Africa Adaptation Atlas Hazards - NexGDDP CMIP6

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cg.authorship.typesCGIAR single centre
cg.contributor.donorBill & Melinda Gates Foundation
cg.contributor.programAcceleratorClimate Action
cg.coverage.regionAfrica
cg.coverage.regionAsia
cg.coverage.regionAmericas
cg.coverage.regionOceania
cg.coverage.regionSouthern Europe
cg.creator.identifierHarold Achicanoy: 0000-0002-3432-3655
cg.creator.identifierJulian Ramirez-Villegas: 0000-0002-8044-583X
cg.creator.identifierTodd Rosenstock: 0000-0002-1958-9500
cg.creator.identifierPeter Steward: 0000-0003-3985-4911
cg.creator.identifierBrayden Youngberg: 0009-0008-0103-0208
cg.creator.identifierFabio Castro-Llanos: 0000-0001-5908-7225
cg.identifier.doihttps://doi.org/10.5281/zenodo.18164335
cg.identifier.urlhttps://github.com/AdaptationAtlas/hazards/tree/nexgddp
cg.subject.actionAreaSystems Transformation
cg.subject.alliancebiovciatCLIMATE CHANGE
cg.subject.sdgSDG 2 - Zero hunger
cg.subject.sdgSDG 13 - Climate action
dc.contributor.authorAchicanoy Estrella, Harold Armando
dc.contributor.authorRamirez Villegas, Julian Armando
dc.contributor.authorRosenstock, Todd Stuart
dc.contributor.authorSteward, Peter Richard
dc.contributor.authorYoungberg, Brayden
dc.contributor.authorCastro Llanos, Fabio Alexander
dc.date.accessioned2026-01-15T13:26:23Z
dc.date.available2026-01-15T13:26:23Z
dc.identifier.urihttps://hdl.handle.net/10568/179896
dc.titleAfrica Adaptation Atlas Hazards - NexGDDP CMIP6en
dcterms.abstractThe Adaptation Atlas NexGDDP hazards dataset provides 0.25° resolution historical and future climate-related hazard indicators derived from the NASA NexGDDP CMIP6 projections. The dataset covers 4 Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5) and four future periods between 2021 and 2100, based on 18 global climate models (ACCESS-CM2, ACCESS-ESM1-5, CMCC-ESM2, CanESM5, EC-Earth3, EC-Earth3-Veg-LR, GFDL-ESM4, INM-CM4-8, INM-CM5-0, IPSL-CM6A-LR, KACE-1-0-G, MIROC6, MPI-ESM1-2-HR, MPI-ESM1-2-LR, MRI-ESM2-0, NorESM2-LM, NorESM2-MM, TaiESM1) and their multi-model ensemble mean. Using daily projections of temperature, precipitation, solar radiation, and relative humidity, the dataset includes ten hazard indices spanning drought stress, heat stress for crops, humans, and livestock, and waterlogging and flooding conditions. These hazards include: - NDD: Number of dry days - NDWS: Number of soil moisture stress days - TAI: Thornthwaite’s aridity index - NTx35: Number of heat stress days for crops (Tmax > 35 °C) - NTx40: Number of extreme heat stress days for crops (Tmax > 40 °C) - HSM_NTx35: Number of heat stress days for maize during the crop growing season - HSH: Human heat stress index - THI: Cattle thermal humidity index - NDWL0: Number of days with soil waterlogging at saturation or above - NDWL50: Number of days with soil waterlogging at 50% between field capacity and saturationen
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationAchicanoy Estrella, H.A.; Ramirez Villegas, J.A.; Rosenstock, T.S.; Steward, P.R.; Youngberg, B.; Castro Llanos, F.A. (2025) Africa Adaptation Atlas Hazards - NexGDDP CMIP6. https://doi.org/10.5281/zenodo.18164335en
dcterms.issued2025
dcterms.languageen
dcterms.licenseCC-BY-SA-4.0
dcterms.subjectagricultureen
dcterms.subjectclimate changeen
dcterms.subjectspatial dataen
dcterms.subjectclimatic data-climate dataen
dcterms.typeDataset

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