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
Land suitability classes for wind electricity generation. Grid connected installations - practical scenario
The suitability maps, contain information on locations suitable for installation of the respective wind electricity generation systems in accordance with the restrictive criteria adopted. Locations are evaluated according to their suitability for onshore wind systems deployment according to topographical, legal, and social constraints, and well as factors that could facilitate or impede wind generation development. The present study focus exclusively on land suitability for the installation of onshore wind turbine and wind farm. The study is conducted on a regional scale. The results can be used for identification of potential areas of interest for solar generation deployment, and as a support for integration between electricity grid expansion and off-grid electrification policies. Grid connected installations - practical scenario: Installation connected to the electrical grid, ease of installation maximized
This dataset is under license Creative Commons. GRID-Geneva does not guarantee the quality and reliability of this dataset and GRID-Geneva assume no responsibility whatsoever for any direct or indirect damage and loss caused by use of this dataset.
High Resolution (12km) WRF-GFDL Simulated Near-Surface Dew Point Temperature 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, daily outputs of near-surface dew point temperature, 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. (2016): High Resolution (12km) WRF-GFDL Simulated Near-Surface Dew Point Temperature over West Africa, 1980 - 2009 (WASCAL Project). https://wascal-dataportal.org/geonetwork/?uuid=6aab9135-8014-434d-ad78-0076a09905ab
The model simulations starts in 1979 and run for 32 years at 3 hourly time step.Therefore, the daily mean of near-surface dew point temperature was extracted for the purpose of distribution. The first year of all simulations was discarded as model spin-up while the last 30 to 31 years were made available for further analysis.
Meteorological data (daily temp max) for Naivasha sub county, Kenya, 2018
Data was obtained for quantitative analysis
Data can be downloaded (after login) and used by members of PAUWES for processing and analysis. Re-distribution of data is not allowed. Data source citation is required. Citation: Meteorological data (daily temp max) for Naivasha sub county, Kenya, 2018. Kenya Meteorological Department
Daily Outputs of Near-Surface Air Temperature from the Low Resolution (60km) Regional Climate Model Simulations (WRF-ERAInterim) over West Africa, 1980 - 2010 (WASCAL Project)
Low resolution (60km) regional climate simulations were carried out by researchers at the 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 near-surface air temperature, obtained from the 3-hourly simulations of WRFv3.5.1, driven by ERA-Interim reanalysis, 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. (2016): Daily Outputs of Near-Surface Air Temperature from the Low Resolution (60km) Regional Climate Model Simulations (WRF-ERAInterim) over West Africa, 1980 - 2010 (WASCAL Project). https://wascal-dataportal.org/geonetwork/?uuid=5645b6f0-4899-448b-8578-edb6cb4b1559
The model simulations starts in 1979 and run for 32 years at 3 hourly time step.Therefore, the daily mean of near surface air temperature was extracted for the purpose of distribution. The first year of all simulations was discarded as model spin-up while the last 30 to 31 years were made available for further analysis.
Farmers' Perceptions & Adaptation to Climate Change Part VII: Fuelwood consumption; Dassari, Benin, 2014
This dataset is the seventh of a series of datasets addressing farmers' adaptation to climate change in West-Africa, specifically in Dano, Burkina Faso and Dassari, Benin. This data was obtained by interviews with 137 people from 17 communities in Dassari. It provides information on the household level in regard to biophysical and socio-economic data for agroforestry systems.
Not yet available. Publication in progress. In urgent cases contact the distributor to get access to the data. As long as not publicly available the following use restrictions must be considered: - The Data must not be redistributed to unauthorized persons as defined by the distributor; - The data can be copied and prcessed to create derivations by the authorized persons; - If publication results from using the data, the user agrees to acknowledge the author and/or give credit to the author, or, as scientifically appropriate, provide co-authorship to the author based on any direct contribution s/he may make to the research; - If a publication is made based on the data, a copy of the manuscript or abstract shall be sent in any case to the author not less than forty-five (45) days prior to the date of the publication. - Only anonymized data is accessible. In case access to the non anonymized data is required, please ask the distributor. Citation: Harou, I. L. (2017): Farmers' Perceptions & Adaptation to Climate Change Part VII: Fuelwood consumption; Dassari, Benin, 2014. https://wascal-dataportal.org/geonetwork/?uuid=453a0319-5a77-435f-9d34-bb3d29668947
Data was collected by an extensive, semi-structured field questionnaire in Dano, in April 2013. Survey results were primarily qualitative and entered into SPSS for further analysis.
Projected Future (2020-2049 and 2070-2099): Surface Downwelling Longtwave 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, deaccumulated daily outputs of surface downwelling longwave radiation, obtained from the 3-hourly simulations of WRFv3.5.1, driven by GFDL-ESM2M, 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): Projected Future (2020-2049 and 2070-2099): Surface Downwelling Longwave Radiation of the High Resolution (12km) Regional Climate Model Simulations (WRF-GFDL) over West Africa, (WASCAL Project). https://wascal-dataportal.org/geonetwork/?uuid=adf9524a-53c4-4e26-8c8c-45455383784c
Projected Future (2020-2049 and 2070-2099): TOA Incident Longwave Radiation of the High Resolution (12km) Regional Climate Model Simulations (WRF-HADGEM2) 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, deaccumulated daily outputs of TOA incident longwave 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): Projected Future (2020-2049 and 2070-2099): TOA Incident Longwave Radiation of the High Resolution (12km) Regional Climate Model Simulations (WRF-HADGEM2) over West Africa, (WASCAL Project). https://wascal-dataportal.org/geonetwork/?uuid=6ed8f32e-785c-4f33-aca6-0d967ebcfc15
Electrical load for the case study Ambatolampy, Madagascar, 2019
The data collection was done at the district of Ambatolampy, Madagascar, using questionnaire survey about the electrical load of the location for the purpose of the master dissertation in energy engineering.
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: Cohen, A. M. B. (2019): Electrical load for the case study Ambatolampy, Madagascar, 2019. https://dataportal.pauwes.dz/#/metadata/fedeb9ff-8cdb-4db9-80ad-584a55b9afdf
Microsoft excel was used to process the data
Projected Future (2020-2049):High Resolution (12km) WRF-MPI-ESM-MR Daily Maximum Near-Surface Air Temperature 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, the daily outputs of maximum near-surface air temperature, obtained from the 3-hourly simulations of WRFv3.5.1, driven by MPI-ESM-MR, 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. (2016): Projected Future (2020-2049):High Resolution (12km) WRF-MPI-ESM-MR Daily Maximum Near-Surface Air Temperature over West Africa, (WASCAL Project). https://wascal-dataportal.org/geonetwork/?uuid=4a570801-e024-4be5-b4d3-c41328e2a2bd
The model simulations starts in 2019 and run for 31 years at 3 hourly time step.Therefore, the daily mean of maximum near-surface air temperature was extracted for the purpose of distribution. The first year of all simulations was discarded as model spin-up while the last 30 years were made available for further analysis.
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)
Center for Development Research, Department C: Ecology and Natural Resources Management, University of Bonn