A Comparative Study on the Impact of MWHS-2 and MHS Data Assimilation on the Simulation of Rainstorm in the Three Rivers Source Area

Based on the mid-scale WRF (Weather Research and Forecasting) numerical model, this study uses the direct assimilation module data from the FY-3C satellite MWHS-2 (Micro-Wave Humidity Sounder 2), and the WRF-3DVAR (Three Dimensional Variation) method to conduct assimilation comparison experiments on...

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Veröffentlicht in:Gao yuan qi xiang 2023-12, Vol.42 (6), p.1386-1401
Hauptverfasser: Xu CHEN, Lei WANG, Xiehui LI, Haobin ZHONG, Xuhui DENG
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Sprache:chi
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Zusammenfassung:Based on the mid-scale WRF (Weather Research and Forecasting) numerical model, this study uses the direct assimilation module data from the FY-3C satellite MWHS-2 (Micro-Wave Humidity Sounder 2), and the WRF-3DVAR (Three Dimensional Variation) method to conduct assimilation comparison experiments on two precipitation processes in the Three Rivers Source area.Moreover, this study extensively compares the effects of two assimilation data sets on simulation results: data from the MWHS-2 (microwave humidity instrument carried by FY-3C) and data from the MHS (Microwave Humidity Sounder) carried by NOAA-18 (National Oceanic and Atmospheric Administration-18).Results of the study show consistent simulation results for MWHS-2 and MHS data assimilation.For instance, regardless of whether assimilation is conducted or not, the simulated precipitation range is overestimated for precipitations less than 30 mm.However, the simulated range and amount are underestimated for precipitations higher than 30 mm.Furthermore, data
ISSN:1000-0534
DOI:10.7522/j.issn.1000-0534.2023.00024