作者: S Bandyopadhyay , Samuel Buis , Laurent Ruiz , M Sekhar , K Sreelash
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摘要: For improved water management and effi ciency of use in agriculture, studies dealing with coupled crop-surface water-groundwater models are needed. Such integrated crop hydrology can provide accurate quantifi cation spatio-temporal variations balance parameters such as soil moisture store, evapotranspiration recharge a catchment. Performance crop-hydrology model would depend on the availability calibrated for various irrigated/rainfed crops also an knowledge hydraulic catchment at relevant scale. Moreover, should be designed so to enable use/assimilation recent satellite remote sensing products (optical microwave) order processes scales. In this study we present framework couple groundwater applications irrigated agricultural systems. We discuss calibration STICS methodology estimate by inversion using both ground based data. Using demonstrate feasibility estimation potential due spatially varying soil/crop matrix.