2012
DOI: 10.1175/mwr-d-11-00195.1
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Sensitivity of Midlatitude Storm Intensification to Perturbations in the Sea Surface Temperature near the Gulf Stream

Abstract: The Gulf Stream region is a primary location for midlatitude storm cyclogenesis and growth. However, the influence of sea surface temperature (SST) on storms in the region is still under question, particularly after a storm has developed. Using the Weather Research and Forecasting (WRF) model, a storm that intensified as it transited northward across the Gulf Stream is simulated multiple times using different SST boundary conditions. These experiments test the storm response to changes in both the absolute val… Show more

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Cited by 90 publications
(87 citation statements)
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References 52 publications
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“…These results suggest that the SST front over the NWP enhances precipitation near the cyclone center through the large surface LHF from the Kuroshio and its extension. The precipitation enhancement causes the explosive deepening over the NWP in CNTL, consistent with regional model experiments for explosive cyclones due to SST fronts (Booth et al 2012;Iizuka et al 2013;Hirata et al 2015). The precipitation difference between CNTL and SMTHK associated with the explosive deepening also affects the upper troposphere.…”
Section: Composite Analysissupporting
confidence: 79%
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“…These results suggest that the SST front over the NWP enhances precipitation near the cyclone center through the large surface LHF from the Kuroshio and its extension. The precipitation enhancement causes the explosive deepening over the NWP in CNTL, consistent with regional model experiments for explosive cyclones due to SST fronts (Booth et al 2012;Iizuka et al 2013;Hirata et al 2015). The precipitation difference between CNTL and SMTHK associated with the explosive deepening also affects the upper troposphere.…”
Section: Composite Analysissupporting
confidence: 79%
“…The relationship between the storm track and sea surface temperature (SST) fronts associated with western boundary ocean currents, such as the Kuroshio, the Kuroshio Extension, the Oyashio, and the subpolar front in the northwestern Pacific (NWP) as well as the Gulf Stream in the northwestern Atlantic, has been investigated by analyzing observations, reanalysis data, and sensitivity experiments using global and regional atmospheric models in both ideal and realistic situations (Nakamura et al 2004;Minobe et al 2008;Taguchi et al 2009;Sampe et al 2010;Kuwano-Yoshida et al 2010b;Frankignoul et al 2011;Booth et al 2012;Ogawa et al 2012;Taguchi et al 2012;Iizuka et al 2013;KuwanoYoshida et al 2013;Small et al 2014;Smirnov et al 2015;O'Reilly and Czaja 2015;O'Reilly et al 2016;Ma et al 2015;Parfitt et al 2016). Nakamura et al (2004) summarized the relationship among storm tracks, jet streams, and midlatitude oceanic fronts based on observations and reanalyses.…”
Section: Introductionmentioning
confidence: 99%
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“…However, one can also analyze the surface storm tracks based on meridional winds at 10 m. Booth et al (2010) show that the spatial patterns of storm tracks at 10 m differ from the free-tropospheric storm tracks due to the influence of ocean WBCs. Booth et al (2010) used physical arguments proposed by Sweet et al (1981) to suggest that the warm water in WBC creates regions with stronger atmospheric instability during cold air outbreaks associated with extratropical cyclones. The greater instability on the warm side of the WBC increases vertical mixing of momentum in these unstable regions creating stronger surface winds (a so-called momentum-mixing mechanism; see also Wallace et al 1989).…”
Section: Introductionmentioning
confidence: 99%
“…In the North Atlantic, the largest surface heat flux and its strongest interannual variability are found over the Gulf Stream (GS). The variations in the location and strength of the GS modify the cyclogenesis and the North Atlantic storm track (Cione et al 1993;Booth et al 2012;Small et al 2014), potentially influencing the broader-scale atmospheric and climate variability (Minobe et al 2008;O'Reilly et al 2016O'Reilly et al , 2017.…”
Section: Introductionmentioning
confidence: 99%