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 2020:

We are happy that the new paper of Deggim et al. (2021) is submitted and is currently under review for the journal ESSD. The paper is a joint effort of many GlobalCDA members and introduces two public GRACE level-3 correction data sets that may be useful for hydrology data assimilation, drought assessment, climate model validation, GIA inversion, etc.

Events

01. – 04. 12. 2020:

– GlobalCDA Statusmeeting and discussing next steps via Webex.
– Self-organized data assimilation workshop of the ECRs (Early Career Researcher) via zoom.

– Online workshop on “Career development through career funding” for PhDs.

02. – 03. 11. 2020:

– Online workshop on “Career development through career funding” for PostDocs.

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