Tropospheric Precursors and Stratospheric Warmings
By Judah Cohen, Justin Jones. 2011
143 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/863485a2ed9febe36fd77f1c23c3b187a2f4865a
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Citations in the corpus
- Observed connection between stratospheric sudden warmings and the Madden‐Julian Oscillation (2012, methodology): “The SSW dates are taken from Table 1 of Cohen and Jones [2011]. A total of 23 SSW events are included, with the first being on 22-February-1979 and the last on 9-February-2010.”
- Predicting Sudden Stratospheric Warming 2018 and Its Climate Impacts With a Multimodel Ensemble (2018, background): “Blocking anticyclones in these regions were earlier associated with tropospheric forcing of SSWs (Cohen & Jones, 2011; Gar fi nkel et al., 2010; Martius et al., 2009; Woollings et al., 2010).”
- Vortex Preconditioning due to Planetary and Gravity Waves prior to Sudden Stratospheric Warmings (2014, background): “Indeed, many studies are able to find a high correlation between SSWs and various tropospheric phenomena that are favorable for generating wave activity, including tropospheric blocking, ENSO, and storm-track shifts (e.g., Martius et al. 2009; Garfinkel et al. 2010; Cohen and Jones 2011).”
- The predictability of the extratropical stratosphere on monthly time‐scales and its impact on the skill of tropospheric forecasts (2015, background): “(2014) et al., 2009; Cohen and Jones, 2011).”
- Sudden Stratospheric Warmings (2020, background): “This has led researchers to look for tropospheric pre-489 cursor events that potentially give rise to additional planetary wave fluxes entering the stratosphere (e.g. Garfinkel et al., 2010; Cohen & Jones, 2011; Sun et al., 2012).”
- Separating the stratospheric and tropospheric pathways of El Niño–Southern Oscillation teleconnections (2013, background): “Significant anomalies in the SSW composites are then defined for those grid cells exceeding two standard deviations (σ ) of the anomaly distribution at that location.”