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Research Highlights

Project: A Framework for Improving Analysis and Modeling of Earth System and Intersectoral Dynamics at Regional Scales (HyperFACETS)
Title Contact Institution Date
Climate Change and Its Influence on Water Systems Increases the Cost of Electricity System Decarbonization RGMA MSD Julia Szinai Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory Berkeley California USA
Tropical Cyclone Wind Shear-Relative Asymmetry in Reanalyses RGMA MSD Colin Zarzycki Pennsylvania State University
Increasing Extreme Hourly Precipitation Risk for New York City after Hurricane Ida RGMA Naresh Devineni The City University of New York (City College)
Response of the Upper Ocean to Northeast Pacific Atmospheric Rivers under Climate Change RGMA Christine Shields National Center for Atmospheric Research (NCAR)
Changing Windstorm Conditions Over the US Northeast (NE) from a Large Ensemble RGMA MSD Sara C Pryor Cornell University
Variability in Rain-on-Snow Event Detection: Discrepancies Across Climate Datasets RGMA Colin Zarzycki Penn State University
Mapping the Impact of Freeze Events on Aspen Health with Satellite Data MSD Yoshimitsu Chikamoto (yoshi.chikamoto@usu.edu) Utah State University - Department of Plants, Soils and Climate
How the last 40 years of US tropical cyclones may change under future climates RGMA MSD Colin Zarzycki Penn State University
How will the Flood Drivers of Rain-on-Snow Events Change Through the 21st Century? RGMA MSD Alan Rhoades Lawrence Berkeley National Laboratory
Deep learning insights into suspended sediment concentrations across the conterminous United States: Strengths and limitations RGMA Kathryn Lawson Pennsylvania State University
When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling RGMA Kathryn Lawson Pennsylvania State University
Upstream Surface Roughness and Terrain are Strong Drivers of Contrast in Tornado Potential Between North and South America RGMA Brian Medeiros National Center for Atmospheric Research (NCAR)
A Novel Emergent Constraint Approach for Refining Regional Climate Model Projections of Peak Flow Timing RGMA Benjamin Bass University of California - Los Angeles
Probing the limit of hydrologic predictability with the Transformer network RGMA Kathryn Lawson Pennsylvania State University
Is Bias Correction in Dynamical Downscaling Defensible? RGMA Mark Risser Lawrence Berkeley National Lab
Urban feedbacks to deep convection RGMA MSD Professor Sara C Pryor Cornell University
Understanding the Cascade: Removing GCM Biases Improves Dynamically Downscaled Climate Projections RGMA Stefan Rahimi University of California - Los Angeles
Object-Oriented Analysis Yields Compounding Short-Term Drought and Crop Heat-Stress Events RGMA MSD William J. Gutowski, Jr. Iowa State University
Improving Extreme Precipitation Predictions Through Convection-Permitting Downscaling RGMA MSD Yoshimitsu Chikamoto (yoshi.chikamoto@usu.edu) Utah State University - Department of Plants, Soils and Climate
Climate Change May Triple the Intensity of Extreme Precipitation from Mesoscale Storms RGMA MSD Ruby Leung Pacific Northwest National Laboratory
'Miracle' Drought-Busters Becoming Rarer in a Warming Colorado River Basin RGMA Simon Wang Utah State University
From Fires out West to Hailstorms in the Central US: Unraveling the Link with Machine Learning RGMA Jiwen Fan Argonne National Laboratory
Wind Shadows Impact Planning of Large Offshore Wind Farms RGMA MSD Sara C Pryor Cornell University
An Overview of the Western United States Dynamically Downscaled Dataset (WUS-D3) ESMD RGMA Stefan Rahimi University of California Los Angeles
Compound Hazard of Freezing Rain and Wind Gusts Across the Continental United States RGMA MSD Professor Sara C Pryor Cornell University
Offshore Wind – Powering the Future RGMA MSD Sara C Pryor Cornell University
Recurving Eastern Pacific hurricanes reduce Southwest U.S. Wildfires ESMD RGMA Ruby Leung Pacific Northwest National Laboratory
The Benefits of Moving Wind Turbines Offshore RGMA MSD Sara C Pryor Cornell University
Improving River Routing Using a Differentiable Muskingum-Cunge Model and Physics-Informed Machine Learning RGMA Kathryn Lawson Pennsylvania State University
LSTM-based data integration to improve snow water equivalent prediction and diagnose error sources RGMA Kathryn Lawson Pennsylvania State University

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