Research Article
Statistical Downscaling of Global Climate Model MIROC_4h Outputs to Precipitation in Rwanda
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@INPROCEEDINGS{10.1007/978-3-319-98878-8_16, author={Nkusi Pearl and Mutabazi Alphonse}, title={Statistical Downscaling of Global Climate Model MIROC_4h Outputs to Precipitation in Rwanda}, proceedings={Innovations and Interdisciplinary Solutions for Underserved Areas. Second International Conference, InterSol 2018, Kigali, Rwanda, March 24--25, 2018, Proceedings}, proceedings_a={INTERSOL}, year={2018}, month={9}, keywords={Statistical downscaling MIROC_4h Precipitation Rwanda}, doi={10.1007/978-3-319-98878-8_16} }- Nkusi Pearl
Mutabazi Alphonse
Year: 2018
Statistical Downscaling of Global Climate Model MIROC_4h Outputs to Precipitation in Rwanda
INTERSOL
Springer
DOI: 10.1007/978-3-319-98878-8_16
Abstract
Statistically downscaled models for precipitation based on multiple linear regression were developed and validated in the four different climatological zones of Rwanda for period, 1961–1990. The validation of these monthly models was majorly based on the ability of the model to reproduce trends of rainfall for an independent period. The downscaled simulations suggest that there will generally be increases in precipitation for majority of the months and increases of over 15% in the known onset months of rain seasons. The dry months are also expected to experience slight variations for the Eastern zone.
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