A Color‐Index‐Based Empirical Algorithm for Determining Particulate Organic Carbon Concentration in the Ocean From Satellite Observations-Reference-Cited by-同舟云学术

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A Color‐Index‐Based Empirical Algorithm for Determining Particulate Organic Carbon Concentration in the Ocean From Satellite Observations

Published:2018-10 Issue:10 Volume:123 Page:7407-7419
ISSN:2169-9275
Container-title:Journal of Geophysical Research: Oceans
language:en
Short-container-title:J. Geophys. Res. Oceans

Author:

Le Chengfeng¹^ORCID,Zhou Xueying¹^ORCID,Hu Chuanmin²^ORCID,Lee Zhongping³^ORCID,Li Lin¹,Stramski Dariusz⁴

Affiliation:

1. Ocean CollegeZhejiang University Zhoushan China

2. College of Marine ScienceUniversity of South Florida St. Petersburg FL USA

3. School For the EnvironmentUniversity of Massachusetts Boston Boston MA USA

4. Scripps Institution of OceanographyUniversity of California San Diego La Jolla CA USA

Funder

National Key Research and Development Program of China

NASA Ocean Biology and Biogeochemistry Program

Publisher

American Geophysical Union (AGU)

Subject

Earth and Planetary Sciences (miscellaneous),Space and Planetary Science,Geochemistry and Petrology,Geophysics,Oceanography

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2018JC014014

Reference48 articles.

1. Seasonal and interannual variability of particulate organic carbon within the Southern Ocean from satellite ocean color observations

2. Empirical ocean color algorithms for estimating particulate organic carbon in the Southern Ocean

3. Light scattering properties of marine particles in coastal and open ocean waters as related to the particle mass concentration

4. Calcium carbonate measurements in the surface global ocean based on Moderate-Resolution Imaging Spectroradiometer data

5. Carbon-based ocean productivity and phytoplankton physiology from space

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