Publications

21 Results
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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

Global Multivariate Causal Discovery For the Analysis of Emergent Properties in Earth System Models

European Seminar on Computing (ESCO 2022)

Jeffrey Nichol

Conference Presentation – 2022 Conference Presentation 2022

Global Multivariate Causal Discovery for the Analysis of Emergent Properties in Earth System Models

European Seminar on Computing

Jeffrey Nichol

Abstract – 2022 Abstract 2022

PhD Committee Meeting 1

PhD Committee Meeting

Jeffrey Nichol

Presentation (non-conference) – 2021 Presentation (non-conference) 2021

Causal Discovery for Climate Science and the Energy Exascale Earth System Model

Chesapeake Large-Scale Analytics Conference

Jeffrey Nichol

Conference Presentation – 2021 Conference Presentation 2021

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

Causal Inference and Causal Discovery

Verification and validation of machine-learned models used in science and engineering

Jeffrey Nichol

Presentation (non-conference) – 2021 Presentation (non-conference) 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

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

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

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 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
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