Applications of TRMM-Based Multi-Satellite Precipitation Estimation for Global Runoff Prediction: Prototyping a Global Flood Modeling System

To offer a cost-effective solution to the ultimate challenge of building flood alert systems for the data-sparse regions of the world, this chapter describes a modular-structured Global Flood Monitoring (GFM) framework that incorporates satellite-based near real-time rainfall flux into a cost-effective hydrological model for flood modeling quasi-globally. This framework includes four major components: TRMM-based real-time precipitation, a global land surface database, a distributed hydrological model, and an open-access web interface. Retrospective simulations for 1998–2006 demonstrate that the GFM performs consistently at catchment levels. The interactive GFM website shows close-up maps of the flood risks overlaid on topography/population or integrated with the Google-Earth visualization tool. One additional capability, which extends forecast lead-time by assimilating QPF into the GFM, also will be implemented in the future.

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