DTE Hydrology (Evolution)

ESA contract n. 4000129870/20/I-NB (CCN. N.1)

Period: September 2020 – April 2022
Partners: The consortium is leaded by CNR-IRPI (Perugia, Italy) with the collaboration of several partners in the DTE Hydrology and DTE Hydrology Evolution projects:

  • Vienna University of Technology (TU Wien, Austria)
  • CIMA Research Foundation (Italy)
  • Ghent University (Belgium)
  • Meteorological Environmental Earth Observation (MEEO, Italy)
  • Earth Observation Data Centre (EODC, Austria)
  • Eurac Research (Italy)
  • University of Bologna (Italy)

To explore the 4D DTE Hydrology datacube at 1 km resolution you can access the new platform here:
DTE Hydrology Platform


Both the European Union (EU) Green Deal and the new EU Data Strategy propose to bring together European scientific and industrial excellence to develop a very high precision digital model of the Earth, capitalising on an effective integration of the latest advances and increasing capabilities of Earth observation systems (satellites, in-situ data, citizen observations), high resolution Earth system modelling, Artificial Intelligence, Information and Communication Technology and High Performance Computing capacities. Specifically, there is the urgent need to develop a digital modelling platform to visualise, monitor and forecast natural and human activity on the planet in support of sustainable development and to predict and manage environmental disasters. This activity is particularly important in our times due to the major environmental and societal challenges that must be addressed.

The European Space Agency (ESA) DTE Hydrology project aims at fostering a fast step forward towards establishing a solid scientific and technical basis to realise a Digital Twin Earth focused on the water cycle, hydrology and its different applications. The project will capitalise on existing developments and incorporate the necessary elements to prototype a first instance of Digital Twin Earth for hydrological processes, as an integrated and interactive system providing the best possible reconstruction and simulations of the water cycle and the hydrological processes and its interactions with human activities at unprecedented resolutions and accuracies.


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