GlobalMass team member Maike Schumacher is co-author on a new paper (‘Assessing sequential data assimilation techniques for integrating ‘) recently accepted for publication in Advances in Water Resources. data into a hydrological model
In the study, the authors use terrestrial water storage data products from the Gravity Recovery And Climate Experiment (GRACE) to improve estimations from a hydrological model. The performance of different data assimilation techniques is assessed for incorporating the data into the World-Wide Water Resources Assessment (W3RA) model.
Independent in-situ measurements of groundwater level from the Murray-Darling Basin, Australia, are used to evaluate the results. The results indicate that all of the assessed techniques improve the estimation of water storage by the W3RA model, with the best results decreasing modelled groundwater estimation errors by over 30%.