Elizabeth A. Barnes

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    A[Elizabeth A. Barnes]
    AC["Associated Concepts (24)"]
    AW["Authored Works (16)"]
    CA["Linked Co-Authors (15)"]
    CI["Linked Collaborating Institutions (6)"]
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ORCiD

https://orcid.org/0000-0003-4284-9320

OpenAlex ID

https://openalex.org/A5038101556 (API record)

Associated Concepts [?]

• Physics
• Biology
• Geology
• Geography
• Climatology
• Environmental science
• Meteorology
• Oceanography
• Computer science
• Atmospheric sciences
• Ecology
• Mathematics
• Medicine
• Engineering
• Quantum mechanics
• Statistics
• Climate change
• Thermodynamics
• Machine learning
• Chemistry
• Internal medicine
• Economics
• Psychology
• Genetics

Authored Works

sorted by decreasing year, and then by display-name

• Using different XAI baselines to answer different science questions
• Using data-driven predictions to constrain climate model uncertainty in the time remaining until critical global warming thresholds are reached
• Using Machine Learning with Partial Dependence Analysis to Investigate Land-Atmosphere Coupling
• Substantial contribution of internal variability to satellite-era tropospheric warming inferred from CMIP6 large ensembles
• Subseasonal Cyclogenesis Number Predictions in the East Pacific Using Random Forests
• Stratospheric Aerosol Injection to Stabilize Northern Hemisphere Permafrost Extent
• Predicting climate scale oceanic processes: leveraging uncertainty quantification and XAI to increase trust and identify predictability
• Potential for Perceived Failure of Stratospheric Aerosol Injection Deployment
• Identifying State-Dependent Predictability in Near-Term Climate Evolution
• Exploring Future Northern Hemisphere Winter Seasonal Variability and Predictability under Stratospheric Aerosol Injection
• Detecting the regional emergence of climate signals with machine learning in a set of stratospheric aerosol injection simulations
• Combining Climate Models, Observations and Deep Learning for Multi-year Climate Prediction
• Using neural networks to explore regional climate patterns in single-forcing large ensembles
• Subseasonal Forecasts of Opportunity Identified by an Explainable Neural Network
• Evaluating global climate models using simple, explainable neural networks
• Applying Explainable Neural Networks to Detect Oceanic Patterns contributing to PDO Prediction Skill

Linked Co-Authors

• Antonios Mamalakis
• Ariel Morrison
• Benjamin D. Santer
• Emily M Gordon
• Eric D. Maloney
• Frances V. Davenport
• Imme Ebert‐Uphoff
• James W. Hurrell
• John T. Fasullo
• Kirsten Mayer
• Nicholas Siler
• Noah S. Diffenbaugh
• Patrick Keys
• Stephen Po‐Chedley
• Zachary M. Labe

Linked Collaborating Institutions

• Colorado State University
• Lawrence Livermore National Laboratory, California
• National Center for Atmospheric Research, Colorado
• Oregon State University, Corvallis
• Stanford University, California
• University of California, Los Angeles

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