Our lab has developed a high-resolution global streamflow simulation model with a 10 km resolution, providing detailed estimates of river flow even in regions without direct gauge data. This model addresses the limitations of costly and maintenance-intensive gauges, offering valuable information for applications such as flood risk assessment, water resource management, and evaluating climate change impacts. By filling data gaps and enabling informed decision-making, our model supports more effective water management across diverse regions.

Figure 1: Animation showing the progression of streamflow over time across the world. The map illustrates changes in river flow with varying colors indicating different flow intensities, tracking how water levels evolve due to rainfall, snowmelt, and other factors. The animation provides a dynamic view of streamflow patterns, highlighting areas of increasing or decreasing water flow.

Model streamflow simulation is vital for effective water resource management, particularly in regions where streamflow gauge data is scarce or absent. Streamflow gauges, while crucial for providing accurate measurements of water flow, are expensive to install and maintain, often requiring regular servicing and calibration to ensure reliability. This makes it impractical to deploy gauges universally across all areas, especially in remote or underserved regions. Even within areas covered by gauges, data gaps can occur due to malfunctions or temporary outages, leading to incomplete information about river flows.

Streamflow simulation models offer a valuable solution to these challenges by providing estimates of river flow in regions lacking direct gauge data. These models utilize meteorological data, land use patterns, and historical streamflow records to simulate water flow across different landscapes, including those where gauges are not present. This capability is particularly beneficial for hindcasting, which involves recreating historical flow conditions based on past weather and hydrological data. By doing so, these models fill in gaps where gauge data is missing, allowing for a more comprehensive understanding of historical and current streamflow patterns.

Our lab’s global streamflow simulation model, which provides data at a 0.1 degree (about 10 km) resolution, exemplifies this approach by offering detailed and global streamflow estimates. This high-resolution data can be applied in various critical areas, such as assessing flood risks, managing water resources, and evaluating the impacts of climate change on water availability. By leveraging our model’s global reach and resolution, stakeholders can make more informed decisions and address water management challenges more effectively, even in the absence of local gauge data.

Spatial Resolution: 0.1 degree (~10 km)

Temporal Resolution: 1 month

Time span: 2000 – Present

File format: NetCDF

Latency: 1 month