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Publication	Type	Year
Feature Pathway Detection using Random Forest Regressor Feature Importances American Geophysical Union 2022 Matthew Gregor Peterson, Irina Kalashnikova Tezaur, Jeffrey Nichol	Abstract – 2022 Abstract	2022
Machine Learning Classification for Rapid CAD-to-Simulation International Meshing Roundtable Steven J. Owen, Corey Devan Ernst, Armida J. Carbajal, Matthew Gregor Peterson	Conference Presentation – 2022 Conference Presentation	2022
Machine Learning Classification for Rapid CAD-to-Simulation SIAM International Meshing Roundtable Steven J. Owen, Armida J. Carbajal, Corey Devan Ernst, Matthew Gregor Peterson, Timothy Malcolm Shead	Conference Paper – 2022 Conference Paper	2022
Casual Evaluations for Identifying Differences between Observations and Earth System Models Jeffrey Nichol, Matthew Gregor Peterson, Kara J. Peterson https://www.osti.gov/search/identifier:1820528	Report – 2021 Report	2021
Causal Analysis for Climate Science Chesapeake Large-Scale Analytics Conference Jeffrey Nichol, Matthew Gregor Peterson	Abstract – 2021 Abstract	2021
Infrasound Phase Arrival Uncertainty and Seismoacoustic Event Location Comparison The 181st Meeting of the Acoustical Society of America Clinton Koch, Fransiska Kate Dannemann Dugick, Elizabeth Mary Berg, Sarah Albert, Raquel Guzman, Matthew Gregor Peterson	Abstract – 2021 Abstract	2021
Learning Why: Data-Driven Causal Evaluations of Climate Models ICML 2021 Workshop Tackling Climate Change with Machine Learning Jeffrey Nichol, Matthew Gregor Peterson, Kara J. Peterson	Conference Poster – 2021 Conference Poster	2021
Learning Why: Data-Driven Causal Evaluations of Climate Models ICML 2021 Workshop Tackling Climate Change with Machine Learning Jeffrey Nichol, Matthew Gregor Peterson, Matthew Fricke	Conference Proceeding – 2021 Conference Proceeding	2021
Machine learning feature analysis illuminates disparity between E3SM climate models and observed climate change Arctic Climate Machine learning Energy Exascale Earth System Model Jeffrey Nichol, Matthew Gregor Peterson, Kara J. Peterson, Matthew Fricke, Melanie Moses https://www.osti.gov/search/identifier:1784860	Journal Article – 2021 Journal Article	2021
Generating Uncertainty Distributions for Seismic Signal Onset Times Bulletin of the Seismological Society of America Matthew Gregor Peterson, David John Stracuzzi, Christopher J. Young, Charles Vollmer, Ronald Brogan https://www.osti.gov/search/identifier:1781564	Journal Article – 2021 Journal Article	2021
Machine Learning Feature Analysis Illuminates Disparity Between E3SM Climate Models and Observed Climate Change Journal of Computational and Applied Mathematics Jeffrey Nichol, Matthew Gregor Peterson, Kara J. Peterson, Matthew Fricke, Melanie Moses https://www.osti.gov/search/identifier:1782577	Journal Article – 2021 Journal Article	2021
Measuring and Extracting Activity from Time Series Data David John Stracuzzi, Matthew Gregor Peterson, Gabriel ANUOLUWAPO Popoola https://www.osti.gov/search/identifier:1673451	SAND Report – 2020 SAND Report	2020
Arctic Tipping Points Triggering Global Change LDRD Final Report Kara J. Peterson, Amy Jo Powell, Irina Kalashnikova Tezaur, Erika Louise Roesler, Jeffrey Nichol, Matthew Gregor Peterson, Warren Leon Davis, John Davis Jakeman, David John Stracuzzi, Diana L Bull https://www.osti.gov/search/identifier:1669210	SAND Report – 2020 SAND Report	2020
Machine Learning to Compare Arctic Simulations With Observed Data European Seminar on Computing 2020 Jeffrey Nichol, Matthew Gregor Peterson, Kara J. Peterson, David John Stracuzzi, Matthew Fricke https://www.osti.gov/search/identifier:1807391	Conference Paper – 2020 Conference Paper	2020
Comparing Simulated and Observed Data with Random Forest Feature Importance Conference on Data Analysis Jeffrey Nichol, Matthew Gregor Peterson, Kara J. Peterson, David John Stracuzzi https://www.osti.gov/search/identifier:1766757	Conference Paper – 2020 Conference Paper	2020
Using Anomaly Detection for Activity Identification CoDA 2020 Gabriel ANUOLUWAPO Popoola, Matthew Gregor Peterson, David John Stracuzzi	Conference Paper – 2020 Conference Paper	2020
Machine Learning to Compare Arctic Simulations with Observed Data European Seminar on Computing 2020 Jeffrey Nichol, Matthew Gregor Peterson, Warren Leon Davis, Kara J. Peterson, David John Stracuzzi	Abstract – 2020 Abstract	2020
Using Anomaly Detection for Activity Identification CoDA 2020 Gabriel ANUOLUWAPO Popoola, David John Stracuzzi, Matthew Gregor Peterson	Abstract – 2020 Abstract	2020
Using Machine Learning to Compare Simulated and Observed Arctic Climate Data Conference on Data Analysis Jeffrey Nichol, Matthew Gregor Peterson, David John Stracuzzi, Kara J. Peterson	Abstract – 2020 Abstract	2020
Feature Comparison Of Arctic Observations And Climate Models American Geophysical Union Jeffrey Nichol, Matthew Gregor Peterson, Kara J. Peterson, David John Stracuzzi, Matthew Fricke, Melanie Moses https://www.osti.gov/search/identifier:1643593	Conference Paper – 2019 Conference Paper	2019
Predicting Minimum Arctic Sea Ice Extent Machine Learning R&D Colloquium Matthew Gregor Peterson, Jeffrey Nichol, David John Stracuzzi, Kara J. Peterson https://www.osti.gov/search/identifier:1641909	Conference Paper – 2019 Conference Paper	2019
Using Machine Learning to Compare Simulated and Observational Sea Ice Extent Data American Geophysical Union 2019 Jeffrey Nichol, Matthew Gregor Peterson, Kara J. Peterson, David John Stracuzzi	Abstract – 2019 Abstract	2019
Predicting Arctic Sea Ice Concentration with Data-Driven Models International Conference on Industrial and Applied Mathematics Matthew Gregor Peterson, Jeffrey Nichol, Kara J. Peterson, David John Stracuzzi https://www.osti.gov/search/identifier:1641185	Conference Paper – 2019 Conference Paper	2019
Predicting Arctic Sea Ice Concentration with Data-Driven Models The International Council for Industrial and Applied Mathematics Matthew Gregor Peterson, David John Stracuzzi, Kara J. Peterson	Abstract – 2019 Abstract	2019
Robust Arrival Time Uncertainty Estimation Using Gaussian Blurring Seismological Society of America (SSA) Annual Meeting Matthew Gregor Peterson, Charlie Vollmer, Chris Young, David John Stracuzzi https://www.osti.gov/search/identifier:1639738	Conference Paper – 2019 Conference Paper	2019
Document Title	Type	Year

Results 1–25 of 71

Publications

Feature Pathway Detection using Random Forest Regressor Feature Importances

Machine Learning Classification for Rapid CAD-to-Simulation

Machine Learning Classification for Rapid CAD-to-Simulation

Casual Evaluations for Identifying Differences between Observations and Earth System Models

Causal Analysis for Climate Science

Infrasound Phase Arrival Uncertainty and Seismoacoustic Event Location Comparison

Learning Why: Data-Driven Causal Evaluations of Climate Models

Learning Why: Data-Driven Causal Evaluations of Climate Models

Machine learning feature analysis illuminates disparity between E3SM climate models and observed climate change

Generating Uncertainty Distributions for Seismic Signal Onset Times

Machine Learning Feature Analysis Illuminates Disparity Between E3SM Climate Models and Observed Climate Change

Measuring and Extracting Activity from Time Series Data

Arctic Tipping Points Triggering Global Change LDRD Final Report

Machine Learning to Compare Arctic Simulations With Observed Data

Comparing Simulated and Observed Data with Random Forest Feature Importance

Using Anomaly Detection for Activity Identification

Machine Learning to Compare Arctic Simulations with Observed Data

Using Anomaly Detection for Activity Identification

Using Machine Learning to Compare Simulated and Observed Arctic Climate Data

Feature Comparison Of Arctic Observations And Climate Models

Predicting Minimum Arctic Sea Ice Extent

Using Machine Learning to Compare Simulated and Observational Sea Ice Extent Data

Predicting Arctic Sea Ice Concentration with Data-Driven Models

Predicting Arctic Sea Ice Concentration with Data-Driven Models

Robust Arrival Time Uncertainty Estimation Using Gaussian Blurring