收稿日期: 2013-02-14
修回日期: 2013-04-19
网络出版日期: 2013-08-10
基金资助
国家海洋局第一海洋研究所基本科研业务专项“深海气候观测浮标集成系统”（编号：GY022012T03）资助.
Advances in Sea Surface Partial Pressure of CO2 Time-Series Studies
Received date: 2013-02-14
Revised date: 2013-04-19
Online published: 2013-08-10
简要总结了海表层二氧化碳分压（pCO2）时间序列的研究方法，重点综述了时间序列研究在确定pCO2控制过程、揭示pCO2年际差异、监测气候事件对pCO2的影响及估算海—气二氧化碳（CO2）通量等方面的研究进展。海表层pCO2时间序列的研究方法大致可以分为2类，一类是基于船舶调查，另一类是基于浮标的CO2自动测定。时间序列研究除了能够定性地记录和追踪一些特殊和偶然的物理和生物过程对pCO2的影响外，还能够定量地给出各种过程对pCO2变化的贡献，这对揭示海洋pCO2的控制机理有着重要意义。年际尺度的时间序列观测表明：人类活动已经造成了海表层pCO2的增加，厄尔尼诺事件和拉尼娜事件对海表层pCO2和海—气CO2通量有明显影响。另外，时间序列研究能够提高海—气CO2通量估算的准确性。
王辉武 , 薛亮 , 于卫东 , 宁春林 . 海表层二氧化碳分压之时间序列研究进展[J]. 地球科学进展, 2013 , 28(8) : 859 -865 . DOI: 10.11867/j.issn.1001-8166.2013.08.0859
The method of sea surface partial pressure of CO2 (pCO2) timeseries studies is simply summarized, and the advances in indentifying pCO2controlling processes, revealing interannual variability in pCO2, monitoring the influence of some climatic events on pCO2, and estimating airsea CO2 fluxes based on timeseries studies are reviewed in detail. Generally, pCO2 time-series studies are conducted by ship-based investigation and autonomous buoy CO2 measurement. Besides some qualitative observation of irregular and episodic events that influence pCO2, timeseries study could quantitively calculate separate contribution of various controlling processes to pCO2 variation, which is of importance for revealing pCO2 controlling mechanisms. Moreover, time-series studies on interannual time-scales show that human activities have caused the increase of sea surface pCO2. As well, El Nio and La Nina events could significantly influence sea surface pCO2 and air-sea CO2 fluxes. In addition, it is crucial to conduct time-series studies for improving the estimation of air-sea CO2 fluxes.
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