Impact of assimilating FY-3C MWHS2 data in the RMAPS-ST forecast system on its rainfall forecasts |
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| Authors: | Ruixia Liu Qifeng Lu Min Chen Lu Mao Shuiyong Fan |
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| Affiliation: | 1. Key Laboratory of Radiometric Calibration and Validation for Environmental Satellite, China Meteorological Administration, National Satellite Meteorological Center, Beijing, China;2. Institute of Urban Meteorology, China Meteorological Administration, Beijing, China;3. Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions, China Meteorological Administration, Yinchuan, China;4. Ningxia Meteorological Observatory, Yinchuan, China |
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| Abstract: | In order to evaluate the impact of assimilating FY-3C satellite Microwave Humidity Sounder(MWHS2)data on rainfall forecasts in the new-generation Rapid-refresh Multi-scale Analysis and Prediction System-Short Term(RMAPS-ST)operational system,which is developed by the Institute of Urban Meteorology of the China Me-teorological Administration,four experiments were carried out in this study:(i)Coldstart(no observations as-similated);(ii)CON(assimilation of conventional observations);(iii)FY3(assimilation of FY-3C MWHS2 only);and(iv)FY3+CON(simultaneous assimilation of FY-3C MWHS2 and conventional observations).A precipitation process that took place in central-eastern China during 4-6 June 2019 was selected as a case study.When the authors assimilated the FY-3C MWHS2 data in the RMAPS-ST operational system,data quality control and bias correction were performed so that the O-B(observation minus background)values of the five humidity channels of MWHS2 became closer to a normal distribution,and the data basically satisfied the unbiased assumption.The results showed that,in this case,the predictions of both precipitation location and intensity were improved in the FY3+CON experiment compared with the other three experiments.Meanwhile,the prediction of atmospheric parameters for the mesoscale field was also improved,and the RMSE of the specific humidity forecast at the 850-400 hPa height was reduced.This study implies that FY-3C MWHS2 data can be successfully assimilated in a regional numerical model and has the potential to improve the forecasting of rainfall. |
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| Keywords: | FY-3C MWHS2 RMAPS-ST Data assimilation Precipitation forecast |
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