SOLA
Online ISSN : 1349-6476
ISSN-L : 1349-6476
Assimilation of Precipitation Data to the JMA Mesoscale Model with a Four-dimensional Variational Method and its Impact on Precipitation Forecasts
Ko KoizumiYoshihiro IshikawaTadashi Tsuyuki
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Supplementary material

2005 Volume 1 Pages 45-48

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Abstract

Two sets of forecast-analysis cycle experiments were performed with and without direct assimilation of precipitation amounts using JMA mesoscale four-dimensional variational data assimilation system (Meso4D-Var). With a devised cost function of precipitation observation, which is derived from the exponential distribution, Meso 4D-Var successfully assimilated precipitation data in various weather situations throughout a one-month experiment period. The result of experiments shows that the precipitation assimilation by Meso 4D-Var improves the model forecasts of both weak and moderate precipitation and it ameliorates a spin-up problem of the model precipitation.

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© 2005 by the Meteorological Society of Japan
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