Hindcast (back to 1955) and forecast (up to 2100) of sea-surface pH at BATS and hydrostation S (Bermuda area)

IF 2.9 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Nadia Ben Hadid, Guglielmi Véronique, Touratier Franck, Goyet Catherine
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引用次数: 0

Abstract

Time-series measurements in the North Atlantic Ocean at the Hydrostation S site (32°10′N, 64°30′W), started in 1954. At that time, temperature and salinity were measured but it was not yet possible to measure the properties of the oceanic carbon cycle. We use these important hydrographic data with the knowledge acquired from more recent measurements (since 1989) of the CO2/carbonate properties at the near-by Bermuda Atlantic Time Series Study (BATS; 31°40′N, 64°10′W), to reconstruct, using two different approaches based upon multi-linear-regressions, the pH at this hydrostation S since its beginning. The results provide good estimates of the ocean acidification in the ocean surface of the area of stations S and BATS since the mid 1950’s, an unprecedented near 70-year trend of ocean acidification, as well as a simple way to forecast to 2100 its variations according to the various scenarios of atmospheric CO2 fugacity increase. The simplest approach shown here, further provides an easy way to estimate surface ocean acidification from satellite sea surface temperature measurements.

BATS及S水站(百慕达地区)的海面酸碱度预测(至1955年)及预测(至2100年)
北大西洋S站(北纬32°10′,西经64°30′)的时间序列测量始于1954年。当时,测量了温度和盐度,但还无法测量海洋碳循环的性质。我们将这些重要的水文数据与最近(自1989年以来)在附近的百慕大大西洋时间序列研究(BATS;31°40'N, 64°10'W),使用基于多元线性回归的两种不同方法重建该水站S自建立以来的pH值。结果提供了自20世纪50年代中期以来S站和BATS站区域海洋表面酸化的良好估计,以及前所未有的近70年海洋酸化趋势,以及根据大气CO2逸度增加的各种情景预测其到2100年变化的简单方法。这里展示的最简单的方法进一步提供了一种通过卫星海面温度测量来估计海洋表面酸化的简单方法。
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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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