A new paradigm for improved water resource management using innovative water modelling techniques.

气候变化和澳大利亚干旱环境的威胁使得准确的水资源规划对可持续水资源管理至关重要。这一点在澳大利亚农村地区尤其重要，这些地区对稀缺的水资源有着相互竞争的需求，包括灌溉以维持农业社区，保持河流健康的充足流量，以及脆弱生态系统的季节性洪水。准确预测跨流域的关键水平衡要素对于改善水资源规划至关重要。利用空间数据的时间序列不断约束模型预测可以识别模型物理学中的弱点以进行校正，并使模型情景测试更加可靠，从而可以做出更好的水资源管理决策。

The threat of climate change and Australia's arid environment makes accurate water resource planning essential for sustainable water management. This is particularly relevant in rural Australian catchments with competing needs for scarce water resources, including irrigation to sustain farming communities, maintaining adequate flows for river health, and seasonal flooding for fragile eco-systems. Accurately predicting key water balance components across catchments is crucial for improved water resource planning. Continuously constraining model predictions with time series of spatial data can identify weaknesses in model physics for correction and make model scenario testing more reliable so better water management decisions can be made.