Sensitivity Study of WRF Simulations over Tanzania for Extreme Events during Wet and Dry Seasons
Precipitation prediction is important to help mitigate the effects of drought and floods on various social and economic activities. This research is to improve the forecasting skill over Tanzania by providing suitable combinations of physical parameterization schemes and horizontal grid spacing of t...
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Format: | Article |
Language: | English |
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MDPI AG
2020-05-01
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Series: | Atmosphere |
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Online Access: | https://www.mdpi.com/2073-4433/11/5/459 |
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author | Abubakar Lungo Sangil Kim Meiyan Jiang Giphil Cho Yongkuk Kim |
author_facet | Abubakar Lungo Sangil Kim Meiyan Jiang Giphil Cho Yongkuk Kim |
author_sort | Abubakar Lungo |
collection | DOAJ |
description | Precipitation prediction is important to help mitigate the effects of drought and floods on various social and economic activities. This research is to improve the forecasting skill over Tanzania by providing suitable combinations of physical parameterization schemes and horizontal grid spacing of the Weather Research Forecasting (WRF) model for daily forecasting over Tanzania. The performance of different schemes on the precipitation systems during the wet and dry seasons over Tanzania is evaluated such that the sensitivity tests was performed for the WRF model at different horizontal resolutions, and for different physical parameterization schemes (convective and cloud microphysics). The results showed that the improved grid spacing was better at completing forecasts during the wet season, but had little significant impacts during the dry season. Model simulations with combinations of Lin et al. microphysics and the multiscale Kain–Fritsch scheme showed greater success during the both seasons; therefore, these combinations were recommended for Tanzania to resolve weather systems during the wet and dry season simulations, respectively. |
first_indexed | 2024-03-10T20:05:54Z |
format | Article |
id | doaj.art-d4e7631804dd4c9996a157c069429e45 |
institution | Directory Open Access Journal |
issn | 2073-4433 |
language | English |
last_indexed | 2024-03-10T20:05:54Z |
publishDate | 2020-05-01 |
publisher | MDPI AG |
record_format | Article |
series | Atmosphere |
spelling | doaj.art-d4e7631804dd4c9996a157c069429e452023-11-19T23:19:38ZengMDPI AGAtmosphere2073-44332020-05-0111545910.3390/atmos11050459Sensitivity Study of WRF Simulations over Tanzania for Extreme Events during Wet and Dry SeasonsAbubakar Lungo0Sangil Kim1Meiyan Jiang2Giphil Cho3Yongkuk Kim4Central Forecasting Office, Tanzania Meteorological Agency, Dar es Salaam 16103, TanzaniaDepartment of Mathematics, Pusan National University, Busan 46241, KoreaDepartment of Mathematics, Pusan National University, Busan 46241, KoreaFinance·Fishery·Manufacture Industrial Mathematics Center on Big Data, Pusan National University, Busan 46241, KoreaDepartment of Mathematics, Kyungpook National University, Daegu 41566, KoreaPrecipitation prediction is important to help mitigate the effects of drought and floods on various social and economic activities. This research is to improve the forecasting skill over Tanzania by providing suitable combinations of physical parameterization schemes and horizontal grid spacing of the Weather Research Forecasting (WRF) model for daily forecasting over Tanzania. The performance of different schemes on the precipitation systems during the wet and dry seasons over Tanzania is evaluated such that the sensitivity tests was performed for the WRF model at different horizontal resolutions, and for different physical parameterization schemes (convective and cloud microphysics). The results showed that the improved grid spacing was better at completing forecasts during the wet season, but had little significant impacts during the dry season. Model simulations with combinations of Lin et al. microphysics and the multiscale Kain–Fritsch scheme showed greater success during the both seasons; therefore, these combinations were recommended for Tanzania to resolve weather systems during the wet and dry season simulations, respectively.https://www.mdpi.com/2073-4433/11/5/459heavy rainfallprecipitation forecastingwet seasondry seasonprecipitation forecastingWRF Model |
spellingShingle | Abubakar Lungo Sangil Kim Meiyan Jiang Giphil Cho Yongkuk Kim Sensitivity Study of WRF Simulations over Tanzania for Extreme Events during Wet and Dry Seasons Atmosphere heavy rainfall precipitation forecasting wet season dry season precipitation forecasting WRF Model |
title | Sensitivity Study of WRF Simulations over Tanzania for Extreme Events during Wet and Dry Seasons |
title_full | Sensitivity Study of WRF Simulations over Tanzania for Extreme Events during Wet and Dry Seasons |
title_fullStr | Sensitivity Study of WRF Simulations over Tanzania for Extreme Events during Wet and Dry Seasons |
title_full_unstemmed | Sensitivity Study of WRF Simulations over Tanzania for Extreme Events during Wet and Dry Seasons |
title_short | Sensitivity Study of WRF Simulations over Tanzania for Extreme Events during Wet and Dry Seasons |
title_sort | sensitivity study of wrf simulations over tanzania for extreme events during wet and dry seasons |
topic | heavy rainfall precipitation forecasting wet season dry season precipitation forecasting WRF Model |
url | https://www.mdpi.com/2073-4433/11/5/459 |
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