The management of water resources among competing uses presents a complex technical and policy challenge. Integrated hydro-economic models capable of simulating the hydrologic system in irrigated and non-irrigated regions including the response of farmers to hydrologic constraints and economic and policy incentives, provide a framework to understand biophysical and socioeconomic implications of changing water availability. We present a transformative hydro-economic model of agricultural production driven by multi-sensor satellite observations, outputs from regional climate models, and socioeconomic data. Our approach overcomes the limitations of current decision support systems for agricultural water management and provides policymakers and natural resource managers with satellite data-driven, state-wide, operational models capable of anticipating how farmers allocate water, land, and other resources when confronted with new climate patterns, policy rules, or market signals. The model can also quantify how farming decisions affect agricultural water supplies. We demonstrate the model through an application in the state of Montana.

竞争用途之间的水资源管理提出了复杂的技术和政策挑战。能够模拟灌溉区域和非灌溉区域的水文系统的综合水文经济模型，包括农民对水文制约因素的响应以及经济和政策激励措施，提供了一个框架，以了解水资源供应变化对生物物理和社会经济的影响。我们提出了由多传感器卫星观测，区域气候模型的输出以及社会经济数据驱动的农业生产的变革性水经济模型。我们的方法克服了当前农业用水管理决策支持系统的局限性，并为决策者和自然资源管理者提供了由卫星数据驱动的全州范围，能够预测农民在面对新的气候模式，政策规则或市场信号时如何分配水，土地和其他资源的运营模型。该模型还可以量化农业决策如何影响农业供水。我们通过在蒙大拿州的应用程序演示了该模型。