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- W2913697945 abstract "Short-term precipitation forecasts from numerical weather prediction models are a vital source of information for real-time flood forecasting systems. Previous studies show that assimilation of Doppler Weather Radar (DWR) observations significantly improves the forecast skill of short-term precipitation. However, the variational assimilation methods used for DWR assimilation are sensitive to the selection of control variable options in background error statistics. In this study, the impact of control variable choices in assimilating DWR observations for improving the forecast of heavy rainfall event is analysed. For this purpose radar reflectivity and radial velocity, observations are assimilated using stream function velocity potential (ψχ) and horizontal wind components (uv) control variable options in Weather Research and Forecast model – 3DVAR (three-dimensional variational assimilation system). The results show that DWR assimilation using uv control variable option has improved the skill of first 12 h of high intensity precipitation forecasts." @default.
- W2913697945 created "2019-02-21" @default.
- W2913697945 creator A5010854354 @default.
- W2913697945 creator A5018594651 @default.
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- W2913697945 date "2019-04-01" @default.
- W2913697945 modified "2023-10-13" @default.
- W2913697945 title "Assimilation of Doppler Weather Radar data with a regional WRF-3DVAR system: Impact of control variables on forecasts of a heavy rainfall case" @default.
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- W2913697945 doi "https://doi.org/10.1016/j.advwatres.2019.02.004" @default.
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