WRF_FDDA_Dudhia
WRF_FDDA_Dudhia 教程
The Four-Dimensional Data Assimilation module (FDDA) is used in combination with the WRF model for the analysis of two case studies of high tide (on 4 April 2019 and on 12 November 2019) that affected the Venice Lagoon in the recent past. The system is implemented in the perspective of ...
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...
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Comparison of the WRF-FDDA-Based Radar Reflectivity and Lightning Data Assimilation for Short-Term Precipitation and Lightning Forecasts of Severe Convectionradar reflectivity data assimilationlightning data assimilationprecipitation forecastlightning forecast...
In this study, the performance of FY-4A lightning data assimilation (LDA) on the forecast of non-typhoon oceanic mesoscale convective systems (MCSs) is investigated by using an LDA method implemented in the Weather Research and Forecasting-Four Dimensional Data Assimilation (WRF-FDDA). With the ...
18.1 MODELING EXTREMELY COLD STABLE BOUNDARY LAYERS OVER INTERIOR ALASKA USING A WRF FDDA SYSTEMBrian GaudetDavid R StaufferNelson L SeamanRobert Elleman
In this study, we compared WRF-CAMx simulations with and without four-dimensional data assimilation (FDDA or nudging) to examine if nudging approach (i.e., analysis and observation nudging with NAM-12 reanalysis and MADIS+AirNowTech data, respectively) improve model performance in simulating ...
WRFInversionUintah basinCold-air poolPBLFour-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 O 3 concentration distributions within the Uintah Basin, ...