利用卫星获得的色度溶解有机物光吸收光谱对亚北极太平洋及邻近海域的光学水组进行分类

IF 2.3 3区 地球科学 Q2 OCEANOGRAPHY
Joji Oida , Toru Hirawake , Youhei Yamashita , Hiroto Abe , Jun Nishioka , Hisatomo Waga , Daiki Nomura , Shigeho Kakehi
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引用次数: 0

摘要

由于最近的气候变化,导致亚北极太平洋及邻近海域(SPA)高生物产量的水团特征可能会发生变化。本研究报告了一种利用海洋色彩卫星捕获的色度溶解有机物(CDOM)的光吸收系数aCDOM(λ)将太平洋及其邻近海域的水划分为不同光学水组的方法。根据紫外线(UV)区域的 aCDOM 参数:350 纳米波长的 aCDOM(λ)(aCDOM(350))、275-295 纳米波长的光谱斜率(S275-295)和 350-400 纳米波长的光谱斜率(S350-400),我们将 2006 年至 2021 年期间通过船舶调查获得的原位样本划分为五个光学水组编号(OGN1-OGN5)。我们还利用本研究开发的机器学习技术,在可见光(VIS)区域采用卫星获得的 aCDOM(λ),采用新方法识别了 OGN。利用原位 aCDOM 参数分类的 OGN 在紫外区的分布和特征补充了对按温度和盐度分类的水团的来源和混合情况的解释。与原位样本相比,海洋颜色卫星估计 OGN 的准确率为 83.3%。卫星得出的 OGN 能够区分出预计浮游植物生产力较高的高叶绿素-a 区域。此外,通过卫星确定 OGN 的分布有助于加深对水华过程的理解。这种方法有可能有助于了解海洋加速变暖现象(如海冰减少、分层增强和河流输入增加)对水团结构的影响,以及随之而来的 SPA 浮游植物生产力的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Classification of optical water groups in the subarctic pacific and adjacent seas using satellite-derived light absorption spectra of chromophoric dissolved organic matter

The characteristics of the water masses that contribute to high biological production in the subarctic Pacific and adjacent seas (SPA) could change because of recent climate change. This study reports on a method to classify water in the SPA into distinct optical water groups using the light absorption coefficient of chromophoric dissolved organic matter (CDOM), aCDOM(λ), captured using an ocean color satellite. In situ samples obtained from ship surveys between 2006 and 2021 were classified into five optical group numbers (OGN1–OGN5) based on aCDOM parameters in the ultraviolet (UV) region: aCDOM(λ) at 350 nm (aCDOM(350)) and the spectral slopes at 275–295 nm (S275–295) and at 350–400 nm (S350–400). We were also able to identify OGN with a new method using machine learning technique developed in this study that adopted satellite-derived aCDOM(λ) in the visible (VIS) region. The distribution and characteristics of OGN classified using the in situ aCDOM parameters in the UV region supplement the interpretation of the origin and mixing of the water masses classified by temperature and salinity. Relative to in situ samples, the accuracy of the OGN estimation from the ocean color satellites was 83.3%. The satellite-derived OGN were able to distinguish high chlorophyll-a areas where high phytoplankton productivity is expected. In addition, identifying the distribution of OGN from satellites supports improved understanding of the bloom process. This method has potential to help to understand the impact of phenomena from accelerating ocean warming (e.g., sea ice decline, enhancement of stratification and increase in riverine input) on water masses structure and the consequent changes in the phytoplankton productivity in the SPA.

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来源期刊
CiteScore
4.60
自引率
4.20%
发文量
144
审稿时长
18.3 weeks
期刊介绍: Deep-Sea Research Part I: Oceanographic Research Papers is devoted to the publication of the results of original scientific research, including theoretical work of evident oceanographic applicability; and the solution of instrumental or methodological problems with evidence of successful use. The journal is distinguished by its interdisciplinary nature and its breadth, covering the geological, physical, chemical and biological aspects of the ocean and its boundaries with the sea floor and the atmosphere. In addition to regular "Research Papers" and "Instruments and Methods" papers, briefer communications may be published as "Notes". Supplemental matter, such as extensive data tables or graphs and multimedia content, may be published as electronic appendices.
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