Live display program

B.4
Hydrology 

Papers are solicited reporting on advances in hydrological applications based on GRACE and GRACE-FO data products, including signal interpretation and model assimilation, the assessment of hydrological trends and long-term water storage variations or GRACE and GRACE-FO data products that are optimized for terrestrial hydrology.

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Live display program
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Thu, 29 Oct, 09:15–18:45 (CET)
Thu, 29 Oct, 09:15–18:45 (CET)
Offline display program

Session assets

Thursday, 29 October 2020 | Virtual meeting room

Chairperson: Annette Eicker, Roelof Rietbroek
GSTM2020-24
Uncertainties of Terrestrial Water Storage Anomalies for Global Basins – A Comparison Between Modelled and Formal Covariances
Eva Boergens et al.
GSTM2020-50
GRACE-derived seasonal variations, a key to understanding aquifer sources, recharge and groundwater flow patterns
karem Abdelmohsen et al.
GSTM2020-22
Deep learning-based recovery of high-resolution terrestrial water storage from space-borne gravimetry and altimetry
Christopher Irrgang et al.
GSTM2020-43
GRACE a witness to the Recovery of the Tigris-Euphrates Hydrologic System
Mohamed Sultan et al.
GSTM2020-57
Multiple measures of water storage in monsoon Asia
Amanda Schmidt et al.
GSTM2020-69
GRACE/GRACE-FO observed terrestrial water storage influencing global grassland growth
Isabella Velicogna et al.
GSTM2020-70
Impact of ecological restoration in mainland China on the terrestrial water budget using GRACE/GRACE-FO and other data.
Isabella Velicogna et al.
Chairperson: Carmen Boening, Eva Boergens
GSTM2020-35
Water Cycle Extremes in the GRACE and GRACE-FO Data Record
Matthew Rodell and Bailing Li
GSTM2020-64
Accumulation and Dissipation of Water Associated with Flooding in the Missouri River Basin
Mackenzie Anderson and Donald Argus
GSTM2020-2
Exploration of Terrestrial Water Storage Characterization via Assimilation of Ground-based GPS Observations of Vertical Displacement and GRACE TWS Retrievals
Gaohong Yin et al.
GSTM2020-11
Improved Terrestrial Snow Mass via Multi-sensor Assimilation of Synthetic GRACE Terrestrial Water Storage Retrievals and Synthetic AMSR-E Brightness Temperature Spectral Differences
Jing Wang and Barton Forman
GSTM2020-5
Evaluation of land water storage prediction skill in CMIP5 decadal hindcasts by means of a GRACE-based data set
Laura Jensen et al.
GSTM2020-53
Reconstruction of GRACE Total Water Storage Through Automated Machine Learning
Alex Sun et al.
GSTM2020-56
Applications of Data‐Driven Techniques in Filling Temporal Gaps Within and Between GRACE and GRACE-FO Records
Mohamed Ahmed et al.