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Amazon vs Congo: Understanding the Intercontinental Differences of Tropical Rainforests' Responses to Climate Variability
|
RGMA
|
Sun, Ying
|
Cornell University
|
2024 - 2027
|
|
Coupled Land-Atmosphere-Ocean Data Assimilation for E3SM with DART for Understanding Subseasonal-to-Seasonal Predictability of Extreme Events
|
RGMA
|
Pu, Zhaoxia
|
University of Utah
|
2024 - 2027
|
|
An Integrated Artificial Intelligence and E3SM Hierarchal Modeling Framework for Elucidating Environmental Responses of Soil Carbon and Nutrients Dynamics and its Implications for Land Carbon-Climate
|
RGMA
|
Song, Yang
|
University of Arizona
|
2024 - 2027
|
|
SOS-Carbon: Southern Ocean Storminess and the Carbon Cycle
|
RGMA
|
Lovenduski, Nicole
|
University of Colorado Boulder
|
2024 - 2027
|
|
Understanding the Polar Cloud Longwave Feedback and its Confounding Factors through a Spectral Lens
|
RGMA
|
Huang, Xianglei
|
University of Michigan
|
2024 - 2027
|
|
Evaluating Mean State Relationships to High Cloud Feedbacks and Climate Sensitivity in CMIP Model Ensembles and E3SM
|
RGMA
|
Schiro, Kathleen A.
|
University of Virginia
|
2024 - 2027
|
|
Overfitting and Uncertainty in the Presence of Model Structural Error
|
RGMA
|
Larson, Vincent
|
University of Wisconsin Milwaukee
|
2024 - 2027
|
|
Understand and Reduce Uncertainty In E3SM's Land- Atmosphere Feedbacks On Carbon, Water, and Energy in Response to Wildfire Disturbance
|
RGMA
|
Chen, Min
|
University of Wisconsin Madison
|
2024 - 2027
|
|
Experimental-Data-Informed, Machine-Learning-Enabled Benchmarking and Development of Land Carbon Cycle in Earth System Models
|
RGMA
|
Shi, Zheng
|
University of Oklahoma
|
2024 - 2027
|
|
Linking Aerosol Forcing and Cloud Feedback to Atmospheric Moisture Processing
|
RGMA
|
McCoy, Daniel
|
University of Wyoming
|
2024 - 2027
|
|
Using Apparent Relationships Derived from Machine Learning Methods to Improve the Simulation of Marine Organisms within the Energy Exascale Earth System Model
|
ESMD
|
Gnanadesikan, Anand
|
Johns Hopkins University
|
2024 - 2027
|
|
Improving Representations of Carbon Export and its Climate Sensitivity in E3SM-MARBL
|
ESMD
|
Moore, Jefferson
|
University of California Irvine
|
2024 - 2027
|
|
Online Coupling of E3SM with Machine Learning-enhanced Data Assimilation for Improved Earth System Predictability
|
ESMD
|
Abbaszadeh, Peyman
|
Portland State University
|
2024 - 2027
|
|
The Simplified Higher-Order Closure Mass-Flux (SHOC+MF) Unified Parameterization: Improving Low-Level Clouds in the Simple Cloud-Resolving E3SM Atmosphere Model
|
ESMD
|
Teixeira, Joao
|
University of California - Los Angeles
|
2023 - 2026
|
|
Interannual and Multidecadal Modes of Climate Variability: Modal Evolutions, Links, Regional Impacts, and E3SM Representations
|
RGMA
|
Nigam, Sumant
|
University of Maryland
|
2023 - 2026
|
|
Coupling Between Arctic Cyclones and AMOC/AMO in High-Resolution Model Simulations
|
RGMA
|
Zhang, Xiangdong
|
University of Alaska Fairbanks
|
2023 - 2026
|
|
Assessing Sources of Precipitation Predictability in E3SM with Explainable Artificial Intelligence
|
RGMA
|
Barnes, Elizabeth
|
Colorado State University
|
2023 - 2026
|
|
Elevated Land Surface Heat Anomalies as Sources of U.S. Summer Hydroclimate Predictability: E3SMv2 Low-Level Jet and Precursor Event Sensitivities
|
RGMA
|
Ferguson, Craig
|
State University of New York (SUNY) at Albany
|
2023 - 2026
|
|
Toward Improving the Simulation and Prediction of Extratropical Northern Hemisphere Blocking Patterns and Extreme Weather
|
RGMA
|
Furtado, Jason C.
|
University of Oklahoma
|
2023 - 2026
|
|
Sea Level Extremes Along the U.S. East Coast in E3SM: Simulation of the Recent Past and Projection of the Near Future
|
RGMA
|
Han, Weiqing
|
University of Colorado
|
2023 - 2026
|
|
The Effects of the Tropical Indian Ocean on the Atlantic Climate Mean State, Variability and Change in E3SM and Other Earth System Models
|
RGMA
|
Hu, Shineng
|
Duke University
|
2023 - 2026
|
|
Representation of the Interactions Between the Madden-Julian Oscillation and the Maritime Continent in the Regionally-Refined Simple Cloud-Resolving E3SM Atmosphere Model (SCREAM)
|
RGMA
|
Jiang, Xianan
|
University of California Los Angeles (UCLA)
|
2023 - 2026
|
|
Introducing a Deep-Atmosphere Version of E3SM’s Dynamical Core to Reduce Climate Model Biases
|
ESMD
|
Jablonowski, Christiane
|
University of Michigan
|
2022 - 2026
|
|
The Forced Trends in the Tropical Pacific and Global Tropical Cyclones in Earth System Models
|
RGMA
|
Lee, Chia-Ying
|
Columbia University
|
2022 - 2026
|
|
Refining the Representations of High-Latitude Surface-Atmosphere Radiative Coupling in the E3SM
|
ESMD
|
Huang, Xianglei
|
University of Michigan
|
2021 - 2027
|
|
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 - 2026
|
|
Tracking Carbon Dioxide in the Southern Ocean
|
RGMA
|
Lovenduski, Nicole
|
University of Colorado - Boulder
|
2021 - 2027
|
|
Understanding the Role of Aerosol/Cloud Interactions in North Atlantic and Pacific Climate Variability
|
RGMA
|
Vimont, Daniel J.
|
University of Wisconsin Madison
|
2021 - 2026
|
|
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 - 2026
|
|
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 - 2026
|
