Laluet P., Olivera-Guerra L., Rivalland V., Simonneaux Vincent, Inglada J., Bellvert J., Er-raki S., Merlin O. (2023). A sensitivity analysis of a FAO-56 dual crop coefficient-based model under various field conditions. Environmental Modelling and Software, 160, p. 105608 [13 p.]. ISSN 1364-8152.
Titre du document
A sensitivity analysis of a FAO-56 dual crop coefficient-based model under various field conditions
Environmental Modelling and Software, 2023,
160, p. 105608 [13 p.] ISSN 1364-8152
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.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020]
;
Bioclimatologie [072]
;
Télédétection [126]
