ISSN 1000-0526
CN 11-2282/P
CN 11-2282/P
Evaluation of Mesoscale Model Cloud Microphysics Based On Satellite Observations
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Abstract:
The prediction accuracy of precipitation of the area of Yangtze River is of great importance during Mei-yu period. The precipitation simulation bias is relevant to cloud microphysics schemes. Thus, based on satellite observations and Community Radiative transfer model(CRTM), this research is to evaluate simulated results of three cloud schemes (Morrison, Thompson,WD6), based on a heavy rainstorm simulation in middle reach of Yangtze River resulted by a eastward cloud moved from Tibet plateau from June 29th to July 1st, 2016. The results is as follow：Compared to the high resolution merged satellite precipitation observations, the three cloud microphysics schemes perform very well as a whole, which simulate the beginning period, the developing period and the maturing period of the rainstorm. The performance of Morrison scheme is the best. However, the simulations of solid water condensate have great uncertainty. Compared to ERA5 data and the brightness temperature(BT) from Himawari-8, the simulated three schemes overestimate the high level cloud and underestimate the mid-low cloud. Compared to the satellite retrieval data(downward shortwave radiation(SWDR), cloud optical thickness(COT), cloud effective radius(CER)), the simulated SWDR is smaller in the region of heavy rain, which maybe resulted by the smaller simulated cloud ice and cloud water content as well as the larger CER. Furthermore, this research also find that the bias of simulated precipitable water（PW）is negative in the area of rainstorm(in the east area of Hubei province) compared to GPS observations. The error of simulated extreme precipitation is the result of the combined effects of thermodynamics, dynamics, and cloud physics. This article provides a reference for the evaluation and improvement of extreme precipitation simulation.
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