Basin‐scale pCO2 distribution using satellite sea surface temperature, Chl a, and climatological salinity in the North Pacific in spring and summer
Basin‐scale pCO2 distribution using satellite sea surface temperature, Chl a, and climatological salinity in the North Pacific in spring and summer
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DOI：
10.1029/2005gb002594
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发表时间：
2006-09
影响因子：
5.2
通讯作者：
V. V. S. S. Sarma-V.-V.-S.-S.-Sarma-2263831254;T. Saino;K. Sasaoka;Y. Nojiri;T. Ono;Masao Ishii;H. Inoue;Kazuhiko Matsumoto
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文献类型：
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作者：
V. V. S. S. Sarma-V.-V.-S.-S.-Sarma-2263831254;T. Saino;K. Sasaoka;Y. Nojiri;T. Ono;Masao Ishii;H. Inoue;Kazuhiko Matsumoto
提出了一种利用卫星反演的海表温度（SST）、叶绿素a浓度（chl a）和气候学海表盐度（SSS）估算北太平洋二氧化碳分压（pCO 2）流域尺度分布的经验方法。在该方法中，混合层溶解无机碳（DIC）与SST、SSS和Chl a之间建立了多元回归方程，而混合层总碱度（TA）与SSS之间建立了线性回归方程。DIC-SST关系在SST 27.5°C时表现出三种不同的斜率。因此，已参照SST对数据进行分组。回归方程开发了两个季节（春季和夏季）。DIC和TA的回归误差分别为10.5和5 μmol kg−1。使用Mehrbach等人（1973）给出的解离常数（由Dickson和Millero（1987）重新拟合），根据估计的DIC和TA计算pCO 2。计算得到的pCO_2值与船上pCO_2观测值在17-23 μatm的误差范围内一致。对估算DIC的回归方程的敏感性检验表明，SSS是影响DIC的最大参数，其次是SST和Chl a。使用分别来自高级甚高分辨率辐射计（AVHRR）和SeaWiFS（海景宽视场传感器）的月平均SST和Chl a场，以及气候SSS，计算每月流域尺度pCO 2场。统计模型得出的pCO 2结果与北太平洋正在进行的pCO 2一致。这项研究强烈表明，基于卫星的技术是在流域尺度上估计pCO 2场的有前途的工具，但相关的误差线大于研究海洋人为碳吸收所需的误差线。结合更多的现场船上数据可能有助于改进估计方程，并进一步减少误差。
An empirical method is presented for the estimation of basin‐scale distribution of partial pressure of carbon dioxide (pCO2) in the North Pacific using satellite‐derived sea surface temperature (SST), chlorophyll‐a concentrations (chl a), and climatological sea surface salinity (SSS). In this approach, multiple regression equations were developed to compute mixed layer dissolved inorganic carbon (DIC) based on SST, SSS and Chl a, whereas mixed layer total alkalinity (TA) was linearly regressed with SSS. The DIC‐SST relation exhibited three different slopes at SST 27.5°C. Therefore data have been grouped with reference to SST. Regression equations were developed for two seasons (spring and summer). The regression errors for DIC and TA were 10.5 and 5 μmol kg−1, respectively. The pCO2 was computed from the estimated DIC and TA using dissociation constants given by Mehrbach et al. (1973), refit by Dickson and Millero (1987). The derived pCO2 agreed with the shipboard pCO2 observations within an error of 17–23 μatm. The sensitivity test on the regression equations for DIC estimation indicated that SSS is the most influencing parameter, followed by SST and Chl a. Using the monthly average SST and Chl a fields derived from the Advanced Very High Resolution Radiometer (AVHRR) and SeaWiFS (Sea‐viewing Wide Field of view Sensor), respectively, and climatological SSS, monthly basin‐scale pCO2 fields were computed. The statistical model derived pCO2 results are in agreement with underway pCO2 in the North Pacific. This study strongly suggests that satellite‐based techniques are promising tools for estimation of pCO2 fields on a basin scale but the associated error bars are larger than required to study anthropogenic carbon uptake by the oceans. Incorporation of more in situ shipboard data may help in refining the estimating equations and reducing the errors further.