scholarly journals Learning from the past: Impact of the Arctic Oscillation on sea ice and marine productivity off northwest Greenland over the last 9,000 years

2020 ◽  
Vol 26 (12) ◽  
pp. 6767-6786 ◽  
Author(s):  
Audrey Limoges ◽  
Kaarina Weckström ◽  
Sofia Ribeiro ◽  
Eleanor Georgiadis ◽  
Katrine E. Hansen ◽  
...  
Keyword(s):  
Sea Ice ◽  
Arctic Oscillation ◽  
The Arctic ◽  
The Past ◽  
Marine Productivity ◽  
The Arctic Oscillation

scholarly journals Coastal Erosion Variability at the Southern Laptev Sea Linked to Winter Sea Ice and the Arctic Oscillation

2020 ◽  
Vol 47 (5) ◽  
Author(s):  
David Marcolino Nielsen ◽  
Mikhail Dobrynin ◽  
Johanna Baehr ◽  
Sergey Razumov ◽  
Mikhail Grigoriev
Keyword(s):  
Sea Ice ◽  
Coastal Erosion ◽  
Arctic Oscillation ◽  
The Arctic ◽  
Laptev Sea ◽  
The Arctic Oscillation

scholarly journals Effects of Temperature Variability and Warming on the Timing of Snowmelt Events in Southern Finland during the Past 100 Years

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Masoud Irannezhad
Keyword(s):  
Arctic Oscillation ◽  
Daily Precipitation ◽  
Meteorological Station ◽  
The Arctic ◽  
Temperature Index ◽  
The Past ◽  
Hydrological Variable ◽  
Effects Of Temperature ◽  
The Arctic Oscillation

This study analyses the first and last days of snowmelt events and the number of days (duration) between those throughout a water year (September-August). The snowmelt duration (SD) as well as its first (SFD) and last (SLD) days were estimated using daily precipitation and temperature measurements at the Kaisaniemi meteorological station in southern Finland during 1909-2008 as input datasets to a temperature-index snowmelt model. As snowmelt is a sensitive hydrological variable to temperature, this study also evaluated historical variations and trends in November-May (SDt), November-January (SFDt), and March-May (SLDt) temperatures corresponding to SD, SFD, and SLD at Kaisaniemi. The trends in all these parameters as well as their correlations with the well-known climate teleconnections over Finland were investigated. Long-term average values indicated the longest SD was about 131 days between 15 December and 25 April at Kaisaniemi. The SD significantly (p<0.05) shortened by 0.37 (days/year) at Kaisaniemi during 1909-2008 mainly due to the earlier (0.32 days/year) SLD. Such trends in SD and SLD were principally associated with century-long significant warming trends (0.02 °C/year) in both SDt and SLDt. The Arctic Oscillation (AO) was the most influential climate teleconnection for historical variations in SD, SLD, SDt, SFDt, and SLDt at Kaisaniemi.

Response of Sea Ice to the Arctic Oscillation

2002 ◽  
Vol 15 (18) ◽  
pp. 2648-2663 ◽  
Author(s):  
Ignatius G. Rigor ◽  
John M. Wallace ◽  
Roger L. Colony
Keyword(s):  
Sea Ice ◽  
Arctic Oscillation ◽  
The Arctic ◽  
The Arctic Oscillation

scholarly journals Implications of all season Arctic sea-ice anomalies on the stratosphere

2012 ◽  
Vol 12 (24) ◽  
pp. 11819-11831 ◽  
Author(s):  
D. Cai ◽  
M. Dameris ◽  
H. Garny ◽  
T. Runde
Keyword(s):  
Sea Ice ◽  
Boundary Conditions ◽  
Arctic Oscillation ◽  
Ice Cover ◽  
Arctic Sea Ice ◽  
The Arctic ◽  
Time Slice ◽  
Wave Radiation ◽  
Arctic Sea ◽  
The Arctic Oscillation

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.

scholarly journals Dynamical Link between the Barents–Kara Sea Ice and the Arctic Oscillation

2016 ◽  
Vol 29 (14) ◽  
pp. 5103-5122 ◽  
Author(s):  
Xiao-Yi Yang ◽  
Xiaojun Yuan ◽  
Mingfang Ting
Keyword(s):  
Sea Ice ◽  
Atmospheric Circulation ◽  
Arctic Oscillation ◽  
Arctic Sea Ice ◽  
The Arctic ◽  
Mean Flow ◽  
Stratospheric Polar Vortex ◽  
Arctic Sea ◽  
Barents And Kara Seas ◽  
The Arctic Oscillation

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.

scholarly journals The Effect of the Arctic Oscillation on the Predictability of Mid-High Latitude Circulation in December

2021 ◽  
Vol 9 ◽  
Author(s):  
Zhihai Zheng ◽  
Jin Ban ◽  
Yongsheng Li
Keyword(s):  
Sea Ice ◽  
High Latitude ◽  
Arctic Oscillation ◽  
Arctic Sea Ice ◽  
The Arctic ◽  
High Latitudes ◽  
Arctic Sea ◽  
High Predictability ◽  
The Arctic Oscillation ◽  
The Impact

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.

scholarly journals Sea ice response to an extreme negative phase of the Arctic Oscillation during winter 2009/2010

2011 ◽  
Vol 38 (2) ◽  
pp. n/a-n/a ◽  
Author(s):  
Julienne C. Stroeve ◽  
James Maslanik ◽  
Mark C. Serreze ◽  
Ignatius Rigor ◽  
Walter Meier ◽  
...  
Keyword(s):  
Sea Ice ◽  
Arctic Oscillation ◽  
The Arctic ◽  
Negative Phase ◽  
The Arctic Oscillation
Sign in / Sign up

Export Citation Format

Share Document