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    Wyświetlanie 1-7 z 7
    Tytuł:
    Regional algorithms for the estimation of chlorophyll and suspended matter concentration in the Gulf of Finland from MODIS-Aqua satellite data
    Autorzy:
    Vazyulya, S.
    Khrapko, A.
    Kopelevich, O.
    Burenkov, V.
    Eremina, T.
    Isaev, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/48343.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    Finland Gulf
    satellite data
    algorithm
    chlorophyll
    suspended matter
    MODIS-Aqua data
    remote sensing
    Źródło:
    Oceanologia; 2014, 56, 4
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Surface layer desalination of the bays on the east coast of Novaya Zemlya identified by shipboard and satellite data
    Autorzy:
    Glukhovets, D.I.
    Goldin, Y.A.
    Powiązania:
    https://bibliotekanauki.pl/articles/48910.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    surface layer
    desalination
    salinity
    fluorescence
    Kara Sea
    Novaya Zemlya Archipelago
    satellite data
    Źródło:
    Oceanologia; 2019, 61, 1
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Surface desalinated layer distribution in the Kara Sea determined by shipboard and satellite data
    Autorzy:
    Glukhovets, D.L.
    Goldin, Y.A.
    Powiązania:
    https://bibliotekanauki.pl/articles/2079196.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    surface layer
    desalination
    satellite data
    coloured dissolved organic matter
    interannual variability
    Kara Sea
    Opis:
    This study reports the propagation dynamics of the Kara Sea surface desalinated layer (SDL) during the summer and autumn seasons. We analysed shipboard measurements data collected in 2013–2018 and MODIS ocean colour data that correlated with the shipboard ones. We formulated a comparatively strict criterion to determine the SDL border based on satellite data. For that, we analyzed the shipboard flow-through measuring system data obtained while crossing the surface desalinated layer border. Further, we used a regional algorithm to process the satellite data and estimate the coloured dissolved organic matter absorption coefficient for the Kara Sea. The results demonstrate a significant effect of the wind regime on the interseasonal and interannual variability of the transformation of the SDL boundaries. The positions of the surface desalinated layer boundaries at different times during 2013–2018 are given. The obtained results are important for calculating the heat balance and analyzing the Kara Sea bio-productivity.
    Źródło:
    Oceanologia; 2020, 62, 3; 364-373
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Satellite estimates of the long-term trend in phytoplankton size classes in the coastal waters of North-Western Bay of Bengal
    Autorzy:
    Miranda, J.
    Lotliker, A.A.
    Baliareingh, S.K.
    Jena, A.K.
    Samanta, A.
    Sahu, K.C.
    Kumar, T.S.
    Powiązania:
    https://bibliotekanauki.pl/articles/2079007.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    phytoplankton
    size class
    coastal water
    long-term variability
    satellite data
    statistical analysis
    Bengal Bay
    Opis:
    The study presents long-term variability in satellite retrieved phytoplankton size classes (PSC) at two coastal sites, off Gopalpur and Visakhapatnam, in the north-western Bay of Bengal. The abundance-based models by Brewin et al. (2010) (B10) and Sahay et al. (2017) (S17), for retrieval of PSC (micro, nano, and picophytoplankton), from satellite data, were validated. Both the models performed well in the retrieval of nano and microphytoplankton. However, B10 performed poorly in retrieving picophytoplankton. The statistical analysis indicated better performance of the S17 model and hence was applied to Moderate Resolution Imaging Spectroradiometer onboard Aqua satellite (MODISA) data to understand the temporal (at monthly climatology) and spatial variability (from nearshore to offshore). The spatial distribution indicated nearshore dominance of micro and offshore dominance of picophytoplankton. In nearshore waters off Gopalpur, microphytoplankton dominated throughout the year except for months of south-west monsoon (June and July) where the dominance of picophytoplankton was observed. All PSC exhibited similar distribution at an annual scale with a primary peak during pre-monsoon (March and April) and a secondary peak during post-monsoon (September— November). However, microphytoplankton concentration during post-monsoon was higher off Gopalpur in comparison to Visakhapatnam. The higher microphytoplankton concentration during pre-monsoon was attributed to recurrent phytoplankton blooms. Whereas, post-monsoon increment could be attributed to enhanced phytoplankton growth by availing nutrients sourced from monsoonal precipitation induced terrigenous influx. The outcome of the present study recommends the use of the S17 model for satellite retrieval of PSC from the north-western Bay of Bengal.
    Źródło:
    Oceanologia; 2021, 63, 1; 40-50
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Spatial and temporal variability of sea surface temperature in the Baltic Sea based on 32-years (1982–2013) of satellite data
    Autorzy:
    Stramska, M.
    Bialogrodzka, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/48273.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    satellite data
    sea surface temperature
    Baltic Sea
    annual cycle
    climate change
    spatial variability
    temporal variability
    Źródło:
    Oceanologia; 2015, 57, 3
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A statistical approach to coastal upwelling in the Baltic Sea based on the analysis of satellite data for 1990–2009
    Autorzy:
    Lehmann, A.
    Myrberg, K.
    Hoflich, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/49090.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    Baltic Sea
    coastal upwelling
    sea surface temperature
    statistical analysis
    numerical model
    1990-2009 period
    meteorological data
    satellite data
    Opis:
    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.
    Źródło:
    Oceanologia; 2012, 54, 3
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Assimilation of the satellite SST data in the 3D CEMBS model
    Autorzy:
    Nowicki, A.
    Dzierzbicka-Glowacka, L.
    Janecki, M.
    Kalas, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/47919.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    satellite data
    assimilation
    marine ecosystem
    Baltic Sea
    ecosystem model
    3D CEMBS model
    operational oceanography
    hydrodynamic parameter
    biochemical parameter
    Źródło:
    Oceanologia; 2015, 57, 1
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-7 z 7

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