Arctic sea ice cover in connection with climate change

2015 ◽  
Vol 51 (9) ◽  
pp. 889-902 ◽  
Author(s):  
G. V. Alekseev ◽  
E. I. Aleksandrov ◽  
N. I. Glok ◽  
N. E. Ivanov ◽  
V. M. Smolyanitsky ◽  
...  
2020 ◽  
Author(s):  
David Lipson ◽  
Kim Reasor ◽  
Kååre Sikuaq Erickson

<p>The predominantly Inupiat people of Utqiaġvik, Alaska are among those who will be most impacted by<br>climate change and the loss of Arctic sea ice in the near future. Subsistence hunting of marine mammals<br>associated with sea ice is central to the Inupiat way of life. Furthermore, their coastal homes and<br>infrastructure are increasingly subject to damage from increased wave action on ice-free Beaufort and<br>Chukchi Seas. While the people of this region are among the most directly vulnerable to climate change,<br>the subject is not often discussed in the elementary school curriculum. Meanwhile, in many other parts<br>of the world, the impacts of climate change are viewed as abstract and remote. We worked with fifth<br>grade children in Utqiaġvik both to educate them, but also to engage them in helping us communicate<br>to rest of the world, in an emotionally resonant way, the direct impacts of climate change on families in<br>this Arctic region.<br>The team consisted of a scientist (Lipson), an artist (Reasor) and an outreach specialist (Erickson) of<br>Inupiat heritage from a village in Alaska. We worked with four 5th grade classes of about 25 students<br>each at Fred Ipalook Elementary in Utqiaġvik, AK. The scientist gave a short lecture about sea ice and<br>climate change in the Arctic, with emphasis on local impacts to hunting and infrastructure (with<br>interjections from the local outreach specialist). We then showed the students a large poster of<br>historical and projected sea ice decline, and asked the students to help us fill in the white space beneath<br>the lines. The artist led the children in making small art pieces that represent things that are important<br>to their lives in Utqiaġvik (they were encouraged to paint animals, but they were free to do whatever<br>they wanted). We returned to the class later that week and had each student briefly introduce<br>themselves and their painting, and place it to the large graph of sea ice decline, which included the dire<br>predictions of the RCP8.5 scenario. At the end we added the more hopeful RCP2.6 scenario to end on a<br>positive note. The artist then painted in the more hopeful green line by hand.<br>The result was a poster showing historical and projected Arctic sea ice cover, with 100 beautiful<br>paintings by children of things that are dear to them about their home being squeezed into a smaller<br>region as the sea ice cover diminishes. We scanned all the artwork to make a digital version of the<br>poster, and left the original with the school. These materials are being converted into an interactive<br>webpage where viewers can click on the individual painting for detail, and get selected recordings of the<br>children’s statements about their artwork. This project can serve as a nucleus for communicating to<br>other classes and adults about the real impacts of climate change in people’s lives.</p>


2020 ◽  
Author(s):  
Xavier Levine ◽  
Ivana Cvijanovic ◽  
Pablo Ortega ◽  
Markus Donat

<p>Climate models predict that sea ice cover will shrink--even disappear-- in most regions of the Arctic basin by the end of the century, triggering local and remote responses in the surface climate via atmospheric and oceanic circulation changes. In particular, it has been suggested that seasonal anomalies over Europe and North America in recent years could have been caused by record low Arctic sea ice cover. Despite an intense research effort toward quantifying its effect, the contribution of regional sea ice loss to climate change and its mechanisms of action remain controversial. </p><p>In this study, we prescribe sea ice loss in individual sectors of the Arctic within a climate model, and study its effect on climatic anomalies in the Northern Hemisphere. Using the EC-EARTH3.3 model in its atmospheric-only and fully coupled configuration, and following the PAMIP protocol, sea ice cover is set to either its present day state, or a hypothetical future distribution of reduced sea ice cover in the Arctic. This pan-Arctic sea ice loss experiment is then complemented by 8 regional sea ice loss experiments.</p><p>Comparing those experiments, we assess the contribution of sea ice loss in each region of the Arctic to climate change over Europe, Siberia and North America. We find that sea ice loss in some sectors of the Arctic appears to matter more for Northern Hemisphere climate change than others, even after normalizing for differences in surface cover. Furthermore, the climatic effect of regional sea ice loss is compared to that of a pan-Arctic sea ice loss, whose associated climate anomalies are found to be strikingly different from that expected from a simple linear response to regional sea ice loss. We propose a mechanism for this nonlinear climate response to regional sea ice loss, which considers regional differences in the strength of the thermal inversion over the Arctic, as well as the relative proximity of each Arctic region to features critical for stationary wave genesis (e.g. the Tibetan plateau).</p>


2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Mats Brockstedt Olsen Huserbråten ◽  
Elena Eriksen ◽  
Harald Gjøsæter ◽  
Frode Vikebø

Abstract The Arctic amplification of global warming is causing the Arctic-Atlantic ice edge to retreat at unprecedented rates. Here we show how variability and change in sea ice cover in the Barents Sea, the largest shelf sea of the Arctic, affect the population dynamics of a keystone species of the ice-associated food web, the polar cod (Boreogadus saida). The data-driven biophysical model of polar cod early life stages assembled here predicts a strong mechanistic link between survival and variation in ice cover and temperature, suggesting imminent recruitment collapse should the observed ice-reduction and heating continue. Backtracking of drifting eggs and larvae from observations also demonstrates a northward retreat of one of two clearly defined spawning assemblages, possibly in response to warming. With annual to decadal ice-predictions under development the mechanistic physical-biological links presented here represent a powerful tool for making long-term predictions for the propagation of polar cod stocks.


2011 ◽  
Vol 57 (202) ◽  
pp. 231-237 ◽  
Author(s):  
David Marsan ◽  
Jérôme Weiss ◽  
Jean-Philippe Métaxian ◽  
Jacques Grangeon ◽  
Pierre-François Roux ◽  
...  

AbstractWe report the detection of bursts of low-frequency waves, typically f = 0.025 Hz, on horizontal channels of broadband seismometers deployed on the Arctic sea-ice cover during the DAMOCLES (Developing Arctic Modeling and Observing Capabilities for Long-term Environmental Studies) experiment in spring 2007. These bursts have amplitudes well above the ambient ice swell and a lower frequency content. Their typical duration is of the order of minutes. They occur at irregular times, with periods of relative quietness alternating with periods of strong activity. A significant correlation between the rate of burst occurrences and the ice-cover deformation at the ∼400 km scale centered on the seismic network suggests that these bursts are caused by remote, episodic deformation involving shearing across regional-scale leads. This observation opens the possibility of complementing satellite measurements of ice-cover deformation, by providing a much more precise temporal sampling, hence a better characterization of the processes involved during these deformation events.


1964 ◽  
Vol 5 (37) ◽  
pp. 93-98 ◽  
Author(s):  
M. P. Langleben ◽  
E. R. Pounder

AbstractA comparison of polar ice (several years old) with biennial ice (between one and two years old) was made in the field at lat. 79°N., long. 104° W. Vertical cores were extracted from the ice cover and sectioned. Their ultimate tensile strengths were measured by the ring-tensile method. Supporting measurements were made of the salinity, density, and crystal structure of the ice. Tensile strength values averaged 6 per cent higher for the polar ice and 21 per cent higher for the biennial ice than comparable results for annual sea ice. A few horizontal cores of biennial ice were analysed similarly with inconclusive results.


2017 ◽  
Vol 50 (1-2) ◽  
pp. 443-443 ◽  
Author(s):  
Mihaela Caian ◽  
Torben Koenigk ◽  
Ralf Döscher ◽  
Abhay Devasthale

2012 ◽  
Vol 25 (5) ◽  
pp. 1431-1452 ◽  
Author(s):  
Alexandra Jahn ◽  
Kara Sterling ◽  
Marika M. Holland ◽  
Jennifer E. Kay ◽  
James A. Maslanik ◽  
...  

To establish how well the new Community Climate System Model, version 4 (CCSM4) simulates the properties of the Arctic sea ice and ocean, results from six CCSM4 twentieth-century ensemble simulations are compared here with the available data. It is found that the CCSM4 simulations capture most of the important climatological features of the Arctic sea ice and ocean state well, among them the sea ice thickness distribution, fraction of multiyear sea ice, and sea ice edge. The strongest bias exists in the simulated spring-to-fall sea ice motion field, the location of the Beaufort Gyre, and the temperature of the deep Arctic Ocean (below 250 m), which are caused by deficiencies in the simulation of the Arctic sea level pressure field and the lack of deep-water formation on the Arctic shelves. The observed decrease in the sea ice extent and the multiyear ice cover is well captured by the CCSM4. It is important to note, however, that the temporal evolution of the simulated Arctic sea ice cover over the satellite era is strongly influenced by internal variability. For example, while one ensemble member shows an even larger decrease in the sea ice extent over 1981–2005 than that observed, two ensemble members show no statistically significant trend over the same period. It is therefore important to compare the observed sea ice extent trend not just with the ensemble mean or a multimodel ensemble mean, but also with individual ensemble members, because of the strong imprint of internal variability on these relatively short trends.


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