DERISC: Deep learning based Extreme Rainfall and flood warnIngs through Seamless foreCasting​
Publications
Meeting reports
Report of the Rainfall Hazards Workshop of 23 March 2023, Brussels | Adobe PDF | 81.5kb
Survey results
Summary of the Rainfall Hazards Survey of 2023 | Adobe PDF | 518.3kb
Scientific publications
Related publications by the team
- Tradowsky, J.S., Philip, S.Y., Kreienkamp, F. et al. (2023) Attribution of the heavy rainfall events leading to severe flooding in Western Europe during July 2021. Climatic Change 176, 90. https://doi.org/10.1007/s10584-023-03502-7.
- Imhoff, R.O., De Cruz, L., Dewettinck, W., Brauer, C.C., Uijlenhoet, R., van Heeringen, K.-J., et al. (2023) Scale-dependent blending of ensemble rainfall nowcasts and numerical weather prediction in the open-source pysteps library. Quarterly Journal of the Royal Meteorological Society, 149(753), 1335–1364. https://doi.org/10.1002/qj.4461.
Scientific presentations
- De Cruz, L., Van Ginderachter, M., Reyniers, M., et al. (2024) Project IMA: Lessons Learned from Building the Belgian Operational Seamless Ensemble Prediction System. EGU General Assembly 2024. Copernicus GmbH.
- Imhoff, R., Van Ginderachter, M., van Heeringen, K.-J., et al. (2024) Towards seamless rainfall and flood forecasting in the Netherlands: improvements to and validation of blending in pysteps. EGU General Assembly Conference Abstracts, 5849.
- Reinoso-Rondinel, R., Buekenhout, D., Van Ginderachter, M., et al. (2024) A flood prediction framework: integrating seamless predictions into urban hydrological modeling. EGU General Assembly Conference Abstracts, 10727.
- Villarreal-Jaime, D., Willems, P., De Cruz, L., Reinoso-Rondinel, R. (2024) Hydrological Modeling of Probabilistic Rainfall Forecasting for Impact-Based Flood Warning Systems. 12th European Conference on Radar in Meteorology and Hydrology. Book of Extended Abstracts, 88–92. Zenodo.