Cited by 339Tropical and Extratropical Cyclones ResearchOceanographic and Atmospheric ProcessesMeteorological Phenomena and Simulations

Ocean barrier layers’ effect on tropical cyclone intensification.

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Balaguru, Karthik, Chang, Ping, Saravanan, R., Leung, L. Ruby, Xu, Zhao, Li, Mingkui, Hsieh, Jen-Shan·2012·Proceedings of the National Academy of Sciences

Abstract

Improving a tropical cyclone’s forecast and mitigating its destructive potential requires knowledge of various environmental factors that influence the cyclone’s path and intensity. Herein, using a combination of observations and model simulations, we systematically demonstrate that tropical cyclone intensification is significantly affected by salinity-induced barrier layers, which are “quasi-permanent” features in the upper tropical oceans. When tropical cyclones pass over regions with barrier layers, the increased stratification and stability within the layer reduce storm-induced vertical mixing and sea surface temperature cooling. This causes an increase in enthalpy flux from the ocean to the atmosphere and, consequently, an intensification of tropical cyclones. On average, the tropical cyclone intensification rate is nearly 50% higher over regions with barrier layers, compared to regions without. Our finding, which underscores the importance of observing not only the upper-ocean thermal structure but also the salinity structure in deep tropical barrier layer regions, may be a key to more skillful predictions of tropical cyclone intensities through improved ocean state estimates and simulations of barrier layer processes. As the hydrological cycle responds to global warming, any associated changes in the barrier layer distribution must be considered in projecting future tropical cyclone activity.

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  • The strength of the TC cold-wake feedback depends on a storm's intensity and translation speed as well as the ocean heat content and salinity structure, which vary regionally and on seasonal to multidecadal timescales.

    “The strength of the feedback depends on a storm's intensity and translation speed as well as the ocean heat content and salinity structure, which vary regionally and on seasonal to multidecadal timescales (Shay et al., 2000;Balaguru et al., 2012Balaguru et al., , 2015Balaguru et al., , 2018)).”

    From The tropical atlantic observing system (2019) · cites this paper as Balaguru et al., 2012

    The Conclusions and Discussion (page unavailable) state that salinity-stratified barrier layers reduce cyclone-induced sea-surface cooling and affect intensification; they also mention interannual-to-decadal variability in barrier-layer conditions. The Methods account for storm intensity and translation speed, but the paper does not establish the claimed dependence of feedback strength on those factors or document seasonal-to-multidecadal variation in ocean heat content and salinity structure. (LLM, conf=0.83)

    Experimental — accuracy not yet measured
  • In the northwestern tropical Atlantic, the Amazon-Orinoco plume increases salinity stratification, limiting hurricane-induced SST cooling.

    “This is especially true in the northwestern tropical Atlantic, where the Amazon-Orinoco plume increases salinity stratification, limiting hurricane-induced SST cooling (Figure 5; Balaguru et al., 2012;Grodsky et al., 2012b;Domingues et al., 2015).”

    From The tropical atlantic observing system (2019) · cites this paper as Balaguru et al., 2012

    The Analysis reports that Hurricane Omar encountered barrier layers in the Caribbean and that SST cooling was substantially reduced there. The paper also explains that freshwater input can create salinity-related barrier layers, but our copy does not attribute the observed stratification to the Amazon–Orinoco plume or establish the claim specifically for the northwestern tropical Atlantic. The plume appears in a References entry, not in the paper’s account of this mechanism. (LLM, conf=0.85)

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Research works printed but not linked: 1

  1. Patricola CM, et al. (2012) An investigation of tropical atlantic bias in a high-resolution coupled regional climate model. Clim Dyn, 10.1007/s00382-012-1320-5. · DOI

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Authors
Balaguru, K., Chang, P., Saravanan, R., Leung, L. R., Xu, Z., Li, M., & Hsieh, J.-S.
Affiliations
  • Pacific Northwest National Laboratory (US)
  • Ocean University of China (CN)
  • Texas A&M University (US)
  • Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA 99352;
  • Department of Oceanography, Texas A&M University, College Station, TX 77843;
Venue
Proceedings of the National Academy of Sciences
Published
2012-08-13
Volume
109
Issue
36
Pages
14343-14347
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2054988119
Cited by
339
References
1
Citations by year
2026: 35 · 2025: 32 · 2024: 46 · 2023: 30 · 2022: 30 · 2021: 30 · 2020: 23 · 2019: 24 · 2018: 22 · 2017: 14 · 2016: 11 · 2015: 13 · 2014: 10 · 2013: 17 · 2012: 2
FWCI
9.18
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • OakTrust (Texas A&M University Libraries) (submittedVersion)
Topics
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Tropical and Extratropical Cyclones Research
  • Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
Keywords
tropical cyclone intensification, salinity structure, ocean stratification, vertical mixing, sea surface temperature cooling, enthalpy flux, upper ocean thermal structure, tropical cyclone forecasting
MeSH terms
Computer Simulation, Forecasting, Models, Theoretical, Oceans and Seas, Temperature, Water Movements, Salinity, Cyclonic Storms

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