2019
DOI: 10.1029/2019gl084204
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Radiative Control of the Interannual Variability of Arctic Sea Ice

Abstract: On top of a declining trend driven by global warming, the Arctic sea ice extent (SIE) exhibits considerable interannual variations. In this study, we analyze the interannual anomalies of September SIE in relation to the surface radiation anomalies. We find that the accumulation of radiation energy in the early months (June, July, and August) very well explains the September SIE variability (R2 = 0.81). In Particular, strong correlations are found between September SIE and June radiation anomalies, which in the… Show more

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Cited by 21 publications
(10 citation statements)
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“…All regions except the East Siberian and Chukchi seas show statistically significant trends at the 90% confidence level found to have a strong impact on the summer sea ice state (Schröder et al 2014). Additionally, anomalous radiative forcing in June has been associated with September sea ice extent anomalies (Huang et al 2019). The radiative anomalies are likely partially due to the June North Atlantic Oscillation (NAO) index which, in its negative phase, results in anomalous high pressure over the pole and has been identified as a possible forcing mechanism for September sea ice melt (Ding et al 2019;Li et al 2015;Wernli & Papritz, 2018).…”
Section: Introductionmentioning
confidence: 90%
“…All regions except the East Siberian and Chukchi seas show statistically significant trends at the 90% confidence level found to have a strong impact on the summer sea ice state (Schröder et al 2014). Additionally, anomalous radiative forcing in June has been associated with September sea ice extent anomalies (Huang et al 2019). The radiative anomalies are likely partially due to the June North Atlantic Oscillation (NAO) index which, in its negative phase, results in anomalous high pressure over the pole and has been identified as a possible forcing mechanism for September sea ice melt (Ding et al 2019;Li et al 2015;Wernli & Papritz, 2018).…”
Section: Introductionmentioning
confidence: 90%
“…(2015) used the DLR spectra to measure CO 2 radiative forcing at the Southern Great Plains (SGP) and the North Slope Alaska sites; Huang et al. (2019), Kapsch et al. (2016), Shupe and Intrieri (2004), Sokolowsky et al.…”
Section: Introductionmentioning
confidence: 99%
“…Based on the radiative kernel technique (Shell et al., 2008; Soden et al., 2008), Huang et al. (2019) suggest a strong correlation between cloud radiative effects at the surface in June and Arctic sea ice concentration in September.…”
Section: Introductionmentioning
confidence: 99%