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

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Main objective of project P1 is the development and implementation of an effective Ensemble Kalman Filter for the integration of data assimilation and parameter calibration with hydrological modelling. Foci within the first phase were simultaneously integrating multiple data sets and creating observation operators; and developing and investigating the ensemble-based model parameter calibration. After setting up a working environment, work in the 2nd phase will turn towards refining our method, comparing approaches across the RU, developing a global assimila-tion system including parameter calibration, and creating new quantitative descriptions of global-scale water fluxes and storages, including a characterization of the uncertainty.