Primary production of phytoplankton and concentration of chlorophyll-a in the western part of the Japan/East Sea from remote sensing and field data

P. V. Lobanova, V. I. Zvalinski, P. Ya Tishchenko

Research output

3 Citations (Scopus)

Abstract

Remote sensing of ocean colour allows to analyze spatial and temporal variability of chlorophyll-a concentration (Chl) in a subsurface layer and estimate primary production of phytoplankton (PP) at regional and global scales. However, improvement of remote sensing algorithms requires systematical validation of satellite data by in situ observations. In this work, we compare satellite-derived and field estimates of Chl and modeled PP in the western part of the Japan/East Sea (35-440 N, 130-1370 E) in spring 2004 and autumn 2005 and 2011. As satellite PP we use its VGPM estimates from Ocean Productivity database. Field PP is calculated on the base of in situ observations of Chl, assimilation value, diffuse attenuation coefficient and sea surface temperature using two models: VGPM and a model developed in V.I. Il'ichev Pacific Oceanological Institute (POI). Comparison shows fair correlation between satellite-derived and field data: r = 0.56-0.63 for modeled PP and r = 0.58 for Chl. Their averaged estimates for all stations of observation have small difference, which, however, may be about 1.5-1.7 times in some periods. On average, satellite Chl overestimates in situ observations, while satellite estimates of PP are less than PP calculated with the use of the model developed by POI but greater than PP calculated using VGPM. The difference between modeled satellite and field PP estimates is due to features of vertical distribution of Chl within the euphotic zone and the difference in values of assimilation number used in the models.

Original languageRussian
Pages (from-to)135-147
Number of pages13
JournalSovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa
Volume14
Issue number2
DOIs
Publication statusPublished - 2017

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Phytoplankton
Chlorophyll
primary production
Remote sensing
chlorophyll a
phytoplankton
remote sensing
Satellites
sea
ocean color
euphotic zone
satellite data
vertical distribution
sea surface temperature
Productivity
autumn
Color
productivity
ocean

Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Computers in Earth Sciences

Cite this

@article{e6ad254bf0f34c8ab3e430c3ae86b23e,
title = "Primary production of phytoplankton and concentration of chlorophyll-a in the western part of the Japan/East Sea from remote sensing and field data",
abstract = "Remote sensing of ocean colour allows to analyze spatial and temporal variability of chlorophyll-a concentration (Chl) in a subsurface layer and estimate primary production of phytoplankton (PP) at regional and global scales. However, improvement of remote sensing algorithms requires systematical validation of satellite data by in situ observations. In this work, we compare satellite-derived and field estimates of Chl and modeled PP in the western part of the Japan/East Sea (35-440 N, 130-1370 E) in spring 2004 and autumn 2005 and 2011. As satellite PP we use its VGPM estimates from Ocean Productivity database. Field PP is calculated on the base of in situ observations of Chl, assimilation value, diffuse attenuation coefficient and sea surface temperature using two models: VGPM and a model developed in V.I. Il'ichev Pacific Oceanological Institute (POI). Comparison shows fair correlation between satellite-derived and field data: r = 0.56-0.63 for modeled PP and r = 0.58 for Chl. Their averaged estimates for all stations of observation have small difference, which, however, may be about 1.5-1.7 times in some periods. On average, satellite Chl overestimates in situ observations, while satellite estimates of PP are less than PP calculated with the use of the model developed by POI but greater than PP calculated using VGPM. The difference between modeled satellite and field PP estimates is due to features of vertical distribution of Chl within the euphotic zone and the difference in values of assimilation number used in the models.",
keywords = "Chlorophyll-a concentration, Models of primary production, Ocean colour, Primary production, Remote sensing, The Japan/East Sea",
author = "Lobanova, {P. V.} and Zvalinski, {V. I.} and Tishchenko, {P. Ya}",
year = "2017",
doi = "10.21046/2070-7401-2017-14-2-135-147",
language = "русский",
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TY - JOUR

T1 - Primary production of phytoplankton and concentration of chlorophyll-a in the western part of the Japan/East Sea from remote sensing and field data

AU - Lobanova, P. V.

AU - Zvalinski, V. I.

AU - Tishchenko, P. Ya

PY - 2017

Y1 - 2017

N2 - Remote sensing of ocean colour allows to analyze spatial and temporal variability of chlorophyll-a concentration (Chl) in a subsurface layer and estimate primary production of phytoplankton (PP) at regional and global scales. However, improvement of remote sensing algorithms requires systematical validation of satellite data by in situ observations. In this work, we compare satellite-derived and field estimates of Chl and modeled PP in the western part of the Japan/East Sea (35-440 N, 130-1370 E) in spring 2004 and autumn 2005 and 2011. As satellite PP we use its VGPM estimates from Ocean Productivity database. Field PP is calculated on the base of in situ observations of Chl, assimilation value, diffuse attenuation coefficient and sea surface temperature using two models: VGPM and a model developed in V.I. Il'ichev Pacific Oceanological Institute (POI). Comparison shows fair correlation between satellite-derived and field data: r = 0.56-0.63 for modeled PP and r = 0.58 for Chl. Their averaged estimates for all stations of observation have small difference, which, however, may be about 1.5-1.7 times in some periods. On average, satellite Chl overestimates in situ observations, while satellite estimates of PP are less than PP calculated with the use of the model developed by POI but greater than PP calculated using VGPM. The difference between modeled satellite and field PP estimates is due to features of vertical distribution of Chl within the euphotic zone and the difference in values of assimilation number used in the models.

AB - Remote sensing of ocean colour allows to analyze spatial and temporal variability of chlorophyll-a concentration (Chl) in a subsurface layer and estimate primary production of phytoplankton (PP) at regional and global scales. However, improvement of remote sensing algorithms requires systematical validation of satellite data by in situ observations. In this work, we compare satellite-derived and field estimates of Chl and modeled PP in the western part of the Japan/East Sea (35-440 N, 130-1370 E) in spring 2004 and autumn 2005 and 2011. As satellite PP we use its VGPM estimates from Ocean Productivity database. Field PP is calculated on the base of in situ observations of Chl, assimilation value, diffuse attenuation coefficient and sea surface temperature using two models: VGPM and a model developed in V.I. Il'ichev Pacific Oceanological Institute (POI). Comparison shows fair correlation between satellite-derived and field data: r = 0.56-0.63 for modeled PP and r = 0.58 for Chl. Their averaged estimates for all stations of observation have small difference, which, however, may be about 1.5-1.7 times in some periods. On average, satellite Chl overestimates in situ observations, while satellite estimates of PP are less than PP calculated with the use of the model developed by POI but greater than PP calculated using VGPM. The difference between modeled satellite and field PP estimates is due to features of vertical distribution of Chl within the euphotic zone and the difference in values of assimilation number used in the models.

KW - Chlorophyll-a concentration

KW - Models of primary production

KW - Ocean colour

KW - Primary production

KW - Remote sensing

KW - The Japan/East Sea

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U2 - 10.21046/2070-7401-2017-14-2-135-147

DO - 10.21046/2070-7401-2017-14-2-135-147

M3 - статья

AN - SCOPUS:85020103666

VL - 14

SP - 135

EP - 147

JO - СОВРЕМЕННЫЕ ПРОБЛЕМЫ ДИСТАНЦИОННОГО ЗОНДИРОВАНИЯ ЗЕМЛИ ИЗ КОСМОСА

JF - СОВРЕМЕННЫЕ ПРОБЛЕМЫ ДИСТАНЦИОННОГО ЗОНДИРОВАНИЯ ЗЕМЛИ ИЗ КОСМОСА

SN - 2070-7401

IS - 2

ER -