Simulated Future Climates for Ethiopia Using MIT-IGSM HFDs Based on CMIP5

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cg.authorship.typesCGIAR single centreen_US
cg.authorship.typesCGIAR and advanced research instituteen_US
cg.contributor.affiliationInternational Food Policy Research Instituteen_US
cg.contributor.crpPolicies, Institutions, and Marketsen_US
cg.contributor.donorBill & Melinda Gates Foundationen_US
cg.contributor.donorCGIAR Trust Funden_US
cg.contributor.initiativeForesighten_US
cg.coverage.countryEthiopiaen_US
cg.coverage.iso3166-alpha2ETen_US
cg.coverage.regionAfricaen_US
cg.coverage.regionSub-Saharan Africaen_US
cg.coverage.regionEastern Africaen_US
cg.howPublishedGrey Literatureen_US
cg.identifier.doihttps://doi.org/10.7910/dvn/thc08jen_US
cg.identifier.projectIFPRI - Foresight and Policy Modeling Uniten_US
cg.identifier.projectIFPRI - Systems Transformation - Transformation Strategiesen_US
cg.identifier.publicationRankNot rankeden_US
cg.placeWashington, DCen_US
cg.reviewStatusInternal Reviewen_US
cg.subject.actionAreaSystems Transformationen_US
cg.subject.impactAreaClimate adaptation and mitigationen_US
cg.subject.sdgSDG 13 - Climate actionen_US
dc.contributor.authorInternational Food Policy Research Instituteen_US
dc.contributor.authorMassachusetts Institute of Technologyen_US
dc.date.accessioned2025-01-23T21:12:38Zen_US
dc.date.available2025-01-23T21:12:38Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/169814en_US
dc.titleSimulated Future Climates for Ethiopia Using MIT-IGSM HFDs Based on CMIP5en_US
dcterms.abstractThe 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.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.audienceAcademicsen_US
dcterms.audienceGeneral Publicen_US
dcterms.audiencePolicy Makersen_US
dcterms.audienceScientistsen_US
dcterms.bibliographicCitationInternational 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.en_US
dcterms.isPartOfGeospatial Dataen_US
dcterms.issued2024-12-30en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publisherInternational Food Policy Research Instituteen_US
dcterms.relationhttps://doi.org/10.3389/fclim.2022.787721en_US
dcterms.relationhttps://doi.org/10.3389/fclim.2022.787582en_US
dcterms.relationhttps://doi.org/10.1007/s10584-021-03235-5en_US
dcterms.subjectextreme weather eventsen_US
dcterms.subjectclimateen_US
dcterms.subjectclimate changeen_US
dcterms.subjectrisken_US
dcterms.subjectweather dataen_US
dcterms.subjectweather hazardsen_US
dcterms.subjectclimate variabilityen_US
dcterms.typeDataseten_US

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