Statistically Downscaled Climate Dataset for East Africa
Gebrechorkos, Solomon H., Hülsmann, Stephan and Bernhofer, Christian, (2019). Statistically Downscaled Climate Dataset for East Africa. Scientific Data, 1-8
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Article
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Sub-type Journal article Author Gebrechorkos, Solomon H.
Hülsmann, Stephan
Bernhofer, ChristianTitle Statistically Downscaled Climate Dataset for East Africa Appearing in Scientific Data Publication Date 2019-04-15 Place of Publication Online Publisher Springer Nature Start page 1 End page 8 Language eng Abstract For many regions of the world, current climate change projections are only available at coarser spatial resolution from Global Climate Models (GCMs) that cannot directly be used in impact assessment and adaptation studies at regional and local scale. Impact assessment studies require high-resolution climate data to drive impact assessment models. To overcome this data challenge, we produced a station based climate projection (precipitation and maximum and minimum temperature) for Ethiopia, Kenya, and Tanzania using observed daily data from 211 stations obtained from the National Meteorological Agency of Ethiopia and international databases. Moreover, 26 large-scale climate variables derived from the National Centers for Environmental Prediction reanalysis data (1961–2005) and second generation Canadian Earth System Model (CanESM2, 1961–2100) are used. Statistical Down-Scaling Model (SDSM) is used to produce the required high-resolution climate projection by developing a statistical relationship between the large- and local-scale climate variables. The predictors are analysed more than 16458 times and we provided 20 ensembles for the current (1961–2005) and future (2006–2100, under RCP2.6, RCP4.5, and RCP8.5) climate. Copyright Holder The Authors Copyright Year 2019 Copyright type Creative commons DOI 10.1038/s41597-019-0038-1 -
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