气候变化领域集成服务门户(CCPortal): Comparison of ocean-colour algorithms for particulate organic carbon in global ocean

CCPortal

DOI	10.3389/fmars.2024.1309050
	Comparison of ocean-colour algorithms for particulate organic carbon in global ocean
	Kong, Christina Eunjin; Sathyendranath, Shubha; Jackson, Thomas; Stramski, Dariusz; Brewin, Robert J. W.; Kulk, Gemma; Jonsson, Bror F.; Loisel, Hubert; Gali, Marti; Le, Chengfeng
发表日期	2024
EISSN	2296-7745
起始页码	11
卷号	11
英文摘要	In the oceanic surface layer, particulate organic carbon (POC) constitutes the biggest pool of particulate material of biological origin, encompassing phytoplankton, zooplankton, bacteria, and organic detritus. POC is of general interest in studies of biologically-mediated fluxes of carbon in the ocean, and over the years, several empirical algorithms have been proposed to retrieve POC concentrations from satellite products. These algorithms can be categorised into those that make use of remote-sensing-reflectance data directly, and those that are dependent on chlorophyll concentration and particle backscattering coefficient derived from reflectance values. In this study, a global database of in situ measurements of POC is assembled, against which these different types of algorithms are tested using daily matchup data extracted from the Ocean Colour Climate Change Initiative (OC-CCI; version 5). Through analyses of residuals, pixel-by-pixel uncertainties, and validation based on optical water types, areas for POC algorithm improvement are identified, particularly in regions underrepresented in the in situ POC data sets, such as coastal and high-latitude waters. We conclude that POC algorithms have reached a state of maturity and further improvements can be sought in blending algorithms for different optical water types when the required in situ data becomes available. The best performing band ratio algorithm was tuned to the OC-CCI version 5 product and used to produce a global time series of POC between 1997-2020 that is freely available.
英文关键词	particulate organic carbon; ocean carbon cycle; biological carbon pump; essential climate variable; ocean colour remote sensing; ocean colour climate change initiative
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Marine & Freshwater Biology
WOS类目	Environmental Sciences ; Marine & Freshwater Biology
WOS记录号	WOS:001217329700001
来源期刊	FRONTIERS IN MARINE SCIENCE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/288850
作者单位	University of British Columbia; Plymouth Marine Laboratory; UK Research & Innovation (UKRI); Natural Environment Research Council (NERC); NERC National Centre for Earth Observation; Plymouth Marine Laboratory; European Organisation for the Exploitation of Meteorological Satellites; University of California System; University of California San Diego; Scripps Institution of Oceanography; University of Exeter; Universite du Littoral-Cote-d'Opale; Universite de Lille; Centre National de la Recherche Scientifique (CNRS); CNRS - National Institute for Earth Sciences & Astronomy (INSU); Consejo Superior de Investigaciones Cientificas (CSIC); CSIC - Centro Mediterraneo de Investigaciones Marinas y Ambientales (CMIMA); CSIC - Instituto de Ciencias del Mar (ICM); Zhejiang University
推荐引用方式 GB/T 7714	Kong, Christina Eunjin,Sathyendranath, Shubha,Jackson, Thomas,et al. Comparison of ocean-colour algorithms for particulate organic carbon in global ocean[J],2024,11.
APA	Kong, Christina Eunjin.,Sathyendranath, Shubha.,Jackson, Thomas.,Stramski, Dariusz.,Brewin, Robert J. W..,...&Le, Chengfeng.(2024).Comparison of ocean-colour algorithms for particulate organic carbon in global ocean.FRONTIERS IN MARINE SCIENCE,11.
MLA	Kong, Christina Eunjin,et al."Comparison of ocean-colour algorithms for particulate organic carbon in global ocean".FRONTIERS IN MARINE SCIENCE 11(2024).