Downscaled Climate Analysis on Historical, Current and Future Trends in the East African Community Region

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dc.contributor.author Mukhala, E.
dc.contributor.author Ngaina, Joshua N.
dc.contributor.author Maingi, N. W.
dc.date.accessioned 2019-02-06T08:31:16Z
dc.date.available 2019-02-06T08:31:16Z
dc.date.issued 2017
dc.identifier.citation KIPPRA Working Paper No. 21 2017 en_US
dc.identifier.isbn 9966058621
dc.identifier.uri http://www.climdev-africa.org/sites/default/files/DocumentAttachments/WP21_Downscaled%20Climate%20Changes%20Scenarios.pdf
dc.identifier.uri http://repository.seku.ac.ke/handle/123456789/4343
dc.description.abstract Understanding and confidence on climate change and its potential impacts have grown greatly over the last few years. While the evidence for climate change grows stronger, uncertainty prevails over the precise nature of these changes and their impacts at local and farm level. This study evaluates the climate variability and change in past, current and future climate in fve countries in the East African Community (EAC), namely Kenya, Tanzania, Uganda, Burundi and Rwanda using high resolution regional models under the Coordinated Regional Climate Downscaling Experiment (CORDEX). Trends of mean variability was determined using graphical, regression and Mann-Kendall test approaches for the past (1970-2000), current (2001-2014) and projected future climate change scenarios (Representative Concentration Pathways - RCPs - 4.5 wm-2 and 8.5 wm-2 for mid (2041-70) and end (2071-00) century. Over EAC, most of the models are inconsistent in representing spatial precipitation distribution. However, the study notes than ensemble precipitation from CORDEX well represented the rainfall climatology over EAC. Temperature felds are well represented by all the CORDEX models and the ensemble. The study notes that multimodel ensemble mean outperforms the results of individual models in most of the areas and time periods as assessed for both precipitation and temperature felds. Precipitation remained highly variable both in space and time. Temporal pattern of rainfall over EAC had a strong inter-annual rainfal variability associated with extreme events such as foods and droughts. Climate variability and change is expected to result to adverse macro socio-economic implications especially in agriculture and thus afect the livelihoods of populations in the region. Adapting to these changes will require the knowledge of their frequency and severity. Therefore, there is an urgent need for realistic adaptation options aimed at reducing the vulnerability of the environment, wildlife and human and support economic systems to cope with the consequences of recurrent climate extremes, variability and climate change en_US
dc.language.iso en en_US
dc.publisher Kenya Institute for Public Policy Research and Analysis (KIPPRA) en_US
dc.title Downscaled Climate Analysis on Historical, Current and Future Trends in the East African Community Region en_US
dc.type Other en_US


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