ECMWF's Global Snow Analysis: Assessment and Revision Based on Satellite ObservationsSource: Journal of Applied Meteorology:;2004:;volume( 043 ):;issue: 009::page 1282DOI: 10.1175/1520-0450(2004)043<1282:EGSAAA>2.0.CO;2Publisher: American Meteorological Society
Abstract: Snow water equivalent and snow extent are key parameters for the earth's energy and water budget. In this study, the current operational snow-depth analysis (2D spatial Cressman interpolation) at the European Centre for Medium-Range Weather Forecasts (ECMWF), which relies on real-time observations of snow depth, the short-range forecast, and snow-depth climatic data, is presented. The operational product is compared with satellite-derived snow cover. It is found that the total area of grid boxes affected by snow is approximately 10% larger in the analysis than in the National Oceanic and Atmospheric Administration National Environmental Satellite, Data, and Information Service (NOAA/NESDIS) snow-extent product. The differences are persistent in time and space and cover the entire Northern Hemisphere. They comprise areas with intermittent and/or patchy snow cover, for example, the Tibetan Plateau, the edges of snow fields, and areas with a low density of observations, which are difficult to capture in the current operational analysis. A modified snow analysis is presented, in which the operational NESDIS snow product is incorporated. The current analysis and the revised analysis are compared with high-resolution snow-cover datasets derived from the Moderate-Resolution Imaging Spectroradiometer (MODIS) and independent ground-based snow-depth observations from the Meteorological Service of Canada. Using the NOAA/NESDIS snow-extent dataset in the operational analysis leads to a more realistic description of the actual snow extent.
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| contributor author | Drusch, Matthias | |
| contributor author | Vasiljevic, Drasko | |
| contributor author | Viterbo, Pedro | |
| date accessioned | 2017-06-09T14:09:16Z | |
| date available | 2017-06-09T14:09:16Z | |
| date copyright | 2004/09/01 | |
| date issued | 2004 | |
| identifier issn | 0894-8763 | |
| identifier other | ams-13403.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4148850 | |
| description abstract | Snow water equivalent and snow extent are key parameters for the earth's energy and water budget. In this study, the current operational snow-depth analysis (2D spatial Cressman interpolation) at the European Centre for Medium-Range Weather Forecasts (ECMWF), which relies on real-time observations of snow depth, the short-range forecast, and snow-depth climatic data, is presented. The operational product is compared with satellite-derived snow cover. It is found that the total area of grid boxes affected by snow is approximately 10% larger in the analysis than in the National Oceanic and Atmospheric Administration National Environmental Satellite, Data, and Information Service (NOAA/NESDIS) snow-extent product. The differences are persistent in time and space and cover the entire Northern Hemisphere. They comprise areas with intermittent and/or patchy snow cover, for example, the Tibetan Plateau, the edges of snow fields, and areas with a low density of observations, which are difficult to capture in the current operational analysis. A modified snow analysis is presented, in which the operational NESDIS snow product is incorporated. The current analysis and the revised analysis are compared with high-resolution snow-cover datasets derived from the Moderate-Resolution Imaging Spectroradiometer (MODIS) and independent ground-based snow-depth observations from the Meteorological Service of Canada. Using the NOAA/NESDIS snow-extent dataset in the operational analysis leads to a more realistic description of the actual snow extent. | |
| publisher | American Meteorological Society | |
| title | ECMWF's Global Snow Analysis: Assessment and Revision Based on Satellite Observations | |
| type | Journal Paper | |
| journal volume | 43 | |
| journal issue | 9 | |
| journal title | Journal of Applied Meteorology | |
| identifier doi | 10.1175/1520-0450(2004)043<1282:EGSAAA>2.0.CO;2 | |
| journal fristpage | 1282 | |
| journal lastpage | 1294 | |
| tree | Journal of Applied Meteorology:;2004:;volume( 043 ):;issue: 009 | |
| contenttype | Fulltext |