A series of data assimilation and forecast test have been carried out with a hemispheric spectral model(T42L9H).It is found that the numerical scheme for determining hemispheric initial wind is important to data assim...A series of data assimilation and forecast test have been carried out with a hemispheric spectral model(T42L9H).It is found that the numerical scheme for determining hemispheric initial wind is important to data assimilation and forecast.An inappropriate scheme may cause computational sources of divergence near the equator,which are responsible for the spurious strong precipitation and corresponding latent heat release.Obviously,this problem differs from either the hemispheric/global domain effect or the tropical data effect pointed by Dalley et al.(1981).Based on the previous studies,the new scheme of divergence and vorticity correction is presented,and the difference with other schemes and its effects on the data assimilation are discussed against the control test. Preliminary tests have shown that the new divergence correction scheme proposed in this paper may be a preferable choice to overcome the initial computational errors in the hemispheric data assimilation.展开更多
文摘A series of data assimilation and forecast test have been carried out with a hemispheric spectral model(T42L9H).It is found that the numerical scheme for determining hemispheric initial wind is important to data assimilation and forecast.An inappropriate scheme may cause computational sources of divergence near the equator,which are responsible for the spurious strong precipitation and corresponding latent heat release.Obviously,this problem differs from either the hemispheric/global domain effect or the tropical data effect pointed by Dalley et al.(1981).Based on the previous studies,the new scheme of divergence and vorticity correction is presented,and the difference with other schemes and its effects on the data assimilation are discussed against the control test. Preliminary tests have shown that the new divergence correction scheme proposed in this paper may be a preferable choice to overcome the initial computational errors in the hemispheric data assimilation.
