• 대기
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• 제24권2호
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• pp.131-140
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• 2014

The "Barents Oscillation (BO)", first designated by Paul Skeie (2000), is an anomalous recurring atmospheric circulation pattern of high relevance for the climate of the Nordic Seas and Siberia, which is defined as the second Emperical Orthogonal Function (EOF) of monthly winter sea level pressure (SLP) anomalies, where the leading EOF is the Arctic Oscillation (AO). BO, however, did not attracted much interest. In recent two decades, variability of BO tends to increase. In this study, we analyzed the spatio-temporal structures of Atmospheric internal modes such as Arctic Oscillation (AO) and Barents Oscillation (BO) and examined how these are related with Arctic warming in recent decade. We identified various aspects of BO, not dealt in Skeie (2000), such as upper-level circulation and surface characteristics for extended period including recent decade and examined link with other surface variables such as sea-ice and sea surface temperature. From the results, it was shown that the BO showed more regionally confined spatial pattern compared to AO and has intensified during recent decade. The regional dipolelar structure centered at Barents sea and Siberia was revealed in both sea-level pressure and 500 hPa geopotential height. Also, BO showed a stronger link (correlation) with sea-ice and sea surface temperature especially over Barents-Kara seas suggesting it is playing an important role for recent Arctic amplification. BO also showed high correlation with Ural Blocking Index (UBI), which measures seasonal activity of Ural blocking. Since Ural blocking is known as a major component of Eurasian winter monsoon and can be linked to extreme weathers, we suggest deeper understanding of BO can provide a missing link between recent Arctic amplification and increase in extreme weathers in midlatitude in recent decades.

• 환경생물
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• 제21권4호
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• pp.392-399
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• 2003

The spatial distribution and composition of the mesozooplankton community in the southeastern Barents Sea were observed at 17 stations, from 12 to 28 July 2002. Six taxa of zooplankton were found, including tintinnids, copepods, cumaceans, appendicularians, polychaetes, and barnacle larvae. Copepods were dominant, comprising 74% of the community. The copepod species Limnocalanus grimaldii, Pseudocalanus acuspes, Calanus glacialis, Calanus finmarchicus, and Microsetella norvegica, and the cumacean species Diastylis rathkei and Campylaspis rubicunda were identified. The overall mean abundance of the zooplankton was 72 indiv.l0 $\mu \textrm m^{-3}$ in the study area, ranging from 4 to 197 indiv.l0$\mu \textrm m^{-3}$. Zooplankton was more abundant at the oceanic than the coastal stations. The highest biomass measured was 97.4mg $\mu \textrm m^{-3}$, the mean biomass was 36.9 mg 10$\mu \textrm m^{-3}$, 93% of which was copepods. Pseudocalanus acuspes, C. glacialis, and C. finmarchicus predominated, accounting for 61% of abundance and 86% of biomass. Spatial distributions of the zooplankton community in the study area depended on the variations in water temperature and salinity, which were influenced by freshwater runoff from the continent.

• 한국해양공학회지
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• 제34권1호
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• pp.26-36
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• 2020

An extreme value analysis of metocean data which include wave, wind, and current data is a prerequisite for the operation and survival of offshore structures. The purpose of this study was to provide information about the return wave, wind, and current values for the Barents Sea using extreme value analysis. Hindcast datasets of the Global Reanalysis of Ocean Waves 2012 (GROW2012) for a waves, winds and currents were obtained from the Oceanweather Inc. The Gumbel distribution, 2 and 3 parameters Weibull distributions and log-normal distribution were used for the extreme value analysis. The least square method was used to estimate the parameters for the extreme value distribution. The return values, including the significant wave height, spectral peak wave period, wind speed and current speed at surface, were calculated and it will be utilized to design offshore structures to be operated in the Barents Sea.

• Ocean and Polar Research
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• 제25권3호
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• pp.315-329
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• 2003

During the 1st Korea-Russia Arctic Expedition from 3 to 26 August, 2000 phytoplankton biomass and nutrient concentration were measured in the Barents and Kara Seas. Total of 57 surface samples were collected f3r the phytoplankton related measurements. Chlorophyll a (chi a) concentraitons were measured to investigate the relations between physico-chemical factors and phytoplankton biomass distribution. Chl a values ranged from 0.14 to $2.34mg\;m^{-3}$ (mean of $0.65{\pm}0.42mg\;m^{-3}$) over the surface stations. The elevated values of the chi a concentrations $(1.49{\sim}2.34mg\;m^{-3})$ were found in the southeastern Barents Sea near the Pechora River. Nanoplanktonic $(<20{\mu}m)$ phytoflagellates were the important contributors for the increase of the chi a. The nano-sized phytoflagellates accounted for more than 80% of the total chi a biomass in the study area. Mean chi a concentration in the Barents Sea $(0.72{\pm}0.57 mg\;m^{-3})$ was higher than in the Kan Sea $(0.52{\pm}0.45mg\;m^{-3})$, but there was no big difference between two areas. Surface temperatures and salinities ranged from 4.1 to $11.7^{\circ}C$ (mean of $8.8{\pm}1.9^{\circ}C$) and from 23.8 to 32.5psu (mean of $30.3{\pm}1.9^{\circ}C$ psu), respectively. The physical factors were not highly correlated with phytoplankton distribution. It is speculated that the insignificant correlation between phytoplankton biomass and physical factor was due to the same current which introduced similar water mass with higher water temperature and lower salinity into the study area. The mean values of major nutrients such as ammonia, nitrite, nitrate, phosphate, and silicate were $0.42{\pm}0.31{\mu}M,\;0.10{\pm}0.03{\mu}M,\;1.44{\pm}1.03{\mu}M,\;0.35{\pm}0.12{\mu}M,\;10.99{\pm}3.45{\pm}M$, respectively. The relations between phytoplankton biomass and nutrient concentration were not close, indicating that the surface nutrient concentrations during the study seem to be controlled by other physical factors such as input of fresh water (i.e. dilution effects).

• 한국제4기학회지
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• 제22권2호
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• pp.47-47
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• 2008

• 대한원격탐사학회지
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• 제17권4호
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• pp.297-305
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• 2001

Ocean satellite altimetry-implied free-air gravity anomalies have had the shortest wavelengths removed during the processing to generate the optimal solution between multiple radar altimeter missions. ERS-1 168day mission altimetry was residualized to a reference geoid surface generated by integrating Anderson & Knudsen’s free-air gravity anomalies for the Barents Sea. The altimetry tracks were reduced and filtered to extract the shortest wavelengths (between 4 and 111 km) from both ascending and descending tracks, respectively. These data were recombined using existing quadrant-swapping techniques in the wavenumber domain to generate a correlated, high frequency gravity field related to the local geologic sources. This added-value surface adjusted the reference free-air gravity anomalies to better reflect features in the gravity field at a wavelength related to the distance between altimetry ground tracks.

• 연구논문집
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• 통권28호
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• pp.111-121
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• 1998

Offshore of Sakhalin Island is one of potential oil and gas development fields in Russia. American and Japanese companies are actively participating in the developments. They plan to export the produced oil and gas to East Asia including Korea, Japan and China. So far, offshore oil and gas field developments are mainly concentrated in the Russian Arctic area such as Barents Sea, Kara Sea and Tinman-Pechora Sea. In this article, the projects under development on the Sakhalin Shelf are reviewed and the environmental conditions in this area are summarized. At the end, the future prospects of the Sakhalin developments are reviewed.

• 환경생물
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• 제23권3호
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• pp.257-268
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• 2005

북극해에서 해류나 담수의 영향으로 해양환경의 변화가 생기는 지역에 서식하는 중형저서생물의 군집구조를 파악하기 위해 2002년 7월 바렌츠해 동부 러시아 연안의 페초라해 6개 정점, 2002년 8월 스발바드섬의 킹스베이 내만 5개 정점에서 저서시료를 채집하였다. 페초라해에서는 총 8개의 분류군이 출현하였으며 출현한 중형저서생물의 총 개체수는 $245\~906indiv.10cm^{-2}$의 범위로 평균 580indiv.10$cm^{-2}$로 나타났으며 총 생물량은 $21\~404{\mu}gC10cm^{-2}$의 범위로 평균 $184{\mu}gC10cm^{-2}$로 나타났다. 선형동물이 개체수와 생물량에서 각각 $95.2\%$와 $66.4\%$를 나타내어 가장 우점하는 분류군으로 나타났으며 요각류와 다모류 그리고 육질편모충류가 그 다음으로 나타났다. 킹스베이에서는 총 9개의 분류군이 나타났으며 총 개체수는 $103\~513 indiv.10cm^{-2}$의 범위로 평균 $292indiv.10cm^{-2}$로 나타났다. 총 생물량은 $13\~176{\mu}gC10cm^{-2}$의 범위로 평균 $94{\mu}gC10cm^{-2}$로 나타났다. $94.1\%$의 개체수와 $64.3\%$의 생물량을 나타낸 선형동물이 가장 우점하는 분류군으로 나타났으며 요각류, 빈모류, 다모류 그리고 동문동물이 그 뒤를 이었다. 바렌츠해와 킹스베이의 평균 개체수는 일반적으로 천해역에서 나타나는 개체수 수치보다 낮은 수치를 나타냈다. 또한 일반적으로 출현하는 분류군 수에 비해 반수정도 출현하여 극지 환경에 적응한 특정분류군 만이 서식하고 있음을 확인할 수 있었다. 바렌츠해에서는 주변 해류의 흐름에 영향을 덜 받는 지역에서 높은 개체수와 생물량 그리고 다양도 지수와 풍부도가 나타났으며 담수의 유입에 따라 직접적인 영향을 받는 지역에서는 모든 값이 낮게 나타났다. 킹스베이의 경우 정점에 따라서 군집구조의 차이가 크게 나타냈는데 이는 물리적인 환경요인 보다는 클로로필과 같은 잠재적인 먹이원과 관련 이 있을 것으로 보인다.

• Ocean and Polar Research
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• 제27권3호
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• pp.265-276
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• 2005

In order to grasp the structure and dynamics of phytoplankton communities, chlorophyll-a (Chl-a) and cell abundance were measured at 20 stations during the period from August 9 to August 21, 2003 in the southeastern Barents Sea on surface and subsurface chlorophyll maximum depth (SCM). Surface temperatures were varied from minimum $-0.7^{\circ}C(st. 18)$ to maximum $10.4^{\circ}C(st.1)$. Salinities were varied from minimum 29.9 psu(st. 18) to maximum 35.8 psu(st.2). The maximum nutrient(phosphate, nitrate, silicate) concentrations were $0.12{\mu}M,\;0.11{\mu}M,\;7.53{\mu}M$ and minimum concentrations were $0.01{\mu}M,\;0.03{\mu}M,\;1.43{\mu}M$, respectively. On SCM physical environmental factor were almost similar. Chl-a concentrations ranged from 0.23 to $2.13{\mu}g\;chi-a\;l^{-1}$ at SCM. Nano- and pico phytoplankton were the important contributors for increase of the Chl-a. It was about seven times difference between highest concentration to lowest. Phytoplankton communities were composed of diatoms, dinoflagellates, cryptophyceae, silicoflagellate, and prymnesiophyceae showing 37 taxa at surface and 38 taxa at SCM. Picophytoplankton was the most dominant in all stations and all layers, but the second groups were 2 and/or 3 taxa. Phytoplankton abundance ranged from minimum $4.3{\times}10^5\;cells\;l^{-1}$ (st. 20) to maximum $2.4{\times}10^6\;cells\;l^{\-1}$. (st. 17) at surface water. As a result, phytoplankton might be controlled by physical factors such as North Atlantic ocean currents and northern melt water among environmental factors in Barents Set h addition the dominant species were nano- and pico phytoplankton such as Phaeocystis, Cryptomonas and Dinobryon in the study area.

• 대한조선학회 특별논문집
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• 대한조선학회 2009년도 특별논문집
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• pp.6-17
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• 2009

The present paper addresses development of a GTT NO96 membrane type 170K m3 LNG carrier targeted to operate in moderate ice infested seas including Baltic Sea, Sakhalin port of Sea of Okhotsk, Murmansk port of Barents Sea, etc. Critical design issues are covered in detail to meet the requirements coming from the missioned operation conditions comprising low design ambient temperature, harsh wave conditions, stringent environmental protection policies, etc.