Climatology of nutrient distributions in the South China Sea based on a large data set derived from a new algorithm
Climatology of nutrient distributions in the South China Sea based on a large data set derived from a new algorithm
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基于新算法得出的大数据集的南海养分分布气候学
DOI：
10.1016/j.pocean.2021.102586
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发表时间：
2021-04
影响因子：
4.1
通讯作者：
Dai Minhan
中科院分区：
文献类型：
--
作者：
Du Chuanjun;He Ruoying;Liu Zhiyu;Huang Tao;Wang Lifang;Yuan Zhongwei;Xu Yanping;Wang Zhe;Dai Minhan
营养物通常是海洋生态系统生产力的最重要决定因素。因此，在现代海洋学时代，营养盐已成为海洋观测的重要变量。然而，对海洋生态系统和海洋地球化学的了解在很大程度上受到营养数据时空覆盖范围的限制。在此，我们开发了一种新的算法的基础上，一个大型的观测数据集的营养盐及其与水的质量指数的温度和盐度在中国南海（SCS）的关系。该算法对NO3-+ NO2-（N + N）、磷酸盐和硅酸盐的误差分别为≤ 1.3、≤ 0.10和≤ 3.5 μmol L− 1。然后，它主要使用1940-2018年期间世界海洋数据库和Argo数据库中存档的温度和盐度数据来重建营养盐浓度。它将营养数据增加到大约500万。与SCS中的直接测量相比，三个数量级。这使得在南海的营养物质的季节性气候的全面检查。在夏季，在上层200米，营养盐浓度在南海西北部和最南端高于其余的南海。在冬季，当较高的营养盐浓度被发现在中央盆地，而不是盆地边缘的整体反转模式。黑潮的入侵和营养线的垂直位移，由上升流/下降流引起的水平收敛/发散在中观尺度和流域尺度，决定了营养盐的空间和季节变化。在季节上，黑潮入侵和营养层的垂直位移往往抵消营养盐浓度的空间变化在春季，而在秋季，他们表现出累加效应。
Nutrients are typically the most important determinant of the productivity of marine ecosystems. Hence, nutrients have been an essential variable of ocean observations in the modern oceanography era. Understanding of marine ecosystems and biogeochemistry, however, is largely limited by the spatiotemporal coverage of nutrient data. Herein, we developed a novel algorithm based on a large observational dataset of nutrients and their relationship with water masses indexed by temperature and salinity in the South China Sea (SCS). The algorithm yielded errors of ≤ 1.3, ≤ 0.10 and ≤ 3.5 μmol L−1for NO3–+ NO2–(N + N), phosphate and silicate, respectively. It is then applied to reconstruct nutrient concentrations primarily using temperature and salinity data archived in the World Ocean Database and Argo database during 1940–2018. It increases the nutrient data to ~ 5 million, by ca. three orders of magnitude compared to direct measurements in the SCS. This allows for a full examination of the seasonal climatology of nutrients in the SCS. In summer, in the upper 200 m, nutrient concentrations in the northwest and southernmost SCS are higher than in the rest of the SCS. An overall reversed pattern is revealed in winter, when higher nutrient concentrations are found in the central basin rather than basin margins. The Kuroshio intrusion and the vertical displacement of the nutricline, driven by upwelling/downwelling induced by horizontal convergences/divergences at both meso- and basin scales, determine the spatial and seasonal variation of nutrients. Seasonally, the Kuroshio intrusion and vertical displacements of the nutricline tend to offset the spatial variation of nutrient concentrations in spring, while they show an additive effect in the fall.
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影响因子：
3.6
作者：
Qu, T;Mitsudera, H;Yamagata, T
通讯作者：
Yamagata, T
DOI：
10.1029/2012jg002073
发表时间：
2013-03
期刊：
Journal of Geophysical Research: Biogeosciences
影响因子：
--
作者：
M. Peichl;Jörgen Sagerfors;A. Lindroth;I. Buffam;A. Grelle;L. Klemedtsson;H. Laudon;M. Nilsson
通讯作者：
M. Peichl;Jörgen Sagerfors;A. Lindroth;I. Buffam;A. Grelle;L. Klemedtsson;H. Laudon;M. Nilsson
影响因子：
2.8
作者：
T. Moutin;P. Raimbault
通讯作者：
T. Moutin;P. Raimbault
影响因子：
5.2
作者：
M. Voss;Deniz Bombar;N. Loick;J. Dippner
通讯作者：
M. Voss;Deniz Bombar;N. Loick;J. Dippner
影响因子：
3
作者：
Chen, CTA;Wang, SL;Pai, SC
通讯作者：
Pai, SC