%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Gonga-Saholiariliva, N.
%A Neppel, L.
%A Chevallier, Pierre
%A Delclaux, François
%A Savean, M.
%T Geostatistical estimation of daily monsoon precipitation at fine spatial scale : Koshi river basin
%D 2016
%L fdi:010068166
%G ENG
%J Journal of Hydrologic Engineering
%@ 1084-0699
%K Precipitation ; Spatial analysis ; Geostatistical analysis ; Correlation ; Asia (Nepal, China)
%K NEPAL ; KOCHI BASSIN
%M ISI:000383130100003
%N 9
%P art. 05016017 [15 ]
%R 10.1061/(asce)he.1943-5584.0001388
%U https://www.documentation.ird.fr/hor/fdi:010068166
%> https://www.documentation.ird.fr/intranet/publi/2016/10/010068166.pdf
%V 21
%W Horizon (IRD)
%X The use of appropriate space and time scales is fundamental to model the water budget in mountainous regions and to give appropriate replies to the initial requests. However, at a daily scale, the determination of precipitation behavior is not an easy task due to its high variability in mountainous areas. Seven years (2001-2008) of accurate precipitation maps (1km ground resolution) have been produced for the monsoon season over the Koshi River basin (Nepal) to be used for hydrological modeling. Due to field and topographical constraints, the geostatistical method of ordinary cokriging interpolation (OCK) was used to compute precipitation grids over a 57,800km2 basin with a rain gauge network made of 47 stations. Using elevation as a covariable, regionalization models were run to produce 976 daily precipitation grids. They describe temporal and spatial variability close to observed data. Comparisons of the OCK results to an Aphrodite's reference grid (resolution of 25km) show that the OCK grids are characterized by a higher spatial variability. Both OCK and Aphrodite data sets underestimate observations, with OCK grids showing the best fit to observed data. However, the OCK method, with an eventual adaptation of the cokriging model, appears consistent for situations where the resolution of the precipitation's spatial distribution is insufficient and an alternate explaining variable such as elevation is available.
%$ 062