Publications
POSTED/SUBMITTED/IN REVIEW
Ullrich, Paul, Elizabeth Barnes, et al. 2024. " Recommendations for Comprehensive and Independent Evaluation of Machine Learning-Based Earth System Models", under review.
Diao, ChenRui, Patrick Keys, Curtis Bell, Elizabeth A. Barnes, and James W. Hurrell, 2024. "A model study exploring the decision loop between unilateral stratospheric aerosol injection scenario design and Earth system simulations", submitted. Preprint available [here].
Brettin, Andrew, Laure Zanna and Elizabeth A. Barnes, 2024: "Learning Propagators for Sea Surface Height Forecasts Using Koopman Autoencoders", submitted. Preprint available [here].
Van Loon, Senne, Maria Rugenstein and Elizabeth A. Barnes, 2024: "Observation-based estimate of Earth’s radiative forcing", submitted.
Mayer, Kirsten, Elizabeth A. Barnes and James Hurrell, 2024: "Future Seasonal Surface Temperature Predictability with and without ARISE-Stratospheric Aerosol Injection-1.5", submitted. Preprint available [here]
Gordillo, Nicolas J., and Elizabeth A. Barnes, 2024. "Application of an Interpretable Prototypical-Part Network to Subseasonal-to-Seasonal Climate Prediction over North America". Submitted to AIES.
Diffenbaugh, Noah and Elizabeth A. Barnes, 2024: "Data-driven predictions of peak warming under rapid decarbonization". Submitted. Preprint availabile [here]
Rader, Jamin K., Elizabeth A. Barnes and Noah S. Diffenbaugh, 2024: "Data-driven predictions of the likelihood that annual global mean temperature will exceed 1.5˚C, 2.0˚C in the next decade." Submitted.
Rugenstein, M., Senne Van Loon, Elizabeth A. Barnes, 2024: "Convolutional neural networks trained on internal variability predict radiation under strong climate change by learning the pattern effect", submitted.
Barnes, Elizabeth A., Noah Diffenbaugh and Sonia Seneviratne, 2024: "Combining climate models and observations to predict the time remaining until regional warming thresholds are reached", submitted.
Keys, Patrick, Elizabeth A. Barnes, Noah Diffenbaugh, Tom Hertel, Uris Baldos and Johanna Hedlund, 2024: "Exposure to compound climate hazards transmitted via global agricultural trade networks". Under review.
Carlo Frontera, Zaibeth, Elizabeth A. Barnes and Eric D. Maloney, 2024: "Data-driven Models for Subseasonal Cyclogenesis Forecasts in the East Pacific and North Atlantic". Submitted to Weather and Forecasting.
Arcodia, Marybeth C., Elizabeth A. Barnes, Paul J. Durack, Patrick W. Keys, Juliette Rocha, 2024. "Sea Surface Salinity Provides Subseasonal Predictability for Forecasts of Opportunity of U.S. Summertime Precipitation". Submitted to Journal of Geophysical Research: Atmospheres. Preprint available [here]
Witt, Jessica K., Danielle Albers Szafir, Zachary M. Labe, and Elizabeth A. Barnes. 2023. "Perceiving Internal Climate Variability: Signaling Change through Animation Decreases Performance."
Diao, ChenRui, Elizabeth A. Barnes and James W. Hurrell. 2024. "Influence of ENSO on stratospheric sulfur dioxide injection in the CESM2 ARISE- SAI-1.5 simulations" submitted to Earth's Future.
ACCEPTED/PUBLISHED/POSTED
2024
Cahill, Jack, Elizabeth A Barnes; Eric D Maloney; Stephan R Sain; Patrick Harr; Luke Madaus. "Errors of Opportunity: Using Neural Networks to Predict Errors in the Unified Forecast System (UFS) on S2S Timescales". in press, Weather and Forecasting.
Morrison, A.L., Debanjali Pathak, Elizabeth A. Barnes, James W. Hurrell, 2024: "Projected changes to Arctic shipping routes after stratospheric aerosol deployment in the ARISE-SAI scenarios". Frontiers in Climate, doi.org/10.3389/fclim.2024.1426679.
Acquaviva, Viviana, Elizabeth A. Barnes, David John Gagne, Galen A. McKinley, and Savannah Thais. 2024. “Ethics in Climate AI: From Theory to Practice.” PLOS Climate 3 (8): e0000465. https://doi.org/10.1371/journal.pclm.0000465.
Eyring, V., W. D. Collins, P. Gentine, E. A. Barnes, M. Barreiro, T. Beucler, M. Bocquet, C. S. Bretherton, H.M. Christensen, D. J. Gagne, D. Hall, D. Hammerling, S. Hoyer, F. Iglesias-Suarez, I. Lopez-Gomez, M. C. McGraw, G. A. Meehl, M. J. Molina, C. Monteleoni, J. Mueller, M. S. Pritchard, D. Rolnick, J. Runge, P. Stier, O. Watt-Meyer, K. Weigel, R. Yu, and L. Zanna, 2024: Pushing the frontiers in climate modeling and analysis with machine learning, Nature Climate Change, doi:10.1038/s41558-024-02095-y.
Trok, Jared, Elizabeth A. Barnes, Frances Davenport and Noah Diffenbaugh. 2024: "Machine Learning-Based Extreme Event Attribution", Science Advances. https://www.science.org/doi/10.1126/sciadv.adl3242.
Connolly, Charlotte, Emily M. Prewett, Elizabeth A. Barnes, James W. Hurrell. 2024. “Quantifying the Impact of Internal Variability on the CESM2 Control Algorithm for Stratospheric Aerosol Injection.” Earth's Future. 12(6): e2023EF004300. https://doi.org/10.1029/2023EF004300
Morrison, A. L., E. A. Barnes, and J. W. Hurrell. 2024. “Natural Variability Can Mask Forced Permafrost Response to Stratospheric Aerosol Injection in the ARISE-SAI-1.5 Simulations.” Earth’s Future 12 (6): e2023EF004191. https://doi.org/10.1029/2023EF004191.
Tamaki Suematsu, Tamaki, Zane Martin, Elizabeth A. Barnes, Yoo-Geun Ham, Daehyun Kim, Hyemi Kim5, Tieh-Yong Koh, Eric D. Maloney, Charlotte A. DeMott, 2024: "Incorrect computation of Madden-Julian oscillation prediction skill". npj Climate and Atmospheric Science, https://www.nature.com/articles/s41612-024-00687-1.
Hueholt, Daniel M., Elizabeth A. Barnes, James W. Hurrell, and Ariel L. Morrison. 2024. "Speed of environmental change frames relative ecological risk in climate change and climate intervention scenarios" Nature Communications, doi.org/10.1038/s41467-024-47656-z
Davenport, Frances V., Elizabeth A. Barnes, and Emily M. Gordon, 2024, “Skillful Multiyear Sea Surface Temperature Predictability in CMIP6 Models and Historical Observations”, Geophysical Research Letters, https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023GL108099.
Morrison, Ariel L., Elizabeth A. Barnes, and James W. Hurrell. 2024. "Stratospheric aerosol injection to stabilize Northern Hemisphere terrestrial permafrost extent under the ARISE-SAI-1.5 scenario." Earth's Future, https://doi.org/10.1029/2023EF004151
McGovern, Amy, Imme Ebert-Uphoff, Elizabeth A. Barnes, Ann Bostrom, Mariana G. Cains, Phillip Davis, Julie L. Demuth, et al. 2024. “AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography.” AI Magazine. https://doi.org/10.1002/aaai.12160.
2023
Rader, Jamin K., and Elizabeth A. Barnes. 2023. “Optimizing Seasonal-To-Decadal Analog Forecasts With a Learned Spatially-Weighted Mask.” Geophysical Research Letters 50 (23): e2023GL104983. https://doi.org/10.1029/2023GL104983.
Mamalakis, Antonios, Elizabeth A. Barnes and James W. Hurrell. 2023. "Quantifying "climate distinguishability" after stratospheric aerosol injection using explainable artificial intelligence". Geophysical Research Letters, http://dx.doi.org/10.1029/2023GL106137.
Gordon, Emily M., Elizabeth A. Barnes and Frances V. Davenport. 2023. "Separating Internal and Forced Contributions to Near Term SST Predictability in the CESM2-LE". https://iopscience.iop.org/article/10.1088/1748-9326/acfdbc. Environmental Research Letters.
*Yu, S., W. Hannah ... E. A. Barnes, and co-authors, 2023: ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators, https://arxiv.org/abs/2306.08754.
Arcodia, Marybeth, Elizabeth A. Barnes, Kirsten Mayer, Jiwoo Lee, Ana Ordonez, and Min-Seop Ahn. 2023. "Assessing Decadal Variability of Subseasonal Forecasts of Opportunity using Explainable AI." Environmental Research: Climate. https://doi.org/10.1088/2752-5295/aced60
Trok, Jared T., Frances V. Davenport, Elizabeth A. Barnes, and Noah S. Diffenbaugh. 2023. “Using Machine Learning with Partial Dependence Analysis to Investigate Coupling between Soil Moisture and Near‐surface Temperature.” Journal of Geophysical Research, June. https://doi.org/10.1029/2022jd038365.
Barnes, Elizabeth A., Randal J. Barnes, and Mark DeMaria. 2023. “Sinh-Arcsinh-Normal Distributions to Add Uncertainty to Neural Network Regression Tasks: Applications to Tropical Cyclone Intensity Forecasts.” Environmental Data Science 2 (January): e15. https://doi.org/10.1017/eds.2023.7.
Hueholt, Daniel M., Elizabeth A. Barnes, James Wilson Hurrell, Jadwiga H. Richter, and Lantao Sun. 2023. “Assessing Outcomes in Stratospheric Aerosol Injection Scenarios Shortly after Deployment.” Earth's Future, 11(5). https://doi.org/10.1029/2023EF003488
Diffenbaugh, Noah S., Elizabeth A. Barnes, and Patrick W. Keys. 2023. “Probability of Continued Local-Scale Warming and Extreme Events during and after Decarbonization.” Environmental Research: Climate. https://doi.org/10.1088/2752-5295/accf2f.
Connolly, Charlotte, Elizabeth A. Barnes, Pedram Hassanzadeh, and Mike Pritchard. 2023. “Using Neural Networks to Learn the Jet Stream Forced Response from Natural Variability.” Artificial Intelligence for the Earth Systems 2 (2). https://doi.org/10.1175/AIES-D-22-0094.1
Labe, Zachary Michael, Elizabeth A. Barnes, and James Hurrell. 2023. “Identifying the Regional Emergence of Climate Patterns in the ARISE-SAI-1.5 Simulations.” Environmental Research Letters: ERL, https://doi.org/10.1088/1748-9326/acc81a.
Beobide-Arsuaga, Goratz, André Düsterhus, Wolfgang A. Müller, Elizabeth A. Barnes, and Johanna Baehr. 2023. “Spring Regional Sea Surface Temperatures as a Precursor of European Summer Heatwaves.” Geophysical Research Letters 50 (2). https://doi.org/10.1029/2022gl100727.
Diffenbaugh, Noah S., and Elizabeth A. Barnes. 2023. “Data-Driven Predictions of the Time Remaining until Critical Global Warming Thresholds Are Reached.” Proceedings of the National Academy of Sciences 120 (6): e2207183120. https://doi.org/10.1073/pnas.2207183120.
Mamalakis, Antonios, Elizabeth A. Barnes, and Imme Ebert-Uphoff. 2023. “Carefully Choose the Baseline: Lessons Learned from Applying XAI Attribution Methods for Regression Tasks in Geoscience.” Artificial Intelligence for the Earth Systems 2 (1). https://doi.org/10.1175/AIES-D-22-0058.1.
2022
Po-Chedley, Stephen, John T. Fasullo, Nicholas Siler, Zachary M. Labe, Elizabeth A. Barnes, Céline J. W. Bonfils, and Benjamin D. Santer. 2022. “Internal Variability and Forcing Influence Model–satellite Differences in the Rate of Tropical Tropospheric Warming.” Proceedings of the National Academy of Sciences 119 (47): e2209431119. https://doi.org/10.1073/pnas.2209431119.
Barnes, Elizabeth A., James W. Hurrell, and Lantao Sun. 2022. “Detecting Changes in Global Extremes under the GLENS‐SAI Climate Intervention Strategy.” Geophysical Research Letters 49 (20). https://doi.org/10.1029/2022gl100198.
*Keys, Patrick W., Curtis Bell, Elizabeth A. Barnes, James W. Hurrell, and Noah Diffenbaugh. 2022. “Solar Geoengineering Might Work, but Local Temperatures Could Keep Rising for Years.” The Conversation, September 27, 2022. http://theconversation.com/solar-geoengineering-might-work-but-local-temperatures-could-keep-rising-for-years-190638.
Keys, Patrick W., Elizabeth A. Barnes, Noah S. Diffenbaugh, James W. Hurrell, and Curtis M. Bell. 2022. “Potential for Perceived Failure of Stratospheric Aerosol Injection Deployment.” Proceedings of the National Academy of Sciences 119 (40): e2210036119. https://doi.org/10.1073/pnas.2210036119.
Mamalakis, Antonios, Elizabeth A. Barnes, and Imme Ebert-Uphoff. 2022. “Investigating the Fidelity of Explainable Artificial Intelligence Methods for Applications of Convolutional Neural Networks in Geoscience.” Artificial Intelligence for the Earth Systems -1 (aop): 1–42. https://doi.org/10.1175/AIES-D-22-0012.1.
Gordon, Emily M., and Elizabeth A. Barnes. 2022. “Incorporating Uncertainty into a Regression Neural Network Enables Identification of Decadal State-Dependent Predictability in CESM2.” Geophysical Research Letters, August. https://doi.org/10.1029/2022gl098635.
Labe, Zachary M., and Elizabeth A. Barnes. 2022. “Comparison of Climate Model Large Ensembles with Observations in the Arctic Using Simple Neural Networks.” Earth and Space Science (Hoboken, N.J.) 9 (7). https://doi.org/10.1029/2022ea002348.
Rader, Jamin K., Elizabeth A. Barnes, Imme Ebert-Uphoff, and Chuck Anderson. 2022. “Detection of Forced Change within Combined Climate Fields Using Explainable Neural Networks.” Journal of Advances in Modeling Earth Systems 14 (7). https://doi.org/10.1029/2021ms002941.
*Arcodia, Marybeth, Elizabeth Barnes, Charlotte Connolly, Frances Davenport, Zaibeth Carlo Frontera, Emily Gordon, Daniel Hueholt, Antonios Mamalakis and Elina Valkonen. 2022. “Applied Machine Learning Tutorial for Earth Scientists:” https://doi.org/10.5281/zenodo.6686879.
Barnes, Elizabeth A., Randal J. Barnes, Zane K. Martin, and Jamin K. Rader. 2022. “This Looks Like That There: Interpretable Neural Networks for Image Tasks When Location Matters.” Artificial Intelligence for the Earth Systems 1 (3). https://doi.org/10.1175/AIES-D-22-0001.1.
Mayer, Kirsten J., and Elizabeth A. Barnes. 2022. “Quantifying the Effect of Climate Change on Midlatitude Subseasonal Prediction Skill Provided by the Tropics.” Geophysical Research Letters 49 (14): e2022GL098663. https://doi.org/10.1029/2022GL098663.
Mamalakis, Antonios, Imme Ebert-Uphoff, and Elizabeth A. Barnes. 2022. “Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset.” Environmental Data Science 1. https://doi.org/10.1017/eds.2022.7.
*Mamalakis, Antonios, Imme Ebert-Uphoff, and Elizabeth A. Barnes. 2022. “CSU - Synthetic Attribution Benchmark Dataset.” Radiant MLHub. https://doi.org/10.34911/RDNT.8SNX6C.
Labe, Zachary M., and Elizabeth A. Barnes. 2022. “Predicting Slowdowns in Decadal Climate Warming Trends with Explainable Neural Networks.” Geophysical Research Letters 49 (9). https://doi.org/10.1029/2022gl098173.
Martin, Zane K., Elizabeth A. Barnes, and Eric Maloney. 2022. “Using Simple, Explainable Neural Networks to Predict the madden‐Julian Oscillation.” Journal of Advances in Modeling Earth Systems 14 (5). https://doi.org/10.1029/2021ms002774.
Hsiao, Wei-Ting, Elizabeth A. Barnes, Eric D. Maloney, Stefan N. Tulich, Juliana Dias, and George N. Kiladis. 2022. “Role of the Tropics in State‐dependent Improvements of US West Coast NOAA Unified Forecast System Precipitation Forecasts.” Geophysical Research Letters 49 (5). https://doi.org/10.1029/2021gl096447.
2021
*Mamalakis, Antonios, Imme Ebert-Uphoff, and Elizabeth A. Barnes. 2022. “Explainable Artificial Intelligence in Meteorology and Climate Science: Model Fine-Tuning, Calibrating Trust and Learning New Science.” In xxAI - Beyond Explainable AI: International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers, edited by Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Müller, and Wojciech Samek, 315–39. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-04083-2_16.
Gordon, E. M., E. A. Barnes, and J. W. Hurrell. 2021. “Oceanic Harbingers of Pacific Decadal Oscillation Predictability in CESM2 Detected by Neural Networks.” Geophysical Research Letters, October. https://doi.org/10.1029/2021gl095392.
Barnes, Elizabeth A., and Randal J. Barnes. 2021. “Controlled Abstention Neural Networks for Identifying Skillful Predictions for Regression Problems.” Journal of Advances in Modeling Earth Systems 13 (12). https://doi.org/10.1029/2021ms002575.
Barnes, Elizabeth A., and Randal J. Barnes. 2021. “Controlled Abstention Neural Networks for Identifying Skillful Predictions for Classification Problems.” Journal of Advances in Modeling Earth Systems 13 (12). https://doi.org/10.1029/2021ms002573.
*Barnes, Elizabeth A., Randal J. Barnes, and Nicolas Gordillo. 2021. “Adding Uncertainty to Neural Network Regression Tasks in the Geosciences.” http://arxiv.org/abs/2109.07250, September. http://arxiv.org/abs/2109.07250.
*Klein, Stephen, Elizabeth Barnes, Céline Bonfils, Paul Durack, André Goncalves, Alex Hall, Jiwoo Lee, et al. 2021. “Advancing the Predictability of Water Cycle Phenomena via the Application of AI to Model Ensemble Simulations and Observations.” Atmospheric Radiation Measurement (ARM) Archive. https://doi.org/10.2172/1769656.
*Dagon, Katherine, Maria Molina, Gerald Meehl, Jadwiga Richter, Elizabeth Barnes, Judith Berner, Julie Caron, et al. 2021. “Machine Learning to Extend and Understand the Sources and Limits of Water Cycle Predictability on Subseasonal-to-Decadal Timescales in the Earth System.” Atmospheric Radiation Measurement (ARM) Archive. https://doi.org/10.2172/1769744.
*Ma, Po-Lun, Christopher Bretherton, Panos Stinis, Vince Larson, Elizabeth Barnes, Sam Silva, Joseph Hardin, et al. 2021. “Facilitating Better and Faster Simulations of Aerosol-Cloud Interactions in Earth System Models.” Atmospheric Radiation Measurement (ARM) Archive. https://doi.org/10.2172/1769709.
Jones, Jhordanne J., Michael M. Bell, Philip J. Klotzbach, and Elizabeth A. Barnes. 2022. “Wintertime Rossby Wave Breaking Persistence in Extended-Range Seasonal Forecasts of Atlantic Tropical Cyclone Activity.” Journal of Climate 35 (7): 2133–47. https://doi.org/10.1175/JCLI-D-21-0213.1.
Jenney, Andrea M., David A. Randall, and Elizabeth A. Barnes. 2021. “Drivers of Uncertainty in Future Projections of Madden–Julian Oscillation Teleconnections.” Weather and Climate Dynamics 2 (3): 653–73. https://doi.org/10.5194/wcd-2-653-2021.
Irrgang, Christopher, Niklas Boers, Maike Sonnewald, Elizabeth A. Barnes, Christopher Kadow, Joanna Staneva, and Jan Saynisch-Wagner. 2021. “Towards Neural Earth System Modelling by Integrating Artificial Intelligence in Earth System Science.” Nature Machine Intelligence 3 (8): 667–74. https://doi.org/10.1038/s42256-021-00374-3.
Labe, Zachary M., and Elizabeth A. Barnes. 2021. “Detecting Climate Signals Using Explainable AI with Single-forcing Large Ensembles.” Journal of Advances in Modeling Earth Systems 13 (6). https://doi.org/10.1029/2021ms002464.
Mayer, Kirsten J., and Elizabeth A. Barnes. 2021. “Subseasonal Forecasts of Opportunity Identified by an Explainable Neural Network.” Geophysical Research Letters, May. https://doi.org/10.1029/2020gl092092.
Toms, Benjamin A., Elizabeth A. Barnes, and James W. Hurrell. 2021. “Assessing Decadal Predictability in an Earth-system Model Using Explainable Neural Networks.” Geophysical Research Letters 48 (12). https://doi.org/10.1029/2021gl093842.
Tseng, Kai-Chih, Nathaniel C. Johnson, Eric D. Maloney, Elizabeth A. Barnes, and Sarah B. Kapnick. 2021. “Mapping Large-Scale Climate Variability to Hydrological Extremes: An Application of the Linear Inverse Model to Subseasonal Prediction.” Journal of Climate 34 (11): 4207–25. https://doi.org/10.1175/JCLI-D-20-0502.1.
Samarasinghe, Savini M., Charlotte Connolly, Elizabeth A. Barnes, Imme Ebert-Uphoff, and Lantao Sun. 2021. “Strengthened Causal Connections between the MJO and the North Atlantic with Climate Warming.” Geophysical Research Letters 48 (5). https://doi.org/10.1029/2020gl091168.
Keys, Patrick W., Elizabeth A. Barnes, and Neil H. Carter. 2021. “A Machine-Learning Approach to Human Footprint Index Estimation with Applications to Sustainable Development.” Environmental Research Letters: ERL [Web Site] 16 (4): 044061. https://doi.org/10.1088/1748-9326/abe00a.
2020
Gonzales, Katerina R., Daniel L. Swain, Elizabeth A. Barnes, and Noah S. Diffenbaugh. 2020. “Moisture- versus Wind-dominated Flavors of Atmospheric Rivers.” Geophysical Research Letters n/a (n/a): e2020GL090042. https://doi.org/10.1029/2020gl090042.
Hsiao, W-T, Eric D. Maloney, and Elizabeth A. Barnes. 2020. “Investigating Recent Changes in MJO Precipitation and Circulation in Multiple Reanalyses.” Geophysical Research Letters 47 (22): 29. https://doi.org/10.1029/2020GL090139.
*Barnes, Elizabeth A., Kirsten Mayer, Benjamin Toms, Zane Martin and Emily Gordon. 2020. "Identifying Opportunities for Skillful Weather Prediction with Interpretable Neural Networks". Keynote talk and conference paper at NeurIPS AI4EARTH 2020. https://arxiv.org/abs/2012.07830.
Brey, Steven J., Jeffrey R. Pierce, Elizabeth A. Barnes, and Emily V. Fischer. 2020. “Estimating the Spread in Future Fine Dust Concentrations in the Southwest United States.” Journal of Geophysical Research, D: Atmospheres 125 (21): e2019JD031735. https://doi.org/10.1029/2019JD031735.
Nardi, Kyle M., Cory F. Baggett, Elizabeth A. Barnes, Eric D. Maloney, Daniel S. Harnos, and Laura M. Ciasto. 2020. “Skillful All-Season S2S Prediction of U.S. Precipitation Using the MJO and QBO.” Weather and Forecasting 35 (5): 2179–98. https://doi.org/10.1175/WAF-D-19-0232.1.
*Wills, Robert, Sebastian Sippel, and Elizabeth A. Barnes. 2020. “Separating Forced and Unforced Components of Climate Change: The Utility of Pattern Recognition Methods in Large Ensembles and Observations.” US CLIVAR Variations, August 2020. https://doi.org/10.5065/0DSY-WH17.
Barnes, Elizabeth A., Benjamin Toms, James W. Hurrell, Imme Ebert-Uphoff, Chuck Anderson, and David Anderson. 2020. “Indicator Patterns of Forced Change Learned by an Artificial Neural Network.” Journal of Advances in Modeling Earth Systems n/a (n/a): e2020MS002195. https://doi.org/10.1029/2020MS002195.
Brey, Steven J., Elizabeth A. Barnes, Jeffrey R. Pierce, Abigail L. S. Swann, and Emily V. Fischer. 2020. “Past Variance and Future Projections of the Environmental Conditions Driving Western U.s. Summertime Wildfire Burn Area.” Earth’s Future 9 (2): e2020EF001645. https://doi.org/10.1029/2020EF001645.
Ronalds, Bryn, Elizabeth A. Barnes, Rosie Eade, Yannick Peings, and Michael Sigmond. 2020. “North Pacific Zonal Wind Response to Sea Ice Loss in the Polar Amplification Model Intercomparison Project and Its Downstream Implications.” Climate Dynamics, July. https://doi.org/10.1007/s00382-020-05352-w.
Toms, Benjamin A., Elizabeth A. Barnes, and Imme Ebert-Uphoff. 2020. “Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability.” Journal of Advances in Modeling Earth Systems, June. https://doi.org/10.1029/2019MS002002.
Mayer, Kirsten J., and Elizabeth A. Barnes. 2020. “Subseasonal Midlatitude Prediction Skill Following Quasi-Biennial Oscillation and Madden–Julian Oscillation Activity.” Weather and Climate Dynamics 1 (1): 247–59. https://doi.org/10.5194/wcd-1-247-2020.
Tseng, Kai-Chih, Eric Maloney, and Elizabeth A. Barnes. 2020. “The Consistency of MJO Teleconnection Patterns on Interannual Time Scales.” Journal of Climate 33 (9): 3471–86. https://doi.org/10.1175/JCLI-D-19-0510.1.
Toms, Benjamin A., Elizabeth A. Barnes, Eric D. Maloney, and Susan C. Heever. 2020. “The Global Teleconnection Signature of the Madden‐Julian Oscillation and Its Modulation by the Quasi‐Biennial Oscillation.” Journal of Geophysical Research, D: Atmospheres 125 (7): 1. https://doi.org/10.1029/2020JD032653.
Lang, Andrea L., Kathleen Pegion, and Elizabeth A. Barnes. 2020. “Introduction to Special Collection: ‘Bridging Weather and Climate: Subseasonal-to-Seasonal (S2S) Prediction.’” Journal of Geophysical Research, D: Atmospheres 125 (4): 1. https://doi.org/10.1029/2019JD031833.
Mariotti, Annarita, Cory Baggett, Elizabeth A. Barnes, Emily Becker, Amy Butler, Dan C. Collins, Paul A. Dirmeyer, et al. 2020. “Windows of Opportunity for Skillful Forecasts Subseasonal to Seasonal and Beyond.” Bulletin of the American Meteorological Society 101 (5): E608–25. https://doi.org/10.1175/BAMS-D-18-0326.1.
McGraw, Marie C., and Elizabeth A. Barnes. 2020. “New Insights on Subseasonal Arctic–Midlatitude Causal Connections from a Regularized Regression Model.” Journal of Climate 33 (1): 213–28. https://doi.org/10.1175/JCLI-D-19-0142.1.
Tseng, Kai-Chih, Elizabeth A. Barnes, and Eric Maloney. 2020. “The Importance of Past MJO Activity in Determining the Future State of the Midlatitude Circulation.” Journal of Climate. https://doi.org/10.1175/JCLI-D-19-0512.1.
2019
Barnes, Elizabeth A., James W. Hurrell, Imme Ebert-Uphoff, Chuck Anderson, and David Anderson. 2019. “Viewing Forced Climate Patterns Through an AI Lens.” Geophysical Research Letters 46 (22): 13389–98. https://doi.org/10.1029/2019GL084944.
Nabizadeh, Ebrahim, Pedram Hassanzadeh, Da Yang, and Elizabeth A. Barnes. 2019. “Size of the Atmospheric Blocking Events: Scaling Law and Response to Climate Change.” Geophysical Research Letters 14 (November): 1. https://doi.org/10.1029/2019GL084863.
Ebert-Uphoff, I., S. M. Samarasinghe, and E. A. Barnes. 2019. “Thoughtfully Using Artificial Intelligence in Earth Science,” 2019. https://eos.org/opinions/thoughtfully-using-artificial-intelligence-in-earth-science.
Barnes, Elizabeth A., Savini M. Samarasinghe, Imme Ebert-Uphoff, and Jason C. Furtado. 2019. “Tropospheric and Stratospheric Causal Pathways Between the MJO and NAO.” Journal of Geophysical Research, D: Atmospheres 124 (16): 9356–71. https://doi.org/10.1029/2019JD031024.
Ronalds, Bryn, and Elizabeth A. Barnes. 2019. “A Role for Barotropic Eddy–Mean Flow Feedbacks in the Zonal Wind Response to Sea Ice Loss and Arctic Amplification.” Journal of Climate 32 (21): 7469–81. https://doi.org/10.1175/JCLI-D-19-0157.1.
Jenney, A. M., K. M. Nardi, E. A. Barnes, and D. A. Randall. 2019. “The Seasonality and Regionality of MJO Impacts on North American Temperature.” Geophysical Research Letters 46 (15): 9193–9202. https://doi.org/10.1029/2019gl083950.
Gonzales, Katerina R., Daniel L. Swain, Kyle M. Nardi, Elizabeth A. Barnes, and Noah S. Diffenbaugh. 2019. “Recent Warming of Landfalling Atmospheric Rivers along the West Coast of the United States.” Journal of Geophysical Research 124 (13): 6810–26. https://doi.org/10.1029/2018jd029860.
Stone, Kane A., Susan Solomon, Douglas E. Kinnison, Cory F. Baggett, and Elizabeth A. Barnes. 2019. “Prediction of Northern Hemisphere Regional Surface Temperatures Using Stratospheric Ozone Information.” Journal of Geophysical Research, D: Atmospheres, March. https://doi.org/10.1029/2018JD029626.
Jenney, A. M., D. A. Randall, and E. A. Barnes. 2019. “Quantifying Regional Sensitivities to Periodic Events: Application to the MJO.” Journal of Geophysical Research, D: Atmospheres 124 (7): 3671–83. https://doi.org/10.1029/2018JD029457.
Anderson, G. Brooke, Elizabeth A. Barnes, Michelle L. Bell, and Francesca Dominici. 2019. “The Future of Climate Epidemiology: Opportunities for Advancing Health Research in the Context of Climate Change.” American Journal of Epidemiology 188 (5): 866–72. https://doi.org/10.1093/aje/kwz034.
Mariotti, A., E. A. Barnes, E. K.-M. Chang, A. Lang, P. A. Dirmeyer, K. Pegion, D. Barrie, and C. Baggett. 2019. “Bridging the Weather-to-Climate Prediction Gap,” 2019. https://doi.org/10.1029/2019EO115819.
Tseng, Kai-Chih, Eric Maloney, and Elizabeth Barnes. 2019. “The Consistency of MJO Teleconnection Patterns: An Explanation Using Linear Rossby Wave Theory.” Journal of Climate 32 (2): 531–48. https://doi.org/10.1175/JCLI-D-18-0211.1.
2018
Baggett, Cory F., Kyle M. Nardi, Samuel J. Childs, Samantha N. Zito, Elizabeth A. Barnes, and Eric D. Maloney. 2018. “Skillful Subseasonal Forecasts of Weekly Tornado and Hail Activity Using the Madden‐Julian Oscillation.” Journal of Geophysical Research, D: Atmospheres, Int. Geophys. Ser., 123 (22): 12,661–12,675. https://doi.org/10.1029/2018JD029059.
*Ramsey, J., K. Zhang, M. Glymour, R. Sanchez Romero, B. Huang, I. Ebert-Uphoff, E. Barnes, C. Glymour. 2018. "A Toolbox for Causal Discovery in Climate Science." Proceedings of the Eighth International Workshop on Climate Informatics (CI 2018). http://dx.doi.org/10.5065/D6BZ64XQ.
*Samarasinghe, Savini, E. Barnes and I. Ebert-Uphoff. 2018. "Causal Discovery in the Presence of Latent Variables for Climate Science". Proceedings of the Eighth International Workshop on Climate Informatics (CI 2018). http://dx.doi.org/10.5065/D6BZ64XQ.
*Barnes, E., C. Anderson and I. Ebert-Uphoff. 2018. "An AI Approach to Determining Time of Emergence of Climate Change." Proceedings of the Eighth International Workshop on Climate Informatics (CI 2018), http://dx.doi.org/10.5065/D6BZ64XQ.
Ralph, F. Martin, Anna M. Wilson, Tamara Shulgina, Brian Kawzenuk, Scott Sellars, Jonathan J. Rutz, Maryam A. Lamjiri, et al. 2019. “ARTMIP-Early Start Comparison of Atmospheric River Detection Tools: How Many Atmospheric Rivers Hit Northern California’s Russian River Watershed?” Climate Dynamics 52 (7): 4973–94. https://doi.org/10.1007/s00382-018-4427-5.
Samarasinghe, S. M., M. C. McGraw, E. A. Barnes, and I. Ebert-Uphoff. 2018. “A Study of Links between the Arctic and the Midlatitude Jet Stream Using Granger and Pearl Causality.” Environmetrics 40 (October): e2540. https://doi.org/10.1002/env.2540.
Brey, Steven J., Elizabeth A. Barnes, Jeffrey R. Pierce, Christine Wiedinmyer, and Emily V. Fischer. 2018. “Environmental Conditions, Ignition Type, and Air Quality Impacts of Wildfires in the Southeastern and Western United States.” Earth’s Future 6 (10): 1442–56. https://doi.org/10.1029/2018EF000972.
Simpson, Isla R., Clara Deser, Karen A. McKinnon, and Elizabeth A. Barnes. 2018. “Modeled and Observed Multidecadal Variability in the North Atlantic Jet Stream and Its Connection to Sea Surface Temperatures.” Journal of Climate 31 (20): 8313–38. https://doi.org/10.1175/JCLI-D-18-0168.1.
Nardi, Kyle M., Elizabeth A. Barnes, and F. Martin Ralph. 2018. “Assessment of Numerical Weather Prediction Model Reforecasts of the Occurrence, Intensity, and Location of Atmospheric Rivers along the West Coast of North America.” Monthly Weather Review 146 (10): 3343–62. https://doi.org/10.1175/MWR-D-18-0060.1.
Ronalds, Bryn, Elizabeth Barnes, and Pedram Hassanzadeh. 2018. “CORRIGENDUM.” Journal of Climate 31 (23): 9787–89. https://doi.org/10.1175/JCLI-D-18-0624.1.
Ronalds, Bryn, Elizabeth Barnes, and Pedram Hassanzadeh. 2018. “A Barotropic Mechanism for the Response of Jet Stream Variability to Arctic Amplification and Sea Ice Loss.” Journal of Climate 31 (17): 7069–85. https://doi.org/10.1175/JCLI-D-17-0778.1.
Dolan, B., B. Fuchs, S. A. Rutledge, E. A. Barnes, and E. J. Thompson. 2018. “Primary Modes of Global Drop Size Distributions.” Journal of the Atmospheric Sciences 75 (5): 1453–76. https://doi.org/10.1175/JAS-D-17-0242.1.
Liu, Chengji, and Elizabeth A. Barnes. 2018. “Quantifying Isentropic Mixing Linked to Rossby Wave Breaking in a Modified Lagrangian Coordinate.” Journal of the Atmospheric Sciences 75 (3): 927–42. https://doi.org/10.1175/JAS-D-17-0204.1.
McGraw, Marie C., and Elizabeth A. Barnes. 2018. “Memory Matters: A Case for Granger Causality in Climate Variability Studies.” Journal of Climate, January. https://doi.org/10.1175/JCLI-D-17-0334.1.
Mundhenk, Bryan D., Elizabeth A. Barnes, Eric D. Maloney, and Cory F. Baggett. 2018. “Skillful Empirical Subseasonal Prediction of Landfalling Atmospheric River Activity Using the Madden–Julian Oscillation and Quasi-Biennial Oscillation.” Npj Climate and Atmospheric Science 1 (1): 7. https://doi.org/10.1038/s41612-017-0008-2.
Woollings, Tim, Elizabeth Barnes, Brian Hoskins, Young-Oh Kwon, Robert W. Lee, Camille Li, Erica Madonna, et al. 2018. “Daily to Decadal Modulation of Jet Variability.” Journal of Climate 31 (4): 1297–1314. https://doi.org/10.1175/JCLI-D-17-0286.1.
Tseng, K-C, E. A. Barnes, and E. D. Maloney. 2018. “Prediction of the Midlatitude Response to Strong Madden-Julian Oscillation Events on S2S Time Scales.” Geophysical Research Letters 45 (1): 2017GL075734. https://doi.org/10.1002/2017GL075734.
Liu, Chengji, and Elizabeth Barnes. 2018. “Synoptic Formation of Double Tropopauses.” Journal of Geophysical Research, D: Atmospheres, 2017JD027941. https://doi.org/10.1002/2017JD027941.
2017
Barnes, Elizabeth A., and Isla R. Simpson. 2017. “Seasonal Sensitivity of the Northern Hemisphere Jet Streams to Arctic Temperatures on Subseasonal Time Scales.” Journal of Climate 30 (24): 10117–37. https://doi.org/10.1175/JCLI-D-17-0299.1.
Williams, Paul D., M. Joan Alexander, Elizabeth A. Barnes, Amy H. Butler, Huw C. Davies, Chaim I. Garfinkel, Yochanan Kushnir, et al. 2017. “A Census of Atmospheric Variability From Seconds to Decades.” Geophysical Research Letters 44 (21): 2017GL075483. https://doi.org/10.1002/2017GL075483.
Li, Jingyuan, David W. J. Thompson, Elizabeth A. Barnes, and Susan Solomon. 2017. “Quantifying the Lead Time Required for a Linear Trend to Emerge from Natural Climate Variability.” Journal of Climate 30 (24): 10179–91. https://doi.org/10.1175/JCLI-D-16-0280.1.
*Samarasinghe, Savini, Marie Mc Graw, Elizabeth A. Barnes, and Imme Ebert-Uphoff. 2017. “A Study of Causal Links Between the Arctic and the Midlatitude Jet-Streams.” In 7th International Workshop on Climate Informatics. https://doi.org/10.5065/D6222SH7.
Baggett, Cory F., Elizabeth A. Barnes, Eric D. Maloney, and Bryan D. Mundhenk. 2017. “Advancing Atmospheric River Forecasts into Subseasonal-to-Seasonal Time Scales.” Geophysical Research Letters 44 (14): 2017GL074434. https://doi.org/10.1002/2017GL074434.
Anderson, G. Brooke, Colin Eason, and Elizabeth A. Barnes. 2017. “Working with Daily Climate Model Output Data in R and the Futureheatwaves Package.” The R Journal 9 (1). https://doi.org/10.32614/RJ-2017-032.
Kolstad, E. W., E. A. Barnes, and S. P. Sobolowski. 2017. “Quantifying the Role of Land–atmosphere Feedbacks in Mediating near-Surface Temperature Persistence.” Quarterly Journal of the Royal Meteorological Society 143 (704): 1620–31. https://doi.org/10.1002/qj.3033.
Thompson, David W. J., Brian R. Crow, and Elizabeth A. Barnes. 2016. “Intraseasonal Periodicity in the Southern Hemisphere Circulation on Regional Spatial Scales.” Journal of the Atmospheric Sciences 74 (3): 865–77. https://doi.org/10.1175/JAS-D-16-0094.1.
2016
Mundhenk, Bryan D., Elizabeth A. Barnes, Eric D. Maloney, and Kyle M. Nardi. 2016. “Modulation of Atmospheric Rivers near Alaska and the U.S. West Coast by Northeast Pacific Height Anomalies.” Journal of Geophysical Research, D: Atmospheres 121 (21): 12,751–12,765. https://doi.org/10.1002/2016JD025350.
Shaw, T. A., M. Baldwin, E. A. Barnes, R. Caballero, C. I. Garfinkel, Y-T Hwang, C. Li, et al. 2016. “Storm Track Processes and the Opposing Influences of Climate Change.” Nature Geoscience 9 (August): 656. https://doi.org/10.1038/ngeo2783.
Barnes, Elizabeth A., Nicholas Parazoo, Clara Orbe, and A. Scott Denning. 2016. “Isentropic Transport and the Seasonal Cycle Amplitude of CO2.” Journal of Geophysical Research, D: Atmospheres 121 (13): 2016JD025109. https://doi.org/10.1002/2016JD025109.
McGraw, Marie C., Elizabeth A. Barnes, and Clara Deser. 2016. “Reconciling the Observed and Modeled Southern Hemisphere Circulation Response to Volcanic Eruptions.” Geophysical Research Letters 43 (13): 2016GL069835. https://doi.org/10.1002/2016GL069835.
McGraw, Marie C., and Elizabeth A. Barnes. 2016. “Seasonal Sensitivity of the Eddy-Driven Jet to Tropospheric Heating in an Idealized AGCM.” Journal of Climate 29 (14): 5223–40. https://doi.org/10.1175/JCLI-D-15-0723.1.
Mundhenk, Bryan D., Elizabeth A. Barnes, and Eric D. Maloney. 2016. “All-Season Climatology and Variability of Atmospheric River Frequencies over the North Pacific.” Journal of Climate 29 (13): 4885–4903. https://doi.org/10.1175/JCLI-D-15-0655.1.
Barnes, Elizabeth A., Susan Solomon, and Lorenzo M. Polvani. 2016. “Robust Wind and Precipitation Responses to the Mount Pinatubo Eruption, as Simulated in the CMIP5 Models.” Journal of Climate 29 (13): 4763–78. https://doi.org/10.1175/JCLI-D-15-0658.1.
Henderson, Stephanie A., Eric D. Maloney, and Elizabeth A. Barnes. 2016. “The Influence of the Madden–Julian Oscillation on Northern Hemisphere Winter Blocking.” Journal of Climate 29 (12): 4597–4616. https://doi.org/10.1175/JCLI-D-15-0502.1.
Barnes, Elizabeth A., Arlene M. Fiore, and Larry W. Horowitz. 2016. “Detection of Trends in Surface Ozone in the Presence of Climate Variability.” Journal of Geophysical Research, D: Atmospheres 121 (10): 2015JD024397. https://doi.org/10.1002/2015JD024397.
2015
Barnes, Elizabeth A., and Randal J. Barnes. 2015. “Estimating Linear Trends: Simple Linear Regression versus Epoch Differences.” Journal of Climate 28 (24): 9969–76. https://doi.org/10.1175/JCLI-D-15-0032.1.
Thompson, David W. J., Elizabeth A. Barnes, Clara Deser, William E. Foust, and Adam S. Phillips. 2015. “Quantifying the Role of Internal Climate Variability in Future Climate Trends.” Journal of Climate 28 (16): 6443–56. https://doi.org/10.1175/JCLI-D-14-00830.1.
Parazoo, Nicholas C., Elizabeth Barnes, John Worden, Anna B. Harper, Kevin B. Bowman, Christian Frankenberg, Sebastian Wolf, Marcy Litvak, and Trevor F. Keenan. 2015. “Influence of ENSO and the NAO on Terrestrial Carbon Uptake in the Texas-Northern Mexico Region.” Global Biogeochemical Cycles 29 (8): 2015GB005125. https://doi.org/10.1002/2015GB005125.
Barnes, Elizabeth A., and Lorenzo M. Polvani. 2015. “CMIP5 Projections of Arctic Amplification, of the North American/North Atlantic Circulation, and of Their Relationship.” Journal of Climate 28 (13): 5254–71. https://doi.org/10.1175/JCLI-D-14-00589.1.
Liu, Chengji, and Elizabeth A. Barnes. 2015. “Extreme Moisture Transport into the Arctic Linked to Rossby Wave Breaking.” Journal of Geophysical Research, D: Atmospheres 120 (9): 2014JD022796. https://doi.org/10.1002/2014JD022796.
Barnes, Elizabeth A., and James A. Screen. 2015. “The Impact of Arctic Warming on the Midlatitude Jet-Stream: Can It? Has It? Will It?” Wiley Interdisciplinary Reviews: Climate Change 6 (3): 277–86. https://doi.org/10.1002/wcc.337.
Woollings, T., C. Franzke, D. L. R. Hodson, B. Dong, E. A. Barnes, C. C. Raible, and J. G. Pinto. 2015. “Contrasting Interannual and Multidecadal NAO Variability.” Climate Dynamics 45 (1-2): 539–56. https://doi.org/10.1007/s00382-014-2237-y.
2014
Keys, P. W., E. A. Barnes, R. J. van der Ent, and L. J. Gordon. 2014. “Variability of Moisture Recycling Using a Precipitationshed Framework.” Hydrology and Earth System Sciences 18 (10): 3937–50. https://doi.org/10.5194/hess-18-3937-2014.
Pierce, J. R., D. M. Westervelt, S. A. Atwood, E. A. Barnes, and W. R. Leaitch. 2014. “New-Particle Formation, Growth and Climate-Relevant Particle Production in Egbert, Canada: Analysis from 1 Year of Size-Distribution Observations.” Atmospheric Chemistry and Physics 14 (16): 8647–63. https://doi.org/10.5194/acp-14-8647-2014.
Barnes, Elizabeth A., Etienne Dunn-Sigouin, Giacomo Masato, and Tim Woollings. 2014. “Exploring Recent Trends in Northern Hemisphere Blocking.” Geophysical Research Letters 41 (2): 638–44. https://doi.org/10.1002/2013GL058745.
Thompson, David W. J., and Elizabeth A. Barnes. 2014. “Periodic Variability in the Large-Scale Southern Hemisphere Atmospheric Circulation.” Science 343 (6171): 641–45. https://doi.org/10.1126/science.1247660.
Barnes, Elizabeth A., Nicholas W. Barnes, and Lorenzo M. Polvani. 2013. “Delayed Southern Hemisphere Climate Change Induced by Stratospheric Ozone Recovery, as Projected by the CMIP5 Models.” Journal of Climate 27 (2): 852–67. https://doi.org/10.1175/JCLI-D-13-00246.1.
Barnes, Elizabeth A., and David W. J. Thompson. 2013. “Comparing the Roles of Barotropic versus Baroclinic Feedbacks in the Atmosphere’s Response to Mechanical Forcing.” Journal of the Atmospheric Sciences 71 (1): 177–94. https://doi.org/10.1175/JAS-D-13-070.1.
2013
Barnes, Elizabeth A., Lorenzo M. Polvani, and Adam H. Sobel. 2013. “Model Projections of Atmospheric Steering of Sandy-like Superstorms.” Proceedings of the National Academy of Sciences of the United States of America 110 (38): 15211–15. https://doi.org/10.1073/pnas.1308732110.
Barnes, Elizabeth A. 2013. “Revisiting the Evidence Linking Arctic Amplification to Extreme Weather in Midlatitudes.” Geophysical Research Letters 40 (17): 4734–39. https://doi.org/10.1002/grl.50880.
Barnes, Elizabeth A., and Lorenzo Polvani. 2013. “Response of the Midlatitude Jets, and of Their Variability, to Increased Greenhouse Gases in the CMIP5 Models.” Journal of Climate 26 (18): 7117–35. https://doi.org/10.1175/JCLI-D-12-00536.1.
Hannachi, Abdel, Elizabeth A. Barnes, and Tim Woollings. 2013. “Behaviour of the Winter North Atlantic Eddy-Driven Jet Stream in the CMIP3 Integrations.” Climate Dynamics 41 (3-4): 995–1007. https://doi.org/10.1007/s00382-012-1560-4.
Garfinkel, Chaim I., Luke D. Oman, Elizabeth A. Barnes, Darryn W. Waugh, Margaret H. Hurwitz, and Andrea M. Molod. 2013. “Connections between the Spring Breakup of the Southern Hemisphere Polar Vortex, Stationary Waves, and Air–Sea Roughness.” Journal of the Atmospheric Sciences 70 (7): 2137–51. https://doi.org/10.1175/JAS-D-12-0242.1.
Barnes, Elizabeth A., and Arlene M. Fiore. 2013. “Surface Ozone Variability and the Jet Position: Implications for Projecting Future Air Quality.” Geophysical Research Letters 40 (11): 2839–44. https://doi.org/10.1002/grl.50411.
2012
Barnes, Elizabeth A., and Chaim I. Garfinkel. 2012. “Barotropic Impacts of Surface Friction on Eddy Kinetic Energy and Momentum Fluxes: An Alternative to the Barotropic Governor.” Journal of the Atmospheric Sciences 69 (10): 3028–39. https://doi.org/10.1175/JAS-D-11-0243.1.
Barnes, Elizabeth A., Julia Slingo, and Tim Woollings. 2012. “A Methodology for the Comparison of Blocking Climatologies across Indices, Models and Climate Scenarios.” Climate Dynamics 38 (11-12): 2467–81. https://doi.org/10.1007/s00382-011-1243-6.
Barnes, Elizabeth A., and Dennis L. Hartmann. 2012. “Detection of Rossby Wave Breaking and Its Response to Shifts of the Midlatitude Jet with Climate Change.” Journal of Geophysical Research 117 (D9): D09117. https://doi.org/10.1029/2012JD017469.
Barnes, Elizabeth A., and Dennis L. Hartmann. 2012. “The Global Distribution of Atmospheric Eddy Length Scales.” Journal of Climate 25 (9): 3409–16. https://doi.org/10.1175/JCLI-D-11-00331.1.
2011
Barnes, Elizabeth A., and Dennis L. Hartmann. 2011. “Rossby Wave Scales, Propagation, and the Variability of Eddy-Driven Jets.” Journal of the Atmospheric Sciences 68 (12): 2893–2908. https://doi.org/10.1175/JAS-D-11-039.1.
2010
Barnes, Elizabeth A., and Dennis L. Hartmann. 2010. “Influence of Eddy-Driven Jet Latitude on North Atlantic Jet Persistence and Blocking Frequency in CMIP3 Integrations.” Geophysical Research Letters 37 (23): L23802. https://doi.org/10.1029/2010GL045700.
Barnes, Elizabeth A., and Dennis L. Hartmann. 2010. “Testing a Theory for the Effect of Latitude on the Persistence of Eddy-Driven Jets Using CMIP3 Simulations.” Geophysical Research Letters 37 (15): L15801. https://doi.org/10.1029/2010GL044144.
Barnes, Elizabeth A., Dennis L. Hartmann, Dargan M. W. Frierson, and Joseph Kidston. 2010. “Effect of Latitude on the Persistence of Eddy-Driven Jets.” Geophysical Research Letters 37 (11): L11804. https://doi.org/10.1029/2010GL043199.
Barnes, Elizabeth A., and Dennis L. Hartmann. 2010. “Dynamical Feedbacks of the Southern Annular Mode in Winter and Summer.” Journal of the Atmospheric Sciences 67 (7): 2320–30. https://doi.org/10.1175/2010JAS3385.1.
Barnes, Elizabeth A., and Dennis L. Hartmann. 2010. “Dynamical Feedbacks and the Persistence of the NAO.” Journal of the Atmospheric Sciences 67 (3): 851–65. https://doi.org/10.1175/2009JAS3193.1.
2007
Barnes, Elizabeth A., Mary E. Power, Efi Foufoula-Georgiou, Miki Hondzo, and William E. Dietrich. 2007. “Upscaling River Biomass Using Dimensional Analysis and Hydrogeomorphic Scaling.” Geophysical Research Letters 34 (24): L24S26. https://doi.org/10.1029/2007GL031931.
Gangodagamage, Chandana, Elizabeth Barnes, and Efi Foufoula-Georgiou. 2007. “Scaling in River Corridor Widths Depicts Organization in Valley Morphology.” Geomorphology 91 (3): 198–215. https://doi.org/10.1016/j.geomorph.2007.04.014.