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Assessing Climate Impacts on Coastal-Urban Flooding Through High-Resolution Barotropic and Baroclinic Ocean Coupling
|
ESMD
RGMA
|
Brus, Steven
|
Argonne National Laboratory
|
2023 - 2028
|
|
A Planetary-Scale Data–Model Integration Framework to Resolve Urban Impacts Across Scales and Examine Weather Extremes over Coastal U.S. Cities
|
ESMD
RGMA
|
Chakraborty, T. C.
|
Pacific Northwest National Laboratory
|
2023 - 2028
|
|
Probing Water Cycle Processes and Extremes in Coastal and Urban Environments Using Water Isotope Ratio Tracers and Numerical Tags
|
ESMD
RGMA
|
Fiorella, Rich
|
Los Alamos National Laboratory
|
2023 - 2028
|
|
Improving Predictability of Aqueous Coastal Biogeochemistry During Floods, Storms and a Warming Climate
|
ESMD
RGMA
|
Moriarty, Julia
|
University of Colorado - Boulder
|
2023 - 2028
|
|
Integrating Machine Learning Models into E3SM for Understanding Coastal Compound Flooding
|
ESMD
RGMA
|
Lu, Dan
|
Oak Ridge National Laboratory
|
2023 - 2028
|
|
Using Kilometer-Scale E3SM to Investigate Air Pollution Impacts on Coastal Storms
|
ESMD
RGMA
|
Zheng, Youtong
|
University of Houston
|
2023 - 2028
|
|
High-Latitude Application and Testing of Earth System Models (HiLAT-RASM) – Phase III
|
RGMA
|
Weijer, Wilbert
|
Los Alamos National Laboratory
|
2023 - 2026
|
|
COMPASS-GLM: Coastal Observations, Mechanisms, and Predictions Across Systems and Scales, Great Lakes Modeling
|
ESMD
RGMA
MSD
|
Hetland, Robert
|
Pacific Northwest National Laboratory
|
2022 - 2025
|
|
The Forced Trends in the Tropical Pacific and Global Tropical Cyclones in Earth System Models
|
RGMA
|
Lee, Chia-Ying
|
Columbia University
|
2022 - 2025
|
|
Exploring Global Aerosol Cloud Interactions in Unprecedented Numerical Fidelity by Combining Breakthroughs in Multi-Scale Modeling, GPU Supercomputing & Neural Network Process Emulation
|
RGMA
|
Pritchard, Michael
|
University of California - Irvine
|
2022 - 2025
|
|
Extreme Precipitation Features and Their Large-Scale Environments
|
RGMA
|
Neelin, J. David
|
University of California - Los Angeles
|
2022 - 2025
|
|
The Mechanisms, Impacts and Predictability of Extreme El Niño Events in E3SM and Other Earth System Models: Quantifying the Role of Westerly Wind Bursts
|
RGMA
|
Fedorov, Alexey
|
Yale University
|
2022 - 2025
|
|
Extreme Precipitation Scaling With Temperature Across Weather-Climate Timescales and the Role of Land Surface Feedback
|
RGMA
|
Wang, Guiling
|
University of Connecticut
|
2022 - 2025
|
|
Investigating the Effects of Co-Occurring Weather Phenomena on Extreme Precipitation in Reanalysis, E3SM, and CMIP6
|
RGMA
|
O'Brien, Travis
|
Indiana University
|
2022 - 2025
|
|
Madden-Julian Oscillation Simulation in E3SM and the Roles of Convective Cloud Microphysics
|
RGMA
|
Song, Xiaoliang
|
Scripps Institution of Oceanography
|
2022 - 2025
|
|
Extreme Moist Transport Events as a Driver of Arctic Amplification
|
RGMA
|
Feldl, Nicole
|
University of California - Santa Cruz
|
2022 - 2025
|
|
Forced Trends in the Tropical Pacific and Global Tropical Cyclones in Earth System Models
|
RGMA
|
Lee, Chia-Ying
|
Columbia University
|
2022 - 2025
|
|
A Cooperative Agreement to Analyze variability, Change and Predictability in the Earth System (CATALYST)
|
RGMA
|
Meehl, Gerald
|
National Center for Atmospheric Research (NCAR)
|
2021 - 2024
|
|
Puget Sound Scoping and Pilot Study
|
ESMD
RGMA
MSD
|
Sun, Ning
|
Pacific Northwest National Laboratory
|
2021 - 2024
|
|
Understanding Cloud Feedback and Climate Sensitivity in E3SMv1 and CMIP6 Models: Roles of Cloud Microphysics and Aerosol-Cloud Interactions
|
RGMA
|
Liu, Xiaohong
|
Texas A&M University
|
2021 - 2024
|
|
ECS in Climate Models: Quantifying the Uncertainties due to Cloud Feedback Versus Ocean Heat Uptake Using a Modeling Hierarchy
|
RGMA
|
Cheng, Wei
|
University of Washington
|
2021 - 2024
|
|
Tracking Carbon Dioxide in the Southern Ocean
|
RGMA
|
Lovenduski, Nicole
|
University of Colorado - Boulder
|
2021 - 2024
|
|
The Role of Vegetation in Past and Future Global Hydroclimatic Change
|
RGMA
|
Smerdon, Jason E.
|
Columbia University
|
2021 - 2024
|
|
Understanding the Role of Aerosol/Cloud Interactions in North Atlantic and Pacific Climate Variability
|
RGMA
|
Vimont, Daniel J.
|
University of Wisconsin Madison
|
2021 - 2024
|
|
Coupling Model Intercomparison with Synthesized Experimental Data Across Time and Space to Constrain Carbon Dynamics and Biogeochemical Cycling in Permafrost Ecosystems
|
RGMA
|
Schaedel, Christina
|
Northern Arizona University
|
2021 - 2024
|
|
A Highly Efficient Deep-Learning Based Parameter Estimation and Uncertainty Reduction Framework for Ecosystem Dynamics Models
|
RGMA
|
Shen, Chaopeng
|
Pennsylvania State University
|
2021 - 2024
|
|
Bridging Spatio-Temporal Scales to Observationally Constrain the Cloud Feedback Pattern Effect
|
RGMA
|
Proistosescu, Cristian
|
University of Illinois at Urbana–Champaign
|
2021 - 2024
|
|
Evaluating the influence of plants on hydrologic cycling: Quantifying and validating the role of plant processes and stomatal conductance
|
RGMA
|
Swann, Abigail
|
University of Washington
|
2020 - 2024
|
|
The Role of Deep Convection and Large-scale Circulation in Driving Model Spread in Low Cloud Feedback and Equilibrium Climate Sensitivity
|
RGMA
|
Su, Hui
|
University of California - Los Angeles
|
2020 - 2024
|
|
Investigating Cloud Feedbacks in Earth System Models
|
RGMA
|
Soden, Brian
|
University of Miami
|
2020 - 2024
|
