scholarly journals Arctic Sea Level and Surface Circulation Response to the Arctic Oscillation

2018 ◽  
Vol 45 (13) ◽  
pp. 6576-6584 ◽  
Author(s):  
Thomas W. K. Armitage ◽  
Sheldon Bacon ◽  
Ron Kwok
2012 ◽  
Vol 12 (24) ◽  
pp. 11819-11831 ◽  
Author(s):  
D. Cai ◽  
M. Dameris ◽  
H. Garny ◽  
T. Runde

Abstract. In this study the impact of a substantially reduced Arctic sea-ice cover on the lower and middle stratosphere is investigated. For this purpose two simulations with fixed boundary conditions (the so-called time-slice mode) were performed with a Chemistry-Climate Model. A reference time-slice with boundary conditions representing the year 2000 is compared to a second sensitivity simulation in which the boundary conditions are identical apart from the polar sea-ice cover, which is set to represent the years 2089–2099. Three features of Arctic air temperature response have been identified which are discussed in detail. Firstly, tropospheric mean polar temperatures increase up to 7 K during winter. This warming is primarily driven by changes in outgoing long-wave radiation. The tropospheric response (e.g. geopotential height anomaly) is in reasonable agreement with similar studies dealing with Arctic sea-ice decrease and the consequences on the troposphere. Secondly, temperatures decrease significantly in the summer stratosphere caused by a decline in outgoing short-wave radiation, accompanied by a slight increase of ozone mixing ratios. Thirdly, there are short periods of statistical significant temperature anomalies in the winter stratosphere probably driven by modified planetary wave activity, but generally there is no clear stratospheric response. The Arctic Oscillation (AO)-index, which is related to the troposphere–stratosphere coupling favours a more neutral state during winter. The only clear stratospheric response can be shown during November. Significant changes in Arctic temperature, meridional eddy heat fluxes and the Arctic Oscillation (AO)-index are detected. In this study the overall stratospheric response to the prescribed sea-ice anomaly is small compared to the tropospheric changes.


2016 ◽  
Vol 29 (14) ◽  
pp. 5103-5122 ◽  
Author(s):  
Xiao-Yi Yang ◽  
Xiaojun Yuan ◽  
Mingfang Ting

Abstract The recent accelerated Arctic sea ice decline has been proposed as a possible forcing factor for midlatitude circulation changes, which can be projected onto the Arctic Oscillation (AO) and/or North Atlantic Oscillation (NAO) mode. However, the timing and physical mechanisms linking AO responses to the Arctic sea ice forcing are not entirely understood. In this study, the authors suggest a connection between November sea ice extent in the Barents and Kara Seas and the following winter’s atmospheric circulation in terms of the fast sea ice retreat and the subsequent modification of local air–sea heat fluxes. In particular, the dynamical processes that link November sea ice in the Barents and Kara Seas with the development of AO anomalies in February is explored. In response to the lower-tropospheric warming associated with the initial thermal effect of the sea ice loss, the large-scale atmospheric circulation goes through a series of dynamical adjustment processes: The decelerated zonal-mean zonal wind anomalies propagate gradually from the subarctic to midlatitudes in about one month. The equivalent barotropic AO dipole pattern develops in January because of wave–mean flow interaction and firmly establishes itself in February following the weakening and warming of the stratospheric polar vortex. This connection between sea ice loss and the AO mode is robust on time scales ranging from interannual to decadal. Therefore, the recent winter AO weakening and the corresponding midlatitude climate change may be partly associated with the early winter sea ice loss in the Barents and Kara Seas.


2021 ◽  
Vol 9 ◽  
Author(s):  
Zhihai Zheng ◽  
Jin Ban ◽  
Yongsheng Li

The impact of the Arctic Oscillation (AO) on the predictability of mid-high latitude circulation in December is analysed using a full set of hindcasts generated form the Beijing Climate Center Atmospheric General Circulation Model version 2.2 (BCC_AGCM2.2). The results showed that there is a relationship between the predictability of the model on the Eurasian mid-high latitude circulation and the phase of AO, with the highest predictability in the negative AO phase and the lowest predictability in the normal AO phase. Moreover, the difference of predictability exists at different lead times. The potential sources of the high predictability in the negative AO phase in the BCC_AGCM2.2 model were further diagnosed. It was found that the differences of predictability on the Eurasian mid-high latitude circulation also exist in different Arctic sea ice anomalies, and the model performs well in reproducing the response of Arctic sea ice on the AO. The predictability is higher when sudden stratospheric warming (SSW) events occur, and strong SSW events tend to form a negative AO phase distribution in the Eurasian mid-high latitudes both in the observation and model. In addition, the model captured the blocking over the mid-high latitudes well, it may be related to the relatively long duration of the blocking. Changes in the AO will affect the blocking circulations over the mid-high latitudes, which partly explains the high predictability of the model in negative AO phases from the aspect of the internal atmospheric dynamics.


Author(s):  
E. E. Lemeshko ◽  
E. М. Lemeshko ◽  
V. P. Novitskaya ◽  
◽  
◽  
...  

The article studies the influence of wind forcing associated with the Arctic Oscillation on the water circulation regimes in the sector of the World Ocean (65–81.5 N, 0–70 E), which consolidates the North, Norwegian and Barents Seas. The study aims at establishing quantitative patterns of variability of the ocean level and surface geostrophic current velocities depending on the value of the Arctic Oscillation index. In general, the response of the sea level averaged over the ocean sector under consideration is in an antiphase with this index. However, there are periods of mismatch between antiphase fluctuations of the sea level and the Arctic Oscillation index. After 2009, an increase in the amplitude and a decrease in the duration of the phases of the Arctic Oscillation index are noted. The difference between the areas of positive and negative values of sea level anomalies creates a pressure gradient that causes surface geostrophic currents carrying Atlantic waters along the shelf edge eastward in a cyclonic regime (the Arctic Oscillation index is greater than 0) and westward in an anticyclonic regime (the index is less than 0). The article provides estimates of the linear regression coefficients: for the sea level they are ~ 2 cm in the shelf zone and about minus 1 cm in the deep-water part of the sector. Thus, the level difference between the shelf and the deeper part of the considered water area is ~ 3 cm per 1 unit of the Arctic Oscillation index. Estimates of the linear regression coefficients for anomalies of the geostrophic currents velocity were ~ 0.5 cm/s per 1 unit of the index. Analysis of the longterm variability of the steric component of the ocean level showed a better relationship with the interannual variability of the Arctic Oscillation index as compared to the ocean level.


2013 ◽  
Vol 54 (62) ◽  
pp. 196-204 ◽  
Author(s):  
J.L. Foster ◽  
J. Cohen ◽  
D.A. Robinson ◽  
T.W. Estilow

AbstractSpring snow cover across Arctic lands has, on average, retreated ∼5 days earlier since the late 1980s compared to the previous 20 years. However, it appears that since about the late 1980s the date the snowline first retreats north during the spring has changed only slightly: in the last ∼20 years snow has not been disappearing significantly earlier. Snowmelt changes observed since the late 1980s have been step-like, unlike the more continuous downward trend seen in Arctic sea-ice extent. At 70° N, several longitudinal segments (of 10°) show significant (negative) trends, while only two longitudinal segments at 60° N show significant trends, one positive and one negative. These variations appear to be related to variations in the Arctic Oscillation (AO). When the springtime AO is strongly positive, snow melts earlier. When it is strongly negative, snow disappears later in the spring. The winter AO is less straightforward. At higher latitudes (70° N), a positive AO during the winter months is correlated with later snowmelt, but at lower latitudes (50° N and 60° N) a positive wintertime AO is correlated with earlier snowmelt. If the AO during the winter months is negative, the reverse is true. Similar stepwise changes (since the late 1980s) have been noted in sea surface temperatures and in phytoplankton abundance as well as in snow cover.


2012 ◽  
Vol 5 (12) ◽  
pp. 897-900 ◽  
Author(s):  
Dennis A. Darby ◽  
Joseph D. Ortiz ◽  
Chester E. Grosch ◽  
Steven P. Lund

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