Bureau of Economic Geology

output

19962019

most citedCombining Physically-Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn from Mismatch?

226 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

A. Sun2 · h 44
B. Ghanbarian2 · h 27
A. Mukherjee1 · h 69
Bjorn Engquist1 · h 13
Brittany D. Froese1 · h 16
B. Scanlon1 · h 80
D. Walling1 · h 8
Jingwei Hu1 · h 24
J. N. Pecina-Cruz1 · h 3
Junzhe Sun1 · h 17
Lexing Ying1 · h 53
L. Pareschi1 · h 51

collaborating institutions

The University of Texas at AustinUS8 papers
Agricultural Research ServiceUS1 paper
Beltsville Agricultural Research CenterUS1 paper
Bureau of Economic AnalysisUS1 paper
California Institute of TechnologyUS1 paper
Chinese Academy of SciencesCN1 paper
EarthTech International (United States)US1 paper
Indian Institute of Technology KharagpurIN1 paper
Institute of Geodesy and GeophysicsCN1 paper
University of FerraraIT1 paper
University of Southern CaliforniaUS1 paper

Showing 2019Show all

1 paper · 1 filter

physics.geo-ph2019★ 226 cited

Combining Physically-Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn from Mismatch?

Alexander Y. Sun, Bridget R. Scanlon, Zizhan Zhang +4

Global hydrological and land surface models are increasingly used for tracking terrestrial total water storage (TWS) dynamics, but the utility of existing models is hampered by con…