NANO alumni publication: Variability of particulate organic carbon and assessment of satellite retrieval algorithms over the eastern Arabian Sea

NANO Alumni Shaju S. S., Ginchu Mariam Sunny, V. Sudheesh and colleagues published the following article in the Environmental Monitoring and Assessment

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

S et al. (2022), Environ Monit Assess 194, 656 (2022), DOI 10.1007/s10661-022-10264-9

Abstract

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 (R2 = 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 (R2 = 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.

Link for the publication here

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