Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 4, pp. 59-74
Verification of algorithms for calculating primary production for the southeastern Baltic Sea from field measurements and satellite data
E.A. Kudryavtseva
1 , T.V. Bukanova
1 , S.V. Aleksandrov
2 1 Shirshov Institute of Oceanology RAS, Moscow, Russia
2 Russian Federal Research Institute of Fisheries and Oceanography, Atlantic Branch, Kaliningrad, Russia
Accepted: 25.07.2022
DOI: 10.21046/2070-7401-2022-19-4-59-74
The algorithm for calculating primary production (PP) is proposed for the Russian sector of the southeastern part of the Baltic Sea. PP is obtained from the data of monthly in situ measurements at a buoy station in 2008–2009. The algorithm includes three components: vertical profile of chlorophyll a (Chl a), the parameter for estimating the distribution of underwater photosynthetically active radiation (PAR), and photosynthetic parameter. We used an empirical equation previously developed for the Baltic Sea by Polish oceanographers to reconstruct the vertical profiles of Chl a from its concentration in the surface layer. The thickness of the euphotic layer was determined from the concentration of Chl a in the surface layer according to an empirical equation obtained for the study area. The photosynthetic parameter was calculated from a multiple regression equation which included water temperature and Chl a concentration as variables. The algorithm was verified on the basis of data from measurements that were carried out in the study area between 2003 and 2020, as well as on satellite data averaged over two-week periods coinciding with the dates of the expeditions. The presented algorithm has a similar performance to other PP models that have been verified for the Baltic Sea. In contrast to them, the PP values calculated by the algorithm in the warm period of the year are not underestimated, which is of great importance for studying and predicting the dynamics of the study area ecosystem. The resulting equations can be used to calculate the PP from satellite data and fill gaps in field observations.
Keywords: primary production, chlorophyll a, vertical distribution, in situ measurements, algorithm for calculating primary production, satellite data, Baltic Sea
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