Peer-reviewedLicence not statedEarth and Space Science
Estimating Regional Snow Water Equivalent Using a Physics‐Informed Graph Convolution Network Model
9 affiliations
- 1Center for Satellite and Earth Science Research George Mason University Fairfax VA USA
- 2Center for Spatial Information Science and Systems George Mason University Fairfax VA USA
- 3Department of Computer Science George Mason University Fairfax VA USA
- 4Department of Civil and Environmental Engineering University of Washington Seattle WA USA
- 5eScience Institute University of Washington Seattle WA USA
- 6Earth System Science Interdisciplinary Center University of Maryland College Park MD USA
- 7Hydrological Sciences Laboratory NASA Goddard Space Flight Center Greenbelt MD USA
- 8Department of Earth Sciences Montana State University Bozeman MT USA
- 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 -