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Assessing the Improvement of Severe Weather Prediction Over Western Africa in WRF by 3DVAR Data Assimilation System using Conventional and Radiance observational Data
| Content Provider | Semantic Scholar |
|---|---|
| Author | Igri, P. Moudi Vondou, Derbetini A. Tanessong, Roméo S. Mkankam, François K. Moudi, Igri |
| Copyright Year | 2012 |
| 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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.meteo.fr/cic/meetings/2012/ERAD/extended_abs/NWP_265_ext_abs.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |