A Pan-Arctic Algorithm to Estimate Dissolved Organic Carbon Concentrations From Colored Dissolved Organic Matter Spectral Absorption

被引：0
作者：
Goncalves-Araujo, Rafael [1 ]
Granskog, Mats A. [2 ]
Osburn, Christopher L. [3 ]
Kowalczuk, Piotr [4 ]
Stedmon, Colin A. [1 ]
机构：
[1] Tech Univ Denmark, Natl Inst Aquat Resources, Lyngby, Denmark
[2] Norwegian Polar Res Inst, Fram Ctr, Tromso, Norway
[3] North Carolina State Univ, Dept Marine Earth & Atmospher Sci, Raleigh, NC USA
[4] Polish Acad Sci, Inst Oceanol, Sopot, Poland
来源：
GEOPHYSICAL RESEARCH LETTERS | 2023年 / 50卷 / 21期
基金：
欧盟地平线“2020”;
关键词：
CDOM; DOC; spectroscopy; absorbance; Arctic Ocean; OPTICAL-PROPERTIES; OCEAN; SEA; MARINE; CDOM; SLOPES; WATERS;
D O I：
10.1029/2023GL105028
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Sampling for dissolved organic carbon (DOC) in the Arctic is challenging given the limited access and because it is not yet possible to measure with instruments deployed in situ. Compared to DOC, colored dissolved organic matter (CDOM) absorption spectroscopy is an easy-to-measure, relatively quick and cost-effective approach which is often closely related to DOC concentrations in water samples. Here we present an algorithm based on quantitative and qualitative metrics of CDOM to provide DOC estimates derived from a Pan-Arctic data set (n = 3,302) spanning rivers to deep ocean, with DOC ranging between 31 and 1,958 mu M. The algorithm provided robust DOC estimates (r(2) = 0.94; p < 0.0001) and could reproduce DOC profiles and mixing plots across different locations in the Arctic Ocean. Besides its simplicity, this method is capable of capturing the extremely broad range of DOC within the strong gradients observed between Arctic riverine and marine systems.
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页数：9
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