Environmental management depends on high-quality monitoring and its meaningful interpretation. The combination of local weather dynamics, regional anthropogenic stresses and global environmental changes make the evaluation of monitoring information in dynamic freshwater systems a challenging task. While the lake ecosystems gather many complex biogeochemical interactions, they remain constrained by the same physical environment of mixing and transport. It is therefore crucial to obtain high-quality physical system insight. Three-dimensional hydrodynamic models are perfectly suited for providing such information. However, these models are complex to implement, and their use is often limited to modellers. Here, we aim to provide model output via a user-friendly platform to a broad audience ranging from scientists to public and governmental stakeholders.

We present a unified approach merging the apparently diverse interests through Meteolakes.ch, an online platform openly disseminating lake observations and three-dimensional numerical simulations in near real-time with short-term forecasts and data assimilation. Meteolakes is scalable to a broad range of devices, modular and distributed, hence allowing its expansion to other regions and hardware infrastructures. Since 2016, the platform has continuously provided timely synoptic lake information to more than 250,000 users. This web-based system was built not only to provide guidance to scientists in the design and analysis of field experiments and to foster interdisciplinary lake studies, but also to assist governmental agencies and professionals in the long-term policy and planning of water resources management. Finally, our system aimed at promoting awareness and understanding of the complexity of lakes and providing information to the public through user-friendly interfaces. This article details the design and operation of such a platform and its products. Applications are demonstrated by examples of a recent upwelling and a storm event. Both cases illustrate how Meteolakes help scientists in their quest for process understanding as well as water professionals and civil society in providing specific warnings.

环境管理取决于高质量的监视及其有意义的解释。本地天气动态，区域人为压力和全球环境变化的结合使动态淡水系统中监测信息的评估成为一项艰巨的任务。尽管湖泊生态系统聚集了许多复杂的生物地球化学相互作用，但它们仍然受到混合和运输的相同物理环境的约束。因此，获得高质量的物理系统见解至关重要。三维流体动力学模型非常适合提供此类信息。但是，这些模型实施起来很复杂，并且通常仅限于建模者使用。这里，

我们提出了一种统一的方法，通过Meteolakes.ch（一个在线平台，通过短期预报和数据同化，几乎实时地公开传播湖泊观测和三维数值模拟）来融合看似多样的利益。Meteolakes可扩展到模块化和分布式的各种设备，因此可以扩展到其他地区和硬件基础架构。自2016年以来，该平台持续向25万多名用户及时提供天气信息。建立这个基于网络的系统，不仅可以为科学家在野外实验的设计和分析中提供指导，并促进跨学科的湖泊研究，还可以协助政府机构和专业人员进行水资源管理的长期政策和规划。最后，我们的系统旨在提高人们对湖泊复杂性的认识和了解，并通过用户友好的界面向公众提供信息。本文详细介绍了这种平台及其产品的设计和操作。通过最近的上升流和暴风雨事件的例子来演示应用。这两个案例都说明了Meteolakes如何帮助科学家寻求过程理解，以及水专业人士和民间社会提供特定的警告。