Africa Adaptation Atlas Hazards - Delta method

Citation

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

Abstract/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

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Contributes to SDGs

SDG 2 - Zero hungerSDG 13 - Climate action

CGIAR Action Areas

CGIAR Programs and Accelerators

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Review Status

Internal Review

Language

en

Access Rights

Open Access Open Access

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CC-BY-SA-4.0

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