Assimilation experiments of the Rapid Refresh Hybrid scheme with wind, temperature and humidity data in the vertical observation network

1.Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science Technology/Key Laboratory of Meteorological DisasterNUIST,Ministry of Education;2.Beijing Institute of urban meteorology,China Meteorological Administration;3.Beijing Institute of Applied Meteorology;4.Shanghai Institute of Satellite Engineering

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The National Basic Research Program of China (973 Program)

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    A Rapid Refresh Hybrid system was constructed based on the Weather Research and Forecasting(WRF) Model,WRF Hybrid Data Assimilation system and Ensemble Transform Kalman Filter(ETKF),with assimilating both Wind Profile Radar Detection(WPRD) data and Microwave Radiometer(MWR) data.Experiments were performed for the study of the impact of 4 important parameters on the system,which are 2 tuning factors of static background error, localization scale and ensemble weighting factor,and contrast research was carried on to the results of Hybrid and 3DVAR schemes.Some encouraged conclusions were given as follows:Tuning these 4 parameters could improve performance of the Rapid Refresh Hybrid system.The analysis and forecast of Hybrid with pa-rameters not tuned were better than those of 3DVAR, and the results of Hybrid with parameters tuned were the best.

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  • Received:March 24,2021
  • Revised:August 26,2021
  • Adopted:September 15,2021
  • Online: December 06,2022
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