Global Calibration and Data Assimilation

Developing an Ensemble Kalman Filter calibration and data assimilation (EnC/DA) approach for integrating geodetic and remote sensing data into a global hydrological model

Advancing global-scale hydrological modeling and the understanding of the global freshwater system by model development and calibration/data assimilation

Pareto-optimal calibration for multiple hydrological signatures and spatio-temporal patterns

Optimizing alternative GRACE data sets for calibration and data assimilation and validation of model results using independent data sets

Refined estimates of absolute water levels for inland waters from multi-mission satellite altimetry (WALESA)

Estimation of river discharge and surface water storage from spaceborne data: full catchment coverage with optimal space and time resolution

Error quantification and development of quality layers for global, daily remote sensing products for surface water and snow cover extent and dynamics

Estimation of global glacier mass changes

Validation of simulated TWS against GNSS

News

June, 2023 – New paper of Congo Basins’s freshwater resources

The newly published paper of Mohammad J. Tourian and its co-authors informs about the current availability and distribution of the Congo Basins’s freshwater resources which ensure the survival of about 120 million people.

Events

04. – 06.10.2023:

– ECR excursion to the TUM Laboratory of Hydraulic and Water Resources Engineering and to the permanent GNSS station of the DGFI-TUM on mountain Herzogstand,

– ECR workshop on “Proposal Writing” and our next
– GlobalCDA status meeting
at the DGFI-TUM in Munich, Germany.

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