Towards Global Remote Discharge Estimation: Using the Few to Estimate The Many

Understand

Learning hydrologic models for accurate riverine flood prediction at scale is a challenge of great importance.

• One of the key difficulties is the need to rely on in-situ river discharge measurements, which can be quite scarce and unreliable, particularly in regions where floods cause the most damage every year.
• Accordingly, in this work we tackle the problem of river discharge estimation at different river locations.
• A core characteristic of the data at hand (e.g.