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Controlling factor analysis of oceanic surface pCO2 in the South China Sea using a three-dimensional high-resolution biogeochemical model
Frontiers in Marine Science ( IF 3.7 ) Pub Date : 2023-05-25 , DOI: 10.3389/fmars.2023.1155979 Miaoyin Zhang , Xueming Zhu , Xuanliang Ji , Anmin Zhang , Jingjing Zheng
Frontiers in Marine Science ( IF 3.7 ) Pub Date : 2023-05-25 , DOI: 10.3389/fmars.2023.1155979 Miaoyin Zhang , Xueming Zhu , Xuanliang Ji , Anmin Zhang , Jingjing Zheng
The oceanic surface pressure of CO2 (p CO2 ) is an essential parameter for understanding the global and regional carbon cycle and the oceanic carbon uptake capacity. We constructed a three-dimensional physical-biogeochemical model with a high resolution of 1/30° for the South China Sea (SCS) to compensate for the limited temporal coverage and limited spatial resolution of the observations and numerical models. The model simulated oceanic surface p CO2 from 1992 to 2021, and the empirical orthogonal function analysis (EOF) of the model results is conducted for a better understanding of the seasonal and interannual variations of oceanic surface p CO2 in this region. The model results showed that the SCS serves as an atmospheric CO2 source from March to October and a sink from November to February, with a domain-averaged climatological oceanic surface p CO2 value that varies between 357 and 408 μatm, and the temporal variation was positively correlated with the variation of sea surface temperature (SST). The majority of the SCS showed a long-term increasing trend for oceanic surface p CO2 with a value of (1.19±0.60) μatm/a, which is in response to the continuously rising atmospheric CO2 concentration. The first EOF mode is positively correlated with the Niño 3 index with a correlation coefficient of 0.51 when the Niño 3 leads 5 months, and the second EOF mode is correlated with the PDO index when the PDO leads 7 months, which suggests an influence of climate variability on the carbonate system. Moreover, it was found that the long-term trend rate of oceanic surface p CO2 was mainly controlled by total CO2 (TCO2 ) through the decomposition of influence factors, and SST variation took a dominant role in seasonal variations of p CO2 . With rapid global warming and continuous release of CO2 , the carbonate system in the SCS may change leading to calcite and aragonite saturation.
中文翻译:
基于三维高分辨率生物地球化学模型的南海海面pCO2控制因素分析
CO 的海洋表面压力2个 (p 一氧化碳2个 ) 是了解全球和区域碳循环以及海洋碳吸收能力的重要参数。我们为南海 (SCS) 构建了一个分辨率为 1/30° 的三维物理-生物地球化学模型,以弥补观测和数值模型的有限时间覆盖和有限空间分辨率。该模型模拟海洋表面p 一氧化碳2个 从1992年到2021年,并对模型结果进行经验正交函数分析(EOF),以更好地了解海洋表面的季节和年际变化p 一氧化碳2个 在这个地区。模型结果表明,SCS 作为大气 CO2个 3 月至 10 月的源和 11 月至 2 月的汇,具有域平均气候海洋表面p 一氧化碳2个 值在 357 和 408 μatm 之间变化,时间变化与海面温度(SST)的变化呈正相关。南海绝大部分海面呈长期增加趋势p 一氧化碳2个 值为(1.19±0.60)μatm/a,响应大气中CO持续升高2个 专注。第一种EOF模态与Niño 3指数正相关,当Niño 3超前5个月时,相关系数为0.51;当PDO超前7个月时,第二种EOF模态与PDO指数相关,表明气候的影响碳酸盐系统的变异性。此外,还发现海洋表面的长期趋势率p 一氧化碳2个 主要受控于总CO2个 (总拥有成本2个 )通过影响因素的分解,SST变化在季节变化中起主导作用p 一氧化碳2个 . 随着全球迅速变暖和CO的不断释放2个 ,南海的碳酸盐系统可能发生变化,导致方解石和文石饱和。
更新日期:2023-05-25
中文翻译:
基于三维高分辨率生物地球化学模型的南海海面pCO2控制因素分析
CO 的海洋表面压力