Temat: interannual variability - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Some results of three-year investigations on the interannual variability of the Norwegian-Barents confluence zone
Autorzy:: Druet, Czesław
Jankowski, Andrzej
Powiązania:: https://bibliotekanauki.pl/articles/2052782.pdf
Data publikacji:: 1992
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: Arctic
Norwegian-Barents Seas
confluence zone
interannual variability
water and heat exchage
Źródło:: Polish Polar Research; 1992, 13, 1; 3-17
0138-0338
2081-8262
Pojawia się w:: Polish Polar Research
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

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

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Skocz do pozycji: 3.

Tytuł:: Characteristics and inter-annual changes in temperature, salinity and density distribution in the Gulf of Riga
Autorzy:: Skudra, M.
Lips, U.
Powiązania:: https://bibliotekanauki.pl/articles/48540.pdf
Data publikacji:: 2017
Wydawca:: Polska Akademia Nauk. Instytut Oceanologii PAN
Tematy:: Riga Gulf
interannual variability
long-term change
temperature
salinity
density
Baltic Sea
vertical stratification
internal Rossby radius
Opis:: Available CTD profiles from the Gulf of Riga (May—August, 1993—2012) were analyzed to study inter-annual and long-term changes in temperature, salinity and density in relation to river runoff and atmospheric forcing (e.g. Baltic Sea Index). To describe temporal changes in vertical stratification, the upper mixed layer (UML) and deep layer (DL) parameters were estimated. On average the UML depth increases from 8.7 m in May to 9.0, 11.5 and 13.7 m in June, July and August, respectively, and the UML temperature increases from 8.08C to 12.5, 18.7 and 18.68C (May, June, July and August) while the UML salinity increases from 4.90 g kg1 to 5.14, 5.28 and 5.38 g kg1, respectively. High correlation (r = 0.82) was found between the inter-annual changes in river runoff (spring) and mean salinity in the UML in August as well as between DL mean salinity (r = 0.88) and density (r = 0.84) in the Irbe Strait and DL mean salinity and density in the Gulf of Riga. Inter-annual changes in the UML depth as well as in DL salinity and density had a significant correlation with the changes in Baltic Sea Index. The strongest stratification (August) can be observed in the years with the highest UML temperature and the highest river run-off in spring. We suggest that the predicted increase in water temperature and changes in river run-off due to the climate change would result in faster development of the seasonal thermocline in spring and stronger vertical stratification in summer.
Źródło:: Oceanologia; 2017, 59, 1
0078-3234
Pojawia się w:: Oceanologia
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Effects of global climate oscillations on intermonthly to interannual variability of sea levels along the English Channel Coasts (NW France)
Autorzy:: Turki, I.
Massei, N.
Laignel, B.
Shafiei, H.
Powiązania:: https://bibliotekanauki.pl/articles/2079277.pdf
Data publikacji:: 2020
Wydawca:: Polska Akademia Nauk. Instytut Oceanologii PAN
Tematy:: sea level
interannual variability
storm
atmospheric circulation
climatic oscillation
sea surface temperature
sea level pressure
North Atlantic oscillation
English Channel
Opis:: This work examines the multiscale variability in sea level along the English Channel coasts (NW France) using a wavelet multiresolution decomposition of water level values and climate oscillations in order to gain insights in the connection between the global atmospheric circulation and the local-scale variability of the monthly extreme surges. Changes in surges have exhibited different oscillatory components from the intermonthly (~3–6-months) to the interannual scales (~1.5-years, ~2–4-years, ~5–8-years) with mean explained variances of ~40% and ~25% of the total variability respectively. The correlation between the multiresolution components of surges and 28 exceptional stormy events with different intensities has revealed that energetic events are manifested at all timescales while moderate events are limited to short scales. By considering the two hypotheses of (1) the physical mechanisms of the atmospheric circulation change according to the timescales and (2) their connection with the local variability improves the prediction of the extremes, the multiscale components of the monthly extreme surges have been investigated using four different climate oscillations (Sea Surface Temperature (SST), Sea-Level Pressure (SLP), Zonal Wind (ZW), and North Atlantic Oscillation (NAO)); results show statistically significant correlations with ~3–6-months, ~1.5-years, ~2–4-years, and ~5–8-years, respectively. Such physical links, from global to local scales, have been considered to model the multiscale monthly extreme surges using a time-dependent Generalized Extreme Value (GEV) distribution. The incorporation of the climate information in the GEV parameters has considerably improved the fitting of the different timescales of surges with an explained variance higher than 30%. This improvement exhibits their nonlinear relationship with the large-scale atmospheric circulation.
Źródło:: Oceanologia; 2020, 62, 2; 226-242
0078-3234
Pojawia się w:: Oceanologia
Dostawca treści:: Biblioteka Nauki