Articles | Volume 14, issue 9
https://doi.org/10.5194/bg-14-2371-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-14-2371-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 May 2017
Research article |
| 10 May 2017
Analytical solution of the nitracline with the evolution of subsurface chlorophyll maximum in stratified water columns
Xiang Gong
School of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao 266061, PR China
Key Laboratory of Marine Environment and Ecology (Ministry of Education of China), Ocean University of China, Qingdao 266100, PR China
Wensheng Jiang
Key Laboratory of Marine Environment and Ecology (Ministry of Education of China), Ocean University of China, Qingdao 266100, PR China
Key Laboratory of Physical Oceanography (Ministry of Education of China), Ocean University of China, Qingdao 266100, PR China
Linhui Wang
Key Laboratory of Marine Environment and Ecology (Ministry of Education of China), Ocean University of China, Qingdao 266100, PR China
Key Laboratory of Marine Environment and Ecology (Ministry of Education of China), Ocean University of China, Qingdao 266100, PR China
Qingdao Collaborative Center of Marine Science and Technology, Ocean University of China, Qingdao 266100, PR China
Emmanuel Boss
School of Marine Sciences, University of Maine, Orono 04469-5706, USA
Xiaohong Yao
Key Laboratory of Marine Environment and Ecology (Ministry of Education of China), Ocean University of China, Qingdao 266100, PR China
Qingdao Collaborative Center of Marine Science and Technology, Ocean University of China, Qingdao 266100, PR China
Shuh-Ji Kao
State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361005, PR China
Jie Shi
Key Laboratory of Marine Environment and Ecology (Ministry of Education of China), Ocean University of China, Qingdao 266100, PR China
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Cited
15 citations as recorded by crossref.
- Deep chlorophyll maxima across a trophic state gradient: A case study in the Laurentian Great Lakes A. Scofield et al. 10.1002/lno.11464
- Study on the Distribution of Surface Chlorophyll-a and Subsurface Chlorophyll Maximum in the Southeastern Yellow Sea According to the Typhoon Paths and Water Masses P. Jang et al. 10.1007/s12601-020-0032-8
- Vertical Fine-Scale Distribution of Calanus sinicus in the Yellow Sea Cold Water Mass During the Over-Summering Process J. Pan et al. 10.3389/fmars.2021.644043
- Biogeographical Classification of the Global Ocean From BGC‐Argo Floats N. Bock et al. 10.1029/2021GB007233
- Temporal and Vertical Variations of Particulate and Dissolved Optical Properties in the South China Sea X. Xing et al. 10.1029/2018JC014880
- Dominant physical-biogeochemical drivers for the seasonal variations in the surface chlorophyll-a and subsurface chlorophyll-a maximum in the Bay of Bengal K. Chowdhury et al. 10.1016/j.rsma.2021.102022
- A Model for the Vertical Chlorophyll-a Distribution in the Bay of Bengal Using Remote Sensing Data S. Vadakke-Chanat & P. Shanmugam 10.1109/TGRS.2019.2939548
- Biogeochemical Model Optimization by Using Satellite-Derived Phytoplankton Functional Type Data and BGC-Argo Observations in the Northern South China Sea C. Shu et al. 10.3390/rs14051297
- Deep chlorophyll maximum and nutricline in the Mediterranean Sea: emerging properties from a multi-platform assimilated biogeochemical model experiment A. Teruzzi et al. 10.5194/bg-18-6147-2021
- Evolution of 3-D chlorophyll in the northwestern Pacific Ocean using a Gaussian-activation deep neural network model X. Zhao et al. 10.3389/fmars.2024.1378488
- A mechanistic model of an upper bound on oceanic carbon export as a function of mixed layer depth and temperature Z. Li & N. Cassar 10.5194/bg-14-5015-2017
- Bio-optical characterization of subsurface chlorophyll maxima in the Mediterranean Sea from a Biogeochemical-Argo float database M. Barbieux et al. 10.5194/bg-16-1321-2019
- A limited effect of sub-tropical typhoons on phytoplankton dynamics F. Chai et al. 10.5194/bg-18-849-2021
- Effect of Anthropogenic Aerosol Addition on Phytoplankton Growth in Coastal Waters: Role of Enhanced Phosphorus Bioavailability Q. Wang et al. 10.3389/fmicb.2022.915255
- Atmospheric deposition and river runoff stimulate the utilization of dissolved organic phosphorus in coastal seas H. Jin et al. 10.1038/s41467-024-44838-7
15 citations as recorded by crossref.
- Deep chlorophyll maxima across a trophic state gradient: A case study in the Laurentian Great Lakes A. Scofield et al. 10.1002/lno.11464
- Study on the Distribution of Surface Chlorophyll-a and Subsurface Chlorophyll Maximum in the Southeastern Yellow Sea According to the Typhoon Paths and Water Masses P. Jang et al. 10.1007/s12601-020-0032-8
- Vertical Fine-Scale Distribution of Calanus sinicus in the Yellow Sea Cold Water Mass During the Over-Summering Process J. Pan et al. 10.3389/fmars.2021.644043
- Biogeographical Classification of the Global Ocean From BGC‐Argo Floats N. Bock et al. 10.1029/2021GB007233
- Temporal and Vertical Variations of Particulate and Dissolved Optical Properties in the South China Sea X. Xing et al. 10.1029/2018JC014880
- Dominant physical-biogeochemical drivers for the seasonal variations in the surface chlorophyll-a and subsurface chlorophyll-a maximum in the Bay of Bengal K. Chowdhury et al. 10.1016/j.rsma.2021.102022
- A Model for the Vertical Chlorophyll-a Distribution in the Bay of Bengal Using Remote Sensing Data S. Vadakke-Chanat & P. Shanmugam 10.1109/TGRS.2019.2939548
- Biogeochemical Model Optimization by Using Satellite-Derived Phytoplankton Functional Type Data and BGC-Argo Observations in the Northern South China Sea C. Shu et al. 10.3390/rs14051297
- Deep chlorophyll maximum and nutricline in the Mediterranean Sea: emerging properties from a multi-platform assimilated biogeochemical model experiment A. Teruzzi et al. 10.5194/bg-18-6147-2021
- Evolution of 3-D chlorophyll in the northwestern Pacific Ocean using a Gaussian-activation deep neural network model X. Zhao et al. 10.3389/fmars.2024.1378488
- A mechanistic model of an upper bound on oceanic carbon export as a function of mixed layer depth and temperature Z. Li & N. Cassar 10.5194/bg-14-5015-2017
- Bio-optical characterization of subsurface chlorophyll maxima in the Mediterranean Sea from a Biogeochemical-Argo float database M. Barbieux et al. 10.5194/bg-16-1321-2019
- A limited effect of sub-tropical typhoons on phytoplankton dynamics F. Chai et al. 10.5194/bg-18-849-2021
- Effect of Anthropogenic Aerosol Addition on Phytoplankton Growth in Coastal Waters: Role of Enhanced Phosphorus Bioavailability Q. Wang et al. 10.3389/fmicb.2022.915255
- Atmospheric deposition and river runoff stimulate the utilization of dissolved organic phosphorus in coastal seas H. Jin et al. 10.1038/s41467-024-44838-7
Latest update: 26 Jul 2024
Short summary
The subsurface chlorophyll maximum layer (SCML) forms near the nitracline. By incorporating a piecewise function for the approximate Gaussian vertical profile of chlorophyll, we derive analytical solutions of a specified nutrient–phytoplankton model. Nitracline depth is deeper than SCML depth, and a thinner SCML corresponds to a steeper nitracline. A higher light attenuation coefficient leads to a shallower but steeper nitracline. Nitracline steepness is independent of surface light intensity.
The subsurface chlorophyll maximum layer (SCML) forms near the nitracline. By incorporating a...
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