Optimized Local Time-Stepping for the Ocean and Atmosphere
ESMD
Jeremy Lilly
Los Alamos National Laboratory
2025-01
Tropical Cyclones Pose Growing Risk to Offshore Wind Energy
MSD
David Judi
Pacific Northwest National Laboratory
2024-12
Discrepancies in Urban Land Estimates Lead to Difficulties in Quantifying Climate Risks
ESMD
RGMA
MSD
TC Chakraborty
Pacific Northwest National Laboratory
2024-10
Earth System Model Simulates a Raised Coastal Groundwater Table Caused by Sea-Level Rise
RGMA
Zeli Tan
Pacific Northwest National Laboratory
2024-08
Understanding Resilience in Coastal Wetlands Using a Multi-Method Model
ESMD
Zeli Tan
Pacific Northwest National Laboratory
2024-07
Stronger Sea Surface Cooling Produced by Hurricanes along the U.S. Southeast Coast
RGMA
Ruby Leung
Pacific Northwest National Laboratory
2024-07
Estuarine Hurricane Wind Can Amplify Flood Hazard in Converging Coastal Systems
MSD
David Judi
Pacific Northwest National Laboratory
2024-07
Study Highlights New Advancements to Simulate Multiscale Coastal Processes
ESMD
Zeli Tan
Pacific Northwest National Laboratory
2024-06
Climate Change Will Increase Coastal Tropical Cyclone Intensification Rates Globally
RGMA
Ruby Leung
Pacific Northwest National Laboratory
2024-05
High-Resolution Land Surface Dataset Provides Earth System Modeling Details
RGMA
L. Ruby Leung
Pacific Northwest National Laboratory
2024-04
Climate Change Will Disrupt Inland Wetlands in North America
ESMD
Zeli Tan
Pacific Northwest National Laboratory
2024-03
Future Climate Change Predicted to Shift Flood Generating Mechanisms and Intensify Extreme Flooding Events
MSD
David Judi
Pacific Northwest National Laboratory
2024-03
A Comprehensive Calibration Procedure for Earth System Model Water Cycle
ESMD
Robert Hetland
Pacific Northwest National Laboratory
2024-02
Researchers Develop Groundbreaking Synthetic Database of Tropical Cyclone Events
RGMA
MSD
David Judi
Pacific Northwest National Laboratory
2024-01
Time-Stepping Optimized for Ocean and Atmosphere Models
ESMD
Mark Petersen
Los Alamos National Laboratory
2023-12
Investigating Compound Flood Risk for the Coastal United States
ESMD
Zeli Tan
Pacific Northwest National Laboratory
2023-11
New Universal Model for Multi-Scale Hydrologic Flow Routing
MSD
Chang Liao
Pacific Northwest National Laboratory
2023-11
Two Large-Scale Meteorological Patterns Are Associated with Short-Duration Dry Spells in the Northeastern United States
RGMA
Paul Ullrich
University of California Davis
2023-11
Connecting Large-Scale Meteorological Patterns to Extratropical Cyclones in CMIP6 Climate Models Using Self-Organizing Maps
RGMA
Colin Zarzycki
Pennsylvania State University
2023-08
Intensification of Hurricane Sally (2020) Over the Mississippi River Plume
RGMA
L. Ruby Leung
Pacific Northwest National Laboratory Richland WA USA
2023-08
Agent-Based Models Reveal Hidden Dynamics in Flood Risk Analysis
MSD
David Judi
Pacific Northwest National Lab
2023-07
Sensitivity of the Pseudo-Global Warming Method Under Flood Conditions: A Case Study from the Northeastern U.S.
ESMD
RGMA
Paul Ullrich
University of California Davis (UC Davis)
2023-05
Heightened U.S. Coastal Hurricane Risk Under Global Warming
RGMA
MSD
L. Ruby Leung
Pacific Northwest National Laboratory
2023-04
Faster Self-Attraction and Loading for Variable Resolution Ocean Models
ESMD
Darren Engwirda
Argonne National Laboratory
2023-04
The June 2012 North American Derecho: A Testbed for Regional and Cloud-System Resolving Models
ESMD
RGMA
Paul A. Ullrich
University of California - Davis
2023-04
Fluvial-Coastal Flooding in a Changing Climate
ESMD
RGMA
MSD
David Judi
Pacific Northwest National Laboratory
2023-03
Extremely Rapid, Lagrangian Modeling of 2D Flooding: A Rivulet-Based Approach
MSD
David Judi
Pacific Northwest National Lab
2023-03
Adding Ice Shelves Improves the Accuracy of Global Tidal Models
ESMD
Darren Engwirda
Los Alamos National Laboratory (LANL)
2023-02
Using Topological Relationships in Mesh-Independent River Network Representations
ESMD
Chang Liao
Pacific Northwest National Laboratory
2023-02
Downscaling a Large-Scale River Model Using Deep Learning
ESMD
Ian Kraucunas
Pacific Northwest National Laboratory
2023-02