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http://ir-library.mmust.ac.ke:8080/xmlui/handle/123456789/1589
Title: | Long-term spatial-temporal trends and variability of rainfall over Eastern and Southern Africa. |
Authors: | Muthoni, Francis Kamau Odongo, Vincent Omondi Ochieng, Justus Mugalavai, Edward M. Mourice, Sixbert Kajumula Zeledon, Irmgard Hoesche Mwila, Mulundu Bekunda, Mateete |
Keywords: | Long-term, spatial-temporal, trends, variability, rainfall,over |
Issue Date: | 20-Nov-2018 |
Publisher: | Theoretical and Applied Climatology |
Abstract: | This study investigates the spatial-temporal trends and variability of rainfall within East and South Africa (ESA) region. The newly available Climate Hazards group Infrared Precipitation with Stations (CHIRPS-v2) gridded data spanning 37 years (1981 to 2017) was validated against gauge observations (N = 4243) and utilised to map zones experiencing significant monotonic rainfall trends. Standardised annual rainfall anomalies revealed the spatial-temporal distribution of below and above normal rains that are associated with droughts and floods respectively. Results showed that CHIRPS-v2 data had a satisfactory skill to estimate monthly rainfall with Kling-Gupta efficiency (KGE = 0.68 and a high temporal agreement (r = 0.73) while also preserving total amount (β = 0.99) and variability (γ = 0.8). Two contiguous zones with significant increase in annual rainfall (3–15 mm year−1) occurred in Southwest Zambia and in Northern Lake Victoria Basin between Kenya and Uganda. The most significant decrease in annual rainfall (− 20 mm year−1) was recorded at Mount Kilimanjaro in Tanzania. Other significant decreases in annual rainfall ranging between − 4 and − 10 mm year−1 were observed in Southwest Tanzania, Central-South Kenya, Central Uganda and Western Rwanda. CHIRPS-v2 rainfall product provides reliable high spatial resolution information on amount of rainfall that can complement sparse rain gauge network in rain-fed agricultural systems in ESA region. The observed spatial-temporal trends and variability in rainfall are important basis for guiding targeting of appropriate adaptive measures across multiple sectors. |
URI: | https://doi.org/10.1007/S00704-018-2712-1 https://link.springer.com/article/10.1007/s00704-018-2712-1 http://r-library.mmust.ac.ke/123456789/1589 |
Appears in Collections: | Gold Collection |
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File | Description | Size | Format | |
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Long-term spatial-temporal trends and variability of rainfall over Eastern and Southern Africa..pdf | 335.83 kB | Adobe PDF | View/Open |
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