Accelerating Simulations of Tropical Cyclone Rapid Intensification Using Adaptive Mesh Refinement.
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| Title: | Accelerating Simulations of Tropical Cyclone Rapid Intensification Using Adaptive Mesh Refinement. |
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| Authors: | Tissaoui, Yassine1 (AUTHOR) tissaoui@wisc.edu, Guimond, Stephen R.2 (AUTHOR), Giraldo, Francis X.3 (AUTHOR), Marras, Simone4 (AUTHOR) |
| Source: | Journal of the Atmospheric Sciences. Dec2025, Vol. 82 Issue 12, p2711-2736. 26p. |
| Subjects: | Tropical cyclones, Spectral element method, Computer simulation, Numerical analysis, Computational fluid dynamics, Mathematical optimization, Simulation methods & models |
| Abstract: | Tropical cyclones (TCs) are powerful, natural phenomena that can severely impact populations and infrastructure. Enhancing our understanding of the mechanisms driving their intensification is crucial for mitigating these impacts. To this end, researchers are pushing the boundaries of TC simulation resolution down to scales of just a few meters. However, high-resolution simulations come with significant computational challenges, increasing both time and energy costs. Adaptive mesh refinement (AMR) is a technique widely used in computational fluid dynamics but has seen limited application in atmospheric simulations. This study explores the use of h-adaptive spectral elements to accelerate simulations of TC rapid intensification while allowing very high resolutions in certain parts of the domain. By applying AMR to a rapidly intensifying TC test case, we demonstrate that AMR can replicate the results of uniform grid simulations in terms of mean and local wind speed maxima while dramatically reducing computational costs. We show that AMR can speed up dry simulations of rapidly intensifying TCs forced by heating observations by a factor of 2–13 for the set of tested refinement criteria. Additionally, we show that TC intensity changes as resolution is increased and that AMR can deliver high-resolution simulations at the cost of coarser static simulations. Our findings indicate that AMR and spectral element methods are promising tools for enhancing TC simulations. Significance Statement: Each year, tropical cyclones are among the most deadly and costliest of all natural disasters. These storms intensify through the consolidation of the energy released inside thunderstorms, which contain a hierarchy of small spatial scales. To simulate the intensification process accurately with mathematical models, it is necessary to account for all these small spatial scales, which can be difficult even on modern computing systems. In this work, we present a numerical algorithm called adaptive mesh refinement (AMR) that can alleviate some of this computational burden while still capturing the essence of the thunderstorms. The AMR algorithm shown here produces faster simulations by up to a factor of 10, which will significantly enhance the ability to capture tropical cyclone (TC) intensification. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of the Atmospheric Sciences is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 190575916 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Accelerating Simulations of Tropical Cyclone Rapid Intensification Using Adaptive Mesh Refinement. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Tissaoui%2C+Yassine%22">Tissaoui, Yassine</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> tissaoui@wisc.edu</i><br /><searchLink fieldCode="AR" term="%22Guimond%2C+Stephen+R%2E%22">Guimond, Stephen R.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Giraldo%2C+Francis+X%2E%22">Giraldo, Francis X.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Marras%2C+Simone%22">Marras, Simone</searchLink><relatesTo>4</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Atmospheric+Sciences%22">Journal of the Atmospheric Sciences</searchLink>. Dec2025, Vol. 82 Issue 12, p2711-2736. 26p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Tropical+cyclones%22">Tropical cyclones</searchLink><br /><searchLink fieldCode="DE" term="%22Spectral+element+method%22">Spectral element method</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+analysis%22">Numerical analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+fluid+dynamics%22">Computational fluid dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Tropical cyclones (TCs) are powerful, natural phenomena that can severely impact populations and infrastructure. Enhancing our understanding of the mechanisms driving their intensification is crucial for mitigating these impacts. To this end, researchers are pushing the boundaries of TC simulation resolution down to scales of just a few meters. However, high-resolution simulations come with significant computational challenges, increasing both time and energy costs. Adaptive mesh refinement (AMR) is a technique widely used in computational fluid dynamics but has seen limited application in atmospheric simulations. This study explores the use of h-adaptive spectral elements to accelerate simulations of TC rapid intensification while allowing very high resolutions in certain parts of the domain. By applying AMR to a rapidly intensifying TC test case, we demonstrate that AMR can replicate the results of uniform grid simulations in terms of mean and local wind speed maxima while dramatically reducing computational costs. We show that AMR can speed up dry simulations of rapidly intensifying TCs forced by heating observations by a factor of 2–13 for the set of tested refinement criteria. Additionally, we show that TC intensity changes as resolution is increased and that AMR can deliver high-resolution simulations at the cost of coarser static simulations. Our findings indicate that AMR and spectral element methods are promising tools for enhancing TC simulations. Significance Statement: Each year, tropical cyclones are among the most deadly and costliest of all natural disasters. These storms intensify through the consolidation of the energy released inside thunderstorms, which contain a hierarchy of small spatial scales. To simulate the intensification process accurately with mathematical models, it is necessary to account for all these small spatial scales, which can be difficult even on modern computing systems. In this work, we present a numerical algorithm called adaptive mesh refinement (AMR) that can alleviate some of this computational burden while still capturing the essence of the thunderstorms. The AMR algorithm shown here produces faster simulations by up to a factor of 10, which will significantly enhance the ability to capture tropical cyclone (TC) intensification. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of the Atmospheric Sciences is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1175/JAS-D-24-0242.1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 2711 Subjects: – SubjectFull: Tropical cyclones Type: general – SubjectFull: Spectral element method Type: general – SubjectFull: Computer simulation Type: general – SubjectFull: Numerical analysis Type: general – SubjectFull: Computational fluid dynamics Type: general – SubjectFull: Mathematical optimization Type: general – SubjectFull: Simulation methods & models Type: general Titles: – TitleFull: Accelerating Simulations of Tropical Cyclone Rapid Intensification Using Adaptive Mesh Refinement. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tissaoui, Yassine – PersonEntity: Name: NameFull: Guimond, Stephen R. – PersonEntity: Name: NameFull: Giraldo, Francis X. – PersonEntity: Name: NameFull: Marras, Simone IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00224928 Numbering: – Type: volume Value: 82 – Type: issue Value: 12 Titles: – TitleFull: Journal of the Atmospheric Sciences Type: main |
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