Lyndsay Shand

Observation Pathway Lead

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Observation Pathway Lead

lshand@sandia.gov

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Biography

Lyndsay has expertise in spatial and spatio-temporal statistics, point process models, Bayesian hierarchical models, and statistical methods for remotely-sensed data, atmospheric, and climate applications. For the past eight years, she has developed space-time statistical methods for observational environmental and climate data. As principal investigator of Sandia’s first Marine Cloud Brightening LDRD, her interdisciplinary team developed data-driven methods to understand the local impacts of ship emissions. Lyndsay is also a key contributor to Sandia’s Climate Security Strategy and holds an adjunct faculty position in the Department of Statistics at University of Illinois Urbana-Champaign.

Publications

  • Goode, K., Ries, D., McClernon, K., Shand, L., & Shand, L. (2024). Characterizing climate pathways using feature importance on echo state networks [Conference Presenation]. Statistical Analysis and Data Mining. https://doi.org/10.2172/2430546 Publication ID: 125852
  • Yarger, D., Wagman, B.M., Chowdhary, K., Shand, L., & Shand, L. (2024). Autocalibration of the E3SM Version 2 Atmosphere Model Using a PCA-Based Surrogate for Spatial Fields. Journal of Advances in Modeling Earth Systems, 16(4). https://doi.org/10.1029/2023ms003961 Publication ID: 124652
  • Wheeler, L.B., Zeitler, T., Brunell, S.B., Lien, J.M., Shand, L., Wagman, B.M., Roesler, E.L., Martinez, C., Potter, K.M., & Potter, K.M. (2023). Performance assessment for climate intervention (PACI): preliminary application to a stratospheric aerosol injection scenario. Frontiers in Environmental Science, 11(1205515). https://doi.org/10.3389/fenvs.2023.1205515 Publication ID: 122544
  • Tucker, J.D., Shand, L., & Shand, L. (2023). Detecting changepoints in globally-indexed functional data [Conference Presenation]. https://doi.org/10.2172/2430531 Publication ID: 125804
  • Shand, L., Yarger, D., Wagman, B.M., Collins, G.Q., & Collins, G.Q. (2023). An autotuning approach to DOE’s earth system model [Conference Presenation]. https://doi.org/10.2172/2430491 Publication ID: 125680
  • Tucker, J.D., Shand, L., & Shand, L. (2023). Detecting changepoints in globally-indexed functional time series [Conference Poster]. https://doi.org/10.2172/2430747 Publication ID: 126564
  • Goode, K., Ries, D., McClernon, K., Shand, L., & Shand, L. (2023). Characterizing climate pathways using feature importance on echo state networks [Conference Presenation]. https://doi.org/10.2172/2430746 Publication ID: 126560
  • Campos, M., McCombs, A.L., Li, J.D., Huerta, J.G., Shand, L., & Shand, L. (2023). ADVANCEMENTS IN ENVIRONMENTAL STATISTICS CONCERNING MULTIPLEDATA SOURCES. https://www.osti.gov/biblio/2430738 Publication ID: 126528
  • Garrett, R.C., Shand, L., Huerta, J.G., & Huerta, J.G. (2023). A Multivariate Space-Time Dynamic Model for characterizing pathways following the 1991 Mt Pinatubo volcanic eruption [Conference Presenation]. https://doi.org/10.2172/2430676 Publication ID: 126332
  • McClernon, K., Ries, D., Goode, K., Shand, L., & Shand, L. (2023). A model validation approach for echo state networks applied to spatio-temporal climate data [Conference Presenation]. https://doi.org/10.2172/2430646 Publication ID: 126220
  • Shand, L., Li, J.D., Campos, M., Huerta, J.G., McCombs, A.L., & McCombs, A.L. (2023). Data Fusion with Uncertainty Quantification for Observational Data [Conference Presenation]. https://doi.org/10.2172/2431013 Publication ID: 127500
  • Goode, K., Ries, D., McClernon, K., Shand, L., & Shand, L. (2023). Feature Importance with Deep Echo State Models [Conference Presenation]. https://doi.org/10.2172/2430888 Publication ID: 127048
  • McCombs, A.L., Li, J.D., Shand, L., Huerta, J.G., Campos, M., & Campos, M. (2023). Data Fusion of Temperature Datasets Using INLA. https://www.osti.gov/biblio/2430854 Publication ID: 126932
  • Campos, M., McCombs, A.L., Li, J.D., Huerta, J.G., Shand, L., & Shand, L. (2023). Final Exam Presentation. https://www.osti.gov/biblio/2430777 Publication ID: 126652
  • Shand, L., Huerta, J.G., Garrett, R.C., & Garrett, R.C. (2023). A Multivariate Space-Time Dynamic Modelfor characterizing downstream impacts of the 1991 Mt Pinatubo volcanic eruption [Conference Presenation]. https://doi.org/10.2172/2431366 Publication ID: 128776
  • Garrett, R.C., Shand, L., Huerta, J.G., & Huerta, J.G. (2023). A multivariate space-time dynamic model for characterizing pathways following the Mt. Pinatubo Eruption [Conference Presenation]. https://doi.org/10.2172/2431400 Publication ID: 128900
  • Yarger, D., Tucker, J.D., Shand, L., & Shand, L. (2023). Detecting changepoints in globally-indexed functional time series [Conference Poster]. https://doi.org/10.2172/2431915 Publication ID: 130648
  • Wheeler, L.B., Zeitler, T., Brunell, S.B., Lien, J.M., Wagman, B.M., Potter, K.M., Martinez, C., Roesler, E.L., Shand, L., & Shand, L. (2023). PACI: Performance Assessment for Climate Intervention [Conference Poster]. https://doi.org/10.2172/2431629 Publication ID: 129596
  • Goode, K., Ries, D., McClernon, K., Shand, L., & Shand, L. (2023). Validating climate pathways using feature importance on echo state networks [Conference Poster]. https://doi.org/10.2172/2431810 Publication ID: 130240
  • Patel, L., Shand, L., & Shand, L. (2022). Toward data assimilation of ship-induced aerosol-cloud interactions. Environmental Data Science, 1. https://doi.org/10.1017/eds.2022.21 Publication ID: 123900
  • Bull, D.L., Peterson, K., Tezaur, I.K., Shand, L., Swiler, L.P., & Swiler, L.P. (2022). CLDERA. AGU Fall 2022 [Conference Poster]. https://doi.org/10.2172/2006286 Publication ID: 121856
  • Wagman, B.M., Yarger, D., Chowdhary, K., Shand, L., Salinger, A.G., & Salinger, A.G. (2022). Autotuning E3SMv3 [Conference Presenation]. https://doi.org/10.2172/2005341 Publication ID: 118812
  • Pattyn, C.A., Bachman, W.B., Torchinsky, J., Warburton, P., Schmidt, M.J., Bosler, P.A., Glen, A., Sanchez, A.L., Westlake, K., Bentz, B.Z., Bachman, W.B., Shand, L., Patel, L., Wright, J.B., & Wright, J.B. (2022). Optical Characterization of Atmospheric Aerosols in a Tabletop Chamber [Conference Presenation]. https://doi.org/10.2172/2005340 Publication ID: 118808
  • Shand, L., Huerta, J.G., Garrett, R.C., & Garrett, R.C. (2022). Modeling Spatiotemporal Trends following the Mt. Pinatubo Eruption [Conference Poster]. https://doi.org/10.2172/2004520 Publication ID: 117268
  • Tucker, J.D., Shand, L., Chowdhary, K., & Chowdhary, K. (2022). Multimodal Bayesian Registration of Noisy Functions Using an Elastic Metric [Conference Presenation]. https://doi.org/10.2172/2004168 Publication ID: 115908
  • Shand, L. (2022). Spatial Statistics & Machine Learning [Conference Presenation]. https://doi.org/10.2172/2004087 Publication ID: 115600
  • Shand, L. (2022). A dynamic statistical model for explaining the spread of COVID-19: A New Mexico Case Study [Conference Presenation]. https://doi.org/10.2172/2004029 Publication ID: 115372
  • Peterson, K., Bull, D.L., Tezaur, I.K., Shand, L., Swiler, L.P., & Swiler, L.P. (2022). CLDERA: A Novel Foundational Approach for Attributing Climate Impacts [Conference Presenation]. https://doi.org/10.2172/2003488 Publication ID: 113276
  • Wheeler, L.B., Zeitler, T., Brunell, S.B., Martinez, C., Potter, K.M., Wagman, B.M., Roesler, E.L., Shand, L., Lien, J.M., & Lien, J.M. (2022). PACI: PerformanceAssessmentfor Climate Intervention [Conference Poster]. https://doi.org/10.2172/2003653 Publication ID: 113916
  • Shand, L. (2022). CLDERA CLimate impact: Determining Etiology thRough pAthways [Conference Poster]. https://doi.org/10.2172/2003721 Publication ID: 114176
  • Patel, L., Shand, L., & Shand, L. (2022). Towards data assimilation of ship induced aerosol-cloud interactions [Conference Presenation]. https://doi.org/10.2172/2003178 Publication ID: 112116
  • Goode, K., Ries, D., Tucker, J.D., Shand, L., & Shand, L. (2022). Feature Importance with Deep Echo State Models for Long-Term Climate Forecasting [Conference Poster]. https://doi.org/10.2172/2003183 Publication ID: 112136
  • Shand, L., Bachman, W.B., Roesler, E.L., Lyons, D., Gray, S., & Gray, S. (2022). An Optical Flow Approach to Tracking Ship Track Behavior Using GOES-R Satellite Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, pp. 6272-6282. https://doi.org/10.1109/jstars.2022.3193024 Publication ID: 80910
  • Shand, L. (2021). Integrative data-driven approaches for characterization & prediction of aerosol-cloud processes [Conference Presenation]. https://doi.org/10.2172/1899681 Publication ID: 76630
  • Frederick, J.M., Bull, D.L., Abbott, R.E., Shand, L., & Shand, L. (2021). Guest Lecture at the Naval Postgraduate School: The National Laboratory System & Sandia National Laboratories [Presentation]. https://www.osti.gov/biblio/1894757 Publication ID: 76459
  • Shand, L., Bachman, W.B., Staid, A., Roesler, E.L., Lyons, D., Simonson, K.M., Patel, L., Hickey, J., Gray, S., & Gray, S. (2021). Local limits of detection for anthropogenic aerosol-cloud interactions. https://doi.org/10.2172/1855009 Publication ID: 75923
  • Tucker, J.D., Shand, L., Chowdhary, K., & Chowdhary, K. (2021). Multimodal Bayesian registration of noisy functions using Hamiltonian Monte Carlo. Computational Statistics and Data Analysis (Print), 163. https://doi.org/10.1016/j.csda.2021.107298 Publication ID: 78778
  • Shand, L. (2021). Machine Learned Radiative Transport for Enhanced Resolution Earth System Modeling [Presentation]. https://doi.org/10.2172/1769738 Publication ID: 103168
  • Shand, L. (2021). Opportunities and challenges for openly publishing statistics research for national defense applications [Conference Presenation]. https://doi.org/10.2172/1862181 Publication ID: 77930
  • Corona, E., Kramer, S., Lester, B., Jones, A.R., Sanborn, B., Shand, L., Fietek, C.J., & Fietek, C.J. (2021). Thermal-Mechanical Elastic-Plastic and Ductile Failure Model Calibrations for 304L Stainless Steel Alloy. https://doi.org/10.2172/1769256 Publication ID: 77228
  • Shand, L. (2021). Local Limits of Detection for Anthropogenic Aerosol-Cloud Interactions [Presentation]. https://www.osti.gov/biblio/2002913 Publication ID: 111144
  • Tucker, J.D., Harris, T., Shand, L., Bolin, A.W., & Bolin, A.W. (2021). Elastic Depths for Detecting Shape Anomalies in Functional Data. Technometrics, 63(4), pp. 466-476. https://doi.org/10.1080/00401706.2020.1811156 Publication ID: 99404
  • Staid, A., Bachman, W.B., Shand, L., Roesler, E.L., Lyons, D., & Lyons, D. (2020). Observations of ship-induced cloud tracks and methods for quantifying the duration of track visibility [Conference Poster]. https://doi.org/10.2172/1832732 Publication ID: 71912
  • Patel, L., Shand, L., Tucker, J.D., Huerta, J.G., & Huerta, J.G. (2020). Assessing Extreme Value Analysis to predict rare events from the Global Terrorism Database [Conference Proceeding]. https://www.osti.gov/biblio/1825584 Publication ID: 71177
  • Patel, L., Shand, L., & Shand, L. (2020). Simulating cloud-aerosol interactions made by ship emissions [Conference Proceeding]. https://www.osti.gov/biblio/1824931 Publication ID: 71141
  • Patel, L., Shand, L., & Shand, L. (2020). Stochastic simulation of cloud-aerosol tracks [Conference Poster]. https://www.osti.gov/biblio/2002910 Publication ID: 111132
  • Chowdhary, K., Tucker, J.D., Shand, L., & Shand, L. (2020). Bayesian Function Registration in R1 [Conference Poster]. https://www.osti.gov/biblio/1812166 Publication ID: 74345
  • Patel, L., Huerta, J.G., Shand, L., Miller, W.K., Tucker, J.D., & Tucker, J.D. (2020). Assessing Extreme Value Analysis to predict rare events from the Global Terrorism Database [Conference Poster]. https://www.osti.gov/biblio/1811818 Publication ID: 74294
  • Shand, L., Patel, L., & Patel, L. (2020). Simulating cloud-aerosol interactions made by ship emissions [Conference Poster]. https://www.osti.gov/biblio/1811613 Publication ID: 74253
  • Patel, L., Huerta, J.G., Shand, L., Miller, W.K., Tucker, J.D., & Tucker, J.D. (2020). Assessing Extreme Value Analysis to predict rare events from the Global Terrorism Database [Conference Poster]. https://www.osti.gov/biblio/1783652 Publication ID: 73529
  • Shand, L. (2020). Local limits of detection for anthropogenic aerosol-cloud interactions [Presentation]. https://www.osti.gov/biblio/1762578 Publication ID: 70818
  • Shand, L. (2019). Data-driven inferences for aerosol and marine low-cloud interactions using ship-based databases and open-source satellite imagery [Conference Poster]. https://www.osti.gov/biblio/1643525 Publication ID: 66619
  • Shand, L. (2019). Sandia Overview [Presentation]. https://www.osti.gov/biblio/1646427 Publication ID: 66497
  • Shand, L., Knepper, R., Bolintineanu, D.S., Wilson, L.C., Kittell, D.E., & Kittell, D.E. (2019). Nonstationary Spatial Methods for Microstructure Reconstruction [Conference Poster]. https://www.osti.gov/biblio/1641429 Publication ID: 70175
  • Shand, L. (2019). Data-driven Approach to Cloud-Aerosol Interactions [Presentation]. https://www.osti.gov/biblio/1645367 Publication ID: 68889
  • Tucker, J.D., Harris, T., Li, B., Shand, L., & Shand, L. (2019). Identifying Outliers in Functional Data with Elastic Depth [Presentation]. https://www.osti.gov/biblio/1644855 Publication ID: 67957
  • Shand, L., Staid, A., Roesler, E.L., & Roesler, E.L. (2019). Local limits of detection for anthropogenic aerosol-cloud interactions [Presentation]. https://www.osti.gov/biblio/1593214 Publication ID: 64350
  • Tucker, J.D., Shand, L., & Shand, L. (2018). Identifying Phase and Amplitude Extremes in Functional Data with Elastic Depth [Presentation]. https://www.osti.gov/biblio/1561429 Publication ID: 64099
  • Shand, L. (2018). Spatially varying auto-regressive models for prediction of new HIV diagnoses [Conference Poster]. https://www.osti.gov/biblio/1569194 Publication ID: 63009
  • Tucker, J.D., Lewis, J.R., Shand, L., Lane, J.W., & Lane, J.W. (2018). Bayesian Modeling of Self-Exciting Marked Point Processes with Missing Histories [Conference Poster]. https://www.osti.gov/biblio/1527084 Publication ID: 62604
  • Lewis, J.R., Tucker, J.D., Shand, L., & Shand, L. (2018). Bayesian Modeling of Self-Exciting Marked Point Processes with Missing Histories [Presentation]. https://www.osti.gov/biblio/1499221 Publication ID: 60971
  • Tucker, J.D., Lewis, J.R., Shand, L., Lane, J., & Lane, J. (2018). Bayesian Modeling of Self-Exciting Marked Point Processes with Missing Histories [Conference Poster]. https://www.osti.gov/biblio/1498224 Publication ID: 60863
  • Guo, S., Cooper, M., Shand, L., & Shand, L. (2017). A Statistical Representation of Pyrotechnic Research Igniter Output [Conference Poster]. https://doi.org/10.1063/1.5044973 Publication ID: 58367
  • Guo, S., Cooper, M., Shand, L., & Shand, L. (2017). A Statistical Representation of Pyrotechnic Igniter Output [Conference Poster]. https://doi.org/10.1063/1.5044973 Publication ID: 57444
  • Guo, S., Cooper, M., Shand, L., & Shand, L. (2017). A Statistical Representation of Pyrotechnic Igniter Output [Conference Poster]. https://doi.org/10.1063/1.5044973 Publication ID: 57720
Showing 10 of 65 publications.