Precipitation data Aniabisi Down slope/Ghana Measured parameters: Precipitation Timestep: 10 minutes

In situ infiltration rate measurements using the Hood infiltrometer.

Climate data Yabogane/Burkina Faso Measured parameters: Air temperature Relative humidity Solar radiation Precipitation Windspeed Winddirection Timestep: daily

Robust risk assessment requires accurate flood intensity area mapping to allow for the identification of populations and elements at risk. However, available flood maps in West Africa lack spatial variability while global datasets have resolutions too coarse to be relevant for local scale risk assessment. Consequently, local disaster managers are forced to use traditional methods such as watermarks on buildings and media reports to identify flood hazard areas. In this study, remote sensing and Geographic Information System (GIS) techniques were combined with hydrological and statistical models to delineate the spatial limits of flood hazard zones in selected communities in Ghana, Burkina Faso and Benin. The approach involves estimating peak runoff concentrations at different elevations and then applying statistical methods to develop a Flood Hazard Index (FHI). Results show that about half of the study areas fall into high intensity flood zones. Empirical validation using statistical confusion matrix and the principles of Participatory GIS show that flood hazard areas could be mapped at an accuracy ranging from 77% to 81%. This was supported with local expert knowledge which accurately classified 79% of communities deemed to be highly susceptible to flood hazard. The results will assist disaster managers to reduce the risk to flood disasters at the community level where risk outcomes are first materialized.

Precipitation data Tambiri-2/Burkina Faso Measured parameters: Precipitation Timestep: hourly

Within WASCAL a large number of heterogeneous data are collected. These data are mainly coming from: - different initiated research activities within WASCAL (Research Program, Graduate Studies Program) - the hydrological-meteorological, remote sensing, biodiversity and socio economic observation networks within WASCAL, - the activities of the WASCAL Competence Center in Ouagadougou, Burkina-Faso. The WASCAL Data Infrastructure (the WADI) within the Competence Center will serve as a database node providing scientists and decision makers in West Africa with reliable and well accessible data and data products related to climate change and adapted land use. Furthermore, the WADI will play a substantial role as a new and innovative node in the West-African network where research programs, projects and institutions working on climate change and related topics share data and knowledge. In WADI, the WASCAL Geoportal is used by scientists to upload data files to the WASCAL database and to complement them with detailed descriptions (metadata). The metadata are uploaded into the metadata catalogue, which is searchable by using the WASCAL Data Discovery or the WASCAL Geoportal. The manual describes in detail how to create metadatasets, to manage access priveleges, to implement metadata management workflows and how to prepare data for exchange following the standards used in WASCAL.

Precipitation data Ouri-Yori-2/Benin Measured parameters: Precipitation Timestep: daily

Precipitation data Lare/Burkina Faso Measured parameters: Precipitation Timestep: daily