2012
DOI: 10.1029/2011jd016750
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Zonal‐mean global teleconnection from 15 to 110 km derived from SABER and WACCM

Abstract: [1] We derive the correlation patterns over the global latitudes and from the stratosphere to lower thermosphere (broadly referred to as teleconnection) using temperature data measured by the Sounding of the Atmosphere using Broadband Emission Radiometry (SABER) from 2002 to 2010, and using 54 years of simulations of temperatures and winds by the Whole Atmosphere Community Climate Model (WACCM). We also analyze the possible mechanisms of teleconnection by investigating the correlations between the temperature … Show more

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Cited by 32 publications
(56 citation statements)
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References 28 publications
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“…It increases by ∼ 30 and ∼ 50 m s −1 in the mesopause region in the weak and strong SSW events, respectively. Generally, the SSW features in our simulations (e.g., the increasing temperature and decreasing westerly in the winter stratospheric high-latitude region) agree with previous reports (Funke et al, 2010;Yamashita et al, 2010;Tan et al, 2012). Figure 5a shows the wave-number-period spectrum of the meridional wind during days 25-30 of case 1.…”
Section: Zonal Mean Background Conditionsupporting
confidence: 79%
See 1 more Smart Citation
“…It increases by ∼ 30 and ∼ 50 m s −1 in the mesopause region in the weak and strong SSW events, respectively. Generally, the SSW features in our simulations (e.g., the increasing temperature and decreasing westerly in the winter stratospheric high-latitude region) agree with previous reports (Funke et al, 2010;Yamashita et al, 2010;Tan et al, 2012). Figure 5a shows the wave-number-period spectrum of the meridional wind during days 25-30 of case 1.…”
Section: Zonal Mean Background Conditionsupporting
confidence: 79%
“…Rapid growth of QSPWs and their forcing is believed to be the main driver of the sudden stratospheric warming (SSW) at high latitudes in the winter hemisphere (Matsuno, 1971), which causes inter-hemispheric connections at different altitudes (e.g., Karlsson et al, 2007Karlsson et al, , 2009Tan et al, 2012). The wave-mean flow interactions could decelerate or even reverse the eastward winter stratospheric jet, which, in return, prevents the further growth of the QSPW.…”
Section: Introductionmentioning
confidence: 99%
“…Liu and Roble 2002;Tan et al 2012;Yiğit and Medvedev 2012;Yuan et al 2012;Miyoshi et al 2015). The SSW impact can also extend into the summer mesosphere and mesopause region, as evidenced in observations and numerical simulations, through inter-hemispheric coupling (Becker and Fritts 2006;Karlsson et al 2007Karlsson et al , 2009aKörnich and Becker 2010;Tan et al 2012;Miyoshi et al 2015). Numerical simulations by Liu et al (2013Liu et al ( , 2014a and Miyoshi et al (2015) suggest that the SSW impact may extend into the upper thermosphere, though observations of thermospheric responses to SSW are less conclusive (Liu et al 2011;Fuller-Rowell et al 2011).…”
Section: Introductionmentioning
confidence: 99%
“…The slowdown and reversal of winter stratospheric wind changes the gravity wave (GW) propagation condition, which in turn changes the circulation in the upper atmosphere (e.g. Liu and Roble 2002;Tan et al 2012;Yiğit and Medvedev 2012;Yuan et al 2012;Miyoshi et al 2015). The SSW impact can also extend into the summer mesosphere and mesopause region, as evidenced in observations and numerical simulations, through inter-hemispheric coupling (Becker and Fritts 2006;Karlsson et al 2007Karlsson et al , 2009aKörnich and Becker 2010;Tan et al 2012;Miyoshi et al 2015).…”
Section: Introductionmentioning
confidence: 99%
“…The pattern was then found in observational data (e.g. Karlsson et al, 2007;Gumbel and Karlsson, 2011;Espy et al, 2011;De Wit et al, 2016), in the Whole Atmosphere Community Climate Model (WACCM; Sassi et al, 2004;Tan et al, 2012), in the Canadian Middle Atmosphere Model (CMAM; Karlsson et al 2009), and in the highaltitude analysis from the Navy Operational Global Atmospheric Prediction System -Advanced Level Physics High Altitude (NOGAPS-ALPHA) forecast/assimilating system (Siskind et al, 2011).…”
Section: Introductionmentioning
confidence: 99%