%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Tramblay, Yves
%A Thiemig, V.
%A Dezetter, Alain
%A Hanich, L.
%T Evaluation of satellite-based rainfall products for hydrological modelling in Morocco
%D 2016
%L fdi:010068273
%G ENG
%J Hydrological Sciences Journal = Journal des Sciences Hydrologiques
%@ 0262-6667
%K Rainfall-runoff modelling ; satellite-based precipitation ; TRMM ; spatial interpolation ; Morocco ; water resources modelling
%K MAROC
%M ISI:000386425100004
%N 14
%P 2509-2519
%R 10.1080/02626667.2016.1154149
%U https://www.documentation.ird.fr/hor/fdi:010068273
%> https://www.documentation.ird.fr/intranet/publi/2016/11/010068273.pdf
%V 61
%W Horizon (IRD)
%X Several satellite-based precipitation estimates are becoming available at a global scale, providing new possibilities for water resources modelling, particularly in data-sparse regions and developing countries. This work provides a first validation of five different satellite-based precipitation products (TRMM-3B42 v6 and v7, RFE 2.0, PERSIANN-CDR, CMORPH1.0 version 0.x) in the 1785 km(2) Makhazine catchment (Morocco). Precipitation products are first compared against ground observations. Ten raingauges and four different interpolation methods (inverse distance, nearest neighbour, ordinary kriging and residual kriging with altitude) were used to compute a set of interpolated precipitation reference fields. Second, a parsimonious conceptual hydrological model is considered, with a simulation approach based on the random generation of model parameters drawn from existing parameter set libraries, to compare the different precipitation inputs. The results indicate that (1) all four interpolation methods, except the nearest neighbour approach, give similar and valid precipitation estimates at the catchment scale; (2) among the different satellite-based precipitation estimates verified, the TRMM-3B42 v7 product is the closest to observed precipitation, and (3) despite poor performance at the daily time step when used in the hydrological model, TRMM-3B42 v7 estimates are found adequate to reproduce monthly dynamics of discharge in the catchment. The results provide valuable perspectives for water resources modelling of data-scarce catchments with satellite-based rainfall data in this region.
%$ 062 ; 126 ; 020