Elizabeth A. Barnes
flowchart A[Elizabeth A. Barnes] AC["Associated Concepts (24)"] AW["Authored Works (16)"] CA["Linked Co-Authors (15)"] CI["Linked Collaborating Institutions (6)"] A== dcterms:relation ==>AC AW== author ==>A AW== author ==>CA AW== affil ==>CI click AC "#associated-concepts" click AW "#authored-works" click CA "#co-authors" click CI "#collaborating-institutions" NI["add incoming edge"] NO["add outgoing edge"] NI-- ? -->A A-- ? -->NO click NI "#add-incoming-edge" click NO "#add-outgoing-edge" style NI stroke-width:2px,stroke-dasharray: 5 5 style NO stroke-width:2px,stroke-dasharray: 5 5
- 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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