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Kenya 2016/17 Drought Analysis

Kenya 2016/17 Drought Analysis. Kenya Meteorological Department Joyce Kimutai. Past droughts events in Kenya. In 2010/11 , 3.7 million were affected Counties most impacted : Turkana,Mandera , Marsabit , Garissa , Wajir , Isiolo , and Tana River

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Kenya 2016/17 Drought Analysis

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  1. Kenya 2016/17 Drought Analysis Kenya Meteorological Department Joyce Kimutai March 2017

  2. Past droughts events in Kenya March 2017

  3. In 2010/11, 3.7 million were affected • Counties most impacted : Turkana,Mandera, Marsabit, Garissa, Wajir, Isiolo, and Tana River • In 2016/17 over 3 million by March 16th 2017 • The 12 counties in an alarm stage : Marsabit, Garissa, Mandera, Isiolo, Kwale, Turkana, West Pokot, Samburu, Tana River, Kilifi, Wajir and Lamu. Some expected to slide into the emergency phase in the coming weeks. • 11 counties at the alert stage: Baringo, Embu (Mbeere), Kajiado, Kitui, Meru (North), TharakaNithi, Laikipia, Makueni, Narok, Nyeri (Kieni) and TaitaTaveta. March 2017

  4. MAM 2011 OND 2010 MAM 2010 MAM 2016 OND 2016 ? March 2017

  5. Study area March 2017

  6. Methodology • Scientists from Kenya Met Department, World Weather Attribution and University of Nairobi collaborated on this analysis • Multiple methods of attribution science were used to look at the possible roles of climate change and La Nina in the drought. March 2017

  7. Results • The areas with the lowest rainfall in this drought are in the northwest and southeast parts of the country. • Trends indicate that the temperatures involved in this drought are hotter than they would have been without the influence of climate change. • There is no significant shift in rainfall amounts due to climate change, but the team cannot exclude small changes in the risk of poor rains • The depressed October-December rainfall was largely influenced by La Nina March 2017

  8. Recommendations • Temperature increase due to climate change can lead to a stress on water supply and livestock. In order to reduce future impacts of climate change this remains a priority in disaster management and agriculture planning. • The La Nina influence demonstrates the importance of managing climate variability-the regular year-to-year shifts in climate. • There is a high potential for using seasonal forecasts to trigger preventative actions, before the onset of a meteorological event, to reduce impacts. March 2017

  9. MARCH-APRIL-MAY 2017 RAINFALL OUTLOOK March 2017

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