Real‐time estimation of pH and aragonite saturation state from Argo profiling floats: Prospects for an autonomous carbon observing strategy
Real‐time estimation of pH and aragonite saturation state from Argo profiling floats: Prospects for an autonomous carbon observing strategy
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Argo 剖面浮标实时估计 pH 值和文石饱和状态：自主碳观测策略的前景
DOI：
10.1029/2011gl048580
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发表时间：
2011
影响因子：
5.2
通讯作者：
Lisa A. Miller
中科院分区：
文献类型：
--
作者：
Laurie W. Juranek;R. Feely;Denis Gilbert;H. Freeland;Lisa A. Miller
我们展示了从东北亚北极太平洋的Argo剖面浮子中获得pH和碳酸盐矿物饱和状态准确估计的能力（Ω）。利用东北太平洋地区的水文调查，我们开发了经验算法，利用温度(T)和溶解O2的观测来预测pH和Ω。对于30-500 m之间，σθ < 27.1的数据，我们得到R2值大于0.98，均方根误差分别为0.018 （pH）、0.052 （Ωarag）和0.087 （Ωcalc）。在校准基于optode的O2数据后，我们将算法应用于Argo剖面浮标的T和O2数据，以产生东北亚北极太平洋上层水柱14个月的时间序列估计pH和Ωarag。与2010年在附近收集的独立数据相比，pH值和Ωarag估计值是可靠的。虽然该方法不允许检测pH或Ωarag的人为趋势，但该方法将提供对这些参数的自然变化和关键生物地球化学控制的见解。最重要的是，这项工作表明，校准良好的区域算法和Argo浮标数据的组合可以作为全球海洋碳观测策略的低成本，易于部署的组成部分。
We demonstrate the ability to obtain accurate estimates of pH and carbonate mineral saturation state (Ω) from an Argo profiling float in the NE subarctic Pacific. Using hydrographic surveys of the NE Pacific region, we develop empirical algorithms to predict pH and Ω using observations of temperature (T) and dissolved O2. We attain R2 values greater than 0.98 and RMS errors of 0.018 (pH), 0.052 (Ωarag), and 0.087 (Ωcalc) for data between 30–500 m, σθ < 27.1. After calibrating optode‐based O2 data, we apply the algorithms to T and O2 data from an Argo profiling float to produce a 14 month time‐series of estimated pH and Ωarag in the upper water column of the NE subarctic Pacific. Comparison to independent data collected nearby in 2010 indicates pH and Ωarag estimates are robust. Although the method will not allow detection of anthropogenic trends in pH or Ωarag, this approach will provide insight into natural variability and the key biogeochemical controls on these parameters. Most importantly, this work demonstrates that an assemblage of well‐calibrated regional algorithms and Argo float data can be used as a low‐cost, readily‐deployable component of a global ocean carbon observing strategy.