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Precipitation Forecast Characteristics of Radar Data Assimilation Based on Precipitation Types
Radar observation data with high temporal and spatial resolution are used in the data assimilation experiment to improve precipitation forecast of a numerical model. The numerical model considered in this study is Weather Research and Forecasting (WRF) model with double-moment 6-class microphysics scheme (WDM6). We calculated radar equivalent reflectivity factor using higher resolution WRF and compared with radar observations in South Korea. To compare the precipitation forecast characteristicsdoi:10.20944/preprints202111.0450.v1 fatcat:742zefztxzauzampod5lai7fua