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In Situ Climate Modeling for Analyzing Extreme Weather Events

Authors:

Jonathan David Wolfe,

Luke Van Roekel,

James Joseph Benedict,

Nathan UrbanAuthors Info & Claims

ISAV'21: ISAV'21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization

Pages 18 - 23

https://doi.org/10.1145/3490138.3490142

Published: 15 November 2021 Publication History

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Abstract

The study of many extreme weather events requires simulations with high spatiotemporal data that can grow in size quickly. Storing all the raw data from such a large-scale simulation for traditional post hoc analyses is soon going to be prohibitive as the data generation speed is outpacing the data storage capability in supercomputers. In situ analysis has emerged as a solution to this problem; data is analyzed when it is being produced, bypassing the slower disk input/output (I/O). In this work, we develop a new in situ analysis pathway for Energy Exascale Earth System Model (E3SM) and propose an algorithm for analyzing the impacts of sudden stratospheric warmings (SSWs), which can cause extreme cold temperature outbreaks at the surface, resulting in hazardous weather and disrupting many socioeconomic sectors. We detect SSWs and model the surface temperature data distributions in situ and show that post hoc analysis using the distribution models can predict the impact of SSWs in the continental United States.

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Cited By

Tang LDutta SKlein NWang WWolfe JVan Roekel LUrban NBiswas ALawrence E(2024)Julia for HPC: In Situ Data Analysis with Julia for Climate Simulations at Large ScaleJuliaCon Proceedings10.21105/jcon.001346:60(134)Online publication date: Jun-2024
https://doi.org/10.21105/jcon.00134
Wang YSun ZHero A(2022)TensorGraphicalModels: A Julia toolbox for multiway covariance models and ensemble Kalman filterSoftware Impacts10.1016/j.simpa.2022.10030813(100308)Online publication date: Aug-2022
https://doi.org/10.1016/j.simpa.2022.100308

Index Terms

In Situ Climate Modeling for Analyzing Extreme Weather Events

Index terms have been assigned to the content through auto-classification.

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cover image ACM Other conferences

ISAV'21: ISAV'21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization

November 2021

36 pages

ISBN:9781450387156

DOI:10.1145/3490138

Copyright © 2021 ACM.

Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Association for Computing Machinery

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Published: 15 November 2021

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Los Alamos National Laboratory

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ISAV'21

ISAV'21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization

November 15, 2021

MO, St. Louis, USA

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Cited By

Tang LDutta SKlein NWang WWolfe JVan Roekel LUrban NBiswas ALawrence E(2024)Julia for HPC: In Situ Data Analysis with Julia for Climate Simulations at Large ScaleJuliaCon Proceedings10.21105/jcon.001346:60(134)Online publication date: Jun-2024
https://doi.org/10.21105/jcon.00134
Wang YSun ZHero A(2022)TensorGraphicalModels: A Julia toolbox for multiway covariance models and ensemble Kalman filterSoftware Impacts10.1016/j.simpa.2022.10030813(100308)Online publication date: Aug-2022
https://doi.org/10.1016/j.simpa.2022.100308

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