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  1. 26 Oceanologia

  2. 1 Baltic Coastal Zone. Journal of Ecology and Protection of the Coastline

  3. 1 Oceanological and Hydrobiological Studies

Autorzy help

  1. 3 Lehmann A.

  2. 3 Shaltout M.

  3. 3 Stramska M.

  4. 2 Myrberg K.

  5. 2 Wang Y.-S.

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  1. 2 2021

  2. 2 2020

  3. 2 2019

  4. 1 2018

  5. 4 2017

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1
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Indian Ocean wind speed variability and global teleconnection patterns

100%
Sinha M., Jha S., Chakraborty P.
Oceanologia
|
2020
|
tom 62
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nr 2
2
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Recent sea surface temperature trends and future scenarios for the Red Sea

86%
Shaltout M.
Oceanologia
|
2019
|
tom 61
|
nr 4
3
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Upwelling dynamics in the Baltic Sea studied by a combined SAR-infrared satellite data and circulation model analysis

86%
Gurova E., Lehmann A., Ivanov A.
Oceanologia
|
2013
|
tom 55
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nr 3
4
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Validation and statistical analysis of the group for high resolution sea surface temperature data in the Arabian Gulf

86%
Nesterov O., Temimi M., Fonseca R., Nelli N. R., Addad Y., Bosc E., Abida R.
Oceanologia
|
2021
|
tom 63
|
nr 4
5
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Spatial and temporal variability of sea surface temperature in the Baltic Sea based on 32-years (1982–2013) of satellite data

86%
Stramska M., Bialogrodzka J.
Oceanologia
|
2015
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tom 57
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nr 3
6
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Spatio-temporal variability of the phytoplankton biomass in the Levantine basin between 2002 and 2015 using MODIS products

86%
El Hourany R., Fadel A., Gemayel E., Abboud-Abi Saab M., Faour G.
Oceanologia
|
2017
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tom 59
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nr 2
The Levantine basin in the Eastern Mediterranean Sea is subject to spatial and seasonal variations in primary production and physical-chemical properties both on a short and long-term basis. In this study, the monthly means of daily MODIS product images were averaged between 2002 and 2015, and used to characterize the phytoplankton blooms in different bioregions of the Levantine basin. The selected products were the sea surface temperature (SST), the chlorophyll-a concentration (Chl-a), the diffuse attenuation coefficient for downwelling irradiance at 490 nm (Kd_490) and the colored dissolved organic matter index (CDOM_ index). Our results showed that phytoplankton blooms were spatially and temporally variable. They occurred in late autumn at the Nile Delta, in early spring and late summer at the eastern coastline, and in spring at the northeastern coastline. The northern coastline and the open water had a common bloom occurring in winter. The Nile Delta was found to be the most productive area of the Levantine basin showing high Chl-a. Kd_490 and Chl-a present a parallel co-variation indicating a dominance of Case 1 waters in the Levantine basin. The CDOM_index shows a phase shift with the Chl-a fluctuation. A strong inverse correlation was observed between both Chl-a and CDOM_index with SST, connoting an indirect relation represented by a depression of CDOM in summer by photobleaching, and a suppression of the chlorophyll-a concentration due to water stratification, together with nutrient stress. An overestimation of the Chl-a values had been signaled by the use of the CDOM_index, suggesting a correction plan in a latter study.
7
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Mixing characteristics of the subarctic front in the Kuroshio-Oyashio confluence region

72%
Ke-Lan Z., Xi C., Ke-Feng M., Dong H., Sen H., Yan L.
Oceanologia
|
2019
|
tom 61
|
nr 1
8
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Dynamic features of successive upwelling events in the Baltic Sea - a numerical case study

72%
Myrberg K., Andrejev O., Lehmann A.
Oceanologia
|
2010
|
tom 52
|
nr 1
77-99
Coastal upwelling often reveals itself during the thermal stratification season as an abrupt sea surface temperature (SST) drop. Its intensity depends not only on the magnitude of an upwelling-favourable wind impulse but also on the temperature stratification of the water column during the initial stage of the event. When a ‘chain’ of upwelling events is taking place, one event may play a part in forming the initial stratification for the next one; consequently, SST may drop significantly even with a reduced wind impulse. Two upwelling events were simulated on the Polish coast in August 1996 using a three-dimensional, baroclinic prognostic model. The model results proved to be in good agreement with in situ observations and satellite data. Comparison of the simulated upwelling events show that the first one required a wind impulse of 28 000 kg m−1 s−1 to reach its mature, full form, whereas an impulse of only 7500 kg m−1 s−1 was sufficient to bring about a significant drop in SST at the end of the second event. In practical applications like operational modelling, the initial stratification conditions prior to an upwelling event should be described with care in order to be able to simulate the coming event with very good accuracy.
9
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Comparison of primary productivity estimates in the Baltic Sea based on the DESAMBEM algorithm with estimates based on other similar algorithms

72%
Stramska M., Zuzewicz A.
Oceanologia
|
2013
|
tom 55
|
nr 1
10
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Effects of global climate oscillations on intermonthly to interannual variability of sea levels along the English Channel Coasts (NW France)

72%
Turki I., Massei N., Laignel B., Shafiei H.
Oceanologia
|
2020
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tom 62
|
nr 2
11
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Spatial and interannual variations of seasonal sea surface temperature patterns in the Baltic Sea

72%
Bradtke K., Herman A., Urbanski J. A.
Oceanologia
|
2010
|
tom 52
|
nr 3
345-362
On the basis of monthly averaged satellite data, this study examined how the annual cycle of the Baltic Sea surface temperature (SST) varied spatially and temporally during the period 1986–2005. We conclude that there are two main thermal seasons in the Baltic Sea separated only by short transitional periods – spring lasting about one month, and autumn lasting two months. Generally speaking, summer covers the part of the year from June to October with the highest monthly mean SST in August. Winter, with a minimum monthly mean SST in February in shallow waters or in March in deeper areas, lasts from December to April. As a result of climate changes over the Baltic Sea region, strong positive trends in SST occur in the summer months. In consequence, the period with extremely high sea surface water temperatures has become slightly longer in the central Baltic. In the last decade winter changes in SST display zero or even negative tendencies. The investigated period was characterized by an annual increase in mean temperatures of about 0.03–0.07◦C. However, the rates of monthly mean SST changes were sometimes more than three times as high.
12
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Demonstration of a new indicator for studying upwelling in the Northern South China Sea

72%
Lin L., Wang Y.-S., Sun C.-C., Li N., Wang H., Mitchell B. G., Wu M.-L., Song H., Wu J.-F.
Oceanologia
|
2011
|
tom 53
|
nr 2
In order to demonstrate that silicate (SiO3-Si) can be used as an indicator to study upwelling in the northern South China Sea, hierarchical cluster analysis (CA) and principle component analysis (PCA) were applied to analyse the metrics of the data consisting of 14 physical-chemical-biological parameters at 32 stations. CA categorized the 32 stations into two groups (low and high nutrient groups). PCA was applied to identify five Principal Components (PCs) explaining 78.65% of the total variance of the original data. PCA found important factors that can describe nutrient sources in estuarine, upwelling, and non-upwelling areas. PC4, representing the upwelling source, is strongly correlated to SiO3-Si. The spatial distribution of silicate from the surface to 200 m depth clearly showed the upwelling regions, which is also supported by satellite observations of sea surface temperature.
13
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Sea surface temperature retrieval from MSG-SEVIRI data in the Baltic Sea area

72%
Wozniak M., Krezel A.
Oceanologia
|
2010
|
tom 52
|
nr 3
331-344
The aim of the paper was to confirm the proposition that the classical SST algorithms MCSST and NLSST originally prepared for AVHRR data could also be used for Meteosat/SEVIRI data with satisfactory accuracy in the mid-latitude region, where the spatial resolution is about 7×7 km. The research was performed in the southern Baltic Sea (between 13◦E 53◦N and 21◦E 58◦N). Data were collected in all the seasons of 2007. The coefficients were found by means of regression analysis. SSTs determined on the basis of AVHRR data were used in the regression analysis instead of in situ data. A set of paired AVHRR and SEVIRI images spaced no more than 8 minutes apart were compared. The results show that the method is capable of producing sea surface temperatures with a statistical error (standard deviation) of 1◦C.
14
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Recent sea surface temperature trends and future scenarios for the Mediterranean Sea

72%
Shaltout M., Omstedt A.
Oceanologia
|
2014
|
tom 56
|
nr 3
15
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Modeling the ecosystem response to summer coastal upwelling in the Northern South China Sea

72%
Jiang R., Wang Y.-S.
Oceanologia
|
2018
|
tom 60
|
nr 1
A coupled three-dimensional physical model and a nitrogen-based nutrient, phytoplankton, zooplankton, and detritus (NPZD) ecosystem model were applied to simulate the summer coastal upwelling system over the continental shelf of northern South China Sea (NSCS) and its impact on hydrographic conditions and ecosystem. The simulated results were comprehensively validated against field and satellite measurements. The model results show that the near shore ecosystem of NSCS has significant responses to the summer coastal upwelling system. The Shantou Coast to the Nanri Islands of Fujian province (YD) and the east of the Leizhou Peninsula (QD) are two main regions affected by NSCS summer coast upwelling. During summer, these two coastal areas are characterized by nearshore cold and high salinity upwelling current. Further, the summer coastal upwelling serves as a perfect nutrient pump, which lifts up and advects nutrient-rich current from deep to surface, from inner shelf to about 30 km outer shelf. This nutrient source reaches its maximum in the middle of July and then begins to decrease. However, the maximum phytoplankton and chlorophyll a do not coincide with the maximum nutrients and delay for about 10 days. Because of the intensive seasonal thermocline and the complicated current transporting through Qiongzhou strait, the ecological responding of QD is less pronounced than YD. This study has a better understanding of the physically modulated ecological responses to the NSCS summer coastal upwelling system.
16
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A statistical approach to coastal upwelling in the Baltic Sea based on the analysis of satellite data for 1990–2009

72%
Lehmann A., Myrberg K., Hoflich K.
Oceanologia
|
2012
|
tom 54
|
nr 3
A statistical analysis of Baltic Sea upwelling has been carried out to cover, for the first time, the entire sea area for the period 1990–2009. Weekly composite SST maps based on NOAA/AVHRR satellite data were used to evaluate the location and frequency of upwelling. The results obtained were analysed and compared with earlier studies with excellent agreement. Our study enables the most intense upwelling areas in the entire Baltic Sea to be evaluated. According to the analysis of 443 SST maps, the most common upwelling regions are found off the Swedish south and east coasts (frequency 10–25%), the Swedish coast of the Bothnian Bay (16%), the southern tip of Gotland (up to 15%), and the Finnish coast of the Gulf of Finland (up to 15%). Pronounced upwelling also occurs off the Estonian coast and the Baltic east coast (up to 15%), the Polish coast and the west coast of Rugen (10–15%); otherwise the upwelling frequency was between 5 and 10%. Additionally, simulated SST distributions derived from a Baltic Sea numerical model were analysed for the same period. Furthermore, at specific positions close to the coastline, surface winds based on the SMHI meteorological data base were analysed for the same 20-year period. Wind components parallel to the coast were discriminated into favourable and unfavourable winds forcing upwelling. The obtained frequencies of upwelling-favourable winds fit very well the observed upwelling frequencies derived from satellite SST maps. A positive trend of upwelling frequencies along the Swedish east coast and the Finnish coast of the Gulf of Finland was calculated for the period 1990–2009.
17
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Influence of the parametrization of water optical properties on the modelled sea surface temperature in the Baltic Sea

72%
Stramska M., Zuzewicz A.
Oceanologia
|
2013
|
tom 55
|
nr 1
18
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Microplankton size structure induced by a warm-core eddy in the Western Bay of Bengal: Role of Trichodesmium abundance

72%
Chinnadurai K., Retnamma J., Nagarathinam A., Subramanian P. R., Singaram P., Shoba S.
Oceanologia
|
2021
|
tom 63
|
nr 3
19
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Svalbard as a study model of future High Arctic coastal environments in a warming world

72%
Piskozub J.
Oceanologia
|
2017
|
tom 59
|
nr 4
Svalbard archipelago, a high latitude area in a region undergoing rapid climate change, is relatively easily accessible for field research. This makes the fjords of Spitsbergen, its largest island, some of the best studied Arctic coastal areas. This paper aims at answering the question of how climatically diverse the fjords are, and how representative they are for the expected future Arctic diminishing range of seasonal sea-ice. This study uses a meteorological reanalysis, sea surface temperature climatology, and the results of a recent one-year meteorological campaign in Spitsbergen to determine the seasonal differences between different Spitsbergen fjords, as well as the sea water temperature and ice ranges around Svalbard in recent years. The results show that Spitsbergen fjords have diverse seasonal patterns of air temperature due to differences in the SST of the adjacent ocean, and different cloudiness. The sea water temperatures and ice concentrations around Svalbard in recent years are similar to what is expected most of the Arctic coastal areas in the second half of this century. This makes Spitsbergen a unique field study model of the conditions expected in future warmer High Arctic.
20

Chlorophyll distribution by oceanic model and satellite data in the Bay of Bengal and Andaman Sea

72%
Suwannathatsa S., Wongwises P.
Oceanological and Hydrobiological Studies
|
2013
|
tom 42
|
nr 2
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