Regional Algorithm for Estimating High Coccolithophore Concentration in the Northeastern Part of the Black Sea

Author:

Vazyulya Svetlana1ORCID,Deryagin Dmitriy12,Glukhovets Dmitry12ORCID,Silkin Vladimir1,Pautova Larisa1

Affiliation:

1. Shirshov Institute of Oceanology of the Russian Academy of Sciences, 117997 Moscow, Russia

2. Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Russia

Abstract

A modified regional algorithm to quantify the coccolithophore concentration in the northeastern part of the Black Sea under conditions of intense bloom is presented. To modify the algorithm, the data of in situ measurements of coccolithophore Emiliania huxleyi abundance performed in June 2017 and 2022 (when the maximum values were 9 × 106 and 13 × 106 Cells L−1, respectively), as well as the data from hydro-optical and satellite measurements, were used. In addition, the ratio between the number of detached coccoliths and coccolithophore cells was taken into account. Based on the expanded array of in situ data, the optimal values of the regional algorithm parameters were obtained. The modified algorithm makes it possible to obtain more accurate results in areas of high coccolithophore concentrations and takes into account the contribution of coccoliths. To test the sensitivity of the algorithm to variations in bio-optical characteristics, model calculations were performed using Hydrolight software. The updated algorithm is significantly less sensitive to variations in chlorophyll concentration and CDOM absorption coefficient than its previous version.

Funder

SIO RAS

Russian Science Foundation

Russian Hydrometeorological Service

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

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