous-orbit-satellite infrared data, and rain gauge observations. The dataset also contains the individual input fields, a combination of the microwave and infrared satellite estimates, and error estimates for each field. The data are provided on 2.5° × 2.5° latitude-longitude global grids. Preliminary analyses show general agreement with prior studies of global precipitation and extends prior studies of El Nino-Southern Oscillation precipitation patterns. At the regional scale there are systematic differences with standard climatologies.
1,662 citations
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Royal Netherlands Meteorological Institute1, Central Institution for Meteorology and Geodynamics2, Royal Meteorological Institute3, Czech Hydrometeorological Institute4, Danish Meteorological Institute5, Finnish Meteorological Institute6, Deutscher Wetterdienst7, Hellenic National Meteorological Service8, Icelandic Meteorological Office9, Norwegian Meteorological Institute10, Instituto Português do Mar e da Atmosfera11, Environment Agency12, Swedish Meteorological and Hydrological Institute13, Stockholm University14, MeteoSwiss15, Met Office16
TL;DR: The European Climate Assessment (ECA) dataset as discussed by the authors is a dataset of daily resolution climatic time series that has been compiled for the European climate assessment (ECA), which consists of 199 series of minimum, maximum and/or daily mean temperature and 195 series of daily precipitation amount observed at meteorological stations in Europe and the Middle East.
Abstract: We present a dataset of daily resolution climatic time series that has been compiled for the European Climate Assessment (ECA). As of December 2001, this ECA dataset comprises 199 series of minimum, maximum and/or daily mean temperature and 195 series of daily precipitation amount observed at meteorological stations in Europe and the Middle East. Almost all series cover the standard normal period 1961–90, and about 50% extends back to at least 1925. Part of the dataset (90%) is made available for climate research on CDROM and through the Internet (at http://www.knmi.nl/samenw/eca). A comparison of the ECA dataset with existing gridded datasets, having monthly resolution, shows that correlation coefficients between ECA stations and nearest land grid boxes between 1946 and 1999 are higher than 0.8 for 93% of the temperature series and for 51% of the precipitation series. The overall trends in the ECA dataset are of comparable magnitude to those in the gridded datasets. The potential of the ECA dataset for climate studies is demonstrated in two examples. In the first example, it is shown that the winter (October–March) warming in Europe in the 1976–99 period is accompanied by a positive trend in the number of warm-spell days at most stations, but not by a negative trend in the number of cold-spell days. Instead, the number of cold-spell days increases over Europe. In the second example, it is shown for winter precipitation between 1946 and 1999 that positive trends in the mean amount per wet day prevail in areas that are getting drier and wetter. Because of its daily resolution, the ECA dataset enables a variety of empirical climate studies, including detailed analyses of changes in the occurrence of extremes in relation to changes in mean temperature and total precipitation. Copyright 2002 Royal Meteorological Society.
1,523 citations
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University of Giessen1, University of East Anglia2, King's College London3, Imperial College London4, University College London5, Met Office6, University of Birmingham7, University of Bonn8, Deutscher Wetterdienst9, Centre national de la recherche scientifique10, RWTH Aachen University11, University of Graz12
TL;DR: In this paper, the authors integrate perspectives from meteorologists, climatologists, statisticians, and hydrologists to identify generic end user (in particular, impact modeler) needs and to discuss downscaling capabilities and gaps.
Abstract: Precipitation downscaling improves the coarse resolution and poor representation of precipitation in global climate models and helps end users to assess the likely hydrological impacts of climate change. This paper integrates perspectives from meteorologists, climatologists, statisticians, and hydrologists to identify generic end user (in particular, impact modeler) needs and to discuss downscaling capabilities and gaps. End users need a reliable representation of precipitation intensities and temporal and spatial variability, as well as physical consistency, independent of region and season. In addition to presenting dynamical downscaling, we review perfect prognosis statistical downscaling, model output statistics, and weather generators, focusing on recent developments to improve the representation of space-time variability. Furthermore, evaluation techniques to assess downscaling skill are presented. Downscaling adds considerable value to projections from global climate models. Remaining gaps are uncertainties arising from sparse data; representation of extreme summer precipitation, subdaily precipitation, and full precipitation fields on fine scales; capturing changes in small-scale processes and their feedback on large scales; and errors inherited from the driving global climate model.
1,443 citations
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TL;DR: In this article, the Global Precipitation Climatology Centre (GPCC) at Deutscher Wetterdienst has calculated a precipitation climatology for the global land areas for the target period 1951-2000 by objective analysis of climatological normals of about 67,200 rain gauge stations from its data base.
Abstract: In 1989, the need for reliable gridded land surface precipitation data sets, in view of the large uncertainties in the assessment of the global energy and water cycle, has led to the establishment of the Global Precipitation Climatology Centre (GPCC) at Deutscher Wetterdienst on invitation of the WMO. The GPCC has calculated a precipitation climatology for the global land areas for the target period 1951–2000 by objective analysis of climatological normals of about 67,200 rain gauge stations from its data base. GPCC's new precipitation climatology is compared to several other station-based precipitation climatologies as well as to precipitation climatologies derived from the GPCP V2.2 data set and from ECMWF's model reanalyses ERA-40 and ERA-Interim. Finally, how GPCC's best estimate for terrestrial mean precipitation derived from the precipitation climatology of 786 mm per year (equivalent to a water transport of 117,000 km3) is fitting into the global water cycle context is discussed.
1,107 citations
Authors
Showing all 1008 results
Name | H-index | Papers | Citations |
---|---|---|---|
Thomas Foken | 58 | 311 | 14234 |
Jost Heintzenberg | 57 | 190 | 8587 |
Andreas Matzarakis | 52 | 308 | 11336 |
Simone Tilmes | 51 | 234 | 9639 |
Harald Berresheim | 50 | 122 | 8399 |
Holger Vömel | 48 | 166 | 7707 |
Ina Mattis | 42 | 121 | 6561 |
Johannes W. Kaiser | 39 | 135 | 10481 |
Hans Claude | 35 | 66 | 3810 |
Wolfgang A. Müller | 35 | 96 | 3183 |
C. Peralta | 34 | 53 | 6272 |
Bodo Ahrens | 34 | 127 | 3874 |
Wolfgang Steinbrecht | 33 | 93 | 3259 |
Roland Potthast | 33 | 132 | 3777 |
Holger Pohlmann | 33 | 78 | 3995 |