WRF_FDDA_Dudhia 教程
Four-dimensional data assimilation (FDDA) was applied in WRF-CMAQ model sensitivity tests to study the impact of observational and analysis nudging on model performance in simulating inversion layers and O3 concentration distributions within the Uintah Basin, Utah, U.S.A. in winter 2013. Observation...
2.2. FDDA The Four-Dimensional Data Assimilation (FDDA) is a nudging scheme designed for the WRF model [19]. It modifies the prognostic equations for wind, humidity, and temperature, by adding a weighted nudging term that leads the model toward the observed state. The detailed description of...
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