Long-term trends in rainfall and temperature using high-resolution climate datasets in East Africa
Gebrechorkos, Solomon H., Hülsmann, Stephan and Bernhofer, Christian, (2019). Long-term trends in rainfall and temperature using high-resolution climate datasets in East Africa. Scientific Reports, 9(1), 1-9
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Article
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Sub-type Journal article Author Gebrechorkos, Solomon H.
Hülsmann, Stephan
Bernhofer, ChristianTitle Long-term trends in rainfall and temperature using high-resolution climate datasets in East Africa Appearing in Scientific Reports Volume 9 Issue No. 1 Publication Date 2019-08-06 Place of Publication London Publisher Springer Nature Start page 1 End page 9 Language eng Abstract Detecting changes in climate is a prerequisite for a better understanding of the climate and developing adaptation and mitigation measures at a regional and local scale. In this study long-term trends in rainfall and maximum and minimum temperature (T-max and T-min) were analysed on seasonal and annual time scales for East Africa. High resolution gridded rainfall (1981–2016) and temperature (1979–2010) data from international databases like the Climate Hazards Group are used. Long-term seasonal trend analysis shows a non-significant (except for small areas), decreasing (increasing) trend in rainfall in eastern (western) parts of Ethiopia and Kenya and a decreasing trend in large parts of Tanzania during the long rainy season. On the other hand, a non-significant increasing trend in large parts of the region is observed during the short rain season. With regard to annual trends, results largely confirm seasonal analyses: only a few significant trends in rainfall, but significant increasing trends in T-max (up to 1.9 °C) and T-min (up to 1.2 °C) for virtually the whole region. Our results demonstrate the need and added value of analysing climate trends based on data with high spatial resolution allowing sustainable adaptation measures at local scales. Copyright Holder The Authors Copyright Year 2019 Copyright type Creative commons ISSN 20452322 DOI 10.1038/s41598-019-47933-8 -
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