Bayesian Frameworks for Separating Global Ocean Mass, Hydrology, and Surface Deformation Signals from GRACE Data

Status	Finished
Effective start/end date	01/10/2017 → 31/12/2020

Exploring groundwater and soil water storage changes across the CONUS at 12.5 km resolution by a Bayesian integration of GRACE data into W3RA
Mehrnegar, N., Jones, O., Singer, M. B., Schumacher, M., Jagdhuber, T., Scanlon, B. R., Rateb, A. & Forootan, E., 2021, In: Science of the Total Environment. 758, 143579.
Research output: Contribution to journal › Journal article › Research › peer-review
15 Citations (Scopus)
An iterative ICA-based reconstruction method to produce consistent time-variable total water storage fields using GRACE and Swarm satellite data
Forootan, E., Schumacher, M., Mehrnegar, N., Bezděk, A., Talpe, M. J., Farzaneh, S., Zhang, C., Zhang, Y. & Shum, CK., 20 May 2020, In: Remote Sensing. 12, 10, 1639.
Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
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25 Citations (Scopus)

24 Downloads (Pure)
Comparing global hydrological models and combining them with GRACE by Dynamic Model Data Averaging (DMDA)
Mehrnegar, N., Jones, O., Singer, M. B., Schumacher, M., Bates, P. & Forootan, E., 6 Feb 2020, In: Advances in Water Resources. 138, 103528.
Research output: Contribution to journal › Journal article › Research › peer-review
12 Citations (Scopus)

Project Details