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海表层二氧化碳分压之时间序列研究进展
引用本文:薛亮,于卫东,宁春林,王辉武.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.
作者姓名:薛亮  于卫东  宁春林  王辉武
作者单位:国家海洋局第一海洋研究所海洋与气候研究中心,山东 青岛,266061
基金项目: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"
摘    要: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.

关 键 词:时间序列  二氧化碳分压  控制过程  年际变化  海—气CO2通量

Advances in Sea Surface Partial Pressure of CO2 Time-Series Studies
Xue Liang,Yu Weidong,Ning Chunlin,Wang Huiwu.Advances in Sea Surface Partial Pressure of CO2 Time-Series Studies[J].Advance in Earth Sciences,2013,28(8):859-865.
Authors:Xue Liang  Yu Weidong  Ning Chunlin  Wang Huiwu
Institution:Center for Ocean and Climate Research, First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China
Abstract:The method of sea surface partial pressure of CO2 (pCO2) time series studies is simply summarized, and the advances in indentifyingpCO2controlling processes, revealing interannual variability inpCO2, monitoring the influence of some climatic events onpCO2, and estimating air sea CO2 fluxes based on time series 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 influencepCO2, time series study could quantitively calculate separate contribution of various controlling processes topCO2 variation, which is of importance for revealingpCO2 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 Nio and La Nina events could significantly influence sea surfacepCO2 and air-sea CO2 fluxes. In addition, it is crucial to conduct time-series studies for improving the estimation of air-sea CO2 fluxes.
Keywords:Time-series  Carbon dioxide partial pressure  Controlling processes  Interannual variability  Air-sea CO2 fluxes
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