TEAL WCA: climate data platform for planning solar photovoltaic and wind energy resources in West and Central Africa

This data platform entitled 'TEAL WCA: climate data platform for planning solar photovoltaic and wind energy resources in West and Central Africa' is a presentation of climate and energy resources data for two Sub-Saharan African regions. Climate change is now a fact and African countries are more vulnerable. To better prepare for mitigation and adaptation, projection information is needed. The challenge of climate model data output is that they are available at the global level and are associated with some biases. This makes studies at the country or sub-county level difficult especially impact study. This study aims to (i) downscale, (ii) bias-adjust, (iii) aggregate at country and sub-country levels, and (iv) estimate the wind power and solar power potential. Moreover, a database platform is built to make the prepared climate data and estimated energy potential dataset freely available for researchers, universities, and decision-makers in West and Central African countries.  This manuscript presents the performance of the approach and the distribution of climate and energy variables.