Meteorological observations from the automatic weather stations Drescher and Filchner, 1991-2002, supplement to: Brüne, Markus (2002): Interpretation of data from the automatic weather stations Drescher and Filchner and Comparison with European Centre for Medium-Range Weather Forecasts (ECMWF) analysis model results. Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, Germany, 44 pp
Automatic weather stations (AWS) are due to the extreme cold conditions an attractive option to get more dens climatic data from Antarctica. These data is needed for weather forecast models or other climatic models. Data sets of the European Centre for Medium-Range Weather Forecasts (ECMWF) analysis...
Main Authors: | , |
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Format: | Article in Journal/Newspaper |
Language: | English |
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PANGAEA - Data Publisher for Earth & Environmental Science
2002
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Subjects: | |
Online Access: | https://dx.doi.org/10.1594/pangaea.872940 https://doi.pangaea.de/10.1594/PANGAEA.872940 |
Summary: | Automatic weather stations (AWS) are due to the extreme cold conditions an attractive option to get more dens climatic data from Antarctica. These data is needed for weather forecast models or other climatic models. Data sets of the European Centre for Medium-Range Weather Forecasts (ECMWF) analysis model are used for comparison with AWS in the Weddell Sea. This region if of particular interest for the BRIOS2 (Bremerhaven Regional Ice-Ocean Simulations) model which produce results related to sea ice processes, water mass modifications and circulation patterns, all leading to a better understanding of the thermohaline ocean circulation in the Southern Ocean. Therefore, observation at AWS' can be used as a validation of the ECMWF model and can reveal sources for errors for climate models using a ECMWF forcing. |
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