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UK Research and Innovations (2018)

Seamless seasonal to sub seasonal forecasts of flood risk analysis using Global Forecasting and Analysis System(GLOFAS) in Tana Basin Kenya

Flood Forecasting Kenya

Titre : Seamless seasonal to sub seasonal forecasts of flood risk analysis using Global Forecasting and Analysis System(GLOFAS) in Tana Basin Kenya

Pays/Région : Semi arid and arid region of Kenya

Durée : juin 18 - avr. 23

Référence projet : 2139797
Catégorie : Studentship Augustine Kiplagat Kiptum

Résumé
Tana River which is a 1000 Kilometres and being the longest river in Kenya flows through a semi arid and arid region of Kenya. It has may tributaries which includes Thika River originates from Mt. Kenya and Aberdares Range water towers and flows eastwards via Isiolo county and then turns south-east before it drains into Indian Ocean. despite the fact that the river provides livelihoods to the surrounding communities, it normally faces some of the extremes weather/climate events such as drought and flooding events.

At the end of this PhD research, it is expected that the uptake of flood forecasts by the local population will have improved and calamities resulting from flood vents will be reduced as well as address the factors that hinders the dissemination of the relevant flood information identified and addressed.

Objectives of this research will be to (i) Evaluate the predictability of flood events a seamless lead times of days to months (ii) Explore the potential application of scientific information in potential Forecast Based Action for flood preparedness initiative

The research will be conducted in the context of , and will be cognizant of the operation of flood risk management and preparedness in the study basin

Lead Research Organistion : University of Sussex

Financement : Natural Environment Research Council (NERC)

UK Research and Innovations

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