Investigate the impacts of assimilating satellite rainfall estimates on rainstorm forecast over southwest United States

Details Investigate the impacts of assimilating satellite rainfall estimates on rainstorm forecast over southwest United States Investigate the impacts of assimilating satellite rainfall estimates on rainstorm forecast over southwest United States

Aug 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004georl..3116104x&link_type=abstract

Geophysical Research Letters, Volume 31, Issue 16, CiteID L16104

Physics

1

Ionosphere: Modeling And Forecasting, Meteorology And Atmospheric Dynamics: Numerical Modeling And Data Assimilation, Meteorology And Atmospheric Dynamics: Precipitation (1854), Meteorology And Atmospheric Dynamics: Remote Sensing, Meteorology And Atmospheric Dynamics: Mesoscale Meteorology

Scientific paper

Using the MM5-4DVAR system, a monsoon rainstorm case over southern Arizona (5-6 August 2002) was investigated for the influence of assimilating satellite rainfall estimates on precipitation forecasts. A set of numerical experiments was conducted with multiple configurations including using 20-km or 30-km grid distances and none or 3-h or 6-h assimilation time windows. Results show that satellite rainfall assimilation can improve the rainstorm-forecasting pattern and amount to some extent. The minimization procedure of 4DVAR is sensitive to model spatial resolution and the assimilation time window. The 3-h assimilation window with hourly rainfall data works well for the 6-h forecast, and for 12-h or longer forecasts, a 6-h assimilation window will be requested.

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