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Journal articles on the topic 'The Barents Sea'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Christophe, Herbaut, Houssais Marie-Noëlle, Close Sally, and Blaizot Anne-Cécile. "Two wind-driven modes of winter sea ice variability in the Barents Sea." Deep Sea Research Part I: Oceanographic Research Papers Volume 106, December 2015 (2015): Pages 97–115. https://doi.org/10.1016/j.dsr.2015.10.005.

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The interannual variability of the winter sea ice area in the Barents Sea is investigated using SMMR-SSM/I data and a coupled ocean–sea ice model over the period 1979–2012. Our analysis reveals that the sea ice area in the northern and eastern parts of the Barents Sea do not covary. This contrast in behavior allows us to associate two distinct modes of variability with these two regions, with the variability of the overall Barents Sea ice cover being predominantly captured by the northern mode. Both modes show a dominant, near in-phase response to the surface wind, both being assoc

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Stepanov, V. N., H. Zuo, and K. Haines. "The link between the Barents Sea and ENSO events reproduced by NEMO model." Ocean Science Discussions 9, no. 3 (2012): 2121–51. http://dx.doi.org/10.5194/osd-9-2121-2012.

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Abstract. An analysis of observational data in the Barents Sea along a meridian at 33°30´ E between 70°30´ and 72°30´ N has reported a negative correlation between El Niño/La Niña-Southern Oscillation (ENSO) events and water temperature in the top 200 m: the temperature drops about 0.5 °C during warm ENSO events while during cold ENSO events the top 200 m layer of the Barents Sea is warmer. Results from 1 and 1/4-degree global NEMO models show a similar response for the whole Barents Sea. During the strong warm ENSO event in 1997–1998 an anticyclonic atmospheric circulation is settled over the

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Ogorodov, Stanislav. "BARENTS SEA COASTS." GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 4, no. 3 (2011): 34–51. http://dx.doi.org/10.24057/2071-9388-2011-4-3-34-51.

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4

Stepanov, V. N., H. Zuo, and K. Haines. "The link between the Barents Sea and ENSO events simulated by NEMO model." Ocean Science 8, no. 6 (2012): 971–82. http://dx.doi.org/10.5194/os-8-971-2012.

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Abstract. An analysis of observational data in the Barents Sea along a meridian at 33°30' E between 70°30' and 72°30' N has reported a negative correlation between El Niño/La Niña Southern Oscillation (ENSO) events and water temperature in the top 200 m: the temperature drops about 0.5 °C during warm ENSO events while during cold ENSO events the top 200 m layer of the Barents Sea is warmer. Results from 1 and 1/4-degree global NEMO models show a similar response for the whole Barents Sea. During the strong warm ENSO event in 1997–1998 an anomalous anticyclonic atmospheric circulation over the

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5

Ikeda, M. "Feedback Mechanism Among Decadal Oscillations in Northern Hemisphere Atmospheric Circulation, Sea Ice, and Ocean Circulation." Annals of Glaciology 14 (1990): 120–23. http://dx.doi.org/10.3189/s0260305500008399.

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Decadal oscillations of the ice cover in the Barents Sea are examined for the period since 1950. They are highly correlated with atmospheric circulation when that circulation has an anomalous low pressure over the Barents Sea and Eurasian Basin, while the ice cover is weakly correlated with local air temperature. A feedback mechanism between Barents Sea ice and the atmospheric circulation is suggested; increased cyclonic wind-stress curl reduces cold Arctic flow to the Barents Sea and reduces the sea ice. The reduced ice cover encourages heat flux from the Barents Sea to the atmosphere, tendin

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Ikeda, M. "Feedback Mechanism Among Decadal Oscillations in Northern Hemisphere Atmospheric Circulation, Sea Ice, and Ocean Circulation." Annals of Glaciology 14 (1990): 120–23. http://dx.doi.org/10.1017/s0260305500008399.

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Decadal oscillations of the ice cover in the Barents Sea are examined for the period since 1950. They are highly correlated with atmospheric circulation when that circulation has an anomalous low pressure over the Barents Sea and Eurasian Basin, while the ice cover is weakly correlated with local air temperature. A feedback mechanism between Barents Sea ice and the atmospheric circulation is suggested; increased cyclonic wind-stress curl reduces cold Arctic flow to the Barents Sea and reduces the sea ice. The reduced ice cover encourages heat flux from the Barents Sea to the atmosphere, tendin

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Tuerena, Robyn E., Joanne Hopkins, Raja S. Ganeshram, et al. "Nitrate assimilation and regeneration in the Barents Sea: insights from nitrate isotopes." Biogeosciences 18, no. 2 (2021): 637–53. http://dx.doi.org/10.5194/bg-18-637-2021.

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Abstract. While the entire Arctic Ocean is warming rapidly, the Barents Sea in particular is experiencing significant warming and sea ice retreat. An increase in ocean heat transport from the Atlantic is causing the Barents Sea to be transformed from a cold, salinity-stratified system into a warmer, less-stratified Atlantic-dominated climate regime. Productivity in the Barents Sea shelf is fuelled by waters of Atlantic origin (AW) which are ultimately exported to the Arctic Basin. The consequences of this current regime shift on the nutrient characteristics of the Barents Sea are poorly define

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Suslova, Anna A., Alina V. Mordasova, Antonina V. Stoupakova, et al. "Structure and petroleum prospects of the northern part of the Barents-Kara Sea region." Georesursy 25, no. 2 (2023): 47–63. http://dx.doi.org/10.18599/grs.2023.2.4.

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The geological structure and the petroleum potential of the western part of the Russian Arctic shelf are still matter for disputes, especially due to the absence of deep drilling and scarce data. One of the key problems in assessing the petroleum potential of the North Kara Sea Basin and the adjacent North Barents Sea Basin is the lack of a proven stratigraphic model of the sedimentary cover. The article presents a model of the structure of the sedimentary cover of the northern part of the Barents-Kara Sea region based on the analysis of the regional seismic data and comparison with outcrop se

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Long, Zhenxia, and Will Perrie. "Changes in Ocean Temperature in the Barents Sea in the Twenty-First Century." Journal of Climate 30, no. 15 (2017): 5901–21. http://dx.doi.org/10.1175/jcli-d-16-0415.1.

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Possible modifications to ocean temperature in the Barents Sea induced by climate change are explored. The simulations were performed with a coupled ice–ocean model (CIOM) driven by the surface fields from the Canadian Regional Climate Model (CRCM) simulations. CIOM can capture the observed water volume inflow through the Barents Sea Opening. The CIOM simulation and observations suggest an increase in the Atlantic water volume inflow and heat transport into the Barents Sea in recent decades resulting from enhanced storm activity. While seasonal variations of sea ice and sea surface temperature

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10

Trofimov, A. G., N. A. Yaragina, V. A. Ivshin, Yu A. Kovalev, M. Yu Antsiferov, and E. V. Sentyabov. "Cod distribution in the Barents Sea under climate changes." Trudy VNIRO 192 (August 15, 2023): 68–84. http://dx.doi.org/10.36038/2307-3497-2023-192-68-84.

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The aim of the paper is to assess the impact of climate changes and oceanographic conditions on the distribution of cod stocks in the Barents Sea in recent decades. The material for the study was oceanographic data obtained during surveys in the Barents Sea by PINRO and other available information on hydrometeorological conditions of the sea in 1981–2021, as well as data onRussian catches of cod in the Barents Sea based on bottom trawl fishing operations. Methods of descriptive statistics as well as comparative, correlation and regression analyses were applied. Results: The modern changes in t

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11

Sorokina, Svetlana A., Camille Li, Justin J. Wettstein, and Nils Gunnar Kvamstø. "Observed Atmospheric Coupling between Barents Sea Ice and the Warm-Arctic Cold-Siberian Anomaly Pattern." Journal of Climate 29, no. 2 (2016): 495–511. http://dx.doi.org/10.1175/jcli-d-15-0046.1.

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Abstract The decline in Barents Sea ice has been implicated in forcing the “warm-Arctic cold-Siberian” (WACS) anomaly pattern via enhanced turbulent heat flux (THF). This study investigates interannual variability in winter [December–February (DJF)] Barents Sea THF and its relationship to Barents Sea ice and the large-scale atmospheric flow. ERA-Interim and observational data from 1979/80 to 2011/12 are used. The leading pattern (EOF1: 33%) of winter Barents Sea THF variability is relatively weakly correlated (r = 0.30) with Barents Sea ice and appears to be driven primarily by atmospheric var

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Liptak, Jessica, and Courtenay Strong. "A Model-Based Decomposition of the Sea Ice–Atmosphere Feedback over the Barents Sea during Winter." Journal of Climate 27, no. 7 (2014): 2533–44. http://dx.doi.org/10.1175/jcli-d-13-00371.1.

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Abstract The feedback between Barents Sea ice and the winter atmosphere was studied in a modeling framework by decomposing it into two sequential boundary forcing experiments. The Community Ice Code (CICE) model was initialized with anomalously high sea ice concentration (SIC) over the Barents Sea and forced with an atmosphere produced by positive SIC anomalies, and CICE was initialized with low Barents Sea SIC and forced with an atmosphere produced by negative SIC anomalies. Corresponding control runs were produced by exposing the same SIC initial conditions to climatological atmospheres, and

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13

Rieke, Ole, Marius Årthun, and Jakob Simon Dörr. "Rapid sea ice changes in the future Barents Sea." Cryosphere 17, no. 4 (2023): 1445–56. http://dx.doi.org/10.5194/tc-17-1445-2023.

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Abstract. Observed and future winter Arctic sea ice loss is strongest in the Barents Sea. However, the anthropogenic signal of the sea ice decline is superimposed by pronounced internal variability that represents a large source of uncertainty in future climate projections. A notable manifestation of internal variability is rapid ice change events (RICEs) that greatly exceed the anthropogenic trend. These RICEs are associated with large displacements of the sea ice edge which could potentially have both local and remote impacts on the climate system. In this study we present the first investig

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14

Siegert, M. J., and W. Fjeldskaar. "Isostatic uplift in the late Weichselian Barents Sea: implications for ice-sheet growth." Annals of Glaciology 23 (1996): 352–58. http://dx.doi.org/10.3189/s026030550001363x.

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Results from a recent time-dependent ice-sheet modelling study of the late Weichselian Svalbard—Barents Sea ice sheet suggest that, under environmental conditions representative of those during the late Weichselian, ice derived solely from Svalbard may have occupied only the relatively shallow (<300 m water depth) northwestern Barents Sea, with other deeper regions remaining free of grounded ice (Siegert and Dowdeswell, 1995a). However, late Weichselian geological information from the 400 m deep Bjørnøyrenna (southern Barents Sea) indicates that grounded ice was present in an area modelled

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Siegert, M. J., and W. Fjeldskaar. "Isostatic uplift in the late Weichselian Barents Sea: implications for ice-sheet growth." Annals of Glaciology 23 (1996): 352–58. http://dx.doi.org/10.1017/s026030550001363x.

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Results from a recent time-dependent ice-sheet modelling study of the late Weichselian Svalbard—Barents Sea ice sheet suggest that, under environmental conditions representative of those during the late Weichselian, ice derived solely from Svalbard may have occupied only the relatively shallow (&lt;300 m water depth) northwestern Barents Sea, with other deeper regions remaining free of grounded ice (Siegert and Dowdeswell, 1995a). However, late Weichselian geological information from the 400 m deep Bjørnøyrenna (southern Barents Sea) indicates that grounded ice was present in an area model

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16

Sorteberg, Asgeir, and Børge Kvingedal. "Atmospheric Forcing on the Barents Sea Winter Ice Extent." Journal of Climate 19, no. 19 (2006): 4772–84. http://dx.doi.org/10.1175/jcli3885.1.

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Abstract The atmospheric forcing on the Barents Sea ice extent during winter [December–February (DJF)] has been investigated for the period 1967–2002. The time series for the sea ice extent is updated and includes the winter of 2005, which marks a new record low in the wintertime Barents Sea ice extent, and a linear trend of −3.5% decade−1 in the ice extent was found. Covariability between the Barents Sea ice extent and the atmospheric mean seasonal flow and the synoptic cyclones has been discussed separately. For the mean flow, linear correlations and regression analysis reveal that anomalous

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Trofimov, A. G. "Arctic and Barents Sea ice extent variability and trends in 1979–2022." Trudy VNIRO 197 (September 28, 2024): 101–20. http://dx.doi.org/10.36038/2307-3497-2024-197-101-120.

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The aim of the paper is to assess interannual and decadal variability of the Barents Sea and Arctic ice extent in various seasons for the period from 1979 to 2022.The material for the study was satellite data on the Barents Sea and Arctic ice extent, climate indices, oceanographic data obtained during surveys in the Barents Sea by PINRO and other available information on hydrometeorological conditions of the sea in 1979–2022.Methods of descriptive statistics as well as comparative, correlation, regression, harmonic and cluster analyses were applied.Results: The year-to-year changes in the Bare

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Smedsrud, L. H., R. Ingvaldsen, J. E. Ø. Nilsen, and Ø. Skagseth. "Barents Sea heat – transport, storage and surface fluxes." Ocean Science Discussions 6, no. 2 (2009): 1437–75. http://dx.doi.org/10.5194/osd-6-1437-2009.

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Abstract. Sensitivity of the Barents Sea to variation in ocean heat transport and surface fluxes is explored using a 1-D column model. Mean monthly ocean transport and atmospheric forcing are synthesised and force model results that reproduce the observed winter convection and surface warming and freshening well. Model results are compared to existing estimates of the ocean to air heat fluxes and horizontally averaged profiles for the southern and northern Barents Sea. Our results indicate that the ~70 TW of heat transported to the Barents Sea by ocean currents is lost in the southern Barents

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Inoue, Jun, Masatake E. Hori, and Koutarou Takaya. "The Role of Barents Sea Ice in the Wintertime Cyclone Track and Emergence of a Warm-Arctic Cold-Siberian Anomaly." Journal of Climate 25, no. 7 (2012): 2561–68. http://dx.doi.org/10.1175/jcli-d-11-00449.1.

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Abstract Sea ice variability over the Barents Sea with its resultant atmospheric response has been considered one of the triggers of unexpected downstream climate change. For example, East Asia has experienced several major cold events while the underlying temperature over the Arctic has risen steadily. To understand the influence of sea ice in the Barents Sea on atmospheric circulation during winter from a synoptic perspective, this study evaluated the downstream response in cyclone activities with respect to the underlying sea ice variability. The composite analysis, including all cyclone ev

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Bazilchuk, Nancy. "Barents Sea at Risk." Frontiers in Ecology and the Environment 2, no. 8 (2004): 397. http://dx.doi.org/10.2307/3868418.

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Lien, Vidar S., and Alexander G. Trofimov. "Formation of Barents Sea Branch Water in the north-eastern Barents Sea." Polar Research 32, no. 1 (2013): 18905. http://dx.doi.org/10.3402/polar.v32i0.18905.

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Egorova, E. S., and Y. U. Mironov. "Ice age composition in the Barents sea." Arctic and Antarctic Research 68, no. 3 (2022): 216–33. http://dx.doi.org/10.30758/0555-2648-2022-68-3-216-233.

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The paper presents the key results of investigating Barents Sea ice age composition during the winter season, from the beginning of ice formation in October to its termination in May. To analyze the seasonal and interannual changes in the amount of ice of different age categories, we used ice charts for the Barents Sea for the period 1997–2021, produced by the Arctic and Antarctic Research Institute. The age composition of the ice cover in the Barents Sea is represented by seven standard ice categories (thickness ranges). The areas of ice of different age categories were calculated for a ten-d

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Hunt, George L., and Bernard A. Megrey. "Comparison of the biophysical and trophic characteristics of the Bering and Barents Seas." ICES Journal of Marine Science 62, no. 7 (2005): 1245–55. http://dx.doi.org/10.1016/j.icesjms.2005.04.008.

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Abstract The eastern Bering Sea and the Barents Sea share a number of common biophysical characteristics. For example, both are seasonally ice-covered, high-latitude, shelf seas, dependent on advection for heat and for replenishment of nutrients on their shelves, and with ecosystems dominated by a single species of gadoid fish. At the same time, they differ in important respects. In the Barents Sea, advection of Atlantic Water is important for zooplankton vital to the Barents Sea productivity. Advection of zooplankton is not as important for the ecosystems of the southeastern Bering Sea, where

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Mikhaylova, Tatiana A. "A comprehensive bibliography, updated checklist, and distribution patterns of Rhodophyta from the Barents Sea (the Arctic Ocean)." Botanica Marina 64, no. 3 (2021): 211–20. http://dx.doi.org/10.1515/bot-2021-0011.

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Abstract A lot of data on the flora of the Barents Sea are scattered in Russian publications and thus are largely inaccessible to many researchers. The study aims to compile a checklist and to verify the species composition of the Rhodophyta of the Barents Sea. The checklist is based on a comprehensive bibliographic study referring to a wide range of data on the species distribution, from the oldest to the most recent, indispensable for analyzing the temporal variability of the Barents Sea flora. A careful revision allows the report of 82 species of Rhodophyta, whereas 36 species have been exc

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Genelt-Yanovskiy, Evgeny, Yixuan Li, Ekaterina Stratanenko, et al. "Phylogeography of the Brittle Star Ophiura sarsii Lütken, 1855 (Echinodermata: Ophiuroidea) from the Barents Sea and East Atlantic." Diversity 13, no. 2 (2021): 40. http://dx.doi.org/10.3390/d13020040.

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Ophiura sarsii is a common brittle star species across the Arctic and Sub-Arctic regions of the Atlantic and the Pacific oceans. Ophiurasarsii is among the dominant echinoderms in the Barents Sea. We studied the genetic diversity of O.sarsii by sequencing the 548 bp fragment of the mitochondrial COI gene. Ophiurasarsii demonstrated high genetic diversity in the Barents Sea. Both major Atlantic mtDNA lineages were present in the Barents Sea and were evenly distributed between the northern waters around Svalbard archipelago and the southern part near Murmansk coast of Kola Peninsula. Both region

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Chatterjee, Sourav, Tido Semmler, James Screen, et al. "Atmosphere–Ocean–Sea Ice Feedbacks Sustain Recent Barents Sea Ice Loss despite Cooler Atlantic Water Inflow." Journal of Climate 37, no. 24 (2024): 6519–32. http://dx.doi.org/10.1175/jcli-d-24-0020.1.

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Abstract Winter sea ice cover has declined faster in the northern Barents Sea (NBS) than in the rest of the Arctic Ocean. One of the key elements controlling sea ice extent in the NBS is the inflow of warm and saline Atlantic water (AW) through the Barents Sea Opening. We show that despite a pronounced decadal variability in the AW temperature with a cooling trend since the mid-2000s, sea ice in the NBS continues to decline. We find that the sea ice decline is partly caused by reduced oceanic heat loss in the southern Barents Sea (SBS) and subsequent transport of warmer AW downstream to the NB

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Siegert, Martin J., and Julian A. Dowdeswell. "Numerical Modeling of the Late Weichselian Svalbard-Barents Sea Ice Sheet." Quaternary Research 43, no. 1 (1995): 1–13. http://dx.doi.org/10.1006/qres.1995.1001.

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AbstractPrevious reconstructions of the ice cover of the Svalbard-Barents Sea region during the late Weichselian have ranged from small ice masses on Svalbard to complete inundation of the Barents Shelf region by an ice sheet several kilometers thick. We have used a time-dependent finite-difference numerical model to undertake a new glaciological reconstruction for the Svalbard-Barents Sea Ice Sheet over the last 30,000 yr. The numerical model requires environmental forcing functions in the form of air temperature and precipitation and their behavior with respect to altitude, together with sea

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Klitzke, P., J. I. Faleide, M. Scheck-Wenderoth, and J. Sippel. "A lithosphere-scale structural model of the Barents Sea and Kara Sea region." Solid Earth Discussions 6, no. 2 (2014): 1579–624. http://dx.doi.org/10.5194/sed-6-1579-2014.

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Abstract. The Barents Sea and Kara Sea region as part of the European Arctic shelf, is geologically situated between the Proterozoic East-European Craton in the south and early Cenozoic passive margins in the north and the west. Proven and inferred hydrocarbon resources encouraged numerous industrial and academic studies in the last decades which brought along a wide spectrum of geological and geophysical data. By evaluating all available interpreted seismic refraction and reflection data, geological maps and previously published 3-D-models, we were able to develop a new lithosphere-scale 3-D-

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Cai, Ziyi, Qinglong You, Hans W. Chen, et al. "Amplified wintertime Barents Sea warming linked to intensified Barents oscillation." Environmental Research Letters 17, no. 4 (2022): 044068. http://dx.doi.org/10.1088/1748-9326/ac5bb3.

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Abstract In recent decades, the Barents Sea has warmed more than twice as fast as the rest of the Arctic in winter, but the exact causes behind this amplified warming remain unclear. In this study, we quantify the wintertime Barents Sea warming (BSW, for near-surface air temperature) with an average linear trend of 1.74 °C decade−1 and an interdecadal change around 2003 based on a surface energy budget analysis using the ERA5 reanalysis dataset from 1979–2019. Our analysis suggests that the interdecadal change in the wintertime near-surface air temperature is dominated by enhanced clear-sky do

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Smedsrud, L. H., R. Ingvaldsen, J. E. Ø. Nilsen, and Ø. Skagseth. "Heat in the Barents Sea: transport, storage, and surface fluxes." Ocean Science 6, no. 1 (2010): 219–34. http://dx.doi.org/10.5194/os-6-219-2010.

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Abstract. A column model is set up for the Barents Sea to explore sensitivity of surface fluxes and heat storage from varying ocean heat transport. Mean monthly ocean transport and atmospheric forcing are synthesised and force the simulations. Results show that by using updated ocean transports of heat and freshwater the vertical mean hydrographic seasonal cycle can be reproduced fairly well. Our results indicate that the ~70 TW of heat transported to the Barents Sea by ocean currents is lost in the southern Barents Sea as latent, sensible, and long wave radiation, each contributing 23–39 TW t

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Faust, Johan C., Mark A. Stevenson, Geoffrey D. Abbott, et al. "Does Arctic warming reduce preservation of organic matter in Barents Sea sediments?" Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2181 (2020): 20190364. http://dx.doi.org/10.1098/rsta.2019.0364.

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Over the last few decades, the Barents Sea experienced substantial warming, an expansion of relatively warm Atlantic water and a reduction in sea ice cover. This environmental change forces the entire Barents Sea ecosystem to adapt and restructure and therefore changes in pelagic–benthic coupling, organic matter sedimentation and long-term carbon sequestration are expected. Here we combine new and existing organic and inorganic geochemical surface sediment data from the western Barents Sea and show a clear link between the modern ecosystem structure, sea ice cover and the organic carbon and Ca

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Istomin, Eugene, Yaroslav Petrov, Irma Martyn, Valery Abramov, and Natalia Yagotinceva. "Variability of the ice area and the possibility of achieving an ice-free regime in the Barents Sea." E3S Web of Conferences 378 (2023): 05002. http://dx.doi.org/10.1051/e3sconf/202337805002.

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The results of the analysis of the interannual variability of the Barents Sea ice area, including trends in the area of sea ice distribution for the period 1979-2018 based on remote sensing data, are presented. The analysis of trends is based on a dimensionless trend index, which allows comparing different areas of sea ice distribution. Estimates of the Barents Sea ice-free regime in January and August are presented on the basis of extrapolation of trends for the period 1979-2018. The ice-free regime of the Barents Sea in January is expected in 2055, in August - 2026.

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Lien, Vidar S., Pawel Schlichtholz, Øystein Skagseth, and Frode B. Vikebø. "Wind-Driven Atlantic Water Flow as a Direct Mode for Reduced Barents Sea Ice Cover." Journal of Climate 30, no. 2 (2017): 803–12. http://dx.doi.org/10.1175/jcli-d-16-0025.1.

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Variability in the Barents Sea ice cover on interannual and longer time scales has previously been shown to be governed by oceanic heat transport. Based on analysis of observations and results from an ocean circulation model during an event of reduced sea ice cover in the northeastern Barents Sea in winter 1993, it is shown that the ocean also plays a direct role within seasons. Positive wind stress curl and associated Ekman divergence causes a coherent increase in the Atlantic water transport along the negative thermal gradient through the Barents Sea. The immediate response connected to the

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Klitzke, P., J. I. Faleide, M. Scheck-Wenderoth, and J. Sippel. "A lithosphere-scale structural model of the Barents Sea and Kara Sea region." Solid Earth 6, no. 1 (2015): 153–72. http://dx.doi.org/10.5194/se-6-153-2015.

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Abstract. We introduce a regional 3-D structural model of the Barents Sea and Kara Sea region which is the first to combine information on the sediments and the crystalline crust as well as the configuration of the lithospheric mantle. Therefore, we have integrated all available geological and geophysical data, including interpreted seismic refraction and reflection data, seismological data, geological maps and previously published 3-D models into one consistent model. This model resolves four major megasequence boundaries (earliest Eocene, mid-Cretaceous, mid-Jurassic and mid-Permian) the top

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Krasnov, Yu V., and A. V. Ezhov. "DESTRUCTION OF GUILLEMOT COLONIES IN THE SOUTHERN BARENTS SEA AND THE FACTORS THAT DETERMINE IT." Зоологический журнал 102, no. 5 (2023): 572–80. http://dx.doi.org/10.31857/s0044513423050070.

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Features of Common guillemot (Uria aalge) and Brünnich’s guillemot (U. lomvia) numbers dynamics have been analyzed based on long-term monitoring data obtained from colonies from the southern Barents Sea coast. Since the 2000s, the numbers of guillemots in colonies have been shown to gradually decrease. In 2019–2021, most of the guillemot colonies of the southern Barents Sea coast disappeared. Two factors have been found to affect the guillemot colonies’ dynamics in the last decades: fishing industry and change in oceanographic conditions. These two factors indirectly influence the guillemot po

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Golikov, Alexey V., Rushan M. Sabirov, and Pavel A. Lubin. "First assessment of biomass and abundance of cephalopods Rossia palpebrosa and Gonatus fabricii in the Barents Sea." Journal of the Marine Biological Association of the United Kingdom 97, no. 8 (2016): 1605–16. http://dx.doi.org/10.1017/s0025315416001004.

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Studies on the quantitative distribution of cephalopods in the Arctic are limited, and almost completely absent for the Barents Sea. It is known that the most abundant cephalopods in the Arctic are Rossia palpebrosa and Gonatus fabricii. Their biomass and abundance have been assessed for the first time in the Barents Sea and adjacent waters. The maximum biomass of R. palpebrosa in the Barents Sea was 6.216–6.454 thousand tonnes with an abundance of 521.5 million specimens. Increased densities of biomass were annually registered in the north-eastern parts of the Barents Sea. The maximum biomass

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Yang, Xiao-Yi, and Xiaojun Yuan. "The Early Winter Sea Ice Variability under the Recent Arctic Climate Shift." Journal of Climate 27, no. 13 (2014): 5092–110. http://dx.doi.org/10.1175/jcli-d-13-00536.1.

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This study reveals that sea ice in the Barents and Kara Seas plays a crucial role in establishing a new Arctic coupled climate system. The early winter sea ice before 1998 shows double dipole patterns over the Arctic peripheral seas. This pattern, referred to as the early winter quadrupole pattern, exhibits the anticlockwise sequential sea ice anomalies propagation from the Greenland Sea to the Barents–Kara Seas and to the Bering Sea from October to December. This early winter in-phase ice variability contrasts to the out-of-phase relationship in late winter. The mean temperature advection and

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Svetochev, Vladislav Nikolaevich, Nikolay Nikolaevich Kavtsevich, and Olga Nagimovna Svetocheva. "Satellite tagging and seasonal distribution of harp seal (juveniles) of the w hite sea-Barents sea stock." Czech Polar Reports 6, no. 1 (2016): 31–42. http://dx.doi.org/10.5817/cpr2016-1-4.

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Harp seal pups (4 ind.) were caught and marked with satellite telemetry transmitters (STT) in the White Sea in March-April 2010, the average tenure of STT was 226 ± 51.7 (103.6) days. In April the seals on the growth stage of "beater" left the White Sea on the drifting ice. In the Barents Sea the seals migrated north through the eastern part of the Barents Sea. Seals came to the northernmost point of their migration route, i.e. edge of the pack ice in the August – October period. One seal came out to the Greenland Sea. Seals’ return migration was in winter along the Novaya Zemlya to the south-

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Årthun, Marius, Tor Eldevik, and Lars H. Smedsrud. "The Role of Atlantic Heat Transport in Future Arctic Winter Sea Ice Loss." Journal of Climate 32, no. 11 (2019): 3327–41. http://dx.doi.org/10.1175/jcli-d-18-0750.1.

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Abstract During recent decades Arctic sea ice variability and retreat during winter have largely been a result of variable ocean heat transport (OHT). Here we use the Community Earth System Model (CESM) large ensemble simulation to disentangle internally and externally forced winter Arctic sea ice variability, and to assess to what extent future winter sea ice variability and trends are driven by Atlantic heat transport. We find that OHT into the Barents Sea has been, and is at present, a major source of internal Arctic winter sea ice variability and predictability. In a warming world (RCP8.5)

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Sumkina, A. A., K. K. Kivva, V. V. Ivanov, and A. V. Smirnov. "Seasonal ice removal in the Barents Sea and its dependence on heat advection by Atlantic waters." Fundamental and Applied Hydrophysics 15, no. 1 (2022): 82–97. http://dx.doi.org/10.59887/fpg/1krp-xbuk-6gpz.

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The Barents Sea is one of the key areas in the Arctic for monitoring of climate change. Although the Barents Sea is one of the Arctic seas, it is never completely covered with ice. One of the parameters characterizing the change in the ice regime is the date of ice retreat (DOR). The study is based on ice concentration data from the NOAA / NSIDC Climate Data Record (CDR) from 1979 to 2019 and the GLORYS12V1 ocean reanalysis data from 1993 to 2019. The analysis of the spatial and temporal variability of DOR for the Barents Sea using the HDBSCAN cluster analysis method made it possible to identi

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Bakanev, S. V., and V. A. Pavlov. "Comparative Analysis of Morphometric and Reproductive Parameters of Snow Crab (<i>Chionoecetes opilio</i>) of the Kara and Barents Seas." Океанология 63, no. 5 (2023): 762–72. http://dx.doi.org/10.31857/s0030157423050039.

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The paper presents a comparative analysis of size and reproductive parameters of snow crab in the Barents and Kara Seas, estimated in the period 2005–2019. In the Kara Sea, females reach maturity when their carapace width (CW) is over 30 mm, and the carapace width at 50% maturation is 38 mm. In the Barents Sea, female crabs reach functional maturity when their CW 35 mm, and the carapace width at 50% maturation is significantly higher compared to the Kara Sea and is equal to 51 mm. The fecundity of individuals of the same size, caught in the Kara Sea, is slightly lower than the fecundity of ind

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Grushevskaya, O. V., A. V. Soloviev, E. A. Vasilyeva, et al. "Tectonics of the Continental Barents Sea Shelf (Russia): Formation Stages of Basement and Sedimentary Cover." Геотектоника, no. 6 (November 1, 2023): 43–77. http://dx.doi.org/10.31857/s0016853x23060048.

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Based on the results of field complex geophysical studies in the northwestern part of the Russian sector of the Barents Sea shelf, as well as on the processing and comprehensive interpretation of new and retrospective geophysical materials in the volume of 25 500 linear kilometers and deep well drilling data in the section of the Barents Sea sedimentary cover identified regional tectonostratigraphic units: (i) Paleozoic complex (between reflecting horizons VI(PR? ) and I2(P‒T)); (ii) the Triassic complex (between reflecting horizons I2(P‒T) and B(T‒J)); (iii) the Jurassic complex (between refl

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Smolyar, I., and N. Adrov. "The quantitative definition of the Barents Sea Atlantic Water: mapping of the annual climatic cycle and interannual variability." ICES Journal of Marine Science 60, no. 4 (2003): 836–45. http://dx.doi.org/10.1016/s1054-3139(03)00071-7.

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Abstract The Barents Sea Atlantic Water (AW) is defined in eight different ways in the literature. These definitions can be consolidated into one statement (decision rule) that allows the separation of the AW of the Barents Sea from the rest of the water masses there. The decision rule defines AW as a straight-line function of temperature and salinity and non-Atlantic Water and Mixed Water by their proximity to AW on a temperature–salinity diagram. This rule is used to map the monthly-mean distribution of AW in the Barents Sea at 0, 30, 50 and 100 m depths. These maps demonstrate two stable se

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Rodríguez, Nicolás J. I. "Bilateral Approach to Ecosystem-Based Marine Management in the Barents Sea." Journal of Northern Studies 4, no. 2 (2011): 79–106. http://dx.doi.org/10.36368/jns.v4i2.640.

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In 2006 the Government of Norway presented a marine management plan for the Norwegian part of the Barents Sea, and a Northern strategy was introduced as a supportive regional instrument. For the first time the method of ecosystem approach is applied in a Norwegian context as a principle in the Barents Sea plan. The main elements of the plan consist of ecosystem indicators, management goals and planning maps indicating biologically vulnerable areas where petroleum activity cannot be performed. An important question is the relation between the plan and existing management regimes in laws and thr

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Belchansky, Gennady I., Ilia N. Mordvintsev, Gregory K. Ovchinnikov, and David C. Douglas. "Assessing trends in Arctic sea-ice distribution in the Barents and Kara seas using the Kosmos–Okean satellite series." Polar Record 31, no. 177 (1995): 129–34. http://dx.doi.org/10.1017/s0032247400013620.

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AbstractTrends in the annual minimum sea-ice extent, determined by three criteria (absolute annual minimum, minimum monthly mean, and the extent at the end of August), were investigated for the Barents and western Kara seas and adjacent parts of the Arctic Ocean during 1984–1993. Four definitions of ice extent were examined, based on thresholds of ice concentration: >90%, >70%, >40%, and >10% (El, E2, E3, and E4, respectively). Trends were studied using ice maps produced by the Russian Hydro-Meteorological Service, Kosmos and Okean satellite imagery, and data extracted from publish

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Watelet, Sylvain, Øystein Skagseth, Vidar S. Lien, et al. "A volumetric census of the Barents Sea in a changing climate." Earth System Science Data 12, no. 4 (2020): 2447–57. http://dx.doi.org/10.5194/essd-12-2447-2020.

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Abstract. The Barents Sea, located between the Norwegian Sea and the Arctic Ocean, is one of the main pathways of the Atlantic Meridional Overturning Circulation. Changes in the water mass transformations in the Barents Sea potentially affect the thermohaline circulation through the alteration of the dense water formation process. In order to investigate such changes, we present here a seasonal atlas of the Barents Sea including both temperature and salinity for the period 1965–2016. The atlas is built as a compilation of datasets from the World Ocean Database, the Polar Branch of the Russian

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Kalavichchi, K. A., and I. L. Bashmachnikov. "On the mechanism of a positive feedback in long-term variations of the convergence of oceanic and atmospheric heat fluxes, and the ice cover in the Barents sea." Известия Российской академии наук. Физика атмосферы и океана 55, no. 6 (2019): 171–81. http://dx.doi.org/10.31857/s0002-3515556171-181.

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This paper presents a study the interannual variability of the convergence oceanic and atmospheric advective heat fluxes in the Barents Sea region for 19932014, using combined in situ, satellite and numerical model-based oceanic and atmospheric data-sets: ARMOR-3D and ERA-Interim. On inter-decadal scales, the leading role of convergence of the oceanic heat flux, and on interannual scale of atmospheric heat flux are demonstrated to play the leading role in variations of the sea-ice area of the Barents Sea. The inter-decadal and the interannual variations of the oceanic heat flux are found to be

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Kirstine Frie, Anne, Vladimir A. Potelov, Michael C. S. Kingsley, and Tore Haug. "Trends in age-at-maturity and growth parameters of female Northeast Atlantic harp seals, Pagophilus groenlandicus (Erxleben, 1777)." ICES Journal of Marine Science 60, no. 5 (2003): 1018–32. http://dx.doi.org/10.1016/s1054-3139(03)00123-1.

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Abstract We analyzed and compared trends in age-at-maturity and body growth in the Greenland Sea and Barents Sea stocks of harp seals, Pagophilus groenlandicus, from the early 1960s to the early 1990s. Mean and median age at sexual maturity (MAMPM and MdAM) were estimated from Richards curves fit to age-specific proportions mature. No long-term trends were found in the Greenland Sea seals, where a common value of MAMPM (5.6 years) and MdAM (4.8 years) could be fit to samples from 1959 through 1990. There were also no significant changes in length-at-age of molting females between 1964 and 1987

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Egorova, E. S., N. A. Lis, and Ye U. Mironov. "Drivers of interannual variations of ice age composition in sub-areas of the Barents Sea." Arctic and Antarctic Research 69, no. 3 (2023): 290–309. http://dx.doi.org/10.30758/0555-2648-2023-69-3-290-309.

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The present study deals with assessing the impact of the factors that define the interannual variations of ice area of different age categories in the Barents Sea. For the analysis, a set of hydrometeorological and ice parameters was created, potentially influencing the age composition of the sea ice cover. Among these are the climate indices of the Arctic Oscillation, the Arctic Dipole, the Pacific-North American Oscillation, the North Atlantic Oscillation and the Atlantic Multidecadal Oscillation, as well as the surface air temperature, the ice cover in the previous months and the ice outflo

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Svendsen, Kristoffer. "The Impact of Choice-of-Law Rules in Cross-Border Pollution Damage Caused by Petroleum Spills from Offshore Rigs and Installations: The Case of the Barents Sea." Yearbook of Polar Law Online 8, no. 1 (2017): 163–86. http://dx.doi.org/10.1163/22116427_008010010.

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The article examines the impact of choice-of-law rules in cross-border pollution damage caused by petroleum spills from offshore rigs and installations in the Barents Sea. Norway and Russia share the Barents Sea, and the ocean currents go from West to East. Therefore, the article examines the impact of an oil spill from a Norwegian licensee on the Norwegian side of the Barents Sea on a Russian party harmed by the spill on the Russian side of the Barents Sea. The article shows the procedural hurdles a Russian harmed party would need to jump in order to access Norwegian courts. The question of v

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