b0813e56-8fb0-4732-9c76-a127e433f624 Manuel Lorenz manuel.lorenz@geo.uni-augsburg.de 2018-10-25T15:38:14 ISO 19115:2003/19139 1.0 WGS 84 (EPSG:4326) EPSG 7.9 Bias-Corrected and raw CORDEX-AFRICA daily precipitation for Burkina Faso - ICHEC-EC-EARTH_rcp45_r3i1p1_DMI-HIRHAM5_v2 - RCP 4.5 (20060101-21001231) 2018-10-25T13:15:00 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 Agricultural impact studies Hydrological modelling Climate change adapation Harald Kunstmann, KIT/IMK-IFU, Germany and Institut fuer Geographie, Universitaet Augsburg, Germany Patrick Laux, KIT/IMK-IFU, Germany Jan Bliefernicht, Institut fuer Geographie, Universitaet Augsburg, Germany Manuel Lorenz Institute of Geography, University of Augsburg manuel.lorenz@geo.uni-augsburg.de WWW:LINK-1.0-http--link http://i.imgur.com/KwoOiitl.jpg precipitation CORDEX bias correction climate change Western Africa Burkina Faso Ghana Togo Benin Region 2006-09-22 geonetwork.thesaurus.external.place.regions Publication in progress. Currently, download is only allowed to registered members of WASCAL, including Graduate Studies Program, CoC staff members, and partners of affiliated research programs as far as authorized by the WASCAL headquarter. An account in the Data Portal is required for download. Use restrictions are: - The data must not be re-distributed to unauthorized persons as defined by the data provider; - The data can be copied and processed to create derivations by the authorized persons; - If a publication results from using the data, the user agrees to cite the data provider and/or give credit to the data provider, or, as scientifically appropriate, provide co-authorship to the data provider based on any direct contribution s/he may make to the research - A publication is in progress, further information can be found in the EGU conference contribution http://meetingorganizer.copernicus.org/EGU2017/EGU2017-18296.pdf Citation: Lorenz, M., Bliefernicht, J., Kunstmann, H. and P. Laux (2017): Bias-Corrected CORDEX-AFRICA daily precipitation for Burkina Faso - ICHEC-EC-EARTH_rcp45_r3i1p1_DMI-HIRHAM5_v2 - RCP 4.5 (20060101-21001231). https://wascal-dataportal.org/geonetwork/?uuid=b0813e56-8fb0-4732-9c76-a127e433f624 climatologyMeteorologyAtmosphere -5.28 3.96 9.24 12.76 2006-01-01 2100-12-31 1 Text (.dat) WASCAL (West African Science Service Center on Climate Change and Adapted Land Use) data.manager@wascal.org https://wascal-dataportal.org/geonetwork/srv/eng/file.disclaimer?uuid=b0813e56-8fb0-4732-9c76-a127e433f624&fname=prBC_AFR-44_HIRHAM5_0.44_EC-EARTH_RCP45_20060101-21001231.rar&access=private WWW:DOWNLOAD-1.0-http--download prBC_AFR-44_HIRHAM5_0.44_EC-EARTH_RCP45_20060101-21001231.rar File to download WWW:LINK-1.0-http--link The study region is sparsely gauged. To avoid bias correcting with remote stations, the observed distribution at the ungauged locations was estimated by Kriging the parameters of the exponential distribution (probability of rainfall and mean precipitation on wet days) from 172 stations to the centers of 173 grid cells. The distribution parameters were calculated and interpolated for nine seasons (dry season NDJF and remaining eight months individually). With the interpolated parameters, virtual observations were simulated for the period 1950-2005 at every location. RCM precipitation was fitted with a Kernel Density Estimated CDF for the period 1950-2005. Future precipitation uses the historical RCM CDF (Double-Quantile-Mapping: http://onlinelibrary.wiley.com/doi/10.1029/2010WR009689/abstract) and the same threshold for the dry day correction as in the historical period. This procedure leads to a different distribution of precipitation in the future period (climate change signal).