2017
DOI: 10.5194/esd-2017-114
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Moisture transport and Antarctic sea ice: Austral spring 2016 event

Abstract: Abstract. In austral spring 2016 the Antarctic region experienced anomalous sea ice retreat in all sectors, with sea ice

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Cited by 4 publications
(6 citation statements)
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“…The strong north‐westerly flow of anomalously warm and moist air into the MR contributed to the observed record low SIC and likely to the formation of the polynya (Figure b). Such anomalous atmospheric circulations have been noticed to have significant impacts on Antarctic sea‐ice loss (Doddridge & Marshall, ; Ionita et al, ; Schlosser et al, ; Turner et al, ), however, are more pronounced on the MR and the MIZ (Figure b) due to its climatological low SIC (Figure S5). The appearance of the polynya and anomalously negative SIC was associated with the SLP pattern similar to a positive phase of SAM (index of 0.42).…”
Section: Resultsmentioning
confidence: 94%
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“…The strong north‐westerly flow of anomalously warm and moist air into the MR contributed to the observed record low SIC and likely to the formation of the polynya (Figure b). Such anomalous atmospheric circulations have been noticed to have significant impacts on Antarctic sea‐ice loss (Doddridge & Marshall, ; Ionita et al, ; Schlosser et al, ; Turner et al, ), however, are more pronounced on the MR and the MIZ (Figure b) due to its climatological low SIC (Figure S5). The appearance of the polynya and anomalously negative SIC was associated with the SLP pattern similar to a positive phase of SAM (index of 0.42).…”
Section: Resultsmentioning
confidence: 94%
“…The past occurrence of polynyas on the MR was attributed to the presence of ocean eddies formed from the interaction between the ocean current and the MR seamount (de Steur et al, ; Holland, ; Ou & Gordon, ). The recent episodic events of record loss in Antarctic sea‐ice during 2016 and 2017 was linked to the anomalous atmospheric circulations (Doddridge & Marshall, ; Ionita et al, ; Schlosser et al, ; Turner et al, ). With support from earlier findings, we suggest that the polynya was formed due to the combined influence of the MR seamount (leads to local upliftment of thermocline), upwelling of warm water into the upper ocean from the thermocline (induced by a large cyclonic eddy and negative wind stress curl), and the large‐scale atmospheric circulation anomalies associated with depressions that advected warm‐moist air from the midlatitudes to the MR region.…”
Section: Discussionmentioning
confidence: 99%
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“…The ZW3 index is computed as the mean of the normalized 500‐hPa geopotential heights at the three ridges that characterize ZW3 (average of grid points from longitudes 45–60°E, 161–171°E, and 71–81°W and latitudes 45–60°S; ; Hobbs & Raphael, ; Raphael, ). The El Niño‐Southern Oscillation. Many studies have demonstrated links between Antarctica and tropical regions (e.g., Clem et al, ; Ding et al, ; Ionita et al, ). Here we use Nino 3.4 sea surface temperature index to represent tropical changes (hereafter El Nino 3.4), defined as sea surface temperature averaged over the region 170–120°W and 5°S–5°N.…”
Section: Data Setsmentioning
confidence: 99%
“…To test the stability of the relationship between the dendroisotope records and climate variables, we make use of stability maps, a methodology successfully used in the seasonal forecast of the European rivers and Antarctic sea ice to examine the stationarity of the long-term relationship between our proxies and the gridded climate data (Ionita et al, 2008(Ionita et al, , 2014(Ionita et al, , 2018. In order to detect stable predictors, the variability of the correlation between the tree-ring parameters and the gridded data is investigated within a 31-year moving window over the 1901-2012 period.…”
Section: Stability Mapsmentioning
confidence: 99%