publications

Publications in reverse chronological order.

2026

  1. Run It Back: Autoregression vs. Video Diffusion for End-Conditioned Weather Trajectories
    Lin, Jerry, and Elizabeth A. Barnes. 2026. NeurIPS 2026 Workshop on Tackling Climate Change with Machine Learning · Submitted / Preprint
    Cite
  2. Signoff: Bringing Human Accountability Back to Agent-Powered Research
    Lin, Jerry, and Elizabeth A. Barnes. 2026. Bay Area Machine Learning Symposium (BayLearn) · Submitted / Preprint
    non-refereed
    Cite
  3. Extremes on Rewind: Generating 1,000-Member Ensembles Initialized at a Final Condition
    Lin, Jerry, Mu-Ting Chien, Mansi Sakarvadia, and Elizabeth A. Barnes. 2026. · Submitted / Preprint
    Preprint Cite
  4. Do AI Forecast Ensembles Sample the Correct Conditional Distribution?
    Howard, Lucas, and Elizabeth A. Barnes. 2026. · Submitted / Preprint
    Preprint Cite
  5. Precipitation Diffusion Downscaling and Application to Out-of-Distribution Simulations with and without Stratospheric Aerosol Injection
    Dong, Cameron, James W. Hurrell, and Elizabeth A. Barnes. 2026. Machine Learning: Earth · In Press
    Preprint Cite
  6. Improving Annual Predictability of Mosquito Climate Suitability
    Dwyer, Ashley E., James W. Hurrell, and Elizabeth A. Barnes. 2026. GeoHealth · Submitted / Preprint
    Preprint Cite
  7. Watch an AI Weather Model Learn (and Unlearn) Tropical Cyclones
    Baiman, Rebecca, Ankur Mahesh, and Elizabeth A. Barnes. 2026. Geophysical Research Letters · Submitted / Preprint
    Preprint Cite
  8. Deep-Learning Climate Emulator ACE2 Reveals a Global Decrease in Tropical Cyclone Frequency in the 15th Century under an El Niño-like Sea Surface Temperature Pattern
    Chien, Mu-Ting, Wenchang Yang, Eric D. Maloney, Gabriel Vecchi, and Elizabeth A. Barnes. 2026. npj Climate and Atmospheric Science · In Press
    Preprint Cite
  9. On the Seasonal Predictability of the 2020 North Atlantic Tropical Cyclone Season
    Levin, Emma Lilly, Mu-Ting Chien, Elizabeth A. Barnes, and 3 more authors. 2026. Monthly Weather Review · In Press
    Preprint Cite
  10. How Does an AI Weather Model Learn to Forecast Extreme Weather?
    Baiman, Rebecca, Elizabeth A. Barnes, and Ankur Mahesh. 2026. · Submitted / Preprint
    Preprint Cite
  11. Turning Up the Heat: Assessing 2-m Temperature Forecast Errors in Artificial Intelligence Weather Prediction Models During Heat Waves
    Ennis, Kelsey E., Elizabeth A. Barnes, Marybeth C. Arcodia, Martin A. Fernandez, and Eric D. Maloney. 2026. Meteorological Applications · In Press
    Preprint Cite
  12. Multi-Year-to-Decadal Temperature Prediction Using a Machine Learning Model-Analog Framework
    Fernandez, Martin A., and Elizabeth A. Barnes. 2026. · Submitted / Preprint
    Preprint Cite
  13. Exploring the Influence of Internal Climate Variability and Forced Change on Arctic Greening
    Hueholt, Daniel M., Elizabeth A. Barnes, James W. Hurrell, Danica Lombardozzi, and Ariel L. Morrison. 2026. Environmental Research Letters
    DOI Preprint Cite
  14. Digestible Pieces: Comparing Three Options for Partitioning the Northeast Pacific Coast for S2S Sea Surface Height Prediction
    Thapa, Laura, Marybeth Arcodia, and Elizabeth A. Barnes. 2026. AIES: Artificial Intelligence for the Earth Systems
    DOI Preprint Cite
  15. Global Emissions Since the Paris Agreement Have Intensified Europe’s Recent Heatwaves
    Trok, Jared T., Elizabeth A. Barnes, Emily M. Gordon, Frances V. Davenport, and Noah S. Diffenbaugh. 2026. Geophysical Research Letters · In Press
    Preprint Cite
  16. Identifying the Timing of Regional Summertime Minimum Temperature Threshold Crossings and the Potential Subsequent Climate Evolutions
    Arcodia, Marybeth C., and Elizabeth A. Barnes. 2026. Earth’s Future
    DOI Preprint Cite
  17. Am I Confused or Is This Confusing?: Deep Ensembles for ENSO Uncertainty Quantification
    McAfee, Devin M., and Elizabeth A. Barnes. 2026. Machine Learning: Earth
    DOI Cite
  18. Forecasting the Future with Yesterday’s Climate: Temperature Bias in AI Weather and Climate Models
    Landsberg, Jacob B., and Elizabeth A. Barnes. 2026. Geophysical Research Letters
    DOI Cite
  19. AI-Informed Model-Analogs for Understanding Subseasonal-to-Seasonal Jet Stream and North American Temperature Predictability
    Landsberg, Jacob B., Matthew Newman, and Elizabeth A. Barnes. 2026. Machine Learning: Earth
    DOI Cite
  20. Distinguishing between the Short-Term Climate Responses to Different Stratospheric Aerosol Injection Latitudes with Explainable Artificial Intelligence
    Dong, Cameron, Charlotte Connolly, and Elizabeth A. Barnes. 2026. Journal of Geophysical Research: Atmospheres
    DOI Preprint Cite
  21. The Role of Internal Variability and External Forcing on the Emergence of Compound Extremes in the CESM2 Large Ensemble
    Dwyer, Ashley E., Elizabeth A. Barnes, and James W. Hurrell. 2026. Frontiers in Climate
    DOI Preprint Cite
  22. Modulation of Tropical Cyclogenesis by the Convectively Coupled Kelvin Waves: Insights from Data-driven Climate Emulator ACE2
    Chien, Mu-Ting, Elizabeth A. Barnes, and Eric D. Maloney. 2026. Geophysical Research Letters
    DOI Preprint Cite

2025

  1. ClimSim-Online: A Large Multi-Scale Dataset and Framework for Hybrid Physics-ML Climate Emulation
    Yu, Sungduk, Zeyuan Hu, Akshay Subramaniam, et al. 2025. Journal of Machine Learning Research
    HTML Preprint Cite
  2. Observation-Based Estimate of Earth’s Effective Radiative Forcing
    Van Loon, Senne, Maria Rugenstein, and Elizabeth A. Barnes. 2025. Proceedings of the National Academy of Sciences
    DOI Preprint Cite
  3. Assessing MJO Tropical-Extratropical Teleconnections in Deep Learning Weather Prediction Models
    Diao, ChenRui, and Elizabeth A. Barnes. 2025.
    non-refereed
    Preprint Cite
  4. An Explainable Machine Learning Prediction System for Early-Warning of Heat Stress on Florida’s Coral Reef
    Arcodia, Marybeth C., Richard Karp, and Elizabeth A. Barnes. 2025. Environmental Research Communications
    DOI Preprint Cite
  5. Uncertainty-permitting Machine Learning Reveals Sources of Dynamic Sea Level Predictability across Daily-to-Seasonal Timescales
    Brettin, Andrew, Laure Zanna, and Elizabeth A. Barnes. 2025. Artificial Intelligence for the Earth Systems
    DOI Cite
  6. Uncovering Patterns of Converging Human-Induced Pressure on Global Lands
    Orihuela-Pinto, Bryam, Patrick W. Keys, Frances V. Davenport, and Elizabeth A. Barnes. 2025. Machine Learning: Earth
    DOI Cite
  7. Application of an Interpretable Prototypical-Part Network to Subseasonal-to-Seasonal Climate Prediction over North America
    Gordillo, Nicolas J., and Elizabeth A. Barnes. 2025. Artificial Intelligence for the Earth Systems
    DOI Cite
  8. Southern Hemisphere Surface Warming Drives Southwestern U.S. Precipitation According to AI-informed Climate Model Simulations
    Alessi, Marc J., Charlotte J. Connolly, Elizabeth A. Barnes, and 1 more author. 2025. Journal of Climate
    DOI Cite
  9. Reanalysis-based Global Radiative Response to Sea Surface Temperature Patterns: Evaluating the Ai2 Climate Emulator
    Van Loon, Senne, Maria Rugenstein, and Elizabeth A. Barnes. 2025. Geophysical Research Letters
    DOI Cite
  10. Convolutional Neural Networks Trained on Internal Variability Predict Radiation under Strong Climate Change by Learning the Pattern Effect
    Rugenstein, Maria, Senne Van Loon, and Elizabeth A. Barnes. 2025. Geophysical Research Letters
    DOI Cite
  11. Recommendations for Comprehensive and Independent Evaluation of Machine Learning-based Earth System Models
    Ullrich, Paul A., Elizabeth A. Barnes, William D. Collins, and 4 more authors. 2025. Journal of Geophysical Research: Machine Learning and Computation
    DOI Cite
  12. Macroclimate Growing Conditions for Luxury Crops under Stratospheric Aerosol Injection
    Morrison, Ariel L., Elizabeth A. Barnes, James W. Hurrell, and Daniel M. Hueholt. 2025. Environmental Research Letters
    DOI Cite
  13. Modulation of Tropical Cyclogenesis on Subseasonal-to-Interannual Timescales in the Deep-Learning Climate Emulator ACE2
    Chien, Mu-Ting, Elizabeth A. Barnes, and Eric D. Maloney. 2025. Machine Learning: Earth
    DOI Preprint Cite
  14. A Model Study Exploring the Decision Loop between Unilateral Stratospheric Aerosol Injection Scenario Design and Earth System Simulations
    Diao, ChenRui, Patrick Keys, Curtis Bell, Elizabeth A. Barnes, and James W. Hurrell. 2025. Earth’s Future
    DOI Preprint Cite
  15. A Regimes-based Approach to Identifying Seasonal State-dependent Prediction Skill
    Shackelford, Kyle, Charlotte DeMott, Peter Jan Leeuwen, and Elizabeth A. Barnes. 2025. Journal of Geophysical Research: Atmospheres
    DOI Cite
  16. Predicting Tropical Cyclone Track Forecast Errors using a Probabilistic Neural Network
    Fernandez, Martin, Elizabeth A. Barnes, Randal J. Barnes, Mark DeMaria, Marie McGraw, Galina Chirokova, and Lixin Lu. 2025. Artificial Intelligence for the Earth Systems
    DOI Cite
  17. Sea Surface Salinity Provides Subseasonal Predictability for Forecasts of Opportunity of U.S. Summertime Precipitation
    Arcodia, Marybeth C., Elizabeth A. Barnes, Paul J. Durack, and 2 more authors. 2025. Journal of Geophysical Research: Atmospheres
    DOI Preprint Cite
  18. Exposure to Compound Climate Hazards Transmitted via Global Agricultural Trade Networks
    Keys, Patrick, Elizabeth A. Barnes, Noah Diffenbaugh, and 3 more authors. 2025. Environmental Research Letters
    DOI Cite
  19. Learning Propagators for Sea Surface Height Forecasts Using Koopman Autoencoders
    Brettin, Andrew, Laure Zanna, and Elizabeth A. Barnes. 2025. Geophysical Research Letters
    DOI Preprint Cite
  20. Datasheets for Earth Science Datasets
    Connolly, Charlotte J., Daniel M. Hueholt, and Melissa A. Burt. 2025. Bulletin of the American Meteorological Societygroup-led
    DOI Preprint Cite
  21. Influence of ENSO on Stratospheric Sulfur Dioxide Injection in the CESM2 ARISE-SAI-1.5 Simulations
    Diao, ChenRui, Elizabeth A. Barnes, and James W. Hurrell. 2025. ESS Open Archive
    non-refereed
    Preprint Cite

2024

  1. Machine Learning-Based Extreme Event Attribution
    Trok, Jared, Elizabeth A. Barnes, Frances Davenport, and 1 more author. 2024. Science Advances
    DOI Cite
  2. Pushing the Frontiers in Climate Modeling and Analysis with Machine Learning
    Eyring, Veronika, William D. Collins, Pierre Gentine, Elizabeth A. Barnes, Marcelo Barreiro, Tom Beucler, Marc Bocquet, Christopher S. Bretherton, Hannah M. Christensen, David John Gagne, David Hall, Dorit Hammerling, Stephan Hoyer, Fernando Iglesias-Suarez, Ignacio Lopez-Gomez, Marie C. McGraw, Gerald A. Meehl, Maria J. Molina, Claire Monteleoni, Juliane Mueller, Michael S. Pritchard, David Rolnick, Jakob Runge, Philip Stier, Oliver Watt-Meyer, Katja Weigel, Rose Yu, and Laure Zanna. 2024. Nature Climate Change
    DOI Cite
  3. Combining Climate Models and Observations to Predict the Time Remaining until Regional Warming Thresholds Are Reached
    Barnes, Elizabeth A., Noah S. Diffenbaugh, and Sonia I. Seneviratne. 2024. Environmental Research Letters
    DOI Cite
  4. Data-driven Predictions of Peak Warming under Rapid Decarbonization
    Diffenbaugh, Noah S., and Elizabeth A. Barnes. 2024. Geophysical Research Letters
    DOI Preprint Cite
  5. Speed of Environmental Change Frames Relative Ecological Risk in Climate Change and Climate Intervention Scenarios
    Hueholt, Daniel M., Elizabeth A. Barnes, James W. Hurrell, and Ariel L. Morrison. 2024. Nature Communications
    DOI Cite
  6. Future Seasonal Surface Temperature Predictability with and without ARISE-Stratospheric Aerosol Injection-1.5
    Mayer, Kirsten J., Elizabeth A. Barnes, and James W. Hurrell. 2024. Environmental Research: Climate
    DOI Preprint Cite
  7. Ethics in Climate AI: From Theory to Practice
    Acquaviva, Viviana, Elizabeth A. Barnes, David John Gagne, and 2 more authors. 2024. PLOS Climate
    DOI Cite
  8. Errors of Opportunity: Using Neural Networks to Predict Errors in the Global Ensemble Forecast System (GEFS) on S2S Timescales
    Cahill, Jack, Elizabeth A. Barnes, Eric D. Maloney, and 3 more authors. 2024. Weather and Forecasting
    DOI Cite
  9. Combining Neural Networks and CMIP6 Simulations to Learn Windows of Opportunity for Skillful Prediction of Multiyear Sea Surface Temperature Variability
    Davenport, Frances V., Elizabeth A. Barnes, and Emily M. Gordon. 2024. Geophysical Research Letters
    DOI Preprint Cite
  10. Incorrect Computation of Madden-Julian Oscillation Prediction Skill
    Suematsu, Tamaki, Zane Martin, Elizabeth A. Barnes, and 6 more authors. 2024. npj Climate and Atmospheric Science
    DOI Cite
  11. AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography
    McGovern, Amy, Imme Ebert-Uphoff, Elizabeth A. Barnes, and 4 more authors. 2024. AI Magazine
    DOI Cite
  12. Projected Changes to Arctic Shipping Routes after Stratospheric Aerosol Deployment in the ARISE-SAI Scenarios
    Morrison, Ariel L., Debanjali Pathak, Elizabeth A. Barnes, and 1 more author. 2024. Frontiers in Climate
    DOI Cite
  13. Quantifying the Impact of Internal Variability on the CESM2 Control Algorithm for Stratospheric Aerosol Injection
    Connolly, Charlotte, Emily M. Prewett, Elizabeth A. Barnes, and 1 more author. 2024. Earth’s Future
    DOI Preprint Cite
  14. Natural Variability Can Mask Forced Permafrost Response to Stratospheric Aerosol Injection in the ARISE-SAI-1.5 Simulations
    Morrison, Ariel L., Elizabeth A. Barnes, and James W. Hurrell. 2024. Earth’s Future
    DOI Preprint Cite
  15. Stratospheric Aerosol Injection to Stabilize Northern Hemisphere Terrestrial Permafrost Extent under the ARISE-SAI-1.5 Scenario
    Morrison, Ariel L., Elizabeth A. Barnes, and James W. Hurrell. 2024. Earth’s Future
    DOI Preprint Cite

2023

  1. Data-Driven Predictions of the Time Remaining until Critical Global Warming Thresholds Are Reached
    Diffenbaugh, Noah S., and Elizabeth A. Barnes. 2023. Proceedings of the National Academy of Sciences
    DOI Cite
  2. Sinh-Arcsinh-Normal Distributions to Add Uncertainty to Neural Network Regression Tasks: Applications to Tropical Cyclone Intensity Forecasts
    Barnes, Elizabeth A., Randal J. Barnes, and Mark DeMaria. 2023. Environmental Data Science
    DOI Preprint Cite
  3. Carefully Choose the Baseline: Lessons Learned from Applying XAI Attribution Methods for Regression Tasks in Geoscience
    Mamalakis, Antonios, Elizabeth A. Barnes, and Imme Ebert-Uphoff. 2023. Artificial Intelligence for the Earth Systems
    DOI Cite
  4. Optimizing Seasonal-To-Decadal Analog Forecasts with a Learned Spatially-Weighted Mask
    Rader, Jamin K., and Elizabeth A. Barnes. 2023. Geophysical Research Letters
    DOI Preprint Cite
  5. Using Explainable Artificial Intelligence to Quantify "Climate Distinguishability" After Stratospheric Aerosol Injection
    Mamalakis, Antonios, Elizabeth A. Barnes, and James W. Hurrell. 2023. Geophysical Research Letters
    DOI Cite
  6. Using Neural Networks to Learn the Jet Stream Forced Response from Natural Variability
    Connolly, Charlotte, Elizabeth A. Barnes, Pedram Hassanzadeh, and 1 more author. 2023. Artificial Intelligence for the Earth Systems
    DOI Cite
  7. Separating Internal and Forced Contributions to Near Term SST Predictability in the CESM2-LE
    Gordon, Emily M., Elizabeth A. Barnes, and Frances V. Davenport. 2023. Environmental Research Letters
    DOI Preprint Cite
  8. Assessing Decadal Variability of Subseasonal Forecasts of Opportunity using Explainable AI
    Arcodia, Marybeth, Elizabeth A. Barnes, Kirsten Mayer, and 3 more authors. 2023. Environmental Research: Climate
    DOI Preprint Cite
  9. Using Machine Learning with Partial Dependence Analysis to Investigate Coupling between Soil Moisture and Near-surface Temperature
    Trok, Jared T., Frances V. Davenport, Elizabeth A. Barnes, and 1 more author. 2023. Journal of Geophysical Research: Atmospheres
    DOI Preprint Cite
  10. Assessing Outcomes in Stratospheric Aerosol Injection Scenarios Shortly after Deployment
    Hueholt, Daniel M., Elizabeth A. Barnes, James W. Hurrell, and 2 more authors. 2023. Earth’s Future
    DOI Preprint Cite
  11. Probability of Continued Local-Scale Warming and Extreme Events during and after Decarbonization
    Diffenbaugh, Noah S., Elizabeth A. Barnes, and Patrick W. Keys. 2023. Environmental Research: Climate
    DOI Preprint Cite
  12. Identifying the Regional Emergence of Climate Patterns in the ARISE-SAI-1.5 Simulations
    Labe, Zachary Michael, Elizabeth A. Barnes, and James Hurrell. 2023. Environmental Research Letters
    DOI Preprint Cite
  13. Spring Regional Sea Surface Temperatures as a Precursor of European Summer Heatwaves
    Beobide-Arsuaga, Goratz, André Düsterhus, Wolfgang A. Müller, Elizabeth A. Barnes, and Johanna Baehr. 2023. Geophysical Research Letters
    DOI Cite

2022

  1. Internal Variability and Forcing Influence Model-Satellite Differences in the Rate of Tropical Tropospheric Warming
    Po-Chedley, Stephen, John T. Fasullo, Nicholas Siler, Zachary M. Labe, Elizabeth A. Barnes, Céline J. W. Bonfils, and Benjamin D. Santer. 2022. Proceedings of the National Academy of Sciences
    DOI Cite
  2. Detecting Changes in Global Extremes under the GLENS-SAI Climate Intervention Strategy
    Barnes, Elizabeth A., James W. Hurrell, and Lantao Sun. 2022. Geophysical Research Letters
    DOI Preprint Cite
  3. Solar Geoengineering Might Work, but Local Temperatures Could Keep Rising for Years
    Keys, Patrick W., Curtis Bell, Elizabeth A. Barnes, and 2 more authors. 2022. The Conversation
    non-refereed
    DOI Cite
  4. Potential for Perceived Failure of Stratospheric Aerosol Injection Deployment
    Keys, Patrick W., Elizabeth A. Barnes, Noah S. Diffenbaugh, and 2 more authors. 2022. Proceedings of the National Academy of Sciences
    DOI Preprint Cite
  5. Explainable Artificial Intelligence in Meteorology and Climate Science: Model Fine-Tuning, Calibrating Trust and Learning New Science
    Mamalakis, Antonios, Imme Ebert-Uphoff, and Elizabeth A. Barnes. 2022. In xxAI - Beyond Explainable AI: International Workshop, Held in Conjunction with ICML 2020
    non-refereed
    DOI Cite
  6. Investigating the Fidelity of Explainable Artificial Intelligence Methods for Applications of Convolutional Neural Networks in Geoscience
    Mamalakis, Antonios, Elizabeth A. Barnes, and Imme Ebert-Uphoff. 2022. Artificial Intelligence for the Earth Systems
    DOI Cite
  7. Incorporating Uncertainty into a Regression Neural Network Enables Identification of Decadal State-Dependent Predictability in CESM2
    Gordon, Emily M., and Elizabeth A. Barnes. 2022. Geophysical Research Letters
    DOI Preprint Cite
  8. Comparison of Climate Model Large Ensembles with Observations in the Arctic Using Simple Neural Networks
    Labe, Zachary M., and Elizabeth A. Barnes. 2022. Earth and Space Science
    DOI Preprint Cite
  9. Detection of Forced Change within Combined Climate Fields Using Explainable Neural Networks
    Rader, Jamin K., Elizabeth A. Barnes, Imme Ebert-Uphoff, and 1 more author. 2022. Journal of Advances in Modeling Earth Systems
    DOI Preprint Cite
  10. Applied Machine Learning Tutorial for Earth Scientists
    Arcodia, Marybeth, Elizabeth Barnes, Charlotte Connolly, Frances Davenport, Zaibeth Carlo Frontera, Emily Gordon, Daniel Hueholt, Antonios Mamalakis, and Elina Valkonen. 2022
    non-refereed
    DOI Cite
  11. This Looks Like That There: Interpretable Neural Networks for Image Tasks When Location Matters
    Barnes, Elizabeth A., Randal J. Barnes, Zane K. Martin, and Jamin K. Rader. 2022. Artificial Intelligence for the Earth Systems
    DOI Preprint Cite
  12. Quantifying the Effect of Climate Change on Midlatitude Subseasonal Prediction Skill Provided by the Tropics
    Mayer, Kirsten J., and Elizabeth A. Barnes. 2022. Geophysical Research Letters
    DOI Preprint Cite
  13. Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset
    Mamalakis, Antonios, Imme Ebert-Uphoff, and Elizabeth A. Barnes. 2022. Environmental Data Science
    DOI Cite
  14. CSU - Synthetic Attribution Benchmark Dataset
    Mamalakis, Antonios, Imme Ebert-Uphoff, and Elizabeth A. Barnes. 2022
    non-refereed
    DOI Cite
  15. Predicting Slowdowns in Decadal Climate Warming Trends with Explainable Neural Networks
    Labe, Zachary M., and Elizabeth A. Barnes. 2022. Geophysical Research Letters
    DOI Preprint Cite
  16. Using Simple, Explainable Neural Networks to Predict the Madden-Julian Oscillation
    Martin, Zane K., Elizabeth A. Barnes, and Eric Maloney. 2022. Journal of Advances in Modeling Earth Systems
    DOI Preprint Cite
  17. Role of the Tropics in State-dependent Improvements of US West Coast NOAA Unified Forecast System Precipitation Forecasts
    Hsiao, Wei-Ting, Elizabeth A. Barnes, Eric D. Maloney, and 3 more authors. 2022. Geophysical Research Letters
    DOI Cite
  18. Wintertime Rossby Wave Breaking Persistence in Extended-Range Seasonal Forecasts of Atlantic Tropical Cyclone Activity
    Jones, Jhordanne J., Michael M. Bell, Philip J. Klotzbach, and Elizabeth A. Barnes. 2022. Journal of Climate
    DOI Cite

2021

  1. Oceanic Harbingers of Pacific Decadal Oscillation Predictability in CESM2 Detected by Neural Networks
    Gordon, Emily M., Elizabeth A. Barnes, and James W. Hurrell. 2021. Geophysical Research Letters
    DOI Preprint Cite
  2. Controlled Abstention Neural Networks for Identifying Skillful Predictions for Regression Problems
    Barnes, Elizabeth A., and Randal J. Barnes. 2021. Journal of Advances in Modeling Earth Systems
    DOI Cite
  3. Controlled Abstention Neural Networks for Identifying Skillful Predictions for Classification Problems
    Barnes, Elizabeth A., and Randal J. Barnes. 2021. Journal of Advances in Modeling Earth Systems
    DOI Cite
  4. Adding Uncertainty to Neural Network Regression Tasks in the Geosciences
    Barnes, Elizabeth A., Randal J. Barnes, and Nicolas Gordillo. 2021. arXiv · Submitted / Preprint
    non-refereed
    Preprint Cite
  5. Advancing the Predictability of Water Cycle Phenomena via the Application of AI to Model Ensemble Simulations and Observations
    Klein, Stephen, Elizabeth Barnes, Céline Bonfils, and 4 more authors, et al. 2021
    non-refereed
    DOI Cite
  6. Machine Learning to Extend and Understand the Sources and Limits of Water Cycle Predictability on Subseasonal-to-Decadal Timescales in the Earth System
    Dagon, Katherine, Maria Molina, Gerald Meehl, Jadwiga Richter, Elizabeth Barnes, Judith Berner, Julie Caron, et al. 2021
    non-refereed
    DOI Cite
  7. Facilitating Better and Faster Simulations of Aerosol-Cloud Interactions in Earth System Models
    Ma, Po-Lun, Christopher Bretherton, Panos Stinis, Vince Larson, Elizabeth Barnes, Sam Silva, Joseph Hardin, et al. 2021
    non-refereed
    DOI Cite
  8. Drivers of Uncertainty in Future Projections of Madden-Julian Oscillation Teleconnections
    Jenney, Andrea M., David A. Randall, and Elizabeth A. Barnes. 2021. Weather and Climate Dynamics
    DOI Cite
  9. Towards Neural Earth System Modelling by Integrating Artificial Intelligence in Earth System Science
    Irrgang, Christopher, Niklas Boers, Maike Sonnewald, Elizabeth A. Barnes, Christopher Kadow, Joanna Staneva, and Jan Saynisch-Wagner. 2021. Nature Machine Intelligence
    DOI Cite
  10. Detecting Climate Signals Using Explainable AI with Single-forcing Large Ensembles
    Labe, Zachary M., and Elizabeth A. Barnes. 2021. Journal of Advances in Modeling Earth Systems
    DOI Preprint Cite
  11. Subseasonal Forecasts of Opportunity Identified by an Explainable Neural Network
    Mayer, Kirsten J., and Elizabeth A. Barnes. 2021. Geophysical Research Letters
    DOI Cite
  12. Assessing Decadal Predictability in an Earth-system Model Using Explainable Neural Networks
    Toms, Benjamin A., Elizabeth A. Barnes, and James W. Hurrell. 2021. Geophysical Research Letters
    DOI Preprint Cite
  13. Mapping Large-Scale Climate Variability to Hydrological Extremes: An Application of the Linear Inverse Model to Subseasonal Prediction
    Tseng, Kai-Chih, Nathaniel C. Johnson, Eric D. Maloney, Elizabeth A. Barnes, and Sarah B. Kapnick. 2021. Journal of Climate
    DOI Cite
  14. Strengthened Causal Connections between the MJO and the North Atlantic with Climate Warming
    Samarasinghe, Savini M., Charlotte Connolly, Elizabeth A. Barnes, and 2 more authors. 2021. Geophysical Research Letters
    DOI Preprint Cite
  15. A Machine-Learning Approach to Human Footprint Index Estimation with Applications to Sustainable Development
    Keys, Patrick W., Elizabeth A. Barnes, and Neil H. Carter. 2021. Environmental Research Letters
    DOI Preprint Cite

2020

  1. Moisture- versus Wind-dominated Flavors of Atmospheric Rivers
    Gonzales, Katerina R., Daniel L. Swain, Elizabeth A. Barnes, and 1 more author. 2020. Geophysical Research Letters
    DOI Cite
  2. Investigating Recent Changes in MJO Precipitation and Circulation in Multiple Reanalyses
    Hsiao, Wei-Ting, Eric D. Maloney, and Elizabeth A. Barnes. 2020. Geophysical Research Letters
    DOI Preprint Cite
  3. Identifying Opportunities for Skillful Weather Prediction with Interpretable Neural Networks
    Barnes, Elizabeth A., Kirsten Mayer, Benjamin Toms, Zane Martin, and Emily Gordon. 2020. NeurIPS AI4EARTH Workshop · Submitted / Preprint
    non-refereed
    Preprint Cite
  4. Estimating the Spread in Future Fine Dust Concentrations in the Southwest United States
    Brey, Steven J., Jeffrey R. Pierce, Elizabeth A. Barnes, and 1 more author. 2020. Journal of Geophysical Research: Atmospheres
    DOI Cite
  5. Skillful All-Season S2S Prediction of U.S. Precipitation Using the MJO and QBO
    Nardi, Kyle M., Cory F. Baggett, Elizabeth A. Barnes, and 3 more authors. 2020. Weather and Forecasting
    DOI Cite
  6. Separating Forced and Unforced Components of Climate Change: The Utility of Pattern Recognition Methods in Large Ensembles and Observations
    Wills, Robert, Sebastian Sippel, and Elizabeth A. Barnes. 2020. US CLIVAR Variations
    non-refereed
    DOI Cite
  7. Indicator Patterns of Forced Change Learned by an Artificial Neural Network
    Barnes, Elizabeth A., Benjamin Toms, James W. Hurrell, and 3 more authors. 2020. Journal of Advances in Modeling Earth Systems
    DOI Cite
  8. Past Variance and Future Projections of the Environmental Conditions Driving Western U.S. Summertime Wildfire Burn Area
    Brey, Steven J., Elizabeth A. Barnes, Jeffrey R. Pierce, and 2 more authors. 2020. Earth’s Future
    DOI Cite
  9. North Pacific Zonal Wind Response to Sea Ice Loss in the Polar Amplification Model Intercomparison Project and Its Downstream Implications
    Ronalds, Bryn, Elizabeth A. Barnes, Rosie Eade, and 2 more authors. 2020. Climate Dynamics
    DOI Cite
  10. Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability
    Toms, Benjamin A., Elizabeth A. Barnes, and Imme Ebert-Uphoff. 2020. Journal of Advances in Modeling Earth Systems
    DOI Cite
  11. Subseasonal Midlatitude Prediction Skill Following Quasi-Biennial Oscillation and Madden-Julian Oscillation Activity
    Mayer, Kirsten J., and Elizabeth A. Barnes. 2020. Weather and Climate Dynamics
    DOI Cite
  12. The Consistency of MJO Teleconnection Patterns on Interannual Time Scales
    Tseng, Kai-Chih, Eric Maloney, and Elizabeth A. Barnes. 2020. Journal of Climate
    DOI Cite
  13. The Global Teleconnection Signature of the Madden-Julian Oscillation and Its Modulation by the Quasi-Biennial Oscillation
    Toms, Benjamin A., Elizabeth A. Barnes, Eric D. Maloney, and 1 more author. 2020. Journal of Geophysical Research: Atmospheres
    DOI Cite
  14. Introduction to Special Collection: Bridging Weather and Climate: Subseasonal-to-Seasonal (S2S) Prediction
    Lang, Andrea L., Kathleen Pegion, and Elizabeth A. Barnes. 2020. Journal of Geophysical Research: Atmospheres
    DOI Cite
  15. Windows of Opportunity for Skillful Forecasts Subseasonal to Seasonal and Beyond
    Mariotti, Annarita, Cory Baggett, Elizabeth A. Barnes, and 4 more authors, et al. 2020. Bulletin of the American Meteorological Society
    DOI Cite
  16. New Insights on Subseasonal Arctic-Midlatitude Causal Connections from a Regularized Regression Model
    McGraw, Marie C., and Elizabeth A. Barnes. 2020. Journal of Climate
    DOI Cite
  17. The Importance of Past MJO Activity in Determining the Future State of the Midlatitude Circulation
    Tseng, Kai-Chih, Elizabeth A. Barnes, and Eric Maloney. 2020. Journal of Climate
    DOI Cite
  18. Changes in Arctic Moisture Transport over the North Pacific Associated with Sea Ice Loss
    McGraw, Marie C., Cory F. Baggett, Chengji Liu, and Bryan D. Mundhenk. 2020. Climate Dynamicsgroup-led
    DOI Cite

2019

  1. Viewing Forced Climate Patterns Through an AI Lens
    Barnes, Elizabeth A., James W. Hurrell, Imme Ebert-Uphoff, and 2 more authors. 2019. Geophysical Research Letters
    DOI Cite
  2. Size of the Atmospheric Blocking Events: Scaling Law and Response to Climate Change
    Nabizadeh, Ebrahim, Pedram Hassanzadeh, Da Yang, and Elizabeth A. Barnes. 2019. Geophysical Research Letters
    DOI Cite
  3. Thoughtfully Using Artificial Intelligence in Earth Science
    Ebert-Uphoff, Imme, Savini M. Samarasinghe, and Elizabeth A. Barnes. 2019. Eos
    HTML Cite
  4. Tropospheric and Stratospheric Causal Pathways Between the MJO and NAO
    Barnes, Elizabeth A., Savini M. Samarasinghe, Imme Ebert-Uphoff, and 1 more author. 2019. Journal of Geophysical Research: Atmospheres
    DOI Cite
  5. A Role for Barotropic Eddy-Mean Flow Feedbacks in the Zonal Wind Response to Sea Ice Loss and Arctic Amplification
    Ronalds, Bryn, and Elizabeth A. Barnes. 2019. Journal of Climate
    DOI Cite
  6. The Seasonality and Regionality of MJO Impacts on North American Temperature
    Jenney, Andrea M., Kyle M. Nardi, Elizabeth A. Barnes, and 1 more author. 2019. Geophysical Research Letters
    DOI Cite
  7. Recent Warming of Landfalling Atmospheric Rivers along the West Coast of the United States
    Gonzales, Katerina R., Daniel L. Swain, Kyle M. Nardi, Elizabeth A. Barnes, and Noah S. Diffenbaugh. 2019. Journal of Geophysical Research
    DOI Cite
  8. Prediction of Northern Hemisphere Regional Surface Temperatures Using Stratospheric Ozone Information
    Stone, Kane A., Susan Solomon, Douglas E. Kinnison, Cory F. Baggett, and Elizabeth A. Barnes. 2019. Journal of Geophysical Research: Atmospheres
    DOI Cite
  9. Quantifying Regional Sensitivities to Periodic Events: Application to the MJO
    Jenney, Andrea M., David A. Randall, and Elizabeth A. Barnes. 2019. Journal of Geophysical Research: Atmospheres
    DOI Cite
  10. The Future of Climate Epidemiology: Opportunities for Advancing Health Research in the Context of Climate Change
    Anderson, G. Brooke, Elizabeth A. Barnes, Michelle L. Bell, and 1 more author. 2019. American Journal of Epidemiology
    DOI Cite
  11. Bridging the Weather-to-Climate Prediction Gap
    Mariotti, Annarita, Elizabeth A. Barnes, Edmund K.-M. Chang, Andrea Lang, Paul A. Dirmeyer, Kathleen Pegion, Dan Barrie, and Cory Baggett. 2019. Eos
    DOI Cite
  12. The Consistency of MJO Teleconnection Patterns: An Explanation Using Linear Rossby Wave Theory
    Tseng, Kai-Chih, Eric Maloney, and Elizabeth Barnes. 2019. Journal of Climate
    DOI Cite
  13. ARTMIP-Early Start Comparison of Atmospheric River Detection Tools: How Many Atmospheric Rivers Hit Northern California’s Russian River Watershed?
    Ralph, F. Martin, Anna M. Wilson, Tamara Shulgina, and 4 more authors, et al. 2019. Climate Dynamics
    DOI Cite

2018

  1. Skillful Subseasonal Forecasts of Weekly Tornado and Hail Activity Using the Madden-Julian Oscillation
    Baggett, Cory F., Kyle M. Nardi, Samuel J. Childs, Samantha N. Zito, Elizabeth A. Barnes, and Eric D. Maloney. 2018. Journal of Geophysical Research: Atmospheres
    DOI Cite
  2. A Toolbox for Causal Discovery in Climate Science
    Ramsey, J., K. Zhang, M. Glymour, R. Sanchez Romero, B. Huang, I. Ebert-Uphoff, E. Barnes, and C. Glymour. 2018. In Proceedings of the Eighth International Workshop on Climate Informatics (CI 2018)
    non-refereed
    DOI Cite
  3. Causal Discovery in the Presence of Latent Variables for Climate Science
    Samarasinghe, Savini, E. Barnes, and I. Ebert-Uphoff. 2018. In Proceedings of the Eighth International Workshop on Climate Informatics (CI 2018)
    non-refereed
    DOI Cite
  4. An AI Approach to Determining Time of Emergence of Climate Change
    Barnes, E., C. Anderson, and I. Ebert-Uphoff. 2018. In Proceedings of the Eighth International Workshop on Climate Informatics (CI 2018)
    non-refereed
    DOI Cite
  6. Environmental Conditions, Ignition Type, and Air Quality Impacts of Wildfires in the Southeastern and Western United States
    Brey, Steven J., Elizabeth A. Barnes, Jeffrey R. Pierce, and 2 more authors. 2018. Earth’s Future
    DOI Cite
  7. Modeled and Observed Multidecadal Variability in the North Atlantic Jet Stream and Its Connection to Sea Surface Temperatures
    Simpson, Isla R., Clara Deser, Karen A. McKinnon, and Elizabeth A. Barnes. 2018. Journal of Climate
    DOI Cite
  8. Assessment of Numerical Weather Prediction Model Reforecasts of the Occurrence, Intensity, and Location of Atmospheric Rivers along the West Coast of North America
    Nardi, Kyle M., Elizabeth A. Barnes, and F. Martin Ralph. 2018. Monthly Weather Review
    DOI Cite
  9. Corrigendum: A Barotropic Mechanism for the Response of Jet Stream Variability to Arctic Amplification and Sea Ice Loss
    Ronalds, Bryn, Elizabeth Barnes, and Pedram Hassanzadeh. 2018. Journal of Climate
    DOI Cite
  10. A Barotropic Mechanism for the Response of Jet Stream Variability to Arctic Amplification and Sea Ice Loss
    Ronalds, Bryn, Elizabeth Barnes, and Pedram Hassanzadeh. 2018. Journal of Climate
    DOI Cite
  11. Primary Modes of Global Drop Size Distributions
    Dolan, B., B. Fuchs, S. A. Rutledge, E. A. Barnes, and E. J. Thompson. 2018. Journal of the Atmospheric Sciences
    DOI Cite
  12. Quantifying Isentropic Mixing Linked to Rossby Wave Breaking in a Modified Lagrangian Coordinate
    Liu, Chengji, and Elizabeth A. Barnes. 2018. Journal of the Atmospheric Sciences
    DOI Cite
  13. Memory Matters: A Case for Granger Causality in Climate Variability Studies
    McGraw, Marie C., and Elizabeth A. Barnes. 2018. Journal of Climate
    DOI Cite
  14. Skillful Empirical Subseasonal Prediction of Landfalling Atmospheric River Activity Using the Madden-Julian Oscillation and Quasi-Biennial Oscillation
    Mundhenk, Bryan D., Elizabeth A. Barnes, Eric D. Maloney, and Cory F. Baggett. 2018. npj Climate and Atmospheric Science
    DOI Cite
  15. Daily to Decadal Modulation of Jet Variability
    Woollings, Tim, Elizabeth Barnes, Brian Hoskins, and 4 more authors, et al. 2018. Journal of Climate
    DOI Cite
  16. Prediction of the Midlatitude Response to Strong Madden-Julian Oscillation Events on S2S Time Scales
    Tseng, Kai-Chih, Elizabeth A. Barnes, and Eric D. Maloney. 2018. Geophysical Research Letters
    DOI Cite
  17. Synoptic Formation of Double Tropopauses
    Liu, Chengji, and Elizabeth Barnes. 2018. Journal of Geophysical Research: Atmospheres
    DOI Cite

2017

  1. Seasonal Sensitivity of the Northern Hemisphere Jet Streams to Arctic Temperatures on Subseasonal Time Scales
    Barnes, Elizabeth A., and Isla R. Simpson. 2017. Journal of Climate
    DOI Cite
  2. A Census of Atmospheric Variability From Seconds to Decades
    Williams, Paul D., M. Joan Alexander, Elizabeth A. Barnes, and 4 more authors, et al. 2017. Geophysical Research Letters
    DOI Cite
  3. Quantifying the Lead Time Required for a Linear Trend to Emerge from Natural Climate Variability
    Li, Jingyuan, David W. J. Thompson, Elizabeth A. Barnes, and 1 more author. 2017. Journal of Climate
    DOI Cite
  4. A Study of Causal Links Between the Arctic and the Midlatitude Jet-Streams
    Samarasinghe, Savini, Marie Mc Graw, Elizabeth A. Barnes, and 1 more author. 2017. In 7th International Workshop on Climate Informatics
    non-refereed
    DOI Cite
  5. Advancing Atmospheric River Forecasts into Subseasonal-to-Seasonal Time Scales
    Baggett, Cory F., Elizabeth A. Barnes, Eric D. Maloney, and Bryan D. Mundhenk. 2017. Geophysical Research Letters
    DOI Cite
  6. Working with Daily Climate Model Output Data in R and the Futureheatwaves Package
    Anderson, G. Brooke, Colin Eason, and Elizabeth A. Barnes. 2017. The R Journal
    DOI Cite
  7. Quantifying the Role of Land-atmosphere Feedbacks in Mediating near-Surface Temperature Persistence
    Kolstad, E. W., E. A. Barnes, and S. P. Sobolowski. 2017. Quarterly Journal of the Royal Meteorological Society
    DOI Cite

2016

  1. Intraseasonal Periodicity in the Southern Hemisphere Circulation on Regional Spatial Scales
    Thompson, David W. J., Brian R. Crow, and Elizabeth A. Barnes. 2016. Journal of the Atmospheric Sciences
    DOI Cite
  2. Modulation of Atmospheric Rivers near Alaska and the U.S. West Coast by Northeast Pacific Height Anomalies
    Mundhenk, Bryan D., Elizabeth A. Barnes, Eric D. Maloney, and Kyle M. Nardi. 2016. Journal of Geophysical Research: Atmospheres
    DOI Cite
  3. Storm Track Processes and the Opposing Influences of Climate Change
    Shaw, T. A., M. Baldwin, E. A. Barnes, and 4 more authors, et al. 2016. Nature Geoscience
    DOI Cite
  4. Isentropic Transport and the Seasonal Cycle Amplitude of CO2
    Barnes, Elizabeth A., Nicholas Parazoo, Clara Orbe, and 1 more author. 2016. Journal of Geophysical Research: Atmospheres
    DOI Cite
  5. Reconciling the Observed and Modeled Southern Hemisphere Circulation Response to Volcanic Eruptions
    McGraw, Marie C., Elizabeth A. Barnes, and Clara Deser. 2016. Geophysical Research Letters
    DOI Cite
  6. Seasonal Sensitivity of the Eddy-Driven Jet to Tropospheric Heating in an Idealized AGCM
    McGraw, Marie C., and Elizabeth A. Barnes. 2016. Journal of Climate
    DOI Cite
  7. All-Season Climatology and Variability of Atmospheric River Frequencies over the North Pacific
    Mundhenk, Bryan D., Elizabeth A. Barnes, and Eric D. Maloney. 2016. Journal of Climate
    DOI Cite
  8. Robust Wind and Precipitation Responses to the Mount Pinatubo Eruption, as Simulated in the CMIP5 Models
    Barnes, Elizabeth A., Susan Solomon, and Lorenzo M. Polvani. 2016. Journal of Climate
    DOI Cite
  9. The Influence of the Madden-Julian Oscillation on Northern Hemisphere Winter Blocking
    Henderson, Stephanie A., Eric D. Maloney, and Elizabeth A. Barnes. 2016. Journal of Climate
    DOI Cite
  10. Detection of Trends in Surface Ozone in the Presence of Climate Variability
    Barnes, Elizabeth A., Arlene M. Fiore, and Larry W. Horowitz. 2016. Journal of Geophysical Research: Atmospheres
    DOI Cite

2015

  1. Estimating Linear Trends: Simple Linear Regression versus Epoch Differences
    Barnes, Elizabeth A., and Randal J. Barnes. 2015. Journal of Climate
    DOI Cite
  2. Quantifying the Role of Internal Climate Variability in Future Climate Trends
    Thompson, David W. J., Elizabeth A. Barnes, Clara Deser, and 2 more authors. 2015. Journal of Climate
    DOI Cite
  3. Influence of ENSO and the NAO on Terrestrial Carbon Uptake in the Texas-Northern Mexico Region
    Parazoo, Nicholas C., Elizabeth Barnes, John Worden, and 6 more authors. 2015. Global Biogeochemical Cycles
    DOI Cite
  4. CMIP5 Projections of Arctic Amplification, of the North American/North Atlantic Circulation, and of Their Relationship
    Barnes, Elizabeth A., and Lorenzo M. Polvani. 2015. Journal of Climate
    DOI Cite
  5. Extreme Moisture Transport into the Arctic Linked to Rossby Wave Breaking
    Liu, Chengji, and Elizabeth A. Barnes. 2015. Journal of Geophysical Research: Atmospheres
    DOI Cite
  6. The Impact of Arctic Warming on the Midlatitude Jet-Stream: Can It? Has It? Will It?
    Barnes, Elizabeth A., and James A. Screen. 2015. Wiley Interdisciplinary Reviews: Climate Change
    DOI Cite
  7. Contrasting Interannual and Multidecadal NAO Variability
    Woollings, T., C. Franzke, D. L. R. Hodson, B. Dong, E. A. Barnes, C. C. Raible, and J. G. Pinto. 2015. Climate Dynamics
    DOI Cite

2014

  1. Variability of Moisture Recycling Using a Precipitationshed Framework
    Keys, P. W., E. A. Barnes, R. J. Ent, and 1 more author. 2014. Hydrology and Earth System Sciences
    DOI Cite
  2. New-Particle Formation, Growth and Climate-Relevant Particle Production in Egbert, Canada: Analysis from 1 Year of Size-Distribution Observations
    Pierce, J. R., D. M. Westervelt, S. A. Atwood, E. A. Barnes, and W. R. Leaitch. 2014. Atmospheric Chemistry and Physics
    DOI Cite
  3. Exploring Recent Trends in Northern Hemisphere Blocking
    Barnes, Elizabeth A., Etienne Dunn-Sigouin, Giacomo Masato, and 1 more author. 2014. Geophysical Research Letters
    DOI Cite
  4. Periodic Variability in the Large-Scale Southern Hemisphere Atmospheric Circulation
    Thompson, David W. J., and Elizabeth A. Barnes. 2014. Science
    DOI Cite

2013

  1. Delayed Southern Hemisphere Climate Change Induced by Stratospheric Ozone Recovery, as Projected by the CMIP5 Models
    Barnes, Elizabeth A., Nicholas W. Barnes, and Lorenzo M. Polvani. 2013. Journal of Climate
    DOI Cite
  2. Comparing the Roles of Barotropic versus Baroclinic Feedbacks in the Atmosphere’s Response to Mechanical Forcing
    Barnes, Elizabeth A., and David W. J. Thompson. 2013. Journal of the Atmospheric Sciences
    DOI Cite
  3. Model Projections of Atmospheric Steering of Sandy-like Superstorms
    Barnes, Elizabeth A., Lorenzo M. Polvani, and Adam H. Sobel. 2013. Proceedings of the National Academy of Sciences
    DOI Cite
  4. Revisiting the Evidence Linking Arctic Amplification to Extreme Weather in Midlatitudes
    Barnes, Elizabeth A.. 2013. Geophysical Research Letters
    DOI Cite
  5. Response of the Midlatitude Jets, and of Their Variability, to Increased Greenhouse Gases in the CMIP5 Models
    Barnes, Elizabeth A., and Lorenzo Polvani. 2013. Journal of Climate
    DOI Cite
  6. Behaviour of the Winter North Atlantic Eddy-Driven Jet Stream in the CMIP3 Integrations
    Hannachi, Abdel, Elizabeth A. Barnes, and Tim Woollings. 2013. Climate Dynamics
    DOI Cite
  7. Connections between the Spring Breakup of the Southern Hemisphere Polar Vortex, Stationary Waves, and Air-Sea Roughness
    Garfinkel, Chaim I., Luke D. Oman, Elizabeth A. Barnes, and 3 more authors. 2013. Journal of the Atmospheric Sciences
    DOI Cite
  8. Surface Ozone Variability and the Jet Position: Implications for Projecting Future Air Quality
    Barnes, Elizabeth A., and Arlene M. Fiore. 2013. Geophysical Research Letters
    DOI Cite

2012

  1. Barotropic Impacts of Surface Friction on Eddy Kinetic Energy and Momentum Fluxes: An Alternative to the Barotropic Governor
    Barnes, Elizabeth A., and Chaim I. Garfinkel. 2012. Journal of the Atmospheric Sciences
    DOI Cite
  2. A Methodology for the Comparison of Blocking Climatologies across Indices, Models and Climate Scenarios
    Barnes, Elizabeth A., Julia Slingo, and Tim Woollings. 2012. Climate Dynamics
    DOI Cite
  3. Detection of Rossby Wave Breaking and Its Response to Shifts of the Midlatitude Jet with Climate Change
    Barnes, Elizabeth A., and Dennis L. Hartmann. 2012. Journal of Geophysical Research
    DOI Cite
  4. The Global Distribution of Atmospheric Eddy Length Scales
    Barnes, Elizabeth A., and Dennis L. Hartmann. 2012. Journal of Climate
    DOI Cite

2011

  1. Rossby Wave Scales, Propagation, and the Variability of Eddy-Driven Jets
    Barnes, Elizabeth A., and Dennis L. Hartmann. 2011. Journal of the Atmospheric Sciences
    DOI Cite

2010

  1. Influence of Eddy-Driven Jet Latitude on North Atlantic Jet Persistence and Blocking Frequency in CMIP3 Integrations
    Barnes, Elizabeth A., and Dennis L. Hartmann. 2010. Geophysical Research Letters
    DOI Cite
  2. Testing a Theory for the Effect of Latitude on the Persistence of Eddy-Driven Jets Using CMIP3 Simulations
    Barnes, Elizabeth A., and Dennis L. Hartmann. 2010. Geophysical Research Letters
    DOI Cite
  3. Effect of Latitude on the Persistence of Eddy-Driven Jets
    Barnes, Elizabeth A., Dennis L. Hartmann, Dargan M. W. Frierson, and 1 more author. 2010. Geophysical Research Letters
    DOI Cite
  4. Dynamical Feedbacks of the Southern Annular Mode in Winter and Summer
    Barnes, Elizabeth A., and Dennis L. Hartmann. 2010. Journal of the Atmospheric Sciences
    DOI Cite
  5. Dynamical Feedbacks and the Persistence of the NAO
    Barnes, Elizabeth A., and Dennis L. Hartmann. 2010. Journal of the Atmospheric Sciences
    DOI Cite

2007

  1. Upscaling River Biomass Using Dimensional Analysis and Hydrogeomorphic Scaling
    Barnes, Elizabeth A., Mary E. Power, Efi Foufoula-Georgiou, and 2 more authors. 2007. Geophysical Research Letters
    DOI Cite
  2. Scaling in River Corridor Widths Depicts Organization in Valley Morphology
    Gangodagamage, Chandana, Elizabeth Barnes, and Efi Foufoula-Georgiou. 2007. Geomorphology
    DOI Cite