Project Details


Drought monitoring and hydrological early warning system are important tools for
water resources management, and they must be further complemented by forecasting facilities that are well integrated with the EU’s Earth Observation data. In this project, based on Forootan and Mehrnegar's expertise, Bayesian-based Data Assimilation (DA) framework(s) will be developed to merge available satellite data with hydrological models to better understand and forecast the recent and future spatial-temporal changes in continental water storage and water fluxes.
Effective start/end date08/09/202207/08/2024

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 2 - Zero Hunger
  • SDG 6 - Clean Water and Sanitation
  • SDG 13 - Climate Action


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