Africa Adaptation Atlas Hazards - Delta method
The Adaptation Atlas delta hazards dataset provides high-resolution (0.05°, ~5 km) historical and future climate-related hazard indicators derived from downscaled and delta-method bias-corrected CMIP6 projections. The dataset covers four Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0, S...
| Autores principales: | , , , , , |
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| Formato: | Conjunto de datos |
| Lenguaje: | Inglés |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/179851 |
| _version_ | 1855527208521564160 |
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| author | Achicanoy Estrella, Harold Armando Ramirez Villegas, Julian Armando Rosenstock, Todd Stuart Steward, Peter Richard Youngberg, Brayden Castro Llanos, Fabio Alexander |
| author_browse | Achicanoy Estrella, Harold Armando Castro Llanos, Fabio Alexander Ramirez Villegas, Julian Armando Rosenstock, Todd Stuart Steward, Peter Richard Youngberg, Brayden |
| author_facet | Achicanoy Estrella, Harold Armando Ramirez Villegas, Julian Armando Rosenstock, Todd Stuart Steward, Peter Richard Youngberg, Brayden Castro Llanos, Fabio Alexander |
| author_sort | Achicanoy Estrella, Harold Armando |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The Adaptation Atlas delta hazards dataset provides high-resolution (0.05°, ~5 km) historical and future climate-related hazard indicators derived from downscaled and delta-method bias-corrected CMIP6 projections. The dataset covers four 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 five global climate models (ACCESS-ESM1-5, EC-Earth3, INM-CM5-0, MPI-ESM1-2-HR, MRI-ESM2-0) 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 saturation |
| format | Conjunto de datos |
| id | CGSpace179851 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | CGSpace1798512026-01-14T20:08:24Z Africa Adaptation Atlas Hazards - Delta method Achicanoy Estrella, Harold Armando Ramirez Villegas, Julian Armando Rosenstock, Todd Stuart Steward, Peter Richard Youngberg, Brayden Castro Llanos, Fabio Alexander agriculture climate change spatial data spatial analysis climatic data-climate data The Adaptation Atlas delta hazards dataset provides high-resolution (0.05°, ~5 km) historical and future climate-related hazard indicators derived from downscaled and delta-method bias-corrected CMIP6 projections. The dataset covers four 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 five global climate models (ACCESS-ESM1-5, EC-Earth3, INM-CM5-0, MPI-ESM1-2-HR, MRI-ESM2-0) 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 saturation 2025 2026-01-14T20:06:51Z 2026-01-14T20:06:51Z Dataset https://hdl.handle.net/10568/179851 en Open Access Achicanoy Estrella, H.A.; Ramirez Villegas, J.A.; Rosenstock, T.S.; Steward, P.R.; Youngberg, B.; Castro Llanos, F.A. (2025) Africa Adaptation Atlas Hazards - Delta method. https://doi.org/10.5281/zenodo.18164183 |
| spellingShingle | agriculture climate change spatial data spatial analysis climatic data-climate data Achicanoy Estrella, Harold Armando Ramirez Villegas, Julian Armando Rosenstock, Todd Stuart Steward, Peter Richard Youngberg, Brayden Castro Llanos, Fabio Alexander Africa Adaptation Atlas Hazards - Delta method |
| title | Africa Adaptation Atlas Hazards - Delta method |
| title_full | Africa Adaptation Atlas Hazards - Delta method |
| title_fullStr | Africa Adaptation Atlas Hazards - Delta method |
| title_full_unstemmed | Africa Adaptation Atlas Hazards - Delta method |
| title_short | Africa Adaptation Atlas Hazards - Delta method |
| title_sort | africa adaptation atlas hazards delta method |
| topic | agriculture climate change spatial data spatial analysis climatic data-climate data |
| url | https://hdl.handle.net/10568/179851 |
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