%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Laluet, P.
%A Olivera-Guerra, L.
%A Rivalland, V.
%A Simonneaux, Vincent
%A Inglada, J.
%A Bellvert, J.
%A Er-raki, S.
%A Merlin, O.
%T A sensitivity analysis of a FAO-56 dual crop coefficient-based model under various field conditions
%D 2023
%L fdi:010086836
%G ENG
%J Environmental Modelling and Software
%@ 1364-8152
%K FAO-56 model ; Sobol sensitivity analysis ; Evapotranspiration ; Deep percolation ; Remote sensing ; Calibration
%M ISI:000914762000001
%P 105608 [13 ]
%R 10.1016/j.envsoft.2022.105608
%U https://www.documentation.ird.fr/hor/fdi:010086836
%> https://www.documentation.ird.fr/intranet/publi/2023-03/010086836.pdf
%V 160
%W Horizon (IRD)
%X FAO-56 dual crop coefficient (FAO-2Kc) based model are increasingly applied at large scale for agricultural water monitoring, requiring field-scale data over the spatial extent of interest. Given the lack of in-situ measurements, satellite products can be used to estimate indirectly the parameters through calibration. However, a lack of knowledge about model sensitivity can lead to suboptimal use of satellite data. This study aims to analyze the sensitivity of SAMIR, a FAO-2Kc-based model using satellite data. The Sobol method was applied for evapo-transpiration (ET) and deep percolation (DP) simulations on 37 contrasted agricultural seasons. Results indicate that SAMIR's sensitivity mainly depends on the modeled water stress. We proposed a proxy for the model sensitivity which can determine 84% (73%) of the ET (DP) among the agricultural seasons. An interaction analysis allowed reducing the calibration problem to the adjustment of only two parameters (a_Kcb and Zr_max), accounting for most of the sensitivity.
%$ 072 ; 126 ; 020