Progress in Large-Scale Hydrology Simulation Technologies (Invited)

In recent decades, many regions worldwide have faced severe natural hazards such as floods and droughts, leading to significant loss of life, economic damage, infrastructure destruction, and public health issues. In 2022, the global economic impact of natural disasters reached 313 billion U.S. dollars. Large-scale hydrology modeling tools and systems are essential for tackling a variety of water-related challenges, promoting sustainable development, and adapting to climate change effects. Numerous large-scale hydrological modeling systems have been created for flood modeling and mapping, forecasting, and operational applications. In addition to in-situ data, various remote sensing datasets are available for monitoring and quantifying river systems globally. These datasets offer opportunities to enhance hydrological predictions and integrate data into large-scale models. They also underscore the need for collaborative efforts among different agencies and services. This presentation will discuss several key tools, applications, and systems developed through collaborative efforts among organizations and identify critical requirements and gaps that need to be addressed within the community.