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Geophysical Research Letters
Article . 2014 . Peer-reviewed
License: Wiley Online Library User Agreement
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Cyclone‐cyclone interactions through the ocean pathway

Authors: Karthik Balaguru; Sourav Taraphdar; L. Ruby Leung; Gregory R. Foltz; John A. Knaff;

Cyclone‐cyclone interactions through the ocean pathway

Abstract

AbstractThe intense sea surface temperature cooling caused by tropical cyclone‐induced mixing lasts several weeks and may thus influence a later cyclone passing over it. Using a 28 year analysis spanning the North Atlantic, eastern Pacific, and Northwest Pacific, we systematically demonstrate that, on average, when tropical cyclones encounter lingering wakes, they experience sea surface temperatures that are ∼0.25–0.5°C colder. Consequently, the intensification rates are lower for cyclones when they interact with wakes, consistent with the maximum potential intensity theory. The probability for cyclones to encounter lingering wakes varies positively with cyclone frequency, is ∼10% on average, and has been as high as 27%–37% in the past. These large interaction probabilities reduce the mean intensification rates for cyclones by 3%–6% on average and by ∼12%–15% during the most active years. “Cyclone‐cyclone interactions” may therefore represent a mechanism through which tropical cyclones self‐regulate their activity to an extent on intraseasonal time scales.

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
37
Top 10%
Top 10%
Top 10%
gold