Visualizing Megafires: How AI can be used to drive wildfire simulations with better predictive skill

Scott Pearse; Amy Decastro; Timothy Juliano

doi:10.1145/3569951.3603637

Visualizing Megafires: How AI can be used to drive wildfire simulations with better predictive skill

Scott Pearse, Amy Decastro, Timothy Juliano

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The East Troublesome Wildfire was the fourth largest wildfire to date in Colorado history, igniting on October 14, 2020. Driven by low humidity and high winds, the wildfire spread to over 200,000 acres in nine days, with 87,000 of those acres being burnt in a single 24 hour period. Wildfire simulations and forecasts help decision-makers issue evacuation orders and inform response teams, but these simulations depend on accurate variable inputs to produce trustworthy results. These wildfire visualizations demonstrate new AI tools developed at the National Center for Atmospheric Research (NCAR), which are producing superior wildfire simulation outputs than have been available in the past.

Original language	English
Title of host publication	PEARC 2023 - Computing for the common good
Subtitle of host publication	Practice and Experience in Advanced Research Computing
Publisher	Association for Computing Machinery, Inc
Pages	422-423
Number of pages	2
ISBN (Electronic)	9781450399852
DOIs	https://doi.org/10.1145/3569951.3603637
State	Published - Jul 23 2023
Event	2023 Practice and Experience in Advanced Research Computing, PEARC 2023 - Portland, United States Duration: Jul 23 2023 → Jul 27 2023

Publication series

Name	PEARC 2023 - Computing for the common good: Practice and Experience in Advanced Research Computing

Conference

Conference	2023 Practice and Experience in Advanced Research Computing, PEARC 2023
Country/Territory	United States
City	Portland
Period	07/23/23 → 07/27/23

Access to Document

10.1145/3569951.3603637

Cite this

Pearse, S., Decastro, A., & Juliano, T. (2023). Visualizing Megafires: How AI can be used to drive wildfire simulations with better predictive skill. In PEARC 2023 - Computing for the common good: Practice and Experience in Advanced Research Computing (pp. 422-423). (PEARC 2023 - Computing for the common good: Practice and Experience in Advanced Research Computing). Association for Computing Machinery, Inc. https://doi.org/10.1145/3569951.3603637

Pearse, Scott ; Decastro, Amy ; Juliano, Timothy. / Visualizing Megafires : How AI can be used to drive wildfire simulations with better predictive skill. PEARC 2023 - Computing for the common good: Practice and Experience in Advanced Research Computing. Association for Computing Machinery, Inc, 2023. pp. 422-423 (PEARC 2023 - Computing for the common good: Practice and Experience in Advanced Research Computing).

@inproceedings{46af77a5681d4d469dc8fcd63e1bdaba,

title = "Visualizing Megafires: How AI can be used to drive wildfire simulations with better predictive skill",

abstract = "The East Troublesome Wildfire was the fourth largest wildfire to date in Colorado history, igniting on October 14, 2020. Driven by low humidity and high winds, the wildfire spread to over 200,000 acres in nine days, with 87,000 of those acres being burnt in a single 24 hour period. Wildfire simulations and forecasts help decision-makers issue evacuation orders and inform response teams, but these simulations depend on accurate variable inputs to produce trustworthy results. These wildfire visualizations demonstrate new AI tools developed at the National Center for Atmospheric Research (NCAR), which are producing superior wildfire simulation outputs than have been available in the past.",

author = "Scott Pearse and Amy Decastro and Timothy Juliano",

note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 2023 Practice and Experience in Advanced Research Computing, PEARC 2023 ; Conference date: 23-07-2023 Through 27-07-2023",

year = "2023",

month = jul,

day = "23",

doi = "10.1145/3569951.3603637",

language = "English",

series = "PEARC 2023 - Computing for the common good: Practice and Experience in Advanced Research Computing",

publisher = "Association for Computing Machinery, Inc",

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Pearse, S, Decastro, A & Juliano, T 2023, Visualizing Megafires: How AI can be used to drive wildfire simulations with better predictive skill. in PEARC 2023 - Computing for the common good: Practice and Experience in Advanced Research Computing. PEARC 2023 - Computing for the common good: Practice and Experience in Advanced Research Computing, Association for Computing Machinery, Inc, pp. 422-423, 2023 Practice and Experience in Advanced Research Computing, PEARC 2023, Portland, United States, 07/23/23. https://doi.org/10.1145/3569951.3603637

Visualizing Megafires: How AI can be used to drive wildfire simulations with better predictive skill. / Pearse, Scott; Decastro, Amy; Juliano, Timothy.
PEARC 2023 - Computing for the common good: Practice and Experience in Advanced Research Computing. Association for Computing Machinery, Inc, 2023. p. 422-423 (PEARC 2023 - Computing for the common good: Practice and Experience in Advanced Research Computing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Juliano, Timothy

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Y1 - 2023/7/23

N2 - The East Troublesome Wildfire was the fourth largest wildfire to date in Colorado history, igniting on October 14, 2020. Driven by low humidity and high winds, the wildfire spread to over 200,000 acres in nine days, with 87,000 of those acres being burnt in a single 24 hour period. Wildfire simulations and forecasts help decision-makers issue evacuation orders and inform response teams, but these simulations depend on accurate variable inputs to produce trustworthy results. These wildfire visualizations demonstrate new AI tools developed at the National Center for Atmospheric Research (NCAR), which are producing superior wildfire simulation outputs than have been available in the past.

AB - The East Troublesome Wildfire was the fourth largest wildfire to date in Colorado history, igniting on October 14, 2020. Driven by low humidity and high winds, the wildfire spread to over 200,000 acres in nine days, with 87,000 of those acres being burnt in a single 24 hour period. Wildfire simulations and forecasts help decision-makers issue evacuation orders and inform response teams, but these simulations depend on accurate variable inputs to produce trustworthy results. These wildfire visualizations demonstrate new AI tools developed at the National Center for Atmospheric Research (NCAR), which are producing superior wildfire simulation outputs than have been available in the past.

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M3 - Conference contribution

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T3 - PEARC 2023 - Computing for the common good: Practice and Experience in Advanced Research Computing

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BT - PEARC 2023 - Computing for the common good

PB - Association for Computing Machinery, Inc

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Pearse S, Decastro A, Juliano T. Visualizing Megafires: How AI can be used to drive wildfire simulations with better predictive skill. In PEARC 2023 - Computing for the common good: Practice and Experience in Advanced Research Computing. Association for Computing Machinery, Inc. 2023. p. 422-423. (PEARC 2023 - Computing for the common good: Practice and Experience in Advanced Research Computing). doi: 10.1145/3569951.3603637

Visualizing Megafires: How AI can be used to drive wildfire simulations with better predictive skill

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