scholarly journals Atlantic walrus signal latitudinal differences in the long-term decline of sea ice-derived carbon to benthic fauna in the Canadian Arctic

2020 ◽  
Vol 287 (1940) ◽  
pp. 20202126
Author(s):  
David J. Yurkowski ◽  
Thomas A. Brown ◽  
Paul J. Blanchfield ◽  
Steven H. Ferguson
Keyword(s):  
Sea Ice ◽  
Trophic Position ◽  
Marine Ecosystem ◽  
Canadian Arctic ◽  
Benthic Fauna ◽  
Nitrogen Isotope ◽  
Arctic Sea Ice ◽  
The Arctic ◽  
Benthic Habitats ◽  
Atlantic Walrus

Climate change is altering the biogeochemical and physical characteristics of the Arctic marine environment, which impacts sea ice algal and phytoplankton bloom dynamics and the vertical transport of these carbon sources to benthic communities. Little is known about whether the contribution of sea ice-derived carbon to benthic fauna and nitrogen cycling has changed over multiple decades in concert with receding sea ice. We combined compound-specific stable isotope analysis of amino acids with highly branched isoprenoid diatom lipid biomarkers using archived (1982–2016) tissue of benthivorous Atlantic walrus to examine temporal trends of sea ice-derived carbon, nitrogen isotope baseline and trophic position of Atlantic walrus at high- and mid-latitudes in the Canadian Arctic. Associated with an 18% sea ice decline in the mid-Arctic, sea ice-derived carbon contribution to Atlantic walrus decreased by 75% suggesting a strong decoupling of sea ice-benthic habitats. By contrast, a nearly exclusive amount of sea ice-derived carbon was maintained in high-Arctic Atlantic walrus (98% in 1996 and 89% in 2006) despite a similar percentage in sea ice reduction. Nitrogen isotope baseline or the trophic position of Atlantic walrus did not change over time at either location. These findings indicate latitudinal differences in the restructuring of carbon energy sources used by Atlantic walrus and their benthic prey, and in turn a change in Arctic marine ecosystem functioning between sea ice–pelagic–benthic habitats.

Arctocyclopina pagonasta, a new genus and species of the family Cyclopinidae (Cyclopoida, Copepoda) from the annual sea ice in the Canadian Arctic

1985 ◽  
Vol 63 (10) ◽  
pp. 2389-2394 ◽  
Author(s):  
A. A. Mohammed ◽  
Vidar Neuhof
Keyword(s):  
Sea Ice ◽  
New Genus ◽  
Canadian Arctic ◽  
Arctic Sea Ice ◽  
The Arctic ◽  
New Genus And Species ◽  
Arctic Sea ◽  
The Family

A new genus and species of Cyclopoida is described; Arctocyclopina pagonasta is found inhabiting the arctic sea ice. Comparison is made with Cyclopina gracilis Claus, with which it may be confused.

scholarly journals Synoptic climatological approach associated with three recent summer heatwaves in the Canadian Arctic

2020 ◽  
Vol 11 (S1) ◽  
pp. 233-250 ◽  
Author(s):  
Farahnaz Fazel-Rastgar
Keyword(s):  
Sea Ice ◽  
Canadian Arctic ◽  
Arctic Region ◽  
Low Pressure ◽  
Arctic Sea Ice ◽  
The Arctic ◽  
The North ◽  
Pressure Centre ◽  
Temperature Records ◽  
Arctic Temperature

Abstract The observed unusually high temperatures in the Arctic during recent decades can be related to the Arctic sea ice declines in summer 2007, 2012 and 2016. Arctic dipole formation has been associated with all three heatwaves of 2007, 2012 and 2016 in the Canadian Arctic. Here, the differences in weather patterns are investigated and compared with normal climatological mean (1981–2010) structures. This study examines the high-resolution datasets from the North American Regional Reanalysis model. During the study periods, the north of Alaska has been affected by the low-pressure tongue. The maximum difference between Greenland high-pressure centre and Alaska low-pressure tongue for the summers of 2012, 2016 and 2007 are 8 hPa, 7 hPa and 6 hPa, respectively, corresponding and matching to the maximum summer surface Canadian Arctic temperature records. During anomalous summer heatwaves, low-level wind, temperatures, total clouds (%) and downward radiation flux at the surface are dramatically changed. This study shows the surface albedo has been reduced over most parts of the Canadian Arctic Ocean during the mentioned heatwaves (∼5–40%), with a higher change (specifically in the eastern Canadian Arctic region) during summer 2012 in comparison with summer 2016 and summer 2007, agreeing with the maximum surface temperature and sea ice decline records.

scholarly journals The Nexus between Sea Ice and Polar Emissions of Marine Biogenic Aerosols

2018 ◽  
Vol 99 (1) ◽  
pp. 61-81 ◽  
Author(s):  
Albert Gabric ◽  
Patricia Matrai ◽  
Graham Jones ◽  
Julia Middleton
Keyword(s):  
Sea Ice ◽  
Marine Ecosystem ◽  
Arctic Sea Ice ◽  
The Arctic ◽  
Radiative Energy ◽  
Accurate Estimation ◽  
Positive Trend ◽  
Sea Ice Extent ◽  
Ice Melt ◽  
Decadal Scale

AbstractAccurate estimation of the climate sensitivity requires a better understanding of the nexus between polar marine ecosystem responses to warming, changes in sea ice extent, and emissions of marine biogenic aerosol (MBA). Sea ice brine channels contain very high concentrations of MBA precursors that, once ventilated, have the potential to alter cloud microphysical properties, such as cloud droplet number, and the regional radiative energy balance. In contrast to temperate latitudes, where the pelagic phytoplankton are major sources of MBAs, the seasonal sea ice dynamic plays a key role in determining MBA concentration in both the Arctic and Antarctic. We review the current knowledge of MBA sources and the link between ice melt and emissions of aerosol precursors in the polar oceans. We illustrate the processes by examining decadal-scale time series in various satellite-derived parameters such as aerosol optical depth (AOD), sea ice extent, and phytoplankton biomass in the sea ice zones of both hemispheres. The sharpest gradients in aerosol indicators occur during the spring period of ice melt. In sea ice–covered waters, the peak in AOD occurs well before the annual maximum in biomass in both hemispheres. The results provide strong evidence that suggests seasonal changes in sea ice and ocean biology are key drivers of the polar aerosol cycle. The positive trend in annual-mean Antarctic sea ice extent is now almost one-third of the magnitude of the annual-mean decrease in Arctic sea ice, suggesting the potential for different patterns of aerosol emissions in the future.

Fast ice characteristics, with special reference to the eastern Canadian Arctic

Polar Record ◽  
1975 ◽  
Vol 17 (110) ◽  
pp. 521-536 ◽  
Author(s):  
John D. Jacobs ◽  
Roger G. Barry ◽  
Ronald L. Weaver
Keyword(s):  
Sea Ice ◽  
Canadian Arctic ◽  
The United States ◽  
Arctic Sea Ice ◽  
The Arctic ◽  
National Academy Of Sciences ◽  
Ice Dynamics ◽  
Pack Ice ◽  
Fast Ice ◽  
Eastern Canadian Arctic

Arctic sea ice is currently receiving increasing attention, both in relation to technological problems associated with resources development and shipping (Walker and Penney, 1973), and to basic research questions. The polar pack ice in the Beaufort Sea, for example, is the focus of the Arctic Ice Dynamics Joint Experiment (AIDJEX) (Untersteiner, 1974), while an analysis of physical links between the characteristics of polar surfaces and climate is to be the crux of the United States contribution to the Polar Experiment (POLEX) (Weller and Bierly, 1973; National Academy of Sciences, 1974). A general discussion of sea ice, with emphasis on pack ice, has been presented recently by Wittman and Burkhart (1973), but another aspect of the sea ice regime deserving separate attention, particularly in the light of Arctic offshore oil developments, is the landfast or fast ice, ie that part of the sea ice which remains attached to the shore (see “Sea ice terminology”). This paper attempts to provide a broad picture of fast ice characteristics in the context of our field experience in the eastern Canadian Arctic.

scholarly journals A fundamental shift in the melt processes of Arctic sea ice

2020 ◽  
Author(s):  
Jeremy Wilkinson ◽  
Martin Doble ◽  
Lovro Valcic ◽  
Gaelle Veyssiere ◽  
Sylvia Cole ◽  
...  
Keyword(s):  
Sea Ice ◽  
Marine Ecosystem ◽  
Arctic Sea Ice ◽  
The Arctic ◽  
Upper Ocean ◽  
Ocean Stratification ◽  
Ice Melt ◽  
Surface Melt ◽  
Basal Melting ◽  
Fundamental Shift

Abstract As the Arctic Ocean transitions into a seasonally ice-covered ocean, the processes that govern the sea ice melt cycle will undergo a fundamental shift. The summer melt cycle passes through several stages, such as snowmelt, meltpond formation and drainage, and basal melting; normally with surface melt processes occurring well before basal melt. Monitoring of atmospheric, sea ice and oceanographic properties from autonomous buoys deployed across the Beaufort Sea, combined with targeted satellite imagery, reveal a fundamental restructuring of these melt processes within the seasonal ice zone – where basal melt occurs before surface melt. We find this seemingly unremarkable change accelerates the basal melting of sea ice by ten-fold, as well as transforming the timing and flux of freshwater and heat into the upper-ocean. These processes play a pivotal role in determining upper-ocean stratification, and when combined with a modification of the under-ice light field, it could impact marine ecosystem function.

scholarly journals Physiological consequences of Arctic sea ice loss on large marine carnivores: unique responses by polar bears and narwhals

2021 ◽  
Vol 224 (Suppl 1) ◽  
pp. jeb228049
Author(s):  
Anthony M. Pagano ◽  
Terrie M. Williams
Keyword(s):  
Sea Ice ◽  
Marine Mammal ◽  
Environmental Changes ◽  
Marine Ecosystem ◽  
Caloric Intake ◽  
Marine Species ◽  
Arctic Sea Ice ◽  
The Arctic ◽  
Polar Bears ◽  
Locomotor Costs

ABSTRACTRapid environmental changes in the Arctic are threatening the survival of marine species that rely on the predictable presence of the sea ice. Two Arctic marine mammal specialists, the polar bear (Ursus maritimus) and narwhal (Monodon monoceros), appear especially vulnerable to the speed and capriciousness of sea ice deterioration as a consequence of their unique hunting behaviors and diet, as well as their physiological adaptations for slow-aerobic exercise. These intrinsic characteristics limit the ability of these species to respond to extrinsic threats associated with environmental change and increased industrial activity in a warming Arctic. In assessing how sea ice loss may differentially affect polar bears that hunt on the ice surface and narwhals that hunt at extreme depths below, we found that major ice loss translated into elevated locomotor costs that range from 3- to 4-fold greater than expected for both species. For polar bears this instigates an energy imbalance from the combined effects of reduced caloric intake and increased energy expenditure. For narwhals, high locomotor costs during diving increase the risk of ice entrapment due to the unreliability of breathing holes. These species-specific physiological constraints and extreme reliance on the polar sea ice conspire to make these two marine mammal specialists sentinels of climate change within the Arctic marine ecosystem that may foreshadow rapid changes to the marine ecosystem.

scholarly journals Linking winter and spring thermodynamic sea-ice states at critical scales using an object-based image analysis of Sentinel-1

2017 ◽  
Vol 59 (76pt2) ◽  
pp. 148-162 ◽  
Author(s):  
RK Scharien ◽  
R Segal ◽  
JJ Yackel ◽  
SEL Howell ◽  
S Nasonova
Keyword(s):  
Image Analysis ◽  
Sea Ice ◽  
Marine Ecosystem ◽  
Arctic Sea Ice ◽  
The Arctic ◽  
First Year ◽  
Band Frequency ◽  
Melt Pond ◽  
Object Based Image Analysis ◽  
Object Based

ABSTRACTChanging Arctic sea-ice extent and melt season duration, and increasing economic interest in the Arctic have prompted the need for enhanced marine ecosystem studies and improvements to dynamical and forecast models. Sea-ice melt pond fraction fp has been shown to be correlated with the September minimum ice extent due to its impact on ice albedo and heat uptake. Ice forecasts should benefit from knowledge of fp as melt ponds form several months in advance of ice retreat. This study goes further back by examining the potential to predict fp during winter using backscatter data from the commonly available Sentinel-1 synthetic aperture radar. An object-based image analysis links the winter and spring thermodynamic states of first-year and multiyear sea-ice types. Strong correlations between winter backscatter and spring fp, detected from high-resolution visible to near infrared imagery, are observed, and models for the retrieval of fp from Sentinel-1 data are provided (r2 ≥ 0.72). The models utilize HH polarization channel backscatter that is routinely acquired over the Arctic from the two-satellite Sentinel-1 constellation mission, as well as other past, current and future SAR missions operating in the same C-band frequency. Predicted fp is generally representative of major ice types first-year ice and multiyear ice during the stage in seasonal melt pond evolution where fp is closely related to spatial variations in ice topography.

Prévoir les variations saisonnières de la glace de mer arctique et leurs impacts sur le climat

2020 ◽  
pp. 024
Author(s):  
Rym Msadek ◽  
Gilles Garric ◽  
Sara Fleury ◽  
Florent Garnier ◽  
Lauriane Batté ◽  
...  
Keyword(s):  
Sea Ice ◽  
Arctic Region ◽  
Arctic Sea Ice ◽  
Climate Impacts ◽  
The Arctic ◽  
Recent Effort ◽  
Sea Ice Thickness ◽  
Arctic Sea ◽  
Ice Conditions ◽  
Upper Level

L'Arctique est la région du globe qui s'est réchauffée le plus vite au cours des trente dernières années, avec une augmentation de la température de surface environ deux fois plus rapide que pour la moyenne globale. Le déclin de la banquise arctique observé depuis le début de l'ère satellitaire et attribué principalement à l'augmentation de la concentration des gaz à effet de serre aurait joué un rôle important dans cette amplification des températures au pôle. Cette fonte importante des glaces arctiques, qui devrait s'accélérer dans les décennies à venir, pourrait modifier les vents en haute altitude et potentiellement avoir un impact sur le climat des moyennes latitudes. L'étendue de la banquise arctique varie considérablement d'une saison à l'autre, d'une année à l'autre, d'une décennie à l'autre. Améliorer notre capacité à prévoir ces variations nécessite de comprendre, observer et modéliser les interactions entre la banquise et les autres composantes du système Terre, telles que l'océan, l'atmosphère ou la biosphère, à différentes échelles de temps. La réalisation de prévisions saisonnières de la banquise arctique est très récente comparée aux prévisions du temps ou aux prévisions saisonnières de paramètres météorologiques (température, précipitation). Les résultats ayant émergé au cours des dix dernières années mettent en évidence l'importance des observations de l'épaisseur de la glace de mer pour prévoir l'évolution de la banquise estivale plusieurs mois à l'avance. Surface temperatures over the Arctic region have been increasing twice as fast as global mean temperatures, a phenomenon known as arctic amplification. One main contributor to this polar warming is the large decline of Arctic sea ice observed since the beginning of satellite observations, which has been attributed to the increase of greenhouse gases. The acceleration of Arctic sea ice loss that is projected for the coming decades could modify the upper level atmospheric circulation yielding climate impacts up to the mid-latitudes. There is considerable variability in the spatial extent of ice cover on seasonal, interannual and decadal time scales. Better understanding, observing and modelling the interactions between sea ice and the other components of the climate system is key for improved predictions of Arctic sea ice in the future. Running operational-like seasonal predictions of Arctic sea ice is a quite recent effort compared to weather predictions or seasonal predictions of atmospheric fields like temperature or precipitation. Recent results stress the importance of sea ice thickness observations to improve seasonal predictions of Arctic sea ice conditions during summer.

scholarly journals Retrieval of Snow Depth over Arctic Sea Ice Using a Deep Neural Network

2019 ◽  
Vol 11 (23) ◽  
pp. 2864 ◽  
Author(s):  
Jiping Liu ◽  
Yuanyuan Zhang ◽  
Xiao Cheng ◽  
Yongyun Hu
Keyword(s):  
Neural Network ◽  
Sea Ice ◽  
Snow Depth ◽  
Deep Neural Network ◽  
Arctic Basin ◽  
Temporal Variations ◽  
Arctic Sea Ice ◽  
The Arctic ◽  
Sea Ice Thickness ◽  
Arctic Sea

The accurate knowledge of spatial and temporal variations of snow depth over sea ice in the Arctic basin is important for understanding the Arctic energy budget and retrieving sea ice thickness from satellite altimetry. In this study, we develop and validate a new method for retrieving snow depth over Arctic sea ice from brightness temperatures at different frequencies measured by passive microwave radiometers. We construct an ensemble-based deep neural network and use snow depth measured by sea ice mass balance buoys to train the network. First, the accuracy of the retrieved snow depth is validated with observations. The results show the derived snow depth is in good agreement with the observations, in terms of correlation, bias, root mean square error, and probability distribution. Our ensemble-based deep neural network can be used to extend the snow depth retrieval from first-year sea ice (FYI) to multi-year sea ice (MYI), as well as during the melting period. Second, the consistency and discrepancy of snow depth in the Arctic basin between our retrieval using the ensemble-based deep neural network and two other available retrievals using the empirical regression are examined. The results suggest that our snow depth retrieval outperforms these data sets.

scholarly journals Observation-based selection of climate models projects Arctic ice-free summers around 2035

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
David Docquier ◽  
Torben Koenigk
Keyword(s):  
Model Selection ◽  
Sea Ice ◽  
Climate Models ◽  
Global Climate ◽  
Coupled Model ◽  
Arctic Sea Ice ◽  
Global Climate Models ◽  
The Arctic ◽  
Arctic Sea ◽  
Area And Volume

AbstractArctic sea ice has been retreating at an accelerating pace over the past decades. Model projections show that the Arctic Ocean could be almost ice free in summer by the middle of this century. However, the uncertainties related to these projections are relatively large. Here we use 33 global climate models from the Coupled Model Intercomparison Project 6 (CMIP6) and select models that best capture the observed Arctic sea-ice area and volume and northward ocean heat transport to refine model projections of Arctic sea ice. This model selection leads to lower Arctic sea-ice area and volume relative to the multi-model mean without model selection and summer ice-free conditions could occur as early as around 2035. These results highlight a potential underestimation of future Arctic sea-ice loss when including all CMIP6 models.

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