Training on Installation, Configuration and Usage of WRF-Hydro model
Understanding the mechanisms leading to heavy precipitation events and accurate modelling of the surface hydrology is crucial for producing a reliable flood early warning system. In this workshop we used uncoupled WRF-Hydro model, an open-source community model, for the flash flood prediction. The m...
| Autores principales: | , , , , |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
Accelerating Impacts of CGIAR Climate Research for Africa
2022
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/126626 |
| _version_ | 1855521942762684416 |
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| author | Gezahegn, Addisu Tefera, Gulilat Demissie, Teferi Dejene Mersha, Yonas Bekele, Tamrat |
| author_browse | Bekele, Tamrat Demissie, Teferi Dejene Gezahegn, Addisu Mersha, Yonas Tefera, Gulilat |
| author_facet | Gezahegn, Addisu Tefera, Gulilat Demissie, Teferi Dejene Mersha, Yonas Bekele, Tamrat |
| author_sort | Gezahegn, Addisu |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Understanding the mechanisms leading to heavy precipitation events and accurate modelling of the surface hydrology is crucial for producing a reliable flood early warning system. In this workshop we used uncoupled WRF-Hydro model, an open-source community model, for the flash flood prediction. The model can also be used for a range of projects, including regional hydro-climate impacts assessment, seasonal forecasting of water resources, and land-atmosphere coupling studies. The underlying goal of WRF-Hydro development is to improve prediction skill of hydro-meteorological forecasts using science based numerical prediction tools. In addition to the hydrological modelling, understanding the atmospheric process is equally important to get
a better insight regarding flood events. Large scale atmospheric and surface fields associated with selected extreme precipitation events are analysed in this workshop using ERA5 reanalysis, to understand the processes leading to such heavy precipitation events. |
| format | Informe técnico |
| id | CGSpace126626 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Accelerating Impacts of CGIAR Climate Research for Africa |
| publisherStr | Accelerating Impacts of CGIAR Climate Research for Africa |
| record_format | dspace |
| spelling | CGSpace1266262025-11-11T16:48:18Z Training on Installation, Configuration and Usage of WRF-Hydro model Gezahegn, Addisu Tefera, Gulilat Demissie, Teferi Dejene Mersha, Yonas Bekele, Tamrat agriculture climate-smart agriculture climate change flood predictions Understanding the mechanisms leading to heavy precipitation events and accurate modelling of the surface hydrology is crucial for producing a reliable flood early warning system. In this workshop we used uncoupled WRF-Hydro model, an open-source community model, for the flash flood prediction. The model can also be used for a range of projects, including regional hydro-climate impacts assessment, seasonal forecasting of water resources, and land-atmosphere coupling studies. The underlying goal of WRF-Hydro development is to improve prediction skill of hydro-meteorological forecasts using science based numerical prediction tools. In addition to the hydrological modelling, understanding the atmospheric process is equally important to get a better insight regarding flood events. Large scale atmospheric and surface fields associated with selected extreme precipitation events are analysed in this workshop using ERA5 reanalysis, to understand the processes leading to such heavy precipitation events. 2022-12 2023-01-05T16:00:45Z 2023-01-05T16:00:45Z Report https://hdl.handle.net/10568/126626 en Open Access application/pdf Accelerating Impacts of CGIAR Climate Research for Africa Gezahegn A, Tefera G, Demissie T, Mersha Y, Bekele T. 2022. Training on Installation, Configuration and Usage of WRF-Hydro model. AICCRA Workshop Report. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA). |
| spellingShingle | agriculture climate-smart agriculture climate change flood predictions Gezahegn, Addisu Tefera, Gulilat Demissie, Teferi Dejene Mersha, Yonas Bekele, Tamrat Training on Installation, Configuration and Usage of WRF-Hydro model |
| title | Training on Installation, Configuration and Usage of WRF-Hydro model |
| title_full | Training on Installation, Configuration and Usage of WRF-Hydro model |
| title_fullStr | Training on Installation, Configuration and Usage of WRF-Hydro model |
| title_full_unstemmed | Training on Installation, Configuration and Usage of WRF-Hydro model |
| title_short | Training on Installation, Configuration and Usage of WRF-Hydro model |
| title_sort | training on installation configuration and usage of wrf hydro model |
| topic | agriculture climate-smart agriculture climate change flood predictions |
| url | https://hdl.handle.net/10568/126626 |
| work_keys_str_mv | AT gezahegnaddisu trainingoninstallationconfigurationandusageofwrfhydromodel AT teferagulilat trainingoninstallationconfigurationandusageofwrfhydromodel AT demissieteferidejene trainingoninstallationconfigurationandusageofwrfhydromodel AT mershayonas trainingoninstallationconfigurationandusageofwrfhydromodel AT bekeletamrat trainingoninstallationconfigurationandusageofwrfhydromodel |