气候变化领域集成服务门户(CCPortal): Global retrieval of phytoplankton functional types based on empirical orthogonal functions using CMEMS GlobColour merged products and further extension to OLCI data

CCPortal

DOI	10.1016/j.rse.2020.111704
	Global retrieval of phytoplankton functional types based on empirical orthogonal functions using CMEMS GlobColour merged products and further extension to OLCI data
	Xi H.; Losa S.N.; Mangin A.; Soppa M.A.; Garnesson P.; Demaria J.; Liu Y.; d'Andon O.H.F.; Bracher A.
发表日期	2020
ISSN	00344257
卷号	240
英文摘要	This study presents an algorithm for globally retrieving chlorophyll a (Chl-a) concentrations of phytoplankton functional types (PFTs) from multi-sensor merged ocean color (OC) products or Sentinel-3A (S3) Ocean and Land Color Instrument (OLCI) data from the GlobColour archive in the frame of the Copernicus Marine Environmental Monitoring Service (CMEMS). The retrieved PFTs include diatoms, haptophytes, dinoflagellates, green algae and prokaryotic phytoplankton. A previously proposed method to retrieve various phytoplankton pigments, based on empirical orthogonal functions (EOF), is investigated and adapted to retrieve Chl-a concentrations of multiple PFTs using extensive global data sets of in situ pigment measurements and matchups with satellite OC products. The performance of the EOF-based approach is assessed and cross-validated statistically. The retrieved PFTs are compared with those derived from diagnostic pigment analysis (DPA) based on in situ pigment measurements. Results show that the approach predicts well Chl-a concentrations of most of the mentioned PFTs. The performance of the approach is, however, less accurate for prokaryotes, possibly due to their general low variability and small concentration range resulting in a weak signal which is extracted from the reflectance data and corresponding EOF modes. As a demonstration of the approach utilization, the EOF-based fitted models based on satellite reflectance products at nine bands are applied to the monthly GlobColour merged products. Climatological characteristics of the PFTs are also evaluated based on ten years of merged products (2002−2012) through inter-comparisons with other existing satellite derived products on phytoplankton composition including phytoplankton size class (PSC), SynSenPFT, OC-PFT and PHYSAT. Inter-comparisons indicate that most PFTs retrieved by our study agree well with previous corresponding PFT/PSC products, except that prokaryotes show higher Chl-a concentration in low latitudes. PFT dominance derived from our products is in general well consistent with the PHYSAT product. A preliminary experiment of the retrieval algorithm using eleven OLCI bands is applied to monthly OLCI products, showing comparable PFT distributions with those from the merged products, though the matchup data for OLCI are limited both in number and coverage. This study is to ultimately deliver satellite global PFT products for long-term continuous observation, which will be updated timely with upcoming OC data, for a comprehensive understanding of the variability of phytoplankton composition structure at a global or regional scale. © 2020 The Authors
英文关键词	Chlorophyll a; CMEMS GlobColour; Empirical orthogonal functions; HPLC pigments; OLCI; Phytoplankton functional types; Remote sensing reflectance; Retrieval algorithm
语种	英语
scopus关键词	Chlorophyll; Microorganisms; Phytoplankton; Reflection; Remote sensing; Satellites; Chlorophyll a; CMEMS GlobColour; Empirical Orthogonal Function; Functional types; HPLC pigments; OLCI; Remote-sensing reflectance; Retrieval algorithms; Orthogonal functions; algorithm; chlorophyll a; ocean color; phytoplankton; pigment; satellite data; Bacillariophyta; Chlorophyta; Dinophyceae; Haptophyceae; Prokaryota
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179394
作者单位	Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany; Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russian Federation; ACRI-ST, Sophia Antipolis Cedex, 06904, France; Faculty of Biology and Chemistry, University of Bremen, Bremen, Germany; Institute of Environmental Physics, University of Bremen, Bremen, Germany
推荐引用方式 GB/T 7714	Xi H.,Losa S.N.,Mangin A.,et al. Global retrieval of phytoplankton functional types based on empirical orthogonal functions using CMEMS GlobColour merged products and further extension to OLCI data[J],2020,240.
APA	Xi H..,Losa S.N..,Mangin A..,Soppa M.A..,Garnesson P..,...&Bracher A..(2020).Global retrieval of phytoplankton functional types based on empirical orthogonal functions using CMEMS GlobColour merged products and further extension to OLCI data.Remote Sensing of Environment,240.
MLA	Xi H.,et al."Global retrieval of phytoplankton functional types based on empirical orthogonal functions using CMEMS GlobColour merged products and further extension to OLCI data".Remote Sensing of Environment 240(2020).