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- W2185009890 abstract "We present the results of the impacts of 3D Variational Data Assimilation (3DVAR) system within the WRF-Var real time forecast system version 3.3. In this study, severe weather parameters are calculated from an experimental ensemble forecasts, and then compared to a control ensemble forecast in which no ensemble-based data assimilation is performed , initializing with the GFS data at 00 UTC on 15 August 2011. Prepbufr and radiance data were used to ingest observations in a time window of ±3hours with the WRF 3D-Var scheme. Relative humidity, zonal and meridional wind components, 2 metre temperature and rainfall were compared with ERA Interim and TRMM observational data. The results showed a good agreement between these variables and observations and demonstrated that WRF system aims to produce high precipitation over western Africa. For instance, WRF_DA experiment ameliorates simulations by displaying highest correlations and smallest scores errors." @default.
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- W2185009890 date "2012-01-01" @default.
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- W2185009890 title "Assessing the Improvement of Severe Weather Prediction Over Western Africa in WRF by 3DVAR Data Assimilation System using Conventional and Radiance observational Data" @default.
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