Seminar on a deep model for accurate coastal flood prediction

Prof. dr. Matej Kristan will have a seminar on a deep model (HIDRA) for accurate coastal flood prediction.

Abstract: Climate change is exponentially intensifying extreme coastal floods, which devastate local communities and economies. These events are anticipated to intensify in future, thus there is a pressing need to develop early warning systems to mitigate the damages. Prof. Kristan will present the HIDRA family of deep neural networks designed by an interdisciplinary team of computer vision experts and geophysicists. HIDRA is the first machine-learning method that outperforms the best geophysics sea surface height prediction model, it is half a million times faster and predicts the sea surface height for 3 days ahead with competitive accuracy. HIDRA is already used in daily prognosis by the Slovenian Environment Agency and has been integrated into the CMWF (European Centre for Medium-Range Weather Forecasts) products set.