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首页> 外文期刊>Marine Chemistry >Variability of USA East Coast surface total alkalinity distributions revealed by automated instrument measurements
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Variability of USA East Coast surface total alkalinity distributions revealed by automated instrument measurements

机译：美国东海岸表面的可变性总碱度分布通过自动仪器测量显示

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Seawater total alkalinity (TA) is one important determinant used to monitor the ocean carbon cycle, whose spatial distributions have previously been characterized along the United States East Coast via discrete bottle samples. Using these data, several regional models for TA retrievals based on practical salinity (S) have been developed. Broad-scale seasonal or interannual variations, however, are not well resolved in these models and existing data are highly seasonally biased. This study reports findings from the first long duration deployment of a new, commercially available TA titrator aboard a research vessel and the continuous underway surface TA measurements produced. The instrument, operated on seven East Coast USA cruises during six months in 2017 and for two months in 2018 on the summertime East Coast Ocean Acidification survey (ECOA-2), collected a total of nearly 11,000 surface TA measurements. Data from these efforts, along with a newly synthesized set of more than 11,000 regional surface TA observations, are analyzed to re-examine distributions of TA and S along the United States East Coast. Overall, regional distributions of S and TA generally agreed with prior findings, but linear TA:S regressions varied markedly over time and deviated from previously developed models. This variability is likely due to a combination of biological, seasonal, and episodic influences and indicates that substantial errors of +/- 10-20 mu mol kg(-1) in TA estimation from S can be expected due to these factors. This finding has likely implications for numerical ecosystem modeling and inorganic carbon system calculations. New results presented in this paper provide refined surface TA:S relationships, present more data in space and time, and improve TA modeling uncertainty.
机译：海水总碱度（TA）是用于监测海洋碳循环的重要决定因素，其空间分布先前已经通过离散瓶样品沿着美国东海岸的特征。使用这些数据，已经开发出基于实际盐度的塔TA检索的几个区域模型。然而，在这些模型中，广泛的季节性或持续变化并不是很好地解决，并且现有数据具有高度季节性的偏见。本研究报告了从第一次长期部署新的商业上可获得的TA滴定剂的调查结果，并在研究容器和生产的连续进行的正在进行的表面TA测量。该仪器于2017年六个月内运营七个东海岸，2018年夏季东海岸海洋酸化调查（Ecoa-2），总计近11,000张表面TA测量。这些努力的数据以及新合成的超过11,000个区域表面TA观测结果，分析了在美国东海岸沿着美国东海岸的TA和S分布进行了分析。总体而言，S和TA的区域分布通常同意先前的发现，但线性TA：S回归随着时间的推移显着变化并偏离以前开发的模型。这种可变性可能是由于生物，季节性和焦化的组合，并且表明由于这些因素，可以预期来自S的TA估计中的+/-10-20μmolkg（-1）的大量误差。该发现可能对数值生态系统建模和无机碳系统计算有所影响。本文提出的新结果提供了精致的表面Ta：S的关系，在空间和时间内提供更多数据，并改善TA建模不确定性。

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