Etc and yield reduction for major crops in case study areas of Burkina, Malawi, Kenya, Sudan, Togo and Ghana (1980-2100). Input Parameters for Climate: daily Minimum and Maximum Temperature, Precipitation and solar radiation. Input Parameters for Soil: Texture, Depth, Drainage, Slope, pH, Organic content, Ece, EXP. Input Sources for Climate: 3 GCMs (MIROC5, CanESM2 and NOAA-GFDL) statistically downscaled (SOMDS) by UCT and dynamically downscaled (SMHI-RCM) from CORDEX experiment at 0.5°, RCP 8.5. Input Sources for Soil: information from WP6 and from HWSD. This data set has been produced in the framework of the "Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)" project, Work Package 3 (WP3). WP3 aimed at quantifying the sensitivity of vegetation productivity and water resources to seasonal, inter-annual and decadal variability in weather and climate, using impact models on agriculture and water. The available models in combination with developed datasets of land use and climate from WP2 were used to simulate crop yield and water resources. Simulations using short-term scenarios of future climate change (5-10 years) were used to identify regional differences in the climate sensitivity of crop production etc. Scenarios for the African agricultural/pastoral sectors were also made using longer model runs. Finally, tradeoffs and areas of risk and vulnerability were identified in relation to: - Water-related hazards; - Agricultural and pastoral performance; - Soil degradation. More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.

Maturity and Yield for major crops in case study areas of Burkina, Malawi, Kenya, Sudan, Togo and Ghana (1980-2100), under rainfed and irrigated conditions (constant and transient CO2). Input Parameters for Climate: daily Minimum and Maximum Temperature, Precipitation and solar radiation. Input Parameters for Soil: Texture, Depth, Drainage, Slope, pH, Organic content, Ece, EXP. Input Sources for Climate: 3 GCMs (MIROC5, CanESM2 and NOAA-GFDL) statistically downscaled (SOMDS) by UCT and dynamically downscaled (SMHI-RCM) from CORDEX experiment at 0.5°, RCP 8.5. Input Sources for Soil: information from WP6 and from HWSD. This data set has been produced in the framework of the "Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)" project, Work Package 3 (WP3). WP3 aimed at quantifying the sensitivity of vegetation productivity and water resources to seasonal, inter-annual and decadal variability in weather and climate, using impact models on agriculture and water. The available models in combination with developed datasets of land use and climate from WP2 were used to simulate crop yield and water resources. Simulations using short-term scenarios of future climate change (5-10 years) were used to identify regional differences in the climate sensitivity of crop production etc. Scenarios for the African agricultural/pastoral sectors were also made using longer model runs. Finally, tradeoffs and areas of risk and vulnerability were identified in relation to: - Water-related hazards; - Agricultural and pastoral performance; - Soil degradation. More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.

Suitability maps (produced through a combination of soil and climate suitability) for maize, millet and Sorghum, for baseline (1971-2000), 2025 (2010-2039), 2055 (2040-2069), and 2085 (2070-2099). Input Parameters for Climate: Minimum and Maximum Temperature, Precipitation. Input Parameters for Soil: Texture, Depth, Drainage, Slope, pH, Organic content, Ece, EXP Input Sources for Climate: 3 GCMs (MIROC5, CanESM2 and NOAA-GFDL) statistically downscaled by UCT at 0.5°, RCP 8.5. Input Sources for Soil: HWSD. This data set has been produced in the framework of the "Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)" project, Work Package 3 (WP3). WP3 aimed at quantifying the sensitivity of vegetation productivity and water resources to seasonal, inter-annual and decadal variability in weather and climate, using impact models on agriculture and water. The available models in combination with developed datasets of land use and climate from WP2 were used to simulate crop yield and water resources. Simulations using short-term scenarios of future climate change (5-10 years) were used to identify regional differences in the climate sensitivity of crop production etc. Scenarios for the African agricultural/pastoral sectors were also made using longer model runs. Finally, tradeoffs and areas of risk and vulnerability were identified in relation to: - Water-related hazards; - Agricultural and pastoral performance; - Soil degradation. More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.

Yield reduction maps for maize, millet and Sorghum, for 1990, 2020, 2050 and 2080. Input Parameters for Climate: Minimum and Maximum Temperature, Precipitation. Input Parameters for Soil: Texture, Depth, Drainage, Slope, pH, Organic content, Ece, EXP. Input Sources for Climate: 3 GCMs (MIROC5, CanESM2 and NOAA-GFDL) statistically downscaled by UCT at 0.5°, RCP 8.5. Input Sources for Soil: HWSD This data set has been produced in the framework of the "Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)" project, Work Package 3 (WP3). WP3 aimes at quantifying the sensitivity of vegetation productivity and water resources to seasonal, inter-annual and decadal variability in weather and climate, using impact models on agriculture and water. The available models in combination with developed datasets of land use and climate from WP2 were used to simulate crop yield and water resources. Simulations using short-term scenarios of future climate change (5-10 years) were used to identify regional differences in the climate sensitivity of crop production etc. Scenarios for the African agricultural/pastoral sectors were also made using longer model runs. Finally, tradeoffs and areas of risk and vulnerability were identified in relation to: - Water-related hazards; - Agricultural and pastoral performance; - Soil degradation. More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.

Length of growing season maps for maize, millet and Sorghum, for baseline (1971-2000), 2025 (2010-2039), 2055 (2040-2069), and 2085 (2070-2099). Input Parameters for Climate: Minimum and Maximum Temperature. Input Sources for Climate: 3 GCMs (MIROC5, CanESM2 and NOAA-GFDL) statistically downscaled by UCT at 0.5°, RCP 8.5. This data set has been produced in the framework of the "Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)" project, Work Package 3 (WP3). WP3 aimed at quantifying the sensitivity of vegetation productivity and water resources to seasonal, inter-annual and decadal variability in weather and climate, using impact models on agriculture and water. The available models in combination with developed datasets of land use and climate from WP2 were used to simulate crop yield and water resources. Simulations using short-term scenarios of future climate change (5-10 years) were used to identify regional differences in the climate sensitivity of crop production etc. Scenarios for the African agricultural/pastoral sectors were also made using longer model runs. Finally, tradeoffs and areas of risk and vulnerability were identified in relation to: - Water-related hazards; - Agricultural and pastoral performance; - Soil degradation. More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.