PAUWES Data Portal
Burkina Faso
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Daily runoff at 7 Stations in Burkina Faso.
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Weekly Top Soil Moisture Data from 64 Points in the Dano Catchment, Burkina Faso, 2014-2016
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Weekly Soil Moisture at 30 cm Depth Data from 64 Points in the Dano Catchment, Burkina Faso, 2014-2016
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Report on on 17 Geo-electrical tomography transect at in Dano. The reports of the methodology, transects and a short interpretation of the transects. Device used for measurement is SYSCAL Pro switch 48 multi-electrodes equipement, 5m spacing.
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Weekly Soil Moisture at 50 cm Depth Data from 64 Points in the Dano Catchment, Burkina Faso, 2014-2016
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Hourly rainfall at 5 Stations in Burkina Faso.
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Livelihood zoning consists in identifying areas where rural people share relatively homogeneous living conditions, on the basis of a combination of biophysical and socio-economic determinants. The main criteria to establish livelihood zones are: the predominant source of income (livelihood activities); the natural resources available to people and the way they are used; and the prevailing agroclimatic conditions that influence farming activities. Patterns of livelihood vary from one area to another, based on local factors such as climate, soil or access to markets. The analysis delineates geographical areas within which people share similar livelihood patterns: source of living, access to food, farming practices, including crops, livestock and access to markets. The map of livelihood zones is the main output from a participatory mapping workshop and forms the basis for the overall AWM assessment. It describes and geographically locates the different country livelihood contexts, focusing on the main smallholders’ livelihood strategies, their water-related problems and other constraints for development, and the role agricultural water management plays for their livelihoods. An attribute table provides a detailed description of each livelihood zone. (Source: FAO, 2011)
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This data shows annual rainfall data of 2013 in Ghana and Burkina Faso. This rainfall data was extracted from Tropical Rainfall Measuring Mission (TRMM) dataset by NASA. Rainfall data based on TRMM is estimated on a global 0.25 ° x 0.25 ° grid over the latitude band 50 ° N-S within about seven hours of observation time.
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Weather Research and Forecasting Model version 3.5.1 (WRF) is forced by three global climate models (GCMs) under the Representative Concentrative Pathways 4.5 scenario (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). 3-hourly time-steps of simulated near-surface air temperature and relative humidity at l1°N, 3.04°W were extracted and hereby presented.
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Hydro-Metrical Data from the Bagré Station, Nakambé River Basin, Burkina Faso, 2006, 2009, 2016-2019
Discharge data at the Bagré station, Nakambé River. 3 sheets: Count of days with discharge measurements (débit) per year, Max of discharge (débit) per year, Daily discharge (débit) with unit m3/s. Time periods contain gaps.