In light of the rapidly increasing regulation of rivers due to planned and constructed reservoirs, monitoring reservoir operations has become very crucial. The Reservoir Assessment Tool (RAT) framework was developed to monitor reservoir operations globally, using hydrological modeling and satellite observations. With feedback from stakeholders, improvements in the RAT framework are demonstrated in this study using the Mekong River Basin as an example. A novel multi-sensor reservoir area mapping technique was developed using complementary strengths of optical and SAR sensors at a 1–5 day temporal resolution, allowing the quantification of sub-weekly reservoir operations. Additionally, the skill of radar altimeters in the RAT framework was tested using the Jason-3 altimeter. Using in-situ data from three Thai reservoirs in the Mekong Basin, consistent improvements were observed as compared to the original RAT framework. A functionality for visualizing forecasted outflow was also added using historically inferred reservoir operations or stakeholder-driven target storage expectations.

鉴于规划和建设水库对河流的管制迅速增加，监测水库运行变得非常重要。水库评估工具 (RAT) 框架旨在利用水文模型和卫星观测监测全球水库作业。根据利益相关者的反馈，本研究以湄公河流域为例展示了 RAT 框架的改进。利用光学和 SAR 传感器的互补优势，在 1-5 天的时间分辨率下开发了一种新的多传感器储层区域测绘技术，允许量化次周的储层作业。此外，使用 Jason-3 高度计测试了 RAT 框架中雷达高度计的技能。利用湄公河流域三个泰国储层的现场数据，与原始 RAT 框架相比，观察到了一致的改进。还使用历史推断的水库作业或利益相关者驱动的目标存储预期添加了用于可视化预测流出的功能。