Overview

Day-to-day water management is challenged by meteorological extremes, causing floods and droughts. Often operational water managers are informed too late about these upcoming events to be able to respond and mitigate their effects, such as by taking flood control measures or even requiring evacuation of local inhabitants. Therefore, the use of weather forecast information with hydrological models can be invaluable for the operational water manager to expand the forecast horizon and to have time to take appropriate action. This is called Anticipatory Water Management. Anticipatory actions may have adverse effects, such as when flood control actions turn out to have been unnecessary, because the actual rainfall was less than predicted. Therefore the uncertainty of the forecasts and the associated risks of applying Anticipatory Water Management have to be assessed. To facilitate this assessment, meteorological institutes are providing ensemble predictions to estimate the dynamic uncertainty of weather forecasts. This dissertation presents ways of improving the end-use of ensemble predictions in Anticipatory Water Management.

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9781138474697

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Richard Buamah (1966) is born in Ghana.He completed Bachelor of Science degree in Biochemistry at the Kwame Nkrumah University of Science and Technology (KNUST) in 1990. Five years later he completed his Master of philosophy degree programme in Biochemistry at KNUST. In 2000 he joined the UNESCO-IHE Institute for Water Education (the Urban Water and Infracture department) to pursue a number of graduate courses in Water Treatment followed by a PhD programme under sandwich construction. He has twelve publications to his credit and has presented papers and posters at several peer reviewed conferences including the Biennial World Water Congress of the IWA (2008, Vienna, Austria), the Leading Edge Technology Conference of theIWA (2008 Zurich, Switzerland) and UCOWR/NIWR conference, (2009, Durham, North Carolina – USA).

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