Understanding the varied response of the extratropical storm tracks to climate change
Open accessAbstract
Transient eddies in the extratropical storm tracks are a primary mechanism for the transport of momentum, energy, and water in the atmosphere, and as such are a major component of the climate system. Changes in the extratropical storm tracks under global warming would impact these transports, the ocean circulation and carbon cycle, and society through changing weather patterns. I show that the southern storm track intensifies in the multimodel mean of simulations of 21st century climate change, and that the seasonal cycle of storm-track intensity increases in amplitude in both hemispheres. I use observations of the present-day seasonal cycle to confirm the relationship between storm-track intensity and the mean available potential energy of the atmosphere, and show how this quantitative relationship can be used to account for much of the varied response in storm-track intensity to global warming, including substantially different responses in simulations with different climate models. The results suggest that storm-track intensity is not related in a simple way to global-mean surface temperature, so that, for example, a stronger southern storm track in response to present-day global warming does not imply it was also stronger in hothouse climates of the past.
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Changes in RHS of Eq. (2) are expected to be relatively small given modest changes in eddy kinetic energy and eddy length.
“The vertical velocity still depends on RHS, but changes in this would be expected to be relatively small given modest changes in eddy kinetic energy [57] and eddy length [40].”
From Precipitation Extremes Under Climate Change (2015) · cites this paper as [57]
Changes in extratropical eddy kinetic energy are relatively modest and can be either positive or negative depending on the season and hemisphere.
“Changes in extratropical eddy kinetic energy are relatively modest and can be either positive or negative depending on the season and hemisphere [57]”
From Precipitation Extremes Under Climate Change (2015) · cites this paper as [57]
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- Authors
- O’Gorman, P. A.
- Affiliations
- Massachusetts Institute of Technology (US)
- Corresponding author
- O’Gorman, Paul A.
- ORCID
- O’Gorman, Paul A.
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2010-10-25
- Volume
- 107
- Issue
- 45
- Pages
- 19176-19180
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC2984218
- OpenAlex
- W2136888834
- Cited by
- 173
- References
- 31
- Citations by year
- 2026: 10 · 2025: 9 · 2024: 13 · 2023: 14 · 2022: 15 · 2021: 11 · 2020: 9 · 2019: 16 · 2018: 15 · 2017: 7 · 2016: 8 · 2015: 6 · 2014: 6 · 2013: 15 · 2012: 10
- FWCI
- 9.76
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Energy
- Office of Science
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
- Keywords
- extratropical storm tracks, climate change, available potential energy, seasonal cycle, transient eddies, atmospheric energy transport, multi-model ensemble, global warming, inter-model variability
- MeSH terms
- Computer Simulation, Seasons, Weather, Cyclonic Storms, Climate Change, Global Warming
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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