Variational data assimilation with moist threshold processes using the NMC spectral model

ABSTRACT This paper describes a detailed study of variational 4‐D data assimilation including the physical processes of large‐scale precipitation and deep cumulus convection. The length of the assimilation window is 6 h, and the data are NMC's operational analyses. A comparison of the minimizat...

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Published in:Tellus. Series A, Dynamic meteorology and oceanography Dynamic meteorology and oceanography, 1993-10, Vol.45 (5), p.370-387
Main Authors: ZOU, XIAOLEI, NAVON, I. M., SELA, J. G.
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description ABSTRACT This paper describes a detailed study of variational 4‐D data assimilation including the physical processes of large‐scale precipitation and deep cumulus convection. The length of the assimilation window is 6 h, and the data are NMC's operational analyses. A comparison of the minimization behaviour, the computational complexity, the quality of the retrieved initial state, with and without physical processes is presented. The results demonstrate the ability to perform 4‐D variational data assimilation with discontinuous physical processes. The experiments are carried out with the NMC global spectral model in a resolution of 18 layers in the vertical and a 40 wave triangular truncation.
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title Variational data assimilation with moist threshold processes using the NMC spectral model
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