气候变化领域集成服务门户(CCPortal): Global Chlorophyll a Concentrations of Phytoplankton Functional Types With Detailed Uncertainty Assessment Using Multisensor Ocean Color and Sea Surface Temperature Satellite Products

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DOI	10.1029/2020JC017127
	Global Chlorophyll a Concentrations of Phytoplankton Functional Types With Detailed Uncertainty Assessment Using Multisensor Ocean Color and Sea Surface Temperature Satellite Products
	Xi H.; Losa S.N.; Mangin A.; Garnesson P.; Bretagnon M.; Demaria J.; Soppa M.A.; Hembise Fanton d'Andon O.; Bracher A.
发表日期	2021
ISSN	21699275
卷号	126 期号:5
英文摘要	First, we retune an algorithm based on empirical orthogonal functions (EOFs) for globally retrieving the chlorophyll a concentration (Chl-a) of phytoplankton functional types (PFTs) from multisensor merged ocean color (OC) products. The retuned algorithm, referred to as EOF-SST hybrid algorithm, is improved by: (i) using 23% more matchups between the updated global in situ pigment database and satellite remote sensing reflectance (Rrs) products, and (ii) including sea surface temperature (SST) as an additional input parameter. In addition to the Chl-a of the six PFTs (diatoms, haptophytes, dinoflagellates, green algae, prokaryotes, and Prochlorococcus), the fractions of prokaryote and Prochlorococcus Chl-a to total Chl-a (TChl-a), are also retrieved by the EOF-SST hybrid algorithm. Matchup data are separated for low and high-temperature regimes based on different PFT dependences on SST, to establish SST-separated hybrid algorithms which demonstrate further improvements in performance as compared to the EOF-SST hybrid algorithm. The per-pixel uncertainty of the retrieved TChl-a and PFT products is estimated by taking into account the uncertainties from both input data and model parameters through Monte Carlo simulations and analytical error propagation. The algorithm and its method to determine uncertainties can be transferred to similar OC products until today, enabling long-term continuous satellite observations of global PFT products. Satellite PFT uncertainty is essential to evaluate and improve coupled ecosystem-ocean models which simulate PFTs, and furthermore can be used to directly improve these models via data assimilation. © 2021. The Authors.
英文关键词	empirical orthogonal functions; HPLC pigments; merged products; ocean color; phytoplankton functional types; remote sensing reflectance
语种	英语
来源期刊	Journal of Geophysical Research: Oceans
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/186319
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, France; 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 Chlorophyll a Concentrations of Phytoplankton Functional Types With Detailed Uncertainty Assessment Using Multisensor Ocean Color and Sea Surface Temperature Satellite Products[J],2021,126(5).
APA	Xi H..,Losa S.N..,Mangin A..,Garnesson P..,Bretagnon M..,...&Bracher A..(2021).Global Chlorophyll a Concentrations of Phytoplankton Functional Types With Detailed Uncertainty Assessment Using Multisensor Ocean Color and Sea Surface Temperature Satellite Products.Journal of Geophysical Research: Oceans,126(5).
MLA	Xi H.,et al."Global Chlorophyll a Concentrations of Phytoplankton Functional Types With Detailed Uncertainty Assessment Using Multisensor Ocean Color and Sea Surface Temperature Satellite Products".Journal of Geophysical Research: Oceans 126.5(2021).