Simulated Future Climates for Ethiopia Using MIT-IGSM HFDs Based on CMIP5
The dataset consists of high-resolution climate projections spanning 50 years, capturing spatial and temporal variations in temperature, precipitation, and extreme weather events. These climate inputs were combined with agricultural models to simulate the frequency, intensity, and impact of weather...
| Autores principales: | , |
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| Formato: | Conjunto de datos |
| Lenguaje: | Inglés |
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International Food Policy Research Institute
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/169814 |
| _version_ | 1855520346996736000 |
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| author | International Food Policy Research Institute Massachusetts Institute of Technology |
| author_browse | International Food Policy Research Institute Massachusetts Institute of Technology |
| author_facet | International Food Policy Research Institute Massachusetts Institute of Technology |
| author_sort | International Food Policy Research Institute |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The dataset consists of high-resolution climate projections spanning 50 years, capturing spatial and temporal variations in temperature, precipitation, and extreme weather events. These climate inputs were combined with agricultural models to simulate the frequency, intensity, and impact of weather events on the yields of key crops, such as maize, in Ethiopia. It integrates hybrid frequency distributions (HFDs) from the Massachusetts Institute of Technology Integrated Global Systems Model (MIT-IGSM) with detrended gridded historical climates from Princeton Global Forcings. Using a Gaussian quadrature routine, 455 representative climate scenarios were selected for Ethiopia under each emissions scenario (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). This comprehensive dataset provides critical insights into the risks posed by climate change to food security and serves as a valuable resource for researchers and policymakers aiming to develop adaptive strategies for sustainable agriculture. |
| format | Conjunto de datos |
| id | CGSpace169814 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1698142025-01-24T08:53:53Z Simulated Future Climates for Ethiopia Using MIT-IGSM HFDs Based on CMIP5 International Food Policy Research Institute Massachusetts Institute of Technology extreme weather events climate climate change risk weather data weather hazards climate variability The dataset consists of high-resolution climate projections spanning 50 years, capturing spatial and temporal variations in temperature, precipitation, and extreme weather events. These climate inputs were combined with agricultural models to simulate the frequency, intensity, and impact of weather events on the yields of key crops, such as maize, in Ethiopia. It integrates hybrid frequency distributions (HFDs) from the Massachusetts Institute of Technology Integrated Global Systems Model (MIT-IGSM) with detrended gridded historical climates from Princeton Global Forcings. Using a Gaussian quadrature routine, 455 representative climate scenarios were selected for Ethiopia under each emissions scenario (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). This comprehensive dataset provides critical insights into the risks posed by climate change to food security and serves as a valuable resource for researchers and policymakers aiming to develop adaptive strategies for sustainable agriculture. 2024-12-30 2025-01-23T21:12:38Z 2025-01-23T21:12:38Z Dataset https://hdl.handle.net/10568/169814 en https://doi.org/10.3389/fclim.2022.787721 https://doi.org/10.3389/fclim.2022.787582 https://doi.org/10.1007/s10584-021-03235-5 Open Access International Food Policy Research Institute International Food Policy Research Institute (IFPRI); Massachusetts Institute of Technology (MIT). 2024. Simulated Future Climates for Ethiopia Using MIT-IGSM HFDs Based on CMIP5. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/THC08J. Harvard Dataverse. Version 1. |
| spellingShingle | extreme weather events climate climate change risk weather data weather hazards climate variability International Food Policy Research Institute Massachusetts Institute of Technology Simulated Future Climates for Ethiopia Using MIT-IGSM HFDs Based on CMIP5 |
| title | Simulated Future Climates for Ethiopia Using MIT-IGSM HFDs Based on CMIP5 |
| title_full | Simulated Future Climates for Ethiopia Using MIT-IGSM HFDs Based on CMIP5 |
| title_fullStr | Simulated Future Climates for Ethiopia Using MIT-IGSM HFDs Based on CMIP5 |
| title_full_unstemmed | Simulated Future Climates for Ethiopia Using MIT-IGSM HFDs Based on CMIP5 |
| title_short | Simulated Future Climates for Ethiopia Using MIT-IGSM HFDs Based on CMIP5 |
| title_sort | simulated future climates for ethiopia using mit igsm hfds based on cmip5 |
| topic | extreme weather events climate climate change risk weather data weather hazards climate variability |
| url | https://hdl.handle.net/10568/169814 |
| work_keys_str_mv | AT internationalfoodpolicyresearchinstitute simulatedfutureclimatesforethiopiausingmitigsmhfdsbasedoncmip5 AT massachusettsinstituteoftechnology simulatedfutureclimatesforethiopiausingmitigsmhfdsbasedoncmip5 |