Generation of rainfall and air temperature data for climate projections over the Angola study region suitable for implementation in a hydrological model. Tasks include organization of data for processing for this project, sub-setting of the required datasets to the required domain, adaptation of bias correction scripts to the needs of this project, implementation of bias correction, re-gridding of bias-corrected data to the catchment level, writing final data to the requested format, selection of models representative to the ensemble of projections, preparation of the report summarizing the process and data.
Timeframe: 2022 – current
Subcontracted by: Nelius Scheepers, FNN International Ltd. (T/A HCV Africa)
Output: CMIP6 bias-corrected data in text file format, short report
For further details contact: Lisa van Ardenne, Piotr Wolski