Long-term spatial-temporal trends and variability of rainfall over Eastern and Southern Africa

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dc.contributor.authorMuthoni, Francis Kamau
dc.contributor.authorOdongo, Vincent Omondi
dc.contributor.authorOchieng, Justus
dc.contributor.authorMugalavai, Edward M
dc.contributor.authorMourice, Sixbert Kajumula
dc.contributor.authorHoesche-Zeledon, Irmgard
dc.contributor.authorMwila, Mulundu
dc.contributor.authorBekunda, Mateete
dc.date.accessioned2023-07-22T13:42:23Z
dc.date.available2023-07-22T13:42:23Z
dc.date.issued2019
dc.descriptionJournal Articleen_US
dc.description.abstractThis 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.en_US
dc.identifier.urihttp://www.suaire.sua.ac.tz/handle/123456789/5437
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectspatial-temporalen_US
dc.subjectrainfallen_US
dc.subjectAfricaen_US
dc.titleLong-term spatial-temporal trends and variability of rainfall over Eastern and Southern Africaen_US
dc.typeArticleen_US
dc.urlhttps://doi.org/10.1007/s00704-018-2712-1en_US

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