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Spatio-temporal variability of dry and wet conditions over East Africa from 1982 to 2015 using quantile regression model
Authors:Kalisa  Wilson  Igbawua  Tertsea  Ujoh  Fanan  Aondoakaa  Igbalumun S.  Namugize  Jean Nepomuscene  Zhang   Jiahua
Affiliation:1.College of Automation, Qingdao University, Qingdao, 266071, China
;2.College of Computer Science and Technology, Qingdao University, Qingdao, 266071, China
;3.Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
;4.Department of Physics, Federal University of Agriculture, Makurdi, Nigeria
;5.Center for Sustainability and Resilient Infrastructure and Communities (SaRIC), School of the Built Environment and Architecture, London South Bank University, London, UK
;6.Rwanda Polytechnic, Integrated Polytechnic Regional Center, College of Kigali, Kigali, Rwanda
;
Abstract:Natural Hazards - Precipitation and temperature are critical climatic variables that drive catastrophic climatic events including droughts and floods. These variables continue to fluctuate, thereby...
Keywords:
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