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

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cg.authorship.typesCGIAR single centreen
cg.authorship.typesCGIAR and advanced research instituteen
cg.contributor.affiliationInternational Food Policy Research Instituteen
cg.contributor.crpPolicies, Institutions, and Markets
cg.contributor.donorBill & Melinda Gates Foundationen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeForesight
cg.coverage.countryEthiopia
cg.coverage.iso3166-alpha2ET
cg.coverage.regionAfrica
cg.coverage.regionSub-Saharan Africa
cg.coverage.regionEastern Africa
cg.howPublishedGrey Literatureen
cg.identifier.doihttps://doi.org/10.7910/dvn/thc08jen
cg.identifier.projectIFPRI - Foresight and Policy Modeling Uniten
cg.identifier.projectIFPRI - Systems Transformation - Transformation Strategiesen
cg.identifier.publicationRankNot rankeden
cg.placeWashington, DCen
cg.reviewStatusInternal Reviewen
cg.subject.actionAreaSystems Transformation
cg.subject.impactAreaClimate adaptation and mitigation
cg.subject.sdgSDG 13 - Climate actionen
dc.contributor.authorInternational Food Policy Research Instituteen
dc.contributor.authorMassachusetts Institute of Technologyen
dc.date.accessioned2025-01-23T21:12:38Zen
dc.date.available2025-01-23T21:12:38Zen
dc.identifier.urihttps://hdl.handle.net/10568/169814
dc.titleSimulated Future Climates for Ethiopia Using MIT-IGSM HFDs Based on CMIP5en
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
dcterms.accessRightsOpen Access
dcterms.audienceAcademicsen
dcterms.audienceGeneral Publicen
dcterms.audiencePolicy Makersen
dcterms.audienceScientistsen
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
dcterms.isPartOfGeospatial Dataen
dcterms.issued2024-12-30en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherInternational Food Policy Research Instituteen
dcterms.relationhttps://doi.org/10.3389/fclim.2022.787721en
dcterms.relationhttps://doi.org/10.3389/fclim.2022.787582en
dcterms.relationhttps://doi.org/10.1007/s10584-021-03235-5en
dcterms.subjectextreme weather eventsen
dcterms.subjectclimateen
dcterms.subjectclimate changeen
dcterms.subjectrisken
dcterms.subjectweather dataen
dcterms.subjectweather hazardsen
dcterms.subjectclimate variabilityen
dcterms.typeDataset

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