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  • Monthly Gross Primary Productivity (GPP) of natural vegetation (no cropland). Unit: kgC/m²/s Climate Input: MIROC5, CanESM, GFDL Downscaling method/bias correction: RCA3, QMBC, SOMD CO2 scenarios: B1 transient CO2, B2 constant CO2 at 1960 level (316.27ppm) Land use: land use is kept constant at the year 2000 distribution. Temporal Extent: 1961-2099 (monthly resolution) Spatial Extent: Africa Spatial Resolution: 0.5° grid cell 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 aims 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.

  • Harvested maize yield over growing season. Unit: gC/m2 Climate Input: MIROC5, CanESM, GFDL Downscaling method/bias correction: RCA3, QMBC, SOMD CO2 scenarios: B1 transient CO2, B2 constant CO2 at 1960 level (316.27ppm) Land use: land use is kept constant at the year 2000 distribution. Temporal Extent: 1961-2099 (annual resolution) Spatial Extent: Africa Spatial Resolution: 0.5° grid cell 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.

  • Grid cell-specific runoff, including surface runoff, lateral runoff, and percolation water. Inflow from neighboring cells is not included. Unit: mm Climate Input: MIROC5, CanESM, GFDL Downscaling method/bias correction: RCA3, QMBC, SOMD CO2 scenarios: B1 transient CO2, B2 constant CO2 at 1960 level (316.27ppm) Land use: land use is kept constant at the year 2000 distribution. Temporal Extent: 1961-2099 (monthly resolution) Spatial Extent: Africa Spatial Resolution: 0.5° grid cell 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 aims 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.

  • Categories  

    The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a consistent set of climate impact data across sectors and scales. It also provides a unique opportunity for considering interactions between climate change impacts across sectors through consistent scenarios. In this case, fixed-year direct human influences (e.g. land use, nitrogen deposition and fertilizer input, fishing effort).