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    Wyświetlanie 1-6 z 6
    Tytuł:
    Longwave radiation budget at the Baltic Sea surface from satellite and atmospheric model data
    Autorzy:
    Zapadka, T.
    Krezel, A.
    Wozniak, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/47597.pdf
    Data publikacji:
    2008
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    air temperature
    sea surface
    heat budget
    Baltic Sea
    temporal analysis
    spatial analysis
    long-wave radiation
    cloud cover
    model data
    Opis:
    The net longwave radiation flux LW↑↓ in the Baltic Sea in 2001 has been subjected to spatial and temporal analysis. Maps of the mean monthly LW↑↓ over the Baltic were drawn using the new semi-empirical formula for the Baltic Sea (Zapadka et al. 2007). The input data for the formula, such as sea surface and air temperatures, and cloud cover, were obtained from the Tiros N/NOAA and METEOSAT 7 satellites and from the UMPLfo recast model (see http://meteo.icm.edu.pl). The mean annual LW↑↓ for 2001 was estimated at 63 W m−2 and compared with available data from other sources. The monthly maps of the net flux LW↑↓ over the Baltic show that the total values reach a minimum (LW↑↓≈50 W m−2) in April, September, October and a maximum (LW↑↓≈80 W m−2) in November. The statistical error of daily maps, on which the monthly maps were based, is no more than 18 W m−2.
    Źródło:
    Oceanologia; 2008, 50, 2; 147-166
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Demonstration of a new indicator for studying upwelling in the Northern South China Sea
    Autorzy:
    Lin, L.
    Wang, Y.-S.
    Sun, C.-C.
    Li, N.
    Wang, H.
    Mitchell, B.G.
    Wu, M.-L.
    Song, H.
    Wu, J.-F.
    Powiązania:
    https://bibliotekanauki.pl/articles/48889.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    China Sea
    cluster analysis
    multivariate statistical analysis
    principal component analysis
    remote sensing
    satellite monitoring
    sea surface temperature
    silicate
    spatial distribution
    upwelling
    Opis:
    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.
    Źródło:
    Oceanologia; 2011, 53, 2
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Grain-size characteristics and net transport patterns of surficial sediments in the Zhejiang nearshore area, East China Sea
    Autorzy:
    Liang, J.
    Liu, J.
    Xu, G.
    Chen, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/48661.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    grain size
    analysis
    spatial variation
    sediment transport
    dynamic environment
    Zhejiang province
    nearshore area
    China Sea
    Źródło:
    Oceanologia; 2020, 62, 1
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The response of cyclonic eddies to typhoons based on satellite remote sensing data for 2001-2014 from the South China Sea
    Autorzy:
    Yu, F.
    Yang, Q.
    Chen, G.
    Li, Q.
    Powiązania:
    https://bibliotekanauki.pl/articles/48316.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    satellite remote sensing
    tropical cyclone
    kinetic energy
    typhoon
    spatial distribution
    quantitative analysis
    South China Sea
    Źródło:
    Oceanologia; 2019, 61, 2
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The role of the spatial resolution of a three-dimensional hydrodynamic model for marine transport risk assessment
    Autorzy:
    Andrejev, O.
    Soomere, T.
    Sokolov, A.
    Myrberg, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/48522.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    2C map
    anthropogenic pressure
    Baltic Sea
    environment risk
    environmental management
    Finland Gulf
    hydrodynamic model
    marine transport
    maritime spatial planning
    OAAS model
    pollution
    spatial resolution
    statistical analysis
    three-dimensional hydrodynamic model
    Opis:
    The paper addresses the sensitivity of a novel method for quantifying the environmental risks associated with the current-driven transport of adverse impacts released from offshore sources (e.g. ship traffic) with respect to the spatial resolution of the underlying hydrodynamic model. The risk is evaluated as the probability of particles released in different sea areas hitting the coast and in terms of the time after which the hit occurs (particle age) on the basis of a statistical analysis of large sets of 10-day long Lagrangian trajectories calculated for 1987–1991 for the Gulf of Finland, the Baltic Sea. The relevant 2D maps are calculated using the OAAS model with spatial resolutions of 2, 1 and 0.5 nautical miles (nm) and with identical initial, boundary and forcing conditions from the Rossby Centre 3D hydrodynamic model (RCO, Swedish Meteorological and Hydrological Institute). The spatially averaged values of the probability and particle age display hardly any dependence on the resolution. They both reach almost identical stationary levels (0.67–0.69 and ca 5.3 days respectively) after a few years of simulations. Also, the spatial distributions of the relevant fields are qualitatively similar for all resolutions. In contrast, the optimum locations for fairways depend substantially on the resolution, whereas the results for the 2 nm model differ considerably from those obtained using finer-resolutionmodels. It is concluded that eddy-permitting models with a grid step exceeding half the local baroclinic Rossby radius are suitable for a quick check of whether or not any potential gain from this method is feasible, whereas higher-resolution simulations with eddy-resolving models are necessary for detailed planning. The asymptotic values of the average probability and particle age are suggested as an indicator of the potential gain from the method in question and also as a new measure of the vulnerability of the nearshore of water bodies to offshore traffic accidents.
    Źródło:
    Oceanologia; 2011, 53, (1-TI)
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Sea surface temperature retrieval from MSG-SEVIRI data in the Baltic Sea area
    Autorzy:
    Wozniak, M.
    Krezel, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/47694.pdf
    Data publikacji:
    2010
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    sea surface temperature
    Baltic Sea
    algorithm
    mid-latitude region
    spatial resolution
    regression analysis
    surface temperature
    marine environment
    climate change
    Opis:
    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.
    Źródło:
    Oceanologia; 2010, 52, 3; 331-344
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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