Variability of particulate organic carbon and assessment of satellite retrieval algorithms over the eastern Arabian Sea.

Autor: S SS; Centre for Marine Living Resources and Ecology, Ministry of Earth Sciences, Kochi, India.; Department of Chemical Oceanography, Cochin University of Science and Technology, Kochi, India., Sunny GM; Kerala University of Fisheries and Ocean Studies, Panangad, Kochi, India., Sherin CK; Centre for Marine Living Resources and Ecology, Ministry of Earth Sciences, Kochi, India., Vishnu NNS; Centre for Marine Living Resources and Ecology, Ministry of Earth Sciences, Kochi, India., Reddy B; Centre for Marine Living Resources and Ecology, Ministry of Earth Sciences, Kochi, India., Sudheesh V; Centre for Marine Living Resources and Ecology, Ministry of Earth Sciences, Kochi, India.; Central University of Kerala, Kasargod, India., Prachi M; Centre for Marine Living Resources and Ecology, Ministry of Earth Sciences, Kochi, India., Kumar S; Physical Research Laboratory, Department of Space, Ahmedabad, India., Vijayan AK; Centre for Marine Living Resources and Ecology, Ministry of Earth Sciences, Kochi, India. anilkumarv@cmlre.gov.in., Gupta GVM; Centre for Marine Living Resources and Ecology, Ministry of Earth Sciences, Kochi, India.
Jazyk: angličtina
Zdroj: Environmental monitoring and assessment [Environ Monit Assess] 2022 Aug 08; Vol. 194 (9), pp. 656. Date of Electronic Publication: 2022 Aug 08.
DOI: 10.1007/s10661-022-10264-9
Abstrakt: Particulate organic carbon (POC) and its variability were studied to assess the accuracy of ocean colour retrieval algorithms over the eastern Arabian Sea (EAS) as it controls the carbon sequestration, oxygen minimum zone and biogeochemical (C, N and P) cycles. The seasonality in the physical and biological processes strongly influenced the distribution of POC along the EAS. Higher POC and chlorophyll a (chl a) during the spring inter monsoon (SIM) in the north EAS were due to detrainment bloom. The lower POC:chl a ratios during the winter monsoon (WM) (299.8 ± 190.8) than the SIM (482.1 ± 438.3) were due to the influence of freshly derived organic matter with high nutrient levels. The moderate coefficient of regression values of POC with chl a (R 2  = 0.49, N = 59) suggests the importance of dead organic materials in controlling the POC distribution in the EAS. Validation between satellite and in situ POC using the four ocean colour retrieval algorithms showed that the algorithm based on the ratio of remote sensing reflectance (Rrs) performed better (R 2  = 0.6, N = 17). It also showed a linear trend of POC with absorption coefficients suggesting it as an optical proxy for the POC retrieval.
(© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)
Databáze: MEDLINE
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