Improving the accuracy of short-term numerical weather forecasts for the territory of Belarus using the mesoscale WRF model and earth remote sensing data
https://doi.org/10.29235/1561-8323-2023-67-1-66-73
Abstract
The problem of improving the WRF numerical weather model performance for the territory of Belarus by assimilating the Earth remote sensing data is considered. It is shown that for the winter period, the use of satellite data of high spatial resolution, including on the structure of land use , albedo, leaf index and photosynthetically active radiation absorbed by the underlying surface can reduce a root-mean-square error of the short-term forecast (up to 48 h) of the air surface temperature by 0.53–1.11 °С. For the summer period, on the basis of numerical experiments the optimal correction factor for the land surface albedo was estimated. This made it possible to reduce a root-mean-square error of temperature forecast at the meteorological stations of Belarus for the lead time of +12, +24, +36, and +48 h by an average of 0.30 °С, 0.10 °С, 0.15 °С, and 0.16 °С, respectively.
About the Authors
S. A. Lysenko
Institute for Nature Management
of the National Academy of Sciences of Belarus
Belarus
Belarus
Lysenko Sergey A. – D. Sc. (Physical and Mathematical), Professor, Director
10, F. Skorina Str., 220076, Minsk
P. O. Zaiko
Institute for Nature Management
of the National Academy of Sciences of Belarus
Russian Federation
Russian Federation
Zaiko Polina O. – Researcher. Institute for Nature Management of the National Academy of Sciences of Belarus
10, F. Skorina Str., 220076
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