Programme  OS3e Regional and nationwide scenarios 1  abstract 261

Climate and river runoff changes in West and Central Africa: past variability and prediction of water resources for the 21st century.

Author(s): G. Mahé, J.E. Paturel, S. Ardoin, J.F. Boyer, L. Casenave, A. Crès, A. Dezetter, C. Dieulin, S. Girard, M. Rescan, N. Rouché, E. Servat
HydroSciences Montpellier Maison des Sciences de l’Eau UM2 34095 Montpellier Cedex 5 France

Keyword(s): Climate, Runoff, West and Central Africa, Climatic variability, River modelling, Water resources, GCM, HadCM3, FRIEND-AOC

Article: abs261_article.doc
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Session: OS3e Regional and nationwide scenarios 1
AbstractThe aim of this study is first to show how climate and river

runoff have changed over the last century in West and Central Africa, and secondly from this knowledge, in

combination with river modelling, to predict the water resources for the 21st century for more than 350 river basins

of West and Central Africa, obtained from the FRIEND-AOC database (UNESCO IHP).
The GR2M rainfall-

runoff conceptual model is calibrated and validated for each runoff series
at a monthly time step. Rainfall are

calculated from an IRD monthly gridded database, available on a website, PE are calculated from the CRU

database. The reservoir height is taken as the Water Holding Capacity, given by the FAO soil Map of the World. All

data are averaged for half degree squares. We simulate future runoff using rainfall and PE data derived from the

GCM outputs HadCM3, scenario A2, according to a procedure for estimating “realistic” rainfall and PE values from

the GCM outputs.
The results are presented for 3 time horizons: 2020, 2050 and 2080. In 2020 and 2050 one

observe an important variability over West Africa, except over three regions: the North-West (Senegal-Guinea-

Mauritania) and the North of the Congolese basin, where runoff decrease as soon as the 2020 horizon; and the

Chari basin where runoff increase. In 2080 runoff decrease everywhere in West and Central Africa, except over the

Chari basin. The seasonnal runoff dynamic, and particularly the flood peak occurrence, might be also modified by the

forthcoming climatic fluctuations predicted by the HadCM3 GCM.
The bias due the use of a single GCM and a

single scenario of greenhouse gases emission variability output data set is discussed, and we present a comparison

between 4 GCM outputs over West Africa.

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