A Simplified Extended Kalman Filter assimilation of soil moisture for the SL-AV global medium-range forecast model |
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| Authors: | S V Makhnorylova M A Tolstykh |
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| Institution: | 1.Siberian Regional Research Hydrometeorological Institute,Novosibirsk,Russia;2.Hydrometeorological Research Center of the Russian Federation,Moscow,Russia;3.Institute of Numerical Mathematics,Russian Academy of Sciences,Moscow,Russia |
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| Abstract: | The implementation of the Simplified Extended Kalman Filter (SEKF) for the deep soil moisture initialization in the SL-AV global atmosphere model is described. Special attention is paid to the calculation of the observation operator and analysis increment. SL-AV screen-level parameters forecasts are estimated with SEKF and optimal interpolation initialization methods. It is demonstrated that the implementation of the assimilation algorithm improves the model forecast quality for screen-level temperature and relative humidity. |
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