PAUWES Data Portal
PAUWES Data Portal (Pan African University, Institute for Water and Energy Sciences)
Pan African University, Institute for Water and Energy Sciences
Continents, countries, sea regions of the world.
Socio-economic Survey for Smallholder Farmers of Lake Cyohoha North Catchment, Rwanda, 2019
The data was collected in the catchment of Lake Cyohoha North to analyze socio-economic impact that the change in Land use/cover and lake degradation have had on smallholder farmers living within this catchment.
Data is licensed under Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) https://creativecommons.org/licenses/by-nc-sa/4.0/ Citation: Mudahemuka, P. (2019):Socio-economic Survey for Smallholder Farmers of Lake Cyohoha North Catchment, Rwanda, 2019. https://dataportal.pauwes.dz/#/metadata/c5929deb-3e66-4e8a-89ff-36ca745e0298
Average Wind Power Density at 80 meters in Togo and Benin south
Created by NOVELTIS for ECREEE during the ACP-EU project ECOWREX 2: Promoting Sustainable Energy Development through the use of Geospatial Technologies in West Africa This dataset shows the average Wind Power Density at 80 meter high over the year 2013. The average is calculated from hourly time series data generated by NOVELTIS meso-scale Numeric Weather Prediction system. The resolution is 4km x 4km. The unit is W/m2. Projection is latlon, EPSG 4326, WGS 84. This dataset is not indicated for local studies but only for regional comparison. The annual average was calculated from hourly time series data generated by NOVELTIS meso-scale Numeric Weather Prediction system over the full 2013 year. The values are calculated from NWP output extracted parameters: U = West-East component of the wind speed V = South-North component of the wind speed. ALT = inverse density AL = inverse perturbation density According to the following formula: WPD = 1/2* 1/(ALT+AL) * (WS)3 With WS = √(U2 + V2) The 2013 year was selected by NOVELTIS as TMY (typical meteorological year) through a regional climatic analysis for the period from 2000 to 2014. Minimum=32.834 W/m2 Maximum=231.152 W/m2 Mean=111.235 W/m2 StdDev=28.195 W/m2
The dataset is licensed under the Creative Commons Attribution-Share Alike 4.0 International license. You are allowed to: • Share : to copy, distribute and transmit the work • Remix : to adapt the work Under the following conditions: • Attribution – You must attribute the work giving reference to the original source. • Share alike – If you alter, transform, or build upon this work, you may distribute the resulting work only under the same or similar license to this one.
Projected Future (2020-2049 and 2070-2099): TOA Outgoing Shortwave Radiation of the High Resolution (12km) Regional Climate Model Simulations (WRF-GFDL) over West Africa, (WASCAL Project)
High resolution (12km) regional climate simulations were carried out by the researchers at Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research (KIT/IMK-IFU) as part of the West Africa Science Service Center on Climate Change and Adapted Land Use (WASCAL) Project. One of the goals of the WASCAL project is to provide the best accuracy in regional climate simulations over the entire West Africa region for a large proportion of the 21st century. The regional climate model employed in the project was the Weather Research and Forecasting Model version 3.5.1 (WRFv3.5.1) forced by three global circulation models (GCMs) under the Representative Concentrative Pathways 4.5 (RCP 4.5). The forcing GCMs are: the Max Planck Institute Earth System Model (MPI-ESM-MR, Stevens et al. 2013), the General Fluid Dynamics Laboratory Earth System Model (GFDL-ESM2M, Dunne et al. 2012), and the Hadley Global Environment Model (HadGEM2-ES, Collins et al. 2011). Further control runs with ERA-Interim reanalysis products (Dee et al. 2011) were also carried out for model verification and bias correction. Therefore, daily outputs of de-accumulated TOA outgoing shortwave radiation, obtained from the 3-hourly simulations of WRFv3.5.1, driven by GFDL-ESM2M, are hereby presented.
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. 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 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; Citation: Heinzeller, D., Olusegun, C., Kunstmann, H. (2017): Projected Future (2020-2049 and 2070-2099): TOA Outgoing Shortwave Radiation of the High Resolution (12km) Regional Climate Model Simulations (WRF-GFDL) over West Africa, (WASCAL Project). https://wascal-dataportal.org/geonetwork/?uuid=b238f650-2620-4078-845a-6982978b6b0a
Daily Outputs for TOA Incident Shortwave Radiation of the High Resolution (12km) Regional Climate Model Simulations (WRF-HADGEM2) over West Africa, 1980 - 2009 (WASCAL Project)
High resolution (12km) regional climate simulations were carried out by the researchers at Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research (KIT/IMK-IFU) as part of the West Africa Science Service Center on Climate Change and Adapted Land Use (WASCAL) Project. One of the goals of the WASCAL project is to provide the best accuracy in regional climate simulations over the entire West Africa region for a large proportion of the 21st century. The regional climate model employed in the project was the Weather Research and Forecasting Model version 3.5.1 (WRFv3.5.1) forced by three global circulation models (GCMs) under the Representative Concentrative Pathways 4.5 (RCP 4.5). The forcing GCMs are: the Max Planck Institute Earth System Model (MPI-ESM-MR, Stevens et al. 2013), the General Fluid Dynamics Laboratory Earth System Model (GFDL-ESM2M, Dunne et al. 2012), and the Hadley Global Environment Model (HadGEM2-ES, Collins et al. 2011). Further control runs with ERA-Interim reanalysis products (Dee et al. 2011) were also carried out for model verification and bias correction. Therefore, de-accumulated daily outputs of TOA incident shortwave radiation, obtained from the 3-hourly simulations of WRFv3.5.1, driven by HadGEM2-ES, are hereby presented.
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 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; Citation: Heinzeller, D., Olusegun, C., Kunstmann, H. (2017): Daily Outputs for TOA Incident Shortwave Radiation of the High Resolution (12km) Regional Climate Model Simulations (WRF-HADGEM2) over West Africa, 1980 - 2009 (WASCAL Project). https://wascal-dataportal.org/geonetwork/?uuid=75ca57ec-2a36-4337-b558-9fe8959e0222
Daily Outputs for Surface Upwelling Shortwave Radiation of the High Resolution (12km) Regional Climate Model Simulations (WRF-HADGEM2) over West Africa, 1980 - 2009 (WASCAL Project)
High resolution (12km) regional climate simulations were carried out by the researchers at Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research (KIT/IMK-IFU) as part of the West Africa Science Service Center on Climate Change and Adapted Land Use (WASCAL) Project. One of the goals of the WASCAL project is to provide the best accuracy in regional climate simulations over the entire West Africa region for a large proportion of the 21st century. The regional climate model employed in the project was the Weather Research and Forecasting Model version 3.5.1 (WRFv3.5.1) forced by three global circulation models (GCMs) under the Representative Concentrative Pathways 4.5 (RCP 4.5). The forcing GCMs are: the Max Planck Institute Earth System Model (MPI-ESM-MR, Stevens et al. 2013), the General Fluid Dynamics Laboratory Earth System Model (GFDL-ESM2M, Dunne et al. 2012), and the Hadley Global Environment Model (HadGEM2-ES, Collins et al. 2011). Further control runs with ERA-Interim reanalysis products (Dee et al. 2011) were also carried out for model verification and bias correction. Therefore, de-accumulated daily outputs of surface upwelling shortwave radiation, obtained from the 3-hourly simulations of WRFv3.5.1, driven by HadGEM2-ES, are hereby presented.
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 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; Citation: Heinzeller, D., Olusegun, C., Kunstmann, H. (2017): Daily Outputs for Surface Upwelling Shortwave Radiation of the High Resolution (12km) Regional Climate Model Simulations (WRF-HADGEM2) over West Africa, 1980 - 2009 (WASCAL Project). https://wascal-dataportal.org/geonetwork/?uuid=c04efc24-0d80-474a-b3e0-f3f1dad198d0
Daily Outputs for Surface Downwelling Shortwave Radiation of the High Resolution (12km) Regional Climate Model Simulations (WRF-HADGEM2) over West Africa, 1980 - 2009 (WASCAL Project)
High resolution (12km) regional climate simulations were carried out by the researchers at Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research (KIT/IMK-IFU) as part of the West Africa Science Service Center on Climate Change and Adapted Land Use (WASCAL) Project. One of the goals of the WASCAL project is to provide the best accuracy in regional climate simulations over the entire West Africa region for a large proportion of the 21st century. The regional climate model employed in the project was the Weather Research and Forecasting Model version 3.5.1 (WRFv3.5.1) forced by three global circulation models (GCMs) under the Representative Concentrative Pathways 4.5 (RCP 4.5). The forcing GCMs are: the Max Planck Institute Earth System Model (MPI-ESM-MR, Stevens et al. 2013), the General Fluid Dynamics Laboratory Earth System Model (GFDL-ESM2M, Dunne et al. 2012), and the Hadley Global Environment Model (HadGEM2-ES, Collins et al. 2011). Further control runs with ERA-Interim reanalysis products (Dee et al. 2011) were also carried out for model verification and bias correction. Therefore, de-accumulated daily outputs of surface downwelling shortwave radiation, obtained from the 3-hourly simulations of WRFv3.5.1, driven by HadGEM2-ES, are hereby presented.
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 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; Citation: Heinzeller, D., Olusegun, C., Kunstmann, H. (2017): Daily Outputs for Surface Downwelling Shortwave Radiation of the High Resolution (12km) Regional Climate Model Simulations (WRF-HADGEM2) over West Africa, 1980 - 2009 (WASCAL Project). https://wascal-dataportal.org/geonetwork/?uuid=3e0d9728-343d-441f-ab6a-3763dae184f7
Identified settlements for off-grid solutions by 2023
Location of settlements that could have access to electricity through off-grid solutions by 2023 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).
The dataset is under Creative Commons Attribution-ShareAlike 4.0 International License. You are free to: Share — copy and redistribute the material in any medium or format; Adapt — remix, transform, and build upon the material for any purpose, even commercially. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use; ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original; No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Bias-Corrected and raw CORDEX-AFRICA daily precipitation for Burkina Faso - ICHEC-EC-EARTH_historical_r3i1p1_DMI-HIRHAM5_v2 - Historical Period (19500101-20051231)
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
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 and raw CORDEX-AFRICA daily precipitation for Burkina Faso - ICHEC-EC-EARTH_historical_r3i1p1_DMI-HIRHAM5_v2 - Historical Period (19500101-20051231). https://wascal-dataportal.org/geonetwork/?uuid=785e7276-1095-4697-bb13-6e59908ad434
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).
Bias-Corrected and raw CORDEX-AFRICA daily precipitation for Burkina Faso - MOHC-HadGEM2-ES_rcp45_r1i1p1_KNMI-RACMO22T_v1 - RCP 4.5 (20060101-21001231)
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 - MOHC-HadGEM2-ES_rcp45_r1i1p1_KNMI-RACMO22T_v1 - RCP 4.5 (20060101-21001231). https://wascal-dataportal.org/geonetwork/apps/search/?uuid=0c812d15-ad12-4c0e-a952-640a7eec99fa
Bias-Corrected and raw CORDEX-AFRICA daily precipitation for Burkina Faso - CNRM-CERFACS-CNRM-CM5_historical_r1i1p1_SMHI-RCA4_v1 - Historical Period (19500101-20051231)
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 and raw CORDEX-AFRICA daily precipitation for Burkina Faso - CNRM-CERFACS-CNRM-CM5_historical_r1i1p1_SMHI-RCA4_v1 - Historical Period (19500101-20051231). https://wascal-dataportal.org/geonetwork/?uuid=e576d80a-4ea0-4ce5-b65e-1baa0b03fc30
Pan African University Institute of Water and Energy Sciences (PAUWES)
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research (KIT/IMK-IFU)
Institute of Geography, University of Augsburg
WASCAL (West African Science Service Center on Climate Change and Adapted Land Use)