Relational agility: Visualizing near-real-time Arctic sea ice data as a proxy for climate change

2020 ◽  
Vol 50 (5) ◽  
pp. 802-820
Author(s):  
Mark Vardy
Keyword(s):  
Climate Change ◽  
Sea Ice ◽  
Real Time ◽  
Climate Science ◽  
Arctic Sea Ice ◽  
Ethnographic Study ◽  
Time Data ◽  
Arctic Sea ◽  
The Us ◽  
Science And Politics

This ethnographic study at the US National Snow and Ice Data Center (NSIDC) follows a group of scientists and communications specialists as they compose visualizations and analyses of near-real-time Arctic sea ice data. Research participants collectively make scientific judgments about near-real-time data in a highly visible public venue with ‘relational agility’. They balance multiple phenomena including knowledge of how sceptics attack climate science, reflexivity about the conventions through which sea ice data is gathered, the needs of journalists working in a news cycle paced by Twitter, and the liveliness and vitality of sea ice itself. Relational agility, understood as a way of coordinating the social in relation to this plurality of contingent practices and processes, provides insight into the science and politics of nonlinear climate change.

scholarly journals Subseasonal to seasonal Arctic sea-ice prediction: A grand challenge of climate science

2021 ◽  
pp. 100052
Author(s):  
Ke Wei ◽  
Jiping Liu ◽  
Qing Bao ◽  
Bian He ◽  
Jiao Ma ◽  
...  
Keyword(s):  
Sea Ice ◽  
Climate Science ◽  
Arctic Sea Ice ◽  
Grand Challenge ◽  
Arctic Sea

scholarly journals Near Real Time Arctic sea ice thickness and volume from CryoSat-2

2016 ◽  
Author(s):  
R. L. Tilling ◽  
A. Ridout ◽  
A. Shepherd
Keyword(s):  
Sea Ice ◽  
Real Time ◽  
Arctic Sea Ice ◽  
Arctic Climate ◽  
The Arctic ◽  
Ice Thickness ◽  
Satellite Orbits ◽  
Sea Ice Thickness ◽  
Arctic Sea ◽  
Arctic Sea Ice Thickness

Abstract. Timely observations of sea ice thickness help us to understand Arctic climate, and can support maritime activities in the Polar Regions. Although it is possible to calculate Arctic sea ice thickness using measurements acquired by CryoSat-2, the latency of the final release dataset is typically one month, due to the time required to determine precise satellite orbits. We use a new fast delivery CryoSat-2 dataset based on preliminary orbits to compute Arctic sea ice thickness in near real time (NRT), and analyse this data for one sea ice growth season from October 2014 to April 2015. We show that this NRT sea ice thickness product is of comparable accuracy to that produced using the final release CryoSat-2 data, with an average thickness difference of 5 cm, demonstrating that the satellite orbit is not a critical factor in determining sea ice freeboard. In addition, the CryoSat-2 fast delivery product also provides measurements of Arctic sea ice thickness within three days of acquisition by the satellite, and a measurement is delivered, on average, within 10, 7 and 6 km of each location in the Arctic every 2, 14 and 28 days respectively. The CryoSat-2 NRT sea ice thickness dataset provides an additional constraint for seasonal predictions of Arctic climate change, and will allow industries such as tourism and transport to navigate the polar oceans with safety and care.

scholarly journals Arctic Sea Ice’s Amplification as a Complement to Anthropogenic Global Warming

2021 ◽  
Author(s):  
Marco Morando
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Sea Ice ◽  
Arctic Sea Ice ◽  
The Arctic ◽  
Future Climate Change ◽  
Number Count ◽  
Anthropogenic Global Warming ◽  
Arctic Sea ◽  
Scientific Subject

Abstract Climate Change is a widely debated scientific subject and Anthropogenic Global Warming is its main cause. Nevertheless, several authors have indicated solar activity and Atlantic Multi-decadal Oscillation variations may also influence Climate Change. This article considers the amplification of solar radiation’s and Atlantic Multi-decadal Oscillation’s variations, via sea ice cover albedo feedbacks in the Arctic regions, providing a conceptual advance in the application of Arctic Amplification for modelling historical climate change. A 1-dimensional physical model, using sunspot number count and Atlantic Multi-decadal Oscillation index as inputs, can simulate the average global temperature’s anomaly and the Arctic Sea Ice Extension for the past eight centuries. This model represents an innovative progress in understanding how existing studies on Arctic sea ice’s albedo feedbacks can help complementing the Anthropogenic Global Warming models, thus helping to define more precise models for future climate change.

scholarly journals Shifting surface

Novos Olhares ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 98-113
Author(s):  
Ansgar Fellendorf
Keyword(s):  
Climate Change ◽  
Sea Ice ◽  
Policy Research ◽  
Arctic Sea Ice ◽  
Spatial Reference ◽  
Visual Discourse ◽  
Change Effect ◽  
Arctic Sea ◽  
Climate Change Effect ◽  
Policy Measures

This research explores how satellite images of Arctic sea ice contribute to climate change discourse. Different discourses require distinct responses. Policy measures are contingent upon representation, be it i.e. a threat or opportunity. The representations discussed are by the NSIDC and NASA, which hold a visual hegemony. First, the introduction discusses visual studies in policy research and identifies a simplified dichotomy of a threat discourse and environmental citizenship. Moreover, the methodology of visual discourse analysis based on poststructuralism is described. The delineated images portray a vertical, planar view allowing for spatial reference. Arctic sea ice is a visible climate change effect and the absence of boundaries, intervisuality with the Earthrise icon and focus on environmental effects support a discourse of citizenship.

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 ◽  
...  
Keyword(s):  
Climate Change ◽  
Sea Ice ◽  
Ice Cover ◽  
Arctic Sea Ice ◽  
Arctic Sea

scholarly journals Evaluating Impacts of Recent Arctic Sea Ice Loss on the Northern Hemisphere Winter Climate Change

2018 ◽  
Vol 45 (7) ◽  
pp. 3255-3263 ◽  
Author(s):  
Fumiaki Ogawa ◽  
Noel Keenlyside ◽  
Yongqi Gao ◽  
Torben Koenigk ◽  
Shuting Yang ◽  
...  
Keyword(s):  
Climate Change ◽  
Sea Ice ◽  
Northern Hemisphere ◽  
Arctic Sea Ice ◽  
Winter Climate ◽  
Winter Climate Change ◽  
Arctic Sea ◽  
Hemisphere Winter ◽  
Arctic Sea Ice Loss ◽  
Northern Hemisphere Winter

Early Holocene history of the Zachariae Ice Stream, NE Greenland: Evidence from geochemistry, grain size and sedimentary parameters

2020 ◽  
Author(s):  
Joanna Davies ◽  
Anders Møller Mathiase ◽  
Christof Pearce ◽  
Marit-Solveig Seidenkrantz
Keyword(s):  
Climate Change ◽  
Grain Size ◽  
Sea Ice ◽  
Surface Waters ◽  
Arctic Sea Ice ◽  
Early Holocene ◽  
The Arctic ◽  
Cold Surface ◽  
Sea Ice Extent ◽  
Arctic Sea

<p>The Arctic region exhibits some of the most visible signs of climate change globally. Arctic sea ice extent and volume has been declining sharply in recent decades; observations indicate a mean annual decrease of 3.2% since 1980. However, no extensive network of sea ice observations extends back further than the mid-18<sup>th</sup> century and satellite data since the late 1970s; this limits perspectives of sea ice variability on longer time scales. Thus, to understand the processes governing sea-ice cover and variability, predict how sea ice and ocean conditions will respond to anthropogenic climate change and to understand if the shrinking of Arctic sea ice is a unique and irreversible process, longer records of sea ice variability and oceanic conditions are required.</p><p>A multi-proxy approach, involving grain size, geochemical, foraminifera and sedimentary analysis, was applied to a marine sediment core from North East Greenland to reconstruct changes in sea ice extent and palaeoceanographic conditions throughout the early Holocene (ca. 12,400-7,800 cal. yrs. BP). The study aimed to improve the understanding of the interaction between ocean circulation, sea ice and fluctuations of the Zachariae Isstrøm (ZI), one of the main glacier outlets of NE Greenland. Four distinct zones have been identified: Zone 1 (12,400-11,600 cal. yrs. BP) covering the transition from the Younger Dryas into the Holocene which evidences a gradually warming climate, resulting in a retreat of the ZI; Zone 2 (11,600 – 10,300 cal. yrs. BP) which encapsulates two distinct cooling events as a result of cooler surface waters, rapid release of freshwater and local feedback mechanisms. This coincides with sudden re-advances of the ZI followed by gradual retreats; 3) Zone 3 (10,300 – 8,600 cal. yrs. BP) shows warm and stable conditions, with warm surface waters that resulted in the retreat of the ZI; 4) Zone 4 (8,600 – 7,800 cal. yrs. BP) which shows a rapid return to cooler conditions, with cold surface waters and rapid freshwater outbursts resulting in the re-advance of the ZI, forced by decreasing solar insolation and cold surface waters. Our investigation thus indicated that changes in oceanic conditions at the NE Greenland shelf had a significant impact on the extent and melting rate of the ZI glacier.</p>

scholarly journals Arctic sea ice-free season projected to extend into fall

2018 ◽  
Author(s):  
Marion Lebrun ◽  
Martin Vancoppenolle ◽  
Gurvan Madec ◽  
François Massonnet
Keyword(s):  
Climate Change ◽  
Solar Energy ◽  
Sea Ice ◽  
Climate Models ◽  
Arctic Sea Ice ◽  
Arctic Ecosystems ◽  
Simple Mechanism ◽  
Arctic Sea ◽  
Ice Retreat ◽  
Sea Ice Reduction

Abstract. The recent Arctic sea-ice reduction is associated with an increase in the ice-free season duration, with comparable contributions of earlier retreat and later freeze-up. Here we show that within the next decades, the trends towards later freeze-up should progressively exceed and ultimately double the trend towards an earlier ice retreat date. This feature is robustly found in a hierarchy of climate models and is consistent with a simple mechanism: solar energy is absorbed more efficiently than it can be released in non-solar form until freeze-up. Based on climate change simulations, we envision an increase and a shift of the ice-free season towards fall, which will affect Arctic ecosystems and navigation.

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