Exploring the use of data and models in transboundary water governance.

This article explores the use of data and models in transboundary water governance. It emphasizes the importance of timely, relevant, and reliable data for effective water management. The article discusses the challenges of collecting and sharing data across institutional boundaries and highlights the potential of new data collection methods, such as remote sensing and artificial intelligence. It also examines case studies from different regions of the world to illustrate the complexities and lessons learned in using data and models for transboundary water cooperation. The article concludes by emphasizing the need for communication, stakeholder engagement, and transdisciplinary approaches in water governance. [Extracted from the article]