@article{fdi:010044225, title = {{C}omparing available rainfall gridded datasets for {W}est {A}frica and the impact on rainfall-runoff modelling results, the case of {B}urkina-{F}aso}, author = {{M}ah{\'e}, {G}il and {G}irard, {S}. and {N}ew, {M}. and {P}aturel, {J}ean-{E}mmanuel and {C}res, {A}. and {D}ezetter, {A}lain and {D}ieulin, {C}laudine and {B}oyer, {J}ean-{F}rancois and {R}ouch{\'e}, {N}athalie and {S}ervat, {E}ric}, editor = {}, language = {{ENG}}, abstract = {{M}onthly rainfall data in {B}urkina-{F}aso, {W}est {A}frica, over a period of 77 years are extracted front three different gridded data sets, available either on the web: {CRU} ({C}limatic {R}esearch {U}nit, {N}orwich, {UK}), {SIEREM} ({H}ydro{S}ciences {M}ontpellier, {F}rance), or from the {N}ational {M}eteorological {C}enter of {B}urkina-{F}aso. {W}ith a view to modelling the runoff rain fall relationship at the monthly time step, these data are used at the 0.5 degrees*0.5 degrees scale. {D}espite mean, minimum, {S}tandard deviation and inter-annual variability being very similar for the period 1922 to 1998, the three gridded data sets used show an important spatial variability of values with time, and some differences are observed which lead to significantly different runoff-rain fail simulations. {C}omparison of the rainfall grids has shown that differences between the precipitation grids are more pronounced during years when the rainfall is lower; this also applies to areas where the rainfall is lower. {T}he three different rainfall grids produce differences in mean rainfall of 4 to 11%, depending oil the grids that are compared. {W}hile these results are obviously specific to the station networks and interpolation method used, they provide an indication of the differences that call arise. {I}t is recommended that as many stations as possible are used to better assess areal rainfall, {T}hese biases have a strong influence oil the results of the runoff-rainfall modelling (using the {GR}2{M} {C}onceptual model): the {N}ash criteria show differences of about 20% and calculated flow of 30% to 40%. {T}his study illustrates the levels of uncertainty when using available rainfall gridded data sets, for rainfall-runoff studies in {W}est {A}frican developing countries, which is important in the context of predicting water resources for the future from the {GCM} outputs for the 21(st) century.}, keywords = {{B}urkina-{F}aso ; database ; runoff ; rainfall ; rainfall-runoff modelling ; {W}est {A}frica}, booktitle = {}, journal = {{W}ater {S}a}, volume = {34}, numero = {5}, pages = {529--536}, ISSN = {0378-4738}, year = {2008}, URL = {https://www.documentation.ird.fr/hor/fdi:010044225}, }