2017
DOI: 10.33075/2220-5861-2017-4-80-87
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Chlorophyll a Variability in the North-Western Black Sea Under the Present Climate Conditions

Abstract: В статье исследуется изменчивость содержания хлорофилла а в поверхностном слое северо-западного района Черного моря под влиянием гидрометеорологических факторов в современный климатический период по доступным данным спутникового зондирования за период 1997-2015 гг. Ключевые слова: хлорофилл а, спутниковая информация, реконструкция массивов, Черное море

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“…These data have been produced in the framework of the GlobColour project of the European Space Agency (ESA) using the datasets of SeaWiFS, MODIS, MERIS and VIIRS scanners. Chla patterns from different scanners were combined by the Garver-Siegel-Maritorena (GSM) method (Maritorena and Siegel 2005) and can be downloaded from www.globcolour.info. Satellite-derived Chla is obtained from the ocean colour in different spectral channels using special algorithms, depending on the type of surface waters (Suslin et al 2018).…”
Section: Satellite Datamentioning
confidence: 99%
See 1 more Smart Citation
“…These data have been produced in the framework of the GlobColour project of the European Space Agency (ESA) using the datasets of SeaWiFS, MODIS, MERIS and VIIRS scanners. Chla patterns from different scanners were combined by the Garver-Siegel-Maritorena (GSM) method (Maritorena and Siegel 2005) and can be downloaded from www.globcolour.info. Satellite-derived Chla is obtained from the ocean colour in different spectral channels using special algorithms, depending on the type of surface waters (Suslin et al 2018).…”
Section: Satellite Datamentioning
confidence: 99%
“…In this regard, logarithmically transformed (natural logarithm) fields of Chla were used. Moreover, Chla variability may differ by several orders of magnitude for the estuaries of the region's main rivers -the Danube River, the Dnieper, the Dniester River -and in the areas adjacent to the deep-sea areas of the Black Sea (Staneva et al 2010, Kyrylenko and Evstigneev 2017, Kubryakov et al 2018. To minimise the influence of the heterogeneity of Chla distribution, the initial data were converted into absolute anomaly fields where is the average long-term value of the log-transformed Chla value in each pixel of the field.…”
Section: Satellite Datamentioning
confidence: 99%