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Peer-reviewedLicence not statedEarth and Space Science

Estimating Regional Snow Water Equivalent Using a Physics‐Informed Graph Convolution Network Model

9 affiliations
  1. 1Center for Satellite and Earth Science Research George Mason University Fairfax VA USA
  2. 2Center for Spatial Information Science and Systems George Mason University Fairfax VA USA
  3. 3Department of Computer Science George Mason University Fairfax VA USA
  4. 4Department of Civil and Environmental Engineering University of Washington Seattle WA USA
  5. 5eScience Institute University of Washington Seattle WA USA
  6. 6Earth System Science Interdisciplinary Center University of Maryland College Park MD USA
  7. 7Hydrological Sciences Laboratory NASA Goddard Space Flight Center Greenbelt MD USA
  8. 8Department of Earth Sciences Montana State University Bozeman MT USA
  9. 9Department of Atmospheric, Oceanic and Earth Sciences George Mason University Fairfax VA USA

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BibTeX
@article{hung2026estimating,
  title = {{Estimating Regional Snow Water Equivalent Using a Physics‐Informed Graph Convolution Network Model}},
  author = {Wei‐Ting Hung and Ziheng Sun and Bowen Cui and Keren Zhou and Nicoleta Cristea and Justin Pflug and Annie Burgess and Daniel Tong},
  journal = {Earth and Space Science},
  year = {2026},
  month = nov,
  doi = {10.1029/2025ea004970},
  url = {https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2025EA004970},
}
RIS
TY  - JOUR
TI  - Estimating Regional Snow Water Equivalent Using a Physics‐Informed Graph Convolution Network Model
AU  - Wei‐Ting Hung
AU  - Ziheng Sun
AU  - Bowen Cui
AU  - Keren Zhou
AU  - Nicoleta Cristea
AU  - Justin Pflug
AU  - Annie Burgess
AU  - Daniel Tong
PY  - 2026
DA  - 2026/11/02
JO  - Earth and Space Science
DO  - 10.1029/2025ea004970
UR  - https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2025EA004970
SN  - 2333-5084
SN  - 2333-5084
ER  -