• 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