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Bureau of Economic Analysis

United States

6 papers here468 citations across 6
fields
  • physics.geo-ph4
  • cs.CV1
  • econ.EM1
ROR 03b17a012OpenAlex

affiliations via OpenAlex

output
20102026
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
  • Abhishek Bihani1 · h 5
  • A. Mukherjee1 · h 69
  • A. Puttiwongrak1 · h 9
  • A. Sun1 · h 44
  • Bridget R Scanlon1 · h 1
  • B. Scanlon1 · h 80
  • B. Tapley1 · h 69
  • Cheng Chen1 · h 7
  • C. Landry1 · h 16
  • C. Leelasukseree1 · h 8
  • C. Wilson1 · h 13
  • David T. Jacho-Chávez1 · h 1
collaborating institutions
  • The University of Texas at AustinUS4 papers
  • Analysis Group (United States)US1 paper
  • Asian Institute of TechnologyTH1 paper
  • Bureau of Economic Geology1 paper
  • Chiang Mai UniversityTH1 paper
  • Chinese Academy of SciencesCN1 paper
  • EarthTech International (United States)US1 paper
  • Emory UniversityUS1 paper
  • Escuela Superior Politecnica del LitoralEC1 paper
  • Graz University of TechnologyAT1 paper
  • Indiana University BloomingtonUS1 paper
  • Indian Institute of Technology KharagpurIN1 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…

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