Bias-corrected data set of daily precipitation for a study region in Burkina Faso and parts of Ghana, Togo and Benin. The precipitation simulations of the CORDEX Africa ensemble have been bias-corrected with a geostatistically based Quantile-Mapping with dry day correction. The distribution parameters probability of rainfall and mean precipitation on wet days were Kriged to the ungauged locations from the observed parameters of point measurements (172 stations in total) for nine season (dry season NDJF and remaining eight months individually). Observed precipitation was modelled with the exponential distribution, RCM precipitation was modeled with a Kernel Density Estimation of the CDF. Future scenarios were bias-corrected with the Double-Quantile-Mapping approach presented in http://onlinelibrary.wiley.com/doi/10.1029/2010WR009689/abstract All models were stretched to the Gregorian calendar (original CORDEX-RCMs are available as 360d/a, 365d/a and 365.25d/a) to facilitate running impact models. - Historical period: 1950-2005 (exception: SMHI-models start 1951) - calibration period - Future period: 2006-2100 (exception: models driven by HadGEM2 end 2099) - validation period - Temporal resolution: daily - Spatial resolution: 0.44° This is a test version - please inform me about any potential problems you may have with the data via manuel.lorenz@geo.uni-augsburg.de

Bias-corrected data set of daily precipitation for a study region in Burkina Faso and parts of Ghana, Togo and Benin. The precipitation simulations of the CORDEX Africa ensemble have been bias-corrected with a geostatistically based Quantile-Mapping with dry day correction. The distribution parameters probability of rainfall and mean precipitation on wet days were Kriged to the ungauged locations from the observed parameters of point measurements (172 stations in total) for nine season (dry season NDJF and remaining eight months individually). Observed precipitation was modelled with the exponential distribution, RCM precipitation was modeled with a Kernel Density Estimation of the CDF. Future scenarios were bias-corrected with the Double-Quantile-Mapping approach presented in http://onlinelibrary.wiley.com/doi/10.1029/2010WR009689/abstract All models were stretched to the Gregorian calendar (original CORDEX-RCMs are available as 360d/a, 365d/a and 365.25d/a) to facilitate running impact models. - Historical period: 1950-2005 (exception: SMHI-models start 1951) - calibration period - Future period: 2006-2100 (exception: models driven by HadGEM2 end 2099) - validation period - Temporal resolution: daily - Spatial resolution: 0.44° This is a test version - please inform me about any potential problems you may have with the data via manuel.lorenz@geo.uni-augsburg.de

Bias-corrected data set of daily precipitation for a study region in Burkina Faso and parts of Ghana, Togo and Benin. The precipitation simulations of the CORDEX Africa ensemble have been bias-corrected with a geostatistically based Quantile-Mapping with dry day correction. The distribution parameters probability of rainfall and mean precipitation on wet days were Kriged to the ungauged locations from the observed parameters of point measurements (172 stations in total) for nine season (dry season NDJF and remaining eight months individually). Observed precipitation was modelled with the exponential distribution, RCM precipitation was modeled with a Kernel Density Estimation of the CDF. Future scenarios were bias-corrected with the Double-Quantile-Mapping approach presented in http://onlinelibrary.wiley.com/doi/10.1029/2010WR009689/abstract All models were stretched to the Gregorian calendar (original CORDEX-RCMs are available as 360d/a, 365d/a and 365.25d/a) to facilitate running impact models. - Historical period: 1950-2005 (exception: SMHI-models start 1951) - calibration period - Future period: 2006-2100 (exception: models driven by HadGEM2 end 2099) - validation period - Temporal resolution: daily - Spatial resolution: 0.44° This is a test version - please inform me about any potential problems you may have with the data via manuel.lorenz@geo.uni-augsburg.de

Bias-corrected data set of daily precipitation for a study region in Burkina Faso and parts of Ghana, Togo and Benin. The precipitation simulations of the CORDEX Africa ensemble have been bias-corrected with a geostatistically based Quantile-Mapping with dry day correction. The distribution parameters probability of rainfall and mean precipitation on wet days were Kriged to the ungauged locations from the observed parameters of point measurements (172 stations in total) for nine season (dry season NDJF and remaining eight months individually). Observed precipitation was modelled with the exponential distribution, RCM precipitation was modeled with a Kernel Density Estimation of the CDF. Future scenarios were bias-corrected with the Double-Quantile-Mapping approach presented in http://onlinelibrary.wiley.com/doi/10.1029/2010WR009689/abstract All models were stretched to the Gregorian calendar (original CORDEX-RCMs are available as 360d/a, 365d/a and 365.25d/a) to facilitate running impact models. - Historical period: 1950-2005 (exception: SMHI-models start 1951) - calibration period - Future period: 2006-2100 (exception: models driven by HadGEM2 end 2099) - validation period - Temporal resolution: daily - Spatial resolution: 0.44° This is a test version - please inform me about any potential problems you may have with the data via manuel.lorenz@geo.uni-augsburg.de

Bias-corrected data set of daily precipitation for a study region in Burkina Faso and parts of Ghana, Togo and Benin. The precipitation simulations of the CORDEX Africa ensemble have been bias-corrected with a geostatistically based Quantile-Mapping with dry day correction. The distribution parameters probability of rainfall and mean precipitation on wet days were Kriged to the ungauged locations from the observed parameters of point measurements (172 stations in total) for nine season (dry season NDJF and remaining eight months individually). Observed precipitation was modelled with the exponential distribution, RCM precipitation was modeled with a Kernel Density Estimation of the CDF. Future scenarios were bias-corrected with the Double-Quantile-Mapping approach presented in http://onlinelibrary.wiley.com/doi/10.1029/2010WR009689/abstract All models were stretched to the Gregorian calendar (original CORDEX-RCMs are available as 360d/a, 365d/a and 365.25d/a) to facilitate running impact models. - Historical period: 1950-2005 (exception: SMHI-models start 1951) - calibration period - Future period: 2006-2100 (exception: models driven by HadGEM2 end 2099) - validation period - Temporal resolution: daily - Spatial resolution: 0.44° This is a test version - please inform me about any potential problems you may have with the data via manuel.lorenz@geo.uni-augsburg.de

Bias-corrected data set of daily precipitation for a study region in Burkina Faso and parts of Ghana, Togo and Benin. The precipitation simulations of the CORDEX Africa ensemble have been bias-corrected with a geostatistically based Quantile-Mapping with dry day correction. The distribution parameters probability of rainfall and mean precipitation on wet days were Kriged to the ungauged locations from the observed parameters of point measurements (172 stations in total) for nine season (dry season NDJF and remaining eight months individually). Observed precipitation was modelled with the exponential distribution, RCM precipitation was modeled with a Kernel Density Estimation of the CDF. Future scenarios were bias-corrected with the Double-Quantile-Mapping approach presented in http://onlinelibrary.wiley.com/doi/10.1029/2010WR009689/abstract All models were stretched to the Gregorian calendar (original CORDEX-RCMs are available as 360d/a, 365d/a and 365.25d/a) to facilitate running impact models. - Historical period: 1950-2005 (exception: SMHI-models start 1951) - calibration period - Future period: 2006-2100 (exception: models driven by HadGEM2 end 2099) - validation period - Temporal resolution: daily - Spatial resolution: 0.44° This is a test version - please inform me about any potential problems you may have with the data via manuel.lorenz@geo.uni-augsburg.de

Bias-corrected data set of daily precipitation for a study region in Burkina Faso and parts of Ghana, Togo and Benin. The precipitation simulations of the CORDEX Africa ensemble have been bias-corrected with a geostatistically based Quantile-Mapping with dry day correction. The distribution parameters probability of rainfall and mean precipitation on wet days were Kriged to the ungauged locations from the observed parameters of point measurements (172 stations in total) for nine season (dry season NDJF and remaining eight months individually). Observed precipitation was modelled with the exponential distribution, RCM precipitation was modeled with a Kernel Density Estimation of the CDF. Future scenarios were bias-corrected with the Double-Quantile-Mapping approach presented in http://onlinelibrary.wiley.com/doi/10.1029/2010WR009689/abstract All models were stretched to the Gregorian calendar (original CORDEX-RCMs are available as 360d/a, 365d/a and 365.25d/a) to facilitate running impact models. - Historical period: 1950-2005 (exception: SMHI-models start 1951) - calibration period - Future period: 2006-2100 (exception: models driven by HadGEM2 end 2099) - validation period - Temporal resolution: daily - Spatial resolution: 0.44° This is a test version - please inform me about any potential problems you may have with the data via manuel.lorenz@geo.uni-augsburg.de

Bias-corrected data set of daily precipitation for a study region in Burkina Faso and parts of Ghana, Togo and Benin. The precipitation simulations of the CORDEX Africa ensemble have been bias-corrected with a geostatistically based Quantile-Mapping with dry day correction. The distribution parameters probability of rainfall and mean precipitation on wet days were Kriged to the ungauged locations from the observed parameters of point measurements (172 stations in total) for nine season (dry season NDJF and remaining eight months individually). Observed precipitation was modelled with the exponential distribution, RCM precipitation was modeled with a Kernel Density Estimation of the CDF. Future scenarios were bias-corrected with the Double-Quantile-Mapping approach presented in http://onlinelibrary.wiley.com/doi/10.1029/2010WR009689/abstract All models were stretched to the Gregorian calendar (original CORDEX-RCMs are available as 360d/a, 365d/a and 365.25d/a) to facilitate running impact models. - Historical period: 1950-2005 (exception: SMHI-models start 1951) - calibration period - Future period: 2006-2100 (exception: models driven by HadGEM2 end 2099) - validation period - Temporal resolution: daily - Spatial resolution: 0.44° This is a test version - please inform me about any potential problems you may have with the data via manuel.lorenz@geo.uni-augsburg.de

Raw field data from the WASCAL core research sites Dano, Bontioli, Nazinga, and Bolgatanga on ecosystem services in terms of vegetation utilization, degradation and conservation by inhabitants of nine villages located in different savanna formations.

Raw field data from the WASCAL core research sites Dano, Bontioli, Nazinga, and Bolgatanga on dendrometric parameters of the woody vegetation within sampling plots, and observed basic ecological parameters of the sampling sites located in different savanna formations.