DocumentCode :
1357441
Title :
ERS scatterometer wind data impact on ECMWF´s tropical cyclone forecasts
Author :
Isaksen, Lars ; Stoffelen, Ad
Author_Institution :
Eur. Centre for Medium Range Weather Forecasts, Reading, UK
Volume :
38
Issue :
4
fYear :
2000
fDate :
7/1/2000 12:00:00 AM
Firstpage :
1885
Lastpage :
1892
Abstract :
This paper describes the positive impact of ERS scatterometer data on tropical cyclone analyses and forecasts at the European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, U.K. ERS scatterometer data is especially valuable because sparse genesis regions of tropical cyclones are available in the data, and they are available in cloudy and rainy conditions. In November 1997, ECMWF introduced a four-dimensional variational assimilation system (4D-Var) in operational use. This system benefits from a better utilization of ERS scatterometer wind data, ECMWF is using ERS-2 scatterometer wind data in the daily operational assimilation system. In order to understand and investigate the impact of ERS scatterometer wind data, assimilations with and without the use of scatterometer data have been performed for the most intense part of the 1995 Atlantic hurricane season. A comparison with the 1995 operational ECMWF optimum interpolation (OI) assimilation system´s performance has also been done. Both intensity and positional errors of tropical cyclones are investigated for analyses and forecasts. The 4D-Var assimilation system show´s great improvements compared to the previous OI assimilation system, and the best results are obtained when ERS scatterometer data are used in 4D-Var
Keywords :
meteorological radar; remote sensing by radar; spaceborne radar; storms; weather forecasting; 4D-Var; AD 1997 11; ECMWF; ERS scatterometer; ERS scatterometer wind data; atmosphere; data assimilation; forecast; four-dimensional variational assimilation system; meteorology; prediction; radar remote sensing; spaceborne radar; storm; tropical cyclone; weather forecasting; Data assimilation; Hurricanes; Interpolation; Meteorology; Radar measurements; Space technology; Spaceborne radar; Tropical cyclones; Weather forecasting; Wind forecasting;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.851771
Filename :
851771
Link To Document :
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