This study introduces a reproducible and integrated framework for gauge network design for tracking surface water availability in a citizen science framework. For identifying the optimal number and location of gauges, the framework uses Monte Carlo simulations. With randomized selection of gauges from an existing high-density network, the framework does not impose a single optimal solution but rather provides a range of optimal solutions, allowing water managers the freedom to select the number of gauges and locations in accordance with their specific needs. Using the methodology, the study revealed how a strategic placement of gauges can potentially improve the estimation of surface water storage variations. The study findings can be used to enhance the assessment of lake products derived from missions such as the Surface Water and Ocean Topography (SWOT).

本研究介绍了一种可重复的集成监测网络设计框架，用于在公民科学框架中跟踪地表水的可用性。为了确定仪表的最佳数量和位置，该框架使用蒙特卡罗模拟。通过从现有的高密度网络中随机选择仪表，该框架不会强加单一的最佳解决方案，而是提供一系列最佳解决方案，使水管理人员能够根据其具体需求自由选择仪表的数量和位置。利用该方法，该研究揭示了仪表的战略放置如何能够潜在地改善地表水储存变化的估计。研究结果可用于加强对地表水和海洋地形（SWOT）等任务所产生的湖泊产品的评估。