Global Calibration and Data Assimilation

GlobalCDA – Research Project Funded by

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

Events

07.12.2018:

GlobalCDA Statusmeeting (P1-9) in Frankfurt
06.12.2018:

PhD students Lecture Day (Remote sensing) in Frankfurt
05.12.2018:

Self-organized workshop of the ECRs (Early Career Researcher) in Frankfurt

News

18.10.2018: Recipients of the EGU Division Medals of 2019

It is our honor that two GlobalCDA principal investigators (PI) are recipients of the EGU Division Medals of 2019. Prof. Petra Döll has been awarded the Henry Darcy Medal and Prof. Tonie van Dam has been awarded the Vening Meinesz Medal. They will receive their prizes at the EGU 2019 General Assembly, which will take place in Vienna on 7–12 April 2019.

15.12.2017: Agreement of GlobalCDA Project from the DFG