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An empirical algorithm to estimate silicate in the Southwest Bay of Bengal

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Title An empirical algorithm to estimate silicate in the Southwest Bay of Bengal
 
Creator Priyanka, K
Sarangi, R K
Shanthi, R
Louwinanand, D
Saravanakumar, A
 
Subject Bay of Bengal
Diatoms
Silicate algorithm
SNPP VIIRS
Chlorophyll-a
Sea surface temperature
 
Description 415-423
Silicate is a significant prerequisite for the growth and development of primary producers, mainly in diatoms, it remains
a prevalent contributor. Satellite ocean colour sensors data are broadly utilized for the identification, mapping and
monitoring the phytoplankton characteristics, spatial and temporal. In this study, an empirical algorithm was developed for
mapping the silicate concentration an important nutrient for planktonic diatoms depending on the relationship between
chlorophyll-a, Sea Surface Temperature (SST) and silicate at a high spatio-temporal resolution. Three dimensional
polynomial functions, such as plane, paraboloid, Gaussian and Lorentzian functions were used to correlate SST,
chlorophyll-a and silicate. Among these the paraboloid function provided significant relationship between the variables with
an R2 value of 0.828. Validation of Visible Infrared Imaging Radiometer Suite (VIIRS) derived SST (R2 = 0.634, Mean
Normalized Bias (MNB) = 0.006, Root Mean Square Error (RMSE) = 0.280 and Standard Error of Estimation (SEE) = ±0.227)
and chlorophyll-a (R2 = 0.523, MNB = 0.369, RMSE = 0.846, and SEE = ±0.632) observed better synchronization with
in situ measurements of SST and chlorophyll-a, respectively. The VIIRS-derived silicate algorithm provided better
agreements with in situ silicate concentration (R2 = 0.784, MNB = -0.001, RMSE = 1.394 and SEE = ±0.839) along the
Southwest Bay of Bengal.
 
Date 2024-05-22T06:33:09Z
2024-05-22T06:33:09Z
2023-09
 
Type Article
 
Identifier 2582-6727 (Online); 2582-6506 (Print)
http://nopr.niscpr.res.in/handle/123456789/63942
https://doi.org/10.56042/ijms.v52i09.11263
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source IJMS Vol.52(09) [September 2023]