Empirical algorithm for detecting coccolithophore blooms through satellite observation in the Barents Sea

2022 ◽  
Vol 270 ◽  
pp. 112886
Author(s):  
Shuo He ◽  
Chengfeng Le ◽  
Jianfeng He ◽  
Na Liu
Author(s):  
Valeriy G. Yakubenko ◽  
Anna L. Chultsova

Identification of water masses in areas with complex water dynamics is a complex task, which is usually solved by the method of expert assessments. In this paper, it is proposed to use a formal procedure based on the application of the method of optimal multiparametric analysis (OMP analysis). The data of field measurements obtained in the 68th cruise of the R/V “Academician Mstislav Keldysh” in the summer of 2017 in the Barents Sea on the distribution of temperature, salinity, oxygen, silicates, nitrogen, and phosphorus concentration are used as a data for research. A comparison of the results with data on the distribution of water masses in literature based on expert assessments (Oziel et al., 2017), allows us to conclude about their close structural similarity. Some differences are related to spatial and temporal shifts of measurements. This indicates the feasibility of using the OMP analysis technique in oceanological studies to obtain quantitative data on the spatial distribution of different water masses.


1990 ◽  
Vol 8 (1) ◽  
pp. 11-16 ◽  
Author(s):  
Lars Midttun

1997 ◽  
Vol 16 (2) ◽  
pp. 73-84 ◽  
Author(s):  
Robert T. Barrett ◽  
Vidar Bakken ◽  
Juri V. Krasnov

1990 ◽  
Vol 8 (2) ◽  
pp. 309-311
Author(s):  
Øystein Wiig ◽  
Vidar Bakken

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