Training Workshop on Numerical Weather Prediction to Improve Forecasting and Analysis of Meteorological and Earth Observations Datasets in Southern Africa Region
It is a well-established fact that anthropogenic climate change is amplifying the natural climate variability and extreme events (IPCC-AR6, 2018)1 . The IPCC-AR6 report confirms that climate change affected and will continue to affect African economy and society negatively although it contributes le...
| 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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| Acceso en línea: | https://hdl.handle.net/10568/126997 |
| _version_ | 1855515472592633856 |
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| author | Amha, Yosef Sovara, Mthetho Bopape, Mary-Jane Bekele, Tamrat Demissie, Teferi Dejene Solomon, Dawit |
| author_browse | Amha, Yosef Bekele, Tamrat Bopape, Mary-Jane Demissie, Teferi Dejene Solomon, Dawit Sovara, Mthetho |
| author_facet | Amha, Yosef Sovara, Mthetho Bopape, Mary-Jane Bekele, Tamrat Demissie, Teferi Dejene Solomon, Dawit |
| author_sort | Amha, Yosef |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | It is a well-established fact that anthropogenic climate change is amplifying the natural climate variability and extreme events (IPCC-AR6, 2018)1 . The IPCC-AR6 report confirms that climate change affected and will continue to affect African economy and society negatively although it contributes less than 4 percent of global emissions. It also indicated that Africa is warming faster than the global average where certain parts of Africa could warm up by 2.6–4.8°C by 2050. The same report highlighted that hydro-meteorological hazards due to climate change and variability (e.g., droughts, floods, windstorms, tropical cyclones,
landslides and wildfire) will increase in the continent, with evidence of greater damage to the economy, ecosystem and society. The coastal systems and low-lying areas of Africa are particularly sensitive to changes in sea level, ocean temperature and ocean acidification. Consequently, extreme weather is listed as the second most severe risk on a global scale over the next 10 years in the Global Risk Report 2022 of the World Economic Forum2 . The improved early warning systems using various models including the Numerical Weather Prediction (NWP) can, therefore, assist with mitigating the severity of disasters associated with
climate extreme events by improving both the accuracy and the lead-time of weather forecasts. |
| format | Informe técnico |
| id | CGSpace126997 |
| 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 | CGSpace1269972025-11-11T16:45:37Z Training Workshop on Numerical Weather Prediction to Improve Forecasting and Analysis of Meteorological and Earth Observations Datasets in Southern Africa Region Amha, Yosef Sovara, Mthetho Bopape, Mary-Jane Bekele, Tamrat Demissie, Teferi Dejene Solomon, Dawit agriculture climate-smart agriculture climate change It is a well-established fact that anthropogenic climate change is amplifying the natural climate variability and extreme events (IPCC-AR6, 2018)1 . The IPCC-AR6 report confirms that climate change affected and will continue to affect African economy and society negatively although it contributes less than 4 percent of global emissions. It also indicated that Africa is warming faster than the global average where certain parts of Africa could warm up by 2.6–4.8°C by 2050. The same report highlighted that hydro-meteorological hazards due to climate change and variability (e.g., droughts, floods, windstorms, tropical cyclones, landslides and wildfire) will increase in the continent, with evidence of greater damage to the economy, ecosystem and society. The coastal systems and low-lying areas of Africa are particularly sensitive to changes in sea level, ocean temperature and ocean acidification. Consequently, extreme weather is listed as the second most severe risk on a global scale over the next 10 years in the Global Risk Report 2022 of the World Economic Forum2 . The improved early warning systems using various models including the Numerical Weather Prediction (NWP) can, therefore, assist with mitigating the severity of disasters associated with climate extreme events by improving both the accuracy and the lead-time of weather forecasts. 2022-11 2023-01-12T20:02:15Z 2023-01-12T20:02:15Z Report https://hdl.handle.net/10568/126997 en Open Access application/pdf Accelerating Impacts of CGIAR Climate Research for Africa Amha Y, Sovara M, Bopape M, Bekele T, Demissie T, Solomon D. 2022. Training Workshop on Numerical Weather Prediction to Improve Forecasting and Analysis of Meteorological and Earth Observations Datasets in Southern Africa Region. AICCRA Workshop Report. Accelerating Impacts of CGIAR Climate Research in Africa (AICCRA). |
| spellingShingle | agriculture climate-smart agriculture climate change Amha, Yosef Sovara, Mthetho Bopape, Mary-Jane Bekele, Tamrat Demissie, Teferi Dejene Solomon, Dawit Training Workshop on Numerical Weather Prediction to Improve Forecasting and Analysis of Meteorological and Earth Observations Datasets in Southern Africa Region |
| title | Training Workshop on Numerical Weather Prediction to Improve Forecasting and Analysis of Meteorological and Earth Observations Datasets in Southern Africa Region |
| title_full | Training Workshop on Numerical Weather Prediction to Improve Forecasting and Analysis of Meteorological and Earth Observations Datasets in Southern Africa Region |
| title_fullStr | Training Workshop on Numerical Weather Prediction to Improve Forecasting and Analysis of Meteorological and Earth Observations Datasets in Southern Africa Region |
| title_full_unstemmed | Training Workshop on Numerical Weather Prediction to Improve Forecasting and Analysis of Meteorological and Earth Observations Datasets in Southern Africa Region |
| title_short | Training Workshop on Numerical Weather Prediction to Improve Forecasting and Analysis of Meteorological and Earth Observations Datasets in Southern Africa Region |
| title_sort | training workshop on numerical weather prediction to improve forecasting and analysis of meteorological and earth observations datasets in southern africa region |
| topic | agriculture climate-smart agriculture climate change |
| url | https://hdl.handle.net/10568/126997 |
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