气候变化领域集成服务门户(CCPortal): Ocean Color Algorithms for Estimating Chlorophyll a, CDOM Absorption, and Particle Backscattering in the Arctic Ocean

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DOI	10.1029/2019JC015706
	Ocean Color Algorithms for Estimating Chlorophyll a, CDOM Absorption, and Particle Backscattering in the Arctic Ocean
	Lewis K.M.; Arrigo K.R.
发表日期	2020
ISSN	21699275
卷号	125 期号:6
英文摘要	As the Arctic Ocean (AO) is increasingly altered by anthropogenic climate change, it is critical that we accurately assess ongoing changes in its capacity to support marine life. Ocean color remote sensing provides an effective tool to estimate phytoplankton biomass and net primary production in the remote and undersampled AO. However, standard algorithms have been parameterized using global data sets that severely underrepresent the AO. Because the optical properties of AO waters differ markedly from those of lower-latitude waters, standard algorithms perform poorly in the AO. Here, we use the largest bio-optical database ever assembled for AO waters to examine seasonal and regional patterns of AO optical properties and to quantify their impact on ocean color algorithms. We find that the standard algorithms fail to accurately retrieve the primary photosynthetic pigment chlorophyll a (Chl a) in the AO; it is overestimated at low phytoplankton biomass due to exceptionally high absorption of colored dissolved organic matter (CDOM), particularly on the interior shelves, and underestimated at high biomass due to the photoacclimation of phytoplankton growing in low light leading to high pigment packaging effect. Using this large bio-optical database that includes in situ measurements from across the AO and through the entire growing season, we parameterize a new empirical (AOReg.emp) and semianalytical (AO.GSM) algorithm which represent the unique bio-optical properties of the AO to successfully retrieve Chl a, CDOM absorption, and particle backscattering with better accuracy than any algorithm yet applied to the AO. ©2020. American Geophysical Union. All Rights Reserved.
英文关键词	absorption; algorithm; Arctic Ocean; chlorophyll; ocean color; remote sensing
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/186832
作者单位	Department of Earth System Science, Stanford University, Stanford, CA, United States
推荐引用方式 GB/T 7714	Lewis K.M.,Arrigo K.R.. Ocean Color Algorithms for Estimating Chlorophyll a, CDOM Absorption, and Particle Backscattering in the Arctic Ocean[J],2020,125(6).
APA	Lewis K.M.,&Arrigo K.R..(2020).Ocean Color Algorithms for Estimating Chlorophyll a, CDOM Absorption, and Particle Backscattering in the Arctic Ocean.Journal of Geophysical Research: Oceans,125(6).
MLA	Lewis K.M.,et al."Ocean Color Algorithms for Estimating Chlorophyll a, CDOM Absorption, and Particle Backscattering in the Arctic Ocean".Journal of Geophysical Research: Oceans 125.6(2020).