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Title Contact Institution Date
Cloud as Stumbling Block for the Propagation of the Southern Annular Mode RGMA Ruby Leung Pacific Northwest National Laboratory
Impact of Volcanic Eruptions on CMIP6 Decadal Predictions: A Multi-Model Analysis RGMA Stephen Yeager National Center for Atmospheric Research (NCAR)
Implementing Cloud Radiative Effect Denial Experiments into E3SM RGMA Ruby Leung Contractor to Pacific Northwest National Laboratory
Peat Soils and Snow Schemes Mutually Impact Permafrost Simulations RGMA Jing Tao Lawrence Berkeley National Laboratory
Contributions from Cloud Regime Changes to the Observed Cloud Feedback RGMA Mark Zelinka Lawrence Livermore National Laboratory
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
Atmospheric Rivers Increase Winter Heat Extremes in the High Arctic RGMA Hailong Wang Pacific Northwest National Laboratory
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
Modes of Variability in E3SM and CESM Large Ensembles RGMA John Fasullo National Center for Atmospheric Research (NCAR)
The Influence of Climate Variability and Future Climate Change on Atlantic Hurricane Season Length RGMA Christina M. Patricola Iowa State University
Definitive Evidence that Atmospheric Rivers East of the Rockies are the Same as their West Coast Counterparts RGMA Travis A. O'Brien Indiana University
From Fires out West to Hailstorms in the Central US: Unraveling the Link with Machine Learning RGMA Jiwen Fan Argonne National Laboratory
Sensitivities of the West Greenland Current to Greenland Ice Sheet Meltwater in a Mesoscale Ocean/Sea Ice Model RGMA Julie McClean Scripps Institution of Oceanography
Decoding the Dynamics of Atmospheric River Clusters RGMA Yang Zhou Lawrence Berkeley National Laboratory
Observational Constraint on a Feedback from Supercooled Clouds Reduces Projected Warming Uncertainty RGMA Mark Zelinka Lawrence Livermore National Laboratory
Wind Shadows Impact Planning of Large Offshore Wind Farms RGMA MSD Sara C Pryor Cornell University
Quantifying lake-Channel Connections on an Arctic River Delta RGMA Anastasia Piliouras Pennsylvania State University
Rain and Cloud in the Midlatitude Storm Track Provide Important Source of Persistence in the Southern Annular Mode RGMA Ruby Leung Pacific Northwest National Laboratory
Quantifying the long-term changes of terrestrial water storage and their driving factors ESMD RGMA Jiafu Mao Oak Ridge National Laboratory
An Overview of the Western United States Dynamically Downscaled Dataset (WUS-D3) ESMD RGMA Stefan Rahimi University of California Los Angeles
On the Uncertainty of Long-Period Return Values of Extreme Daily Precipitation RGMA Michael Wehner Lawrence Berkeley National Laboratory
Plant Responses to Elevated CO2 Under Competing Hypotheses of Nitrogen and Phosphorus Limitations ESMD RGMA Qing Zhu Lawrence Berkeley National Laboratory
Sea-Surface Temperature Pattern Effects Have Slowed Global Warming and Weakened Constraints on the High End of Climate Sensitivity RGMA Cristian Proistosescu University of Illinois at Urbana-Champaign
Internal Variability Causes Disparity in Arctic Atmospheric Rivers Trends RGMA Hailong Wang Pacific Northwest National Laboratory
Compound Hazard of Freezing Rain and Wind Gusts Across the Continental United States RGMA MSD Professor Sara C Pryor Cornell University
New Theory Resolves the Non-Monotonic Temperature Response of Biogeochemical Reaction Rates RGMA William J. Riley Lawrence Berkeley National Laboratory
Quantifying Sources of Subseasonal Prediction Skill in CESM2 RGMA Jadwiga Richter National Center for Atmospheric Research (NCAR)
Air-Sea Coupling Influence on Projected Changes in Major Atlantic Hurricane Events RGMA Christina M. Patricola Iowa State University
Estimating Atmospheric Water Vapor Pressure Using Machine Learning RGMA Ethan Coon Oak Ridge National Laboratory

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