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

July, 2022

We are excited to announce that the paper “Revising precipitation – water storages – vegetation signatures with GRACE-based data assimilation” by Helena Gerdener et al. was published in the Journal of Hydrology. It is freely accessible here until August 20.

Events

Upcoming event: 05. – 07.10.2022:

GlobalCDA meeting in Bonn, Germany.
01. – 02.03.2022:

GlobalCDA status meeting and discussing next steps in hybrid format – via zoom and at the GFZ in Potsdam, Germany.
02. – 03.03.2022:

– ECR workshop on “Work-Live-BValance and Resilience, including Gender and Diversity Aspects”.

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