DATALAKES: Heterogeneous data platform for operational modeling and forecasting of Swiss lakes

The project in a nutshell

The objective of this project is to advance the forecasting capabilities of the data-driven hydrological and ecological lake modeling algorithms using methodologies inspired by data science and accelerated by high performance computing. The resulting framework aims at accurate data assimilation and uncertainty quantification in both model parameters and the associated forecasts.

DATALAKES project is a collaboration with the Swiss Data Science Center (SDSC), EPF Lausanne and ETH Zurich, aiming at a sensor-to -frontend data platform providing and analyzing the dynamics of lake ecosystems at high spatial and temporal resolutions.

Team members

Back to Past Projects