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

October, 2021

Helena Gerdener introduces the new 0.5° global land water storage (GLWS) data set based on GRACE and GRACE-FO data assimilation at the GRACE-FO Science Team Meeting (13.10.2021 at 6.20pm CET).

Events

09. – 10.11.2021:

“Gender equality workshop on self-presentation and networking” in Limburg an der Lahn, Germany

07. – 08.10.2021:

– GlobalCDA Statusmeeting and discussing next steps via zoom
– Self-organized ECRs (Early Career Researcher) meeting.

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