Publications & Presentations

Publications

Presentations

Diana Bull, Kara Peterson, Irina Tezaur, Lyndsay Shand, and Laura Swiler. (2022, June 13-16). CLDERA: A novel foundational approach for attributing climate impactsEuropean 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.

Mamikon Gulian, Joey Hart, Indu Manickam, Laura Swiler. (2022, June 13-16). Facilitating atmospheric source inversion via deep operator network surrogates. European Seminar on COmputing (ESCO) 2022, Pilsen, CZ.

Joseph Hart, Mamikon Gulian, Indu Manickam, and Laura Swiler. (2022, July 11-15). Facilitating atmospheric source inversion via deep operator network surrogates. SIAM MPE 2022, Pittsburgh, PA.

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, Santa Fe Institute. Santa Fe, NM.

Justin D. Li. (2022, Dec. 12-16). IN22A-07: Systematic comparison of ground-based and satellite measurements using TOVS and radiosonde data. AGU Fall Meeting 2022. Chicago, IL.

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.

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.

Laura Swiler. (2022, Oct. 10-12). Scientific machine learning needs in climate attribution: An application example. Workshop on Scientific Machine Learning for Inference and Optimization of Complex Systems. Santa Fe Institute. SAND2022-13599 C.  

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.

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 Metereological Society Annual Meeting. Denver, CO.

Posters

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.

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. GC25H-0769. SAND2022-16820.

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, USA. 

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.

Other Materials

CLDERA factsheet