Method application of optimal multi-parameter analysis to assess the distribution of water masses as an example of CTD data of the Barents Sea in summer 2017

2019 ◽  
pp. 38-51
Author(s):  
Valeriy G. Yakubenko ◽  
Anna L. Chultsova
Keyword(s):  
Barents Sea ◽  
Field Measurements ◽  
Structural Similarity ◽  
Water Masses ◽  
Parameter Analysis ◽  
Water Dynamics ◽  
Phosphorus Concentration ◽  
Nitrogen And Phosphorus ◽  
The Barents Sea ◽  
Expert Assessments

Identification of water masses in areas with complex water dynamics is a complex task, which is usually solved by the method of expert assessments. In this paper, it is proposed to use a formal procedure based on the application of the method of optimal multiparametric analysis (OMP analysis). The data of field measurements obtained in the 68th cruise of the R/V “Academician Mstislav Keldysh” in the summer of 2017 in the Barents Sea on the distribution of temperature, salinity, oxygen, silicates, nitrogen, and phosphorus concentration are used as a data for research. A comparison of the results with data on the distribution of water masses in literature based on expert assessments (Oziel et al., 2017), allows us to conclude about their close structural similarity. Some differences are related to spatial and temporal shifts of measurements. This indicates the feasibility of using the OMP analysis technique in oceanological studies to obtain quantitative data on the spatial distribution of different water masses.

scholarly journals On the diversity of settlements of the bivalve mollusk Macoma calcarea (Bivalvia,Tellinidae) off the coast of Novaya Zemlya.

2020 ◽  
Vol 11 (5-2020) ◽  
pp. 116-125
Author(s):  
A.E. Noskovich ◽  
Keyword(s):  
High Mortality ◽  
Barents Sea ◽  
Bivalve Mollusk ◽  
Water Masses ◽  
High Biomass ◽  
Size Classes ◽  
Novaya Zemlya ◽  
The Barents Sea ◽  
Group I ◽  
Silty Soils

In the eastern part of the Barents Sea, there are 3 types of settlements of the bivalve mollusk Macoma calcarea. At low positive temperatures (from 0.6 to 1.3 оC),juveniles predominate on sandy-silty soils in settlements with low biomass, uneven growth and high mortality. In colder water masses (–0.4...–1.5 оC), M. calcareasettlements consist of long-lived, evenly growing large individuals that form high biomass values. In the settlement of group I, there was an increased elimination of certain size classes. The distribution of settlements depends little on the depth and salinity.

Do abiotic mechanisms determine interannual variability in length-at-age of juvenile Arcto-Norwegian cod?

2002 ◽  
Vol 59 (1) ◽  
pp. 57-65 ◽  
Author(s):  
Geir Ottersen ◽  
Kristin Helle ◽  
Bjarte Bogstad
Keyword(s):  
Growth Rates ◽  
Gadus Morhua ◽  
Barents Sea ◽  
Water Masses ◽  
Inverse Relation ◽  
Lower Growth ◽  
Density Dependent ◽  
The Barents Sea ◽  
The Mean ◽  
Dependent Growth

For the large Arcto-Norwegian stock of cod (Gadus morhua L.) in the Barents Sea, year-to-year variability in growth is well documented. Here three hypotheses for the observed inverse relation between abundance and the mean length-at-age of juveniles (ages 1–4) are suggested and evaluated. Based on comprehensive data, we conclude that year-to-year differences in length-at-age are mainly determined by density-independent mechanisms during the pelagic first half year of the fishes' life. Enhanced inflow from the southwest leads to an abundant cohort at the 0-group stage being distributed farther east into colder water masses, causing lower postsettlement growth rates. We can not reject density-dependent growth effects related to variability in food rations, but our data do not suggest this to be the main mechanism. Another hypothesis suggests that lower growth rates during periods of high abundance are a result of density-dependent mechanisms causing the geographic range of juveniles to extend eastwards into colder water masses. This is rejected mainly because year-to-year differences in mean length are established by age 2, which is too early for movements over large distances.

Satellite altimetry of the Barents sea

2021 ◽  
pp. 194-212
Author(s):  
S.A. Lebedev ◽  
◽  
A.G. Kostianoy ◽  
S.K. Popov ◽  
◽  
...  
Keyword(s):  
Sea Level ◽  
Satellite Altimetry ◽  
Average Velocity ◽  
Barents Sea ◽  
Water Dynamics ◽  
Altimetry Data ◽  
The Barents Sea ◽  
Time Period ◽  
Ice Edge ◽  
Edge Displacement

Satellite altimetry data are used for investigation of the sea level variability and sea ice cover retreat in the Barents Sea in 1992−2018. The data from ERS−1/2, ENVISAT, SARAL/AltiKa, and Sentinel-3A/3B satellites were used in this study. An increasing trend of the sea level of about 2.31 mm/yr was observed in this time period, which caused a total increase in the Barents Sea level by about 6 cm. Linear trends of the sea level change varied from 1.84 mm/yr in July to 4.29 mm/yr in September. The average velocity of the ice edge retreat along the tracks in the northeastern direction is of 10.9 km/yr for the same period. It was found that the ice edge displacement rate tends to increase by 0.30 km/yr per a degree in longitude in the eastward direction. Thus, the ice edge retreat along the “eastern” tracks goes faster than along the “western” ones, which is likely explained by a change in the water dynamics in the Barents Sea.

scholarly journals Bryozoa of the northern part of Barents Sea: species composition, distribution, ecology (based on the materials of expeditions MMBI 2016–2017).

2020 ◽  
Vol 11 (5-2020) ◽  
pp. 50-67
Author(s):  
O.Yu. Evseeva ◽  
Keyword(s):  
Species Composition ◽  
Environmental Conditions ◽  
Barents Sea ◽  
Water Masses ◽  
Bottom Relief ◽  
Composition Distribution ◽  
Related Factors ◽  
The Barents Sea ◽  
Distribution Features ◽  
Quantitative Indicators

The modern data about fauna of Bryozoa in the northern part of Barents Sea are obtained. The taxonomic and biogeographic composition, distribution features of bryozoan communities, and their quantitative indicators are analyzed. 124 Bryozoa species are identified in the samples, one of which (Uschakovia gorbunoviKluge, 1946) is a new for the Barents Sea fauna. It was found that the richness of the bryozoan fauna is determined by the variety of environmental conditions and depends on the bottom relief (and related factors: soil, hydrodynamic intensity and sedimentation) and the parameters of water masses.

scholarly journals The Barents Sea frontal zones and water masses variability (1980–2011)

Ocean Science ◽  
2016 ◽  
Vol 12 (1) ◽  
pp. 169-184 ◽  
Author(s):  
L. Oziel ◽  
J. Sirven ◽  
J.-C. Gascard
Keyword(s):  
Interannual Variability ◽  
Barents Sea ◽  
Sea Water ◽  
Atlantic Water ◽  
Polar Front ◽  
Water Masses ◽  
The Arctic ◽  
Arctic Water ◽  
The Barents Sea ◽  
Frontal Zones

Abstract. The polar front separates the warm and saline Atlantic Water entering the southern Barents Sea from the cold and fresh Arctic Water located in the north. These water masses can mix together (mainly in the center of the Barents Sea), be cooled by the atmosphere and receive salt because of brine release; these processes generate dense water in winter, which then cascades into the Arctic Ocean to form the Arctic Intermediate Water. To study the interannual variability and evolution of the frontal zones and the corresponding variations of the water masses, we have merged data from the International Council for the Exploration of the Sea and the Arctic and Antarctic Research Institute and have built a new database, which covers the 1980–2011 period. The summer data were interpolated on a regular grid. A probability density function is used to show that the polar front splits into two branches east of 32° E where the topographic constraint weakens. Two fronts can then be identified: the Northern Front is associated with strong salinity gradients and the Southern Front with temperature gradients. Both fronts enclose the denser Barents Sea Water. The interannual variability of the water masses is apparent in the observed data and is linked to that of the ice cover. The frontal zones variability is found by using data from a general circulation model. The link with the atmospheric variability, represented here by the Arctic Oscillation, is not clear. However, model results suggest that such a link could be validated if winter data were taken into account. A strong trend appears: the Atlantic Water (Arctic Water) occupies a larger (smaller) volume of the Barents Sea. This trend amplifies during the last decade and the model study suggests that this could be accompanied by a northwards displacement of the Southern Front in the eastern part of the Barents Sea. The results are less clear for the Northern Front. The observations show that the volume of the Barents Sea Water remains nearly unchanged, which suggests a northwards shift of the Northern Front to compensate for the northward shift of the Southern Front. Lastly, we noticed that the seasonal variability of the position of the front is small.

scholarly journals Applying the δ18O Parameter for Evaluating of Organic Matter Production-destruction Processes in the Barents Sea

2020 ◽  
Author(s):  
Alexey Namyatov ◽  
Ivan Pastukhov ◽  
Irina Semeruk
Keyword(s):  
Barents Sea ◽  
Atlantic Water ◽  
Water Masses ◽  
Background Concentration ◽  
Organic Matter Production ◽  
The Barents Sea ◽  
Matter Production ◽  
The Difference ◽  
System 1 ◽  
Mixing Water

The authors present the determination method of nutrient’s background concentration in the seawater. In this work, as a basis for the proposed method, we use a three-component system [1-6, 10, 11, 12, 13] for mixing water masses in the Barents Sea based on the parameter δ18О. Simple mixing of purely Atlantic water masses and purely river water masses, as well as ice formation and melting processes, were taken into account. The authors suppose that the background concentration is a concentration that changes only as a result of water transformation, such as melting and freezing. The authors consider background concentration of phosphates, nitrates and silicates for the Barents Sea calculated from previously collected data. The difference between measured and background concentrations indicates the production or destruction process of organic matters. If the results are positive - there is destruction; if negative, there is - production. The data for δ18О, salinity, phosphates, nitrates, and silicates that were used in this study were taken from an open-source database published on the NASA website and in our own collection. Samples were taken in the summer.

scholarly journals Satellite Altimetry of Sea Level and Ice Cover in the Barents Sea

2019 ◽  
Vol 25 ◽  
pp. 26-35
Author(s):  
Sergey A. Lebedev ◽  
Andrey G. Kostianoy ◽  
Sergey K. Popov
Keyword(s):  
Sea Level ◽  
Satellite Altimetry ◽  
Barents Sea ◽  
Ice Cover ◽  
Water Dynamics ◽  
The Barents Sea ◽  
Time Period ◽  
Ice Edge ◽  
Edge Displacement ◽  
Satellite Altimetry Data

Satellite altimetry data are used for investigation of the sea level variability and sea ice cover retreat in the Barents Sea in 1992-2018. The data from ERS − 1/2, ENVISAT, SARAL/AltiKa, and Sentinel-3A/3B satellites were used in this study. An increasing trend of the sea level of about 2.31 mm/yr was observed in this time period, which caused a total increase in the Barents Sea level by about 6 cm. Linear trends of the sea level change varied from 1.84 mm/yr in July to 4.29 mm/yr in September. The average velocity of the ice edge retreat along the tracks in the northeastern direction is of 10.9 km/yr for the same period. It was found that the ice edge displacement rate tends to increase by 0.30 km/yr per a degree in longitude in the eastward direction. Thus, the ice edge retreat along the “eastern” tracks goes faster than along the “western” ones, which is likely explained by a change in the water dynamics in the Barents Sea.

Review of the Barents sea hydrological conditions

2021 ◽  
pp. 153-166
Author(s):  
S.V. Pisarev ◽  
Keyword(s):  
Large Scale ◽  
Barents Sea ◽  
Bottom Topography ◽  
Water Masses ◽  
The Barents Sea ◽  
Frontal Zones ◽  
Ice Conditions ◽  
The Many ◽  
Seasonal And Interannual Variations ◽  
Distribution Water

Based on more than 50 works published during the period 1946−2019, the chapter gives an overview of current ideas about bottom topography, large-scale circulation, currents and tides, water flows across borders, temperature and salinity distribution, water masses, frontal zones, seasonal and interannual variations in hydrological characteristics, stratification and ice conditions of the Barents Sea. Among the many classifications of water masses of the sea, the review gives preference to the most consistent and reasonable classification proposed by V. Ozhigin and V. Ivshin in 1999.

Biooptical characteristics and solar radiation in the surface layer of the Barents sea

2021 ◽  
pp. 236-245
Author(s):  
O.V. Kopelevich ◽  
◽  
S.V. Vazyulya ◽  
I.V. Saling ◽  
◽  
...  
Keyword(s):  
Surface Layer ◽  
Solar Radiation ◽  
Interannual Variability ◽  
Barents Sea ◽  
Field Measurements ◽  
Optical Characteristics ◽  
Optical Parameters ◽  
Seasonal And Interannual Variability ◽  
The Barents Sea ◽  
Made In

The data on the calculation of bio-optical parameters in the Barents Sea are presented, for which regional algorithms have been developed. These algorithms were derived on the basis of field measurements made in the region under consideration. The seasonal and interannual variability of bio-optical characteristics was studied and coccolithophore blooms in the Barents Sea were evaluated.

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