@article{fdi:010044292, title = {{U}sing general circulation model outputs to assess impacts of climate change on runoff for large hydrological catchments in {W}est {A}frica}, author = {{A}rdoin {B}ardin, {S}andra and {D}ezetter, {A}lain and {S}ervat, {E}ric and {P}aturel, {J}ean-{E}mmanuel and {M}ahe, {G}il and {N}iel, {H}{\'e}l{\`e}ne and {D}ieulin, {C}laudine}, editor = {}, language = {{ENG}}, abstract = {{T}he problem of using data outputs from general circulation models ({GCM}s) to assess the impacts of climate change on runoff in {W}est {A}frica is addressed. {T}he annual and monthly precipitation data from four {GCM}s used in the {T}hird {A}ssessment {R}eport of the {IPCC} were studied over the 1950-1998 period: the {CSIRO}-{M}k2, {ECHAM}4, {H}ad{CM}3 and {NCAR}-{PCM} models. {T}wo weaknesses common to all these models are their inability to reproduce rainfall volumes in the {S}ahelian zone, and their difficulty in simulating the seasonal dynamics of rainfall in the {G}uinean zone. {T}wo climate scenarios were then developed based on the changes predicted by the {H}ad{CM}3-{A}2 model, which aimed to generate time series for rainfall and potential evapotranspiration up to the end of the 21st century, in order to simulate probable future climatic conditions. {T}hese scenarios were used as input to the hydrological model {GR}2{M} to assess the impacts of climate change on the discharge of four main rivers: the {S}enegal, the {G}ambia, the {S}assandra and the {C}hari. {T}he results show that the possible future changes in runoff are highly dependent on rainfall and, hence, on the quality of the output of a given {GCM}.}, keywords = {climate change ; general circulation model ; climate scenarios ; rainfall ; runoff ; {W}est {A}frica}, booktitle = {}, journal = {{H}ydrological {S}ciences {J}ournal - {J}ournal des {S}ciences {H}ydrologiques}, volume = {54}, numero = {1}, pages = {77--89}, ISSN = {0262-6667}, year = {2009}, DOI = {10.1623/hysj.54.1.77}, URL = {https://www.documentation.ird.fr/hor/fdi:010044292}, }