hydriv_lwiImproved #flood #forecast accuracy using computationally efficient latent 3D-variational data assimilation π . We are happy to have contributed to this research with colleagues from #ImperialCollegeLondon and #UniversityofFlorence. Check out the LNCS @ICCS 2025 paper for further details: #LAMAH-CE #EFAS #hydrology
https://link.springer.com/chapter/10.1007/978-3-031-97567-7_4
https://link.springer.com/chapter/10.1007/978-3-031-97567-7_4
Latent Three-Dimensional Variational Data Assimilation with Convolutional Autoencoder and LSTM for Flood Forecasting
Fast and accurate flood forecasting models are fundamental for managing flood risk and mitigating the negative impacts that floods can have on the society and the environment. For the pan-European area, currently, the European Flood Awareness System (EFAS) is the...