High-Resolution National-Scale Water Modeling Is Enhanced by Multiscale Differentiable Physics-Informed Machine Learning

Yalan Song, Tadd Bindas, Chaopeng Shen, Haoyu Ji, Wouter J.M. Knoben, Leo Lonzarich, Martyn P. Clark, Jiangtao Liu, Katie van Werkhoven, Sam Lamont, Matthew Denno, Ming Pan, Yuan Yang, Jeremy Rapp, Mukesh Kumar, Farshid Rahmani, Cyril Thébault, Richard Adkins, James Halgren, Trupesh Patel, Arpita Patel, Kamlesh Arun Sawadekar, Kathryn Lawson Acknowledgment of support from the U.S. Department of Energy, Office of Science…

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Improving differentiable hydrologic modeling with interpretable forcing fusion

Kamlesh Sawadekar, Yalan Song, Ming Pan, Hylke Beck, Rachel McCrary, Paul Ullrich, Kathryn Lawson, & Chaopeng Shen Acknowledgment of support from the U.S. Department of Energy, a Framework for Improving Analysis and Modeling of Earth System and Intersectoral Dynamics at Regional Scales (HyperFACETS). DOI: https://doi.org/10.1016/j.jhydrol.2025.133320 Abstract Atmospheric forcings for hydrologic models often contain significant errors, but traditional modifications only employ bias correction or distributional transformations…

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Machine Learning Analysis of Impact of Western US Fires on Central US Hailstorms

Xinming Lin, Jiwen Fan, Yuwei Zhang & Z. Jason Hou  Acknowledgment of support from the U.S. Department of Energy, Office of Science, Biological and Environmental Research Program, under the Earth System Model Development (ESMD) and MultiSector Dynamics, Earth and Environmental System Modeling (MSD) program area. DOI: https://doi.org/10.1007/s00376-024-3198-7 Abstract Fires, including wildfires, harm air quality…

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United States multi-sector land use and land cover base maps to support human and Earth system models

Jay Oliver & Ryan A. McManamay Acknowledgment of support from the U.S. Department of Energy, Office of Science, MultiSector Dynamics, Earth and Environmental System Modeling (MSD), and Regional & Global Model Analysis (RGMA) program areas. DOI: https://doi.org/10.1038/s41597-025-04713-6 Abstract Earth System Models (ESMs) require current and future projections of land use and landcover…

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Characterizing How Meteorological Forcing Selection and Parameter Uncertainty Influence Community Land Model Version 5 Hydrological Applications in the United States

Hisham Eldardiry, Ning Sun, Hongxiang Yan, Patrick Reed, Travis Thurber, and Jennie Rice Acknowledgment of support from the U.S. Department of Energy, Office of Science, MultiSector Dynamics, Earth and Environmental System Modeling (MSD) program area. DOI: https://doi.org/10.1029/2024MS004222 Abstract Despite the increasing use of large-scale Land Surface Models (LSMs) in predicting hydrological responses in extreme conditions,…

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Coupled Lake-Atmosphere-Land Physics Uncertainties in a Great Lakes Regional Climate Model

William J. Pringle, Chenfu Huang, Pengfei Xue, Jiali Wang, Khachik Sargsyan, Miraj B. Kayastha, T. C. Chakraborty, Zhao Yang, Yun Qian, Robert D. Hetland Acknowledgment of support from the U.S. Department of Energy, Office of Science, MultiSector Dynamics, Earth and Environmental System Modeling (MSD), and Regional & Global Model Analysis (RGMA) program areas. DOI:https://doi.org/10.1029/2024MS004337 Abstract This study develops a…

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Wind shadows impact planning of large offshore wind farms

Sara C. Pryor, and Rebecca J. Barthelmie Acknowledgment of support from the U.S. Department of Energy, Office of Science, MultiSector Dynamics, Earth and Environmental System Modeling (MSD), and Regional & Global Model Analysis (RGMA) program areas. DOI:https://doi.org/10.1016/j.apenergy.2024.122755 Abstract The technical potential offshore wind resource greatly exceeds current electricity use. However, areas suitable for…

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Urban Effect on Precipitation and Deep Convective Systems Over Dallas-Fort Worth

Xin Zhou, Fred Letson, Paola Crippa, and Sara C. Pryor Acknowledgment of support from the U.S. Department of Energy, Office of Science, MultiSector Dynamics, Earth and Environmental System Modeling (MSD), and Regional & Global Model Analysis (RGMA) program areas. DOI:https://doi.org/10.1029/2023JD039972 Abstract A range of multi-year observational data sets are used to characterize the…

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Structural Uncertainty in the Sensitivity of Urban Temperatures to Anthropogenic Heat Flux

Dan Li, Ting Sun, Jiachuan Yang, Ning Zhang, Pouya Vahmani, Andrew Jones Acknowledgment of support from the U.S. Department of Energy, Office of Science, MultiSector Dynamics, Earth and Environmental System Modeling (MSD) program area DOI:https://doi.org/10.1029/2024MS004431 Abstract One key source of uncertainty for weather and climate models is structural uncertainty arising from the fact that these…

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