28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics 2022
DOI: 10.1117/12.2645217
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Study of seasonal and long-term phytoplankton variability in the Caspian Sea based on remote sensing data.

Abstract: The patterns of seasonal and long-term variability of phytoplankton in the Caspian Sea have been studied using SeaWiFS and MODIS-Aqua data. Chlorophyll "a" concentrations (CHL) in the Caspian Sea were calculated by the regional algorithm developed using an array of in situ measurements in different seasons of the year. Maps of the average monthly CHL values over a twenty-two-year period and seasonal variability diagrams were constructed for the Northern, Middle and Southern Caspian Sea. The features of seasona… Show more

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“…One of the previous studies has pointed to a progressive eutrophication of the Caspian Sea [46]. Remote studies based on regional algorithms for the calculation of chlorophyll concentrations only make it possible to reveal generalized patterns of spatial and seasonal development of phytoplankton across the entire area of the sea [49]. Moreover, to date, the dynamics of production processes in the Caspian Sea, as extrapolated from satellite data on the chlorophyll variability, have not been compared with the quantitative and structural characteristics of the Caspian phytoplankton.…”
Section: Introductionmentioning
confidence: 99%
“…One of the previous studies has pointed to a progressive eutrophication of the Caspian Sea [46]. Remote studies based on regional algorithms for the calculation of chlorophyll concentrations only make it possible to reveal generalized patterns of spatial and seasonal development of phytoplankton across the entire area of the sea [49]. Moreover, to date, the dynamics of production processes in the Caspian Sea, as extrapolated from satellite data on the chlorophyll variability, have not been compared with the quantitative and structural characteristics of the Caspian phytoplankton.…”
Section: Introductionmentioning
confidence: 99%