Publications
Accepted (5)
Kellie McClernon, Katherine Goode, and Daniel Ries. 2024. A comparison of model validation approaches for echo state networks using climate model replicates. Spatial Statistics 59. doi:10.1016/j.spasta.2024.100813.
Michael Weylandt and Laura P. Swiler. 2024. Beyond PCA: Additional dimension reduction techniques to consider in the development of climate fingerprints. Journal of Climate 37:5. doi:10.1175/JCLI-D-23-0267.1.
Joseph Hart, Mamikon Gulian, Indu Manickam, and Laura P. Swiler. 2023. Solving high-dimensional inverse problems with auxiliary uncertainty via operator learning with limited data. Journal of Machine Learning for Modeling and Computing 4:2, pp. 105-133. doi:10.1615/JMachLearnModelComput.2023048105.
J. Derek Tucker and Drew Yarger. 2023. Elastic functional changepoint detection of climate impacts from localized sources. Environmetrics 35:1. doi:10.1002/env.2826.
Irina Tezaur, Kara Peterson, Amy Powell, John Jakeman, and Erika Roesler. 2022. Global sensitivity analysis using the ultra-low resolution Energy Exascale Earth System Model. Journal of Advances in Modeling Earth Systems 14. doi:10.1029/2021MS002831.
Submitted (5)
Katherine Goode, Daniel Ries, and Kellie McClernon. Characterizing climate pathways using feature importance on echo state networks. Submitted to Statistical Analysis and Data Mining Conference on Data Analysis special issue.
Drew Yarger, Lyndsay Shand, and J. Derek Tucker. Detecting changepoints in globally-indexed functional time series. Under review in Spatial Statistics special issue on the Spatial Statistics 2023: Climate and the Environment Conference.
Sam Shi-Jun, Lyndsay Shand, and Bo Li. Tracing the impacts of Mount Pinatubo eruption on regional climate using spatially-varying changepoint detection. Submitted to Annals of Applied Statistics (AOAS).
Hunter Brown, Benjamin Wagman, Kara Peterson, Benjamin Hillman, Xiaohong Liu, Ziming Ke, Lin Lin, and Diana Bull. Validating a microphysical prognostic stratospheric aerosol implementation in E3SMv2 using the Mount Pinatubo eruption. Submitted to Geoscientific Model Development.
Joe Hollowed, Christiane Jablonowski, Hunter Brown, Benjamin Hillman, Diana Bull, and Joseph Hart. Localized injections of interactive volcanic aerosols and their climate impacts in a simple general circulation model. Submitted to Geoscientific Model Development.
Reports (2)
J. Jake Nichol, Robert Weylandt, Mark Smith, and Laura Swiler. 2023. Benchmarking the PCMCI causal discovery algorithm for spatiotemporal systems. No. SAND2023-05141. Sandia National Laboratories, Albuquerque, NM, and Livermore, CA (United States).
Contributions to: Nicki L. Hickmon, Charuleka Varadharajan, Forrest M. Hoffman, Haruko M. Wainwright, and Scott Collis. 2022. Artificial Intelligence for Earth System Predictability (AI4ESP) (2021 Workshop Report). United States. doi:10.2172/1888810.
Invited Presentations (14)
Christiane Jablonowski. (2023, Oct. 10). Tropical stratosphere-troposphere interactions in selected CMIP6 models. SPARC National Conference 2023, Scottsdale, AZ, United States.
Laura Swiler. (2023, Sept. 15). Use of data analysis, dimension reduction, and machine learning in climate attribution. UTEP Seminar to the Advanced Modeling and Simulation Group. SAND2023-09292PE.
Katherine Goode. (2023, Aug. 5-10) Characterizing climate pathways using feature importance on echo state networks. Joint Statistical Meetings, Toronto, Canada. SAND2023-06953C.
Katherine Goode. (2023, July). Characterizing climate pathways using feature importance on echo state networks. Machine Learning Deep Learning Workshop. SAND2023-06127C.
Lyndsay Shand. (2023, May 7-12). A multivariate space-time dynamic model for characterizing downstream impacts of the 1991 Mt Pinatubo volcanic eruption. BIRS-IMAG Workshop. Granada, Spain. SAND2023-02710C.
Diana Bull, Kara Peterson, Irina Tezaur, Lyndsay Shand, and Laura Swiler. (2023, Apr. 25-28). CLDERA: Developing a novel foundational approach for attributing localized source forcings in the climate. 22nd IACM Computational Fluids Conference (CFC) 2023, Cannes, France. SAND2023-02095C.
Daniel Ries. (2023, Feb.) Validating climate pathways using feature importance on echo state networks. University of Colorado, Department of Applied Mathematics Seminar. SAND2023-12977PE.
Diana L. Bull. (2022, Dec. 12-16). Climate and national security: A perspective from Sandia National Laboratories, Invited Panelist: AGU Fall Meeting Town Hall Advancing National Security through Science, Chicago, IL, United States.
Diana Bull, Laura Swiler, Kara Peterson, Irina Tezaur, Lyndsay Shand, and Lauren Wheeler. (2022, Dec. 7). Climate source attribution. Tri-Labs Climate Security Workshop, Albuquerque, NM, United States.
Laura Swiler. (2022, Oct. 27). Climate attribution studies: Categorization and capabilities. Nimbus Horizon Workshop.
Joseph Hart and Bart van Bloemen Waanders. (2022, Oct. 10-12). Hyper-differential sensitivity analysis with respect to model discrepancy. Scientific Machine Learning for Complex Systems: Beyond Forward Simulation to Inference and Optimization, Santa Fe Institute, Santa Fe, NM, United States. SAND2022-13812C.
Laura Swiler. (2022, Oct. 10-12). Scientific machine learning needs in climate attribution: An application example. Scientific Machine Learning for Complex Systems: Beyond Forward Simulation to Inference and Optimization, Santa Fe Institute, Santa Fe, NM, United States. SAND2022-13599 C.
Xiaohong Liu and Ziming Ke. (2022, June 16). Modal aerosol representation in the stratosphere in CESM2 and implications for ice nucleation and cloud properties. Geoengineering Modeling Research Consortium (GMRC), virtual.
Kara Peterson. (2022, Feb. 21). Analytics for climate prediction and attribution. Physics-Informed Learning Machines for Multiscale and Multiphysics Problems. SAND2022-1887PE.
Conference & Workshop Presentations
2024 (3)
Mamikon Gulian, Joseph Hart, Indu Manickam, and Laura Swiler. (2024, Feb. 27-Mar. 1). Operator learning to enable atmospheric source inversion. SIAM UQ 2024, Trieste, Italy.
Lyndsay Shand et al. (2024, Feb. 18-23). Multi-step attribution — the bridge to enable climate security. Gordon Research Conference on Climate Engineering, Lucca, Italy. SAND2024-01220C.
Hunter Brown et al. (2024, Jan. 28-Feb. 1). Improvements to stratospheric aerosol microphysics in E3SM and their impact on scattering and absorption efficiencies following Mt. Pinatubo. American Meteorological Society (AMS) 2024, Baltimore, MD, United States. SAND2024-00989C.
2023 (33)
Diana Bull, Kara Peterson, Irina Tezaur, Laura Swiler, Benjamin Wagman, Benjamin Hillman, Chris Wentland, Daniel Krofcheck, Lyndsay Shand, Hunter Brown, Thomas Ehrmann, and Justin Li. (2023, Dec. 11-15). Multi-step attribution — the bridge to enable climate security. AGU Fall Meeting 2023, San Francisco, CA, United States. SAND2023-14447C.
Joseph Hart, Mamikon Gulian, Indu Manickam, and Laura Swiler. (2023, Dec. 11-15). Operator learning to enable atmospheric source inversion. AGU Fall Meeting 2023, San Francisco, CA, United States. SAND2023-13745C.
Matt G. Peterson and Meredith Brown. (2023, Dec. 11-15). Random forest pathway detection: Identifying temperature pathways from a volcanic eruption. AGU Fall Meeting 2023, San Francisco, CA, United States.
Benjamin Wagman, Hunter Brown, Kara Peterson, Xiaohong Liu, Diana Bull. (2023, Jan. 10). Pre-industrial control and historical simulations for CLDERA-E3SMv2: An Earth System Model with prognostic volcanic aerosol. American Meteorological Society Annual Meeting, Denver, CO, United States. SAND2023-10528C.
Katherine Goode. (2023, Sept.). Characterizing climate pathways using feature importance on echo state networks. Albuquerque Chapter of the American Statistical Association, Albuquerque, NM, United States. SAND2023-10060C.
Gabriel Huerta. (2023, Sept.) A dynamic spatiotemporal model to characterize pathways following the Mt. Pinatubo eruption. EnviBayes Workshop on Complex Environmental Data, Fort Collins, CO, United States. SAND2023-09151D.
Katherine Goode, Daniel Ries, Kellie McClernon, and Lyndsay Shand. (2023, Aug. 5-10). Characterizing climate pathways using feature importance on echo state networks. Joint Statistical Meetings, Toronto, Canada. SAND2023-06953C.
Drew Yarger, J. Derek Tucker, and Lyndsay Shand. (2023, Aug. 5-10). Detecting changepoints in globally-indexed functional time series. Joint Statistical Meetings 2023, Toronto, Canada. SAND number 2023-06867C.
Robert Garrett. (2023, Aug. 5-10). Multivariate space-time dynamic model for characterizing pathways following the Mt Pinatubo eruption. Joint Statistical Meetings 2023, Toronto, Canada. SAND2023-13833PE.
Andrew Steyer. (2023, July 23-27). In-situ analysis of physical pathways activated by stratospheric aerosol injection in E3SM. 17th U.S. National Congress on Computational Mechanics (USNCCM), Albuquerque, NM, United States.
Brent C. Houchens, Kara Peterson, Benjamin Wagman, Hunter Brown, Benjamin Hillman, Diana Bull. (2023, July 23-27). Impacts of mesh refinement and number of ensemble members on climate variability predictions in E3SM. 17th U.S. National Congress on Computational Mechanics (USNCCM), Albuquerque, NM, United States. SAND2023-06971C.
Warren Davis. (2023, July 23-27). Application of in-situ machine learning towards climate simulation analysis and discovery. 17th U.S. National Congress on Computational Mechanics (USNCCM), Albuquerque, NM, United States. SAND2023-06958C.
Joseph Hart, Mamikon Gulian, Indu Manickam, and Laura Swiler. (2023, July 23-27). Solving high-dimensional inverse problems with auxiliary uncertainty via operator learning with limited data. 17th U.S. National Congress on Computational Mechanics (USNCCM), Albuquerque, NM, United States. SAND2023-06014C.
Robert Garrett. (2023, July 18-21). A dynamic space-time model for multivariate climate data. Spatial Statistics 2023: Climate and the Environment, Boulder, CO, United States.
Kellie McClernon. (2023, July 18-21). A model validation approach for echo state networks applied to spatio-temporal climate data. Spatial Statistics 2023: Climate and the Environment, Boulder, CO, United States. SAND2023-06544C
Drew Yarger, J. Derek Tucker, and Lyndsay Shand. (2023, July 18-21). Detecting changepoints in globally-indexed functional time series. Spatial Statistics 2023: Climate and the Environment, Boulder, CO, United States. SAND number 2023-05989C.
Joseph Hart, Mamikon Gulian, Indu Manickam, and Laura Swiler. (2023, July 17-20). Solving high-dimensional inverse problems with auxiliary uncertainty via operator learning with limited data. Machine Learning/Deep Learning Workshop. SAND2023-06014C.
Katherine Goode, Daniel Ries, Kellie McClernon, and Lyndsay Shand. (2023, July 17-20). Characterizing climate pathways using feature importance on echo state networks. Machine Learning/Deep Learning Workshop. SAND2023-06127C.
Katherine Goode, Daniel Ries, and Kellie McClernon. (2023, June 19-22). Feature Importance with deep echo state models. Conference on Mathematical & Computational Issues in the Geosciences (GS23), Bergen, Norway. SAND2023-05130C.
A. McCombs, J. Li, Mauricio Campos, Lyndsay Shand, and Gabriel Huerta. (2023, June 19-22). Data fusion with uncertainty quantification for observational data. Conference on Mathematical & Computational Issues in the Geosciences (GS23), Bergen, Norway. SAND2023-05100C.
Irinia Tezaur, Kara Peterson, Amy Powell, John Jakeman, and Erika Roesler. (2023, June 19-22). Ensemble design for sensitivity analyses using the Energy Exascale System Model (E3SM). Conference on Mathematical & Computational Issues in the Geosciences (GS23), Bergen, Norway. SAND2023-13222C.
J. Jake Nichol. (2023, May 24-26). Climate dynamics via spatially informed causal discovery. American Causal Inference Conference (ACIC) 2023, Austin, TX, United States. SAND2023-04389C.
Joseph Hart, Mamikon Gulian, Indu Manickam, and Laura Swiler. (2023, April 25-28). Solving high-dimensional inverse problems with auxiliary uncertainty via operator learning with limited data. 22nd IACM Computational Fluids Conference (CFC) 2023, Cannes, France. SAND2023-02512C.
Everett Wenzel and Brent Houchens. (2023, April 26-28). Application of the Eulerian-Lagrangian point-mass particle method to localized chemical and aerosol processes in the atmosphere. Computational Fluids Conference 2023, Cannes, France. SAND2023-02561C.
Christiane Jablonowski, Lisa Nguyen, Jean-Christophe Golaz, Nan Rosenbloom, Gerald Meehl. (2023, Apr. 23-28). Characteristics of the stratospheric tropical circulation of the Energy Exascale Earth System Model E3SMv2. European Geosciences Union (EGU) 2023, Abstract EGU23-15173, Vienna, Austria.
Joe Hollowed and Christiane Jablonowski. (2023, Apr. 23-28). A simple model of volcanic aerosol forcing against an idealized climatological background in support of the DOE CLDERA project. European Geosciences Union (EGU) 2023, Abstract EGU23-1720, Vienna, Austria, 23-28.
Robert Garrett, Lyndsay Shand, and Gabriel Huerta. (2023, Apr. 20). A multivariate space-time dynamic model for characterizing pathways following the Mt. Pinatubo eruption. Analytics for Climate and Earth Sciences (ACES) Community of Practice Earth Day, Albuquerque, NM, United States.
Katherine Goode et al. (2023, Apr. 20). Feature importance with deep echo state models for long term climate forecasting. Analytics for Climate and Earth Sciences (ACES) Community of Practice Earth Day, Albuquerque, NM, United States.
Warren Davis et al. (2023, Apr. 20). In‐situ machine learning (ISML) for climate simulation analysis and discovery. Analytics for Climate and Earth Sciences (ACES) Community of Practice Earth Day, Albuquerque, NM, United States.
Joseph Hart. (2023, Apr. 7). Solving inverse problems via neural network flow map approximation. Workshop on Establishing Benchmarks for Data-Driven Modeling of Physical Systems, Los Angeles, CA, United States. SAND2023-01605C.
Katherine Goode, Daniel Ries, Kellie McClernon, and Lyndsay Shand. (2023, Mar. 7-9). Feature importance with deep echo state models for long term climate forecasting. Conference on Data Analysis, Santa Fe, NM, United States. SAND2023-00045C.
Drew Yarger and J. Derek Tucker. (2023, Mar. 7-9). Detecting changepoints in globally-indexed functional time series. Conference on Data Analysis, Santa Fe, NM, United States. SAND2023-12751C.
Andrew Steyer et al. (2023, Jan. 8-12). In-situ analysis of physical pathways activated by aerosol injection in E3SM. American Meteorological Society (AMS) 2023, Denver, CO, United States. SAND2023-10801C.
Benjamin Wagman, Hunter Brown, Kara Peterson, Xiaohong Liu, and Diana Bull. (2023, Jan. 8-12). Pre-industrial control and historical simulations for CLDERA-E3SMv2: An Earth System Model with prognostic volcanic aerosol. American Meteorological Society (AMS) 2023, Denver, CO, United States. SAND2023-10528C.
2022 (24)
Hunter Brown, Benj Wagman, Kara Peterson, Xiaohong Liu, Ziming Ke, Diana Bull. (2022, Dec. 12-16). A simple chemistry approach to prognostic volcanic aerosol in E3SM – Modeling the Mt. Pinatubo eruption for CLDERA. AGU Fall Meeting 2022, Chicago, IL, United States. SAND2022-16872C.
Diana Bull, Kara Peterson, Irina Tezaur, Lyndsay Shand, Laura Swiler. (2022, Dec. 12-16). CLDERA: A novel foundational approach for attributing climate impacts. AGU Fall Meeting 2022, Chicago, IL, United States. GC25H-0769. SAND2022-16820.
Joe Hollowed and Christiane Jablonowski (2022, Dec. 12-16). A simple model of volcanic aerosol forcing against an idealized climatological background. Abstract A13C-01. AGU Fall Meeting 2022, Chicago, IL, United States.
Justin D. Li. (2022, Dec. 12-16). Systematic comparison of ground-based and satellite measurements using TOVS and radiosonde data. AGU Fall Meeting 2022, Chicago, IL, United States. SAND2022-16602C.
Lin Lin, Xiaohong Liu, Ziming Ke, Xiangjun Shi, and Kai Lyu. (2022, Dec. 12-16). Volcanic aerosol effects on cirrus through ice nucleation revealed by satellite measurements. In: AGU Fall Meeting Abstracts 2022, pp. A33F-08, Chicago, IL, United States
Matt Peterson, Meredith Brown, Jake Nichol, Irina Tezaur. (2022, Dec. 12-16). Feature pathway detection using random forest regressor feature importances. AGU Fall Meeting 2022, Chicago, IL, United States. SAND2022-16549C.
Diana Bull. (2022, Dec. 6). Research and development effort in climate security analysis. Military Operations Research Society (MORS).
Irina Tezaur, Kara Peterson, A. Powell, John Jakeman, and Erika Roesler. (2022, July 13-15). Global sensitivity analysis using the ultra-low resolution Energy Exascale Earth System Model. SIAM Conference on Mathematics of Planet Earth (MPE) 2022, Pittsburgh, PA, United States. SAND2022-3734C.
Joseph Hart, Mamikon Gulian, Indu Manickam, and Laura Swiler. (2022, July 11-15). Facilitating atmospheric source inversion via deep operator network surrogates. SIAM Conference on Mathematics of Planet Earth (MPE) 2022, Pittsburgh, PA, United States. SAND2022-9339C.
Christiane Jablonowski. (2022, July 13-15). The impact of numerical schemes on the atmospheric circulation in weather and climate models. SIAM Conference on Mathematics of Planet Earth (MPE) 2022, Pittsburgh, PA, United States.
Andrew Steyer, Graham Harper, Luca Bertagna, and Jerry Watkins. (2022, July 13-15). Detecting physical pathways with software profiling. SIAM Conference on Mathematics of Planet Earth (MPE) 2022, Pittsburgh, PA, United States.
Lyndsay Shand. (2022, June 26-July 1). Climate impact Determining Etiology through Pathways (CLDERA). Gordon Research Conference on Climate Engineering 2022, Newry, ME, United States. SAND2022-8243C.
Diana Bull, Kara Peterson, Irina Tezaur, Lyndsay Shand, and Laura Swiler. (2022, June 13-16). CLDERA: A novel foundational approach for attributing climate impacts. European Seminar on COmputing (ESCO) 2022, Pilsen, CZ. SAND2022-7561C.
Kenny Chowdry. (2022, June 13-16). E3SM atmosphere surrogate construction using data-driven reduced order modeling for Bayesian. European Seminar on COmputing (ESCO) 2022, Pilsen, CZ.
Warren L. Davis IV, Hemanth Kolla, Irina Tezaur, and Max Carlson. (2022, June 13-16). In-situ machine learning (ISML) for climate simulation analysis and discovery. European Seminar on COmputing (ESCO) 2022, Pilsen, CZ. SAND2022-7874C.
Mamikon Gulian, Joey Hart, Indu Manickam, and Laura Swiler. (2022, June 13-16). Facilitating atmospheric source inversion via deep operator network surrogates. European Seminar on COmputing (ESCO) 2022, Pilsen, CZ. SAND2022-7855C.
Xiaohong Liu, Allen Hu, and Ziming Ke. (2022, June 13-16). Impacts of model representations of aerosol and chemistry on E3SM simulated Pinatubo aerosol and aerosol effects on climate. European Seminar on COmputing (ESCO) 2022. Pilsen, CZ.
J. Jake Nichol. (2022, June 13-16). Global multivariate causal discovery for the analysis of emergent properties in Earth System Models. European Seminar on COmputing (ESCO) 2022, Pilsen, CZ. SAND2022-7523C.
Andrew Steyer, Luca Bertagna, Graham Harper, and Jerry Watkins. (2022, June 13-16). Detecting physical pathways with software profiling. European Seminar on COmputing (ESCO) 2022, Pilsen, CZ. SAND2022-7528C.
Irina Tezaur, Kara Peterson, Amy Powell, John Jakeman, and Erika Roesler. (2022, June 13-16). Global sensitivity analysis using the ultra-low resolution Energy Exascale Earth System Model. European Seminar on COmputing (ESCO) 2022, Pilsen, CZ. SAND2022-3734C.
Katherine Goode, Daniel Ries, J. Derek Tucker, and Lyndsay Shand. (2022, May 9-13). Feature importance with deep echo state models for long-term climate forecasting. Climate Informatics, Asheville, NC, United States. SAND2022-5871C.
Kenny Chowdary. (2022, Apr. 26). Climate impact Determining Etiology through Pathways (CLDERA). UC Davis Climate Security Symposium.
Joseph Hart and Bart van Bloemen Waanders. (2022, Apr. 12-15). Enabling and interpreting hyper-differential sensitivity analysis for Bayesian inverse problems. SIAM Conference on Uncertainty Quantification (UQ) 2022, Atlanta, GA, United States. SAND2022-3903C.
Irina Tezaur, Kara Peterson, Amy Powell, John Jakeman, and Erika Roesler. (2022, Apr. 12-15). Global sensitivity analysis using the ultra-low resolution Energy Exascale Earth System Model. SIAM Conference on Uncertainty Quantification (UQ) 2022, Atlanta, GA, United States. SAND2022-3734C.