Chlorophyll a variability in the north-western Black Sea under the present climate conditions

by

N.F. Kyrylenko1, V.P. Evstigneev1,2

1Sevastopol Center for Hydrometeorology and Environmental Monitoring, Russian Federation, Sevastopol, Sovetskaya St., 61

E-mail: kyrylenkonatalya@gmail.com

2Federal State Educational Institution of Higher Education «Sevastopol State University», Russian Federation, Sevastopol, Universitetskaya St., 33

E-mail: vald_e@rambler.ru

DOI: 10.33075/2220-5861-2017-4-80-87

UDC 528.88:551.46

Abstract:

   A variability of chlorophyll a in surface layer of the north-western Black sea under the influence of hydrometeorological factors in the present climate conditions have been studied using available data of satellite soundings for the period of 1997–2015.

Keywords: chlorophyll a, satellite data, pattern gap filling, Black sea.

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LIST OF REFERENCES

  1. Suslin V.V., Churilova T.Ja., Sosik H.M. Regional’nyj algoritm rascheta koncentracii hlorofilla a v Chernom more po sputnikovym dannym SeaWiFS. Morskoj jekologicheskij zhurnal. 2008. Vol. 7. No 2. pp. 24–42.
  2. Gregg W.W., Casey N.W. Global and regional evaluation of the SeaWiFS chlorophyll data set. Remote Sens. Environ. 2004. Vol. 93. pp. 463–479.
  3. Claustre H., Morel A., Hooker S.B. et al. Is desert dust making oligotrophic waters greener. Geophys. Res. Lett. 2002. Vol. 29, No 10, doi:10.1029/2001GL014056.
  4. Nezlin N.P. Seasonal and interannual variability of remotely sensed chlorophyll, Handbook of Environmental Chemistry. The Black Sea Environment (Eds. A.G. Kostianoy and A.N. Kosarev), Springer Verlag, Berlin, 2008. pp. 333–349.
  5. Maritorena S., Siegel D.A. Consistent merging of satellite ocean color data sets using a bio-optical model. Remote Sens. Environ. 2005. Vol. 94. pp. 429–440.
  6. Alvera-Azcarrate A., Barth A., Sirjacobs D., Beckers J.-M. Enhancing temporal correlations in EOF expansions for the reconstruction of missing data using DINEOF. Ocean Sci. 2009. Vol. 5. pp. 475– 485.
  7. Alvera-Azcarate A., Barth A., Rixen M., Beckers J.M. Reconstruction of incomplete oceanographic data sets using empirical orthogonal functions: application to the Adriatic Sea surface temperature.Ocean Model. 2005. Vol. 9. pp. 325–346.
  8. Junev O.A. Ocenka mnogoletnih izmenenij godovoj pervichnoj produkcii fitoplanktona razlichnyh rajonov Chernomorskogo shel’fa. Jekobezopas nost’ pribrezhnoj i shel’fovoj zon i kompleksnoe ispol’zovanie resursov shel’fa. 2011. Vol. 25, No. 1. pp. 311–326.
  9. Kirilenko N.F., Kushnir V.M., Lemeshko E.M. Vlijanie rechnogo stoka na jekologicheskie uslovija severo-zapadnoj oblasti chernomorskogo regiona po dannym kontaktnyh i distancionnyh izmerenij. Geoinformatika. 2009. No 4. pp. 1–7.
  10. McQuatters-Gollop A., Mee L.D., Raitsos D.E., Shapiro G.I. Non-linearities, regime shifts and recovery: The recent influence of climate on Black Sea chlorophyll. J. Mar. Sys. 2008. Vol. 74. pp. 649–658.
  11. Serikova I.M., Evstigneev V.P., Tokarev Yu.N., Suslin V.V. Bioluminescence field of the Black Sea as indicator of Dinophyta aggregation, its seasonal and interannual dynamics. Proc. of SPIE. 2017. Vol. 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 104663X, doi: 10.1117/12.2287964.
  12. Polonskij A.B., Shokurova I.G. Mnogoletnjaja izmenchivost’ zavihrennosti kasatel’nogo naprjazhenija trenija vetra nad Chernym morem po dannym reanaliza. Jekobezopasnost’ pribrezhnoj i shel’fovoj zon i kompleksnoe ispol’zovanie resursov shel’fa. 2011. Vol. 24. pp. 182–189.
  13. Bretherton C. S., Widmann M., Dymnikov V.P., Wallace J. M., Blade I. The effective number of spatial degrees of freedom of a time-varying field. J. Clim. 1999. Vol. 12. pp. 1990–2009.

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