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Article information
2008 , Volume 13, Special issue, p.111-116
Bogoslovskii N.N., Tolstykh M.A., Shlyaeva A.V.
Data assimilation for surface and soil variables in the global semi-Lagrangian NWP model
This paper considers the data assimilation schemes for the surface temperature, relative humidity, and the soil variables (including surface soil temperature, deep soil temperature, surface and deep soil water content). Variational assimilation is used for temperature analysis at 2 m depths, while the analysis of 2-meter relative humidity is carried out via optimal interpolation method. The implementation of these schemes along with the improvement of the NWP model resulted in reduction of the 2-meter temperature and relative humidity analysis and forecast errors.
[full text] Author(s):
Bogoslovskii N.N.
Address: Russia, Moscow
E-mail: dorgun@mail.ru
Tolstykh M A
Office: Institute of Numerical Mathematics RAS
Address: Russia, Moscow
E-mail: tolstykh@inm.ras.ru
Shlyaeva A.V.
Address: Russia, Moscow
E-mail: shlyaeva@gmail.com
Bibliography link:
Bogoslovskii N.N., Tolstykh M.A., Shlyaeva A.V. Data assimilation for surface and soil variables in the global semi-Lagrangian NWP model // Computational technologies. 2008. V. 13. Special issue 3. P. 111-116
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