Data Assimilation Research Team Events / Media

The main goal of the SATREPS/PREVENIR project is to develop an impact-based early warning system for urban floods designed for two highly vulnerable urban basins in Argentina. The project proposes the collaboration between Japanese institutions which are world leaders in the development and operation of early warning systems (R-CCS, University of Osaka, ICHARM, and JMA), and Argentinean institutions (the National Meteorological Service, the National Water Institute and the National Research Council). This system will be the first of its kind in Argentina and will provide useful tools and recommendations for the implementation of similar systems in other parts of the world.
The project will address the challenge of early warning for urban flash floods from several complementary perspectives. One of them is to improve quantitative precipitation estimates. Real-time precipitation monitoring and nowcasting at the highest possible temporal frequency and spatial resolution are essential to anticipate flooding associated with heavy rainfall events. In this project, new precipitation estimation algorithms will be developed and evaluated. The developed algorithms will integrate remote sensing data using traditional methods and the power of machine learning. These algorithms will then be implemented for real-time monitoring of precipitation in the target basins.