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The effect of wind speed products and wind speed-gas exchange relationships on interannual variability of the air-sea CO2 gas transfer velocity

机译:风速产物和风速 - 气体交换关系对海气CO2气体传递速度年际变化的影响

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摘要

The lack of a firm relationship between wind speed (U10) and gas transfer velocity (k) is considered to be one of thefactors that hinders accurate quantification of interannual variations of ocean–atmosphere CO2 fluxes. In this paperthe interannual variations of k of using four different k–U10 parametrizations are examined using wind speed datafrom the NCEP/NCAR reanalysis project. The extent to which interannual variations are faithfully reproduced in theNCEP/NCAR data is also investigated. This is carried out through comparison with QuikSCAT data. Compared with4 yr of QuikSCAT data, NCEP/NCAR data reproduce interannual k variations, although the absolute magnitude ofk is underestimated. Interannual k variation shows great sensitivity to selection of k–U10 parametrization, and in theWesterlies it changes by a factor of three depending on k–U10 parametrization. Use of monthly mean winds speedsleads to overestimation of interannual k variations compared with k variations computed using 6-hourly wind speedsand the appropriate k–U10 parametrization. Even though the effect of changing k–U10 parametrization is large enoughto be an issue that needs to be considered when computing interannual air–sea CO2 flux variations through combiningestimates of k with data for the air–sea CO2 gradient, it is not sufficient to bridge the gap between such estimates andestimates based on analyses of atmospheric oxygen, CO2 and δ13C data. Finally it is shown that the ambiguity in therelationship between wind speed and k introduces an uncertainty in interannual flux variations comparable to a bias ofinterannual ΔpCO2 variations of at most ±5 µatm.
机译:风速(U10)和气体传输速度(k)之间缺乏牢固的关系被认为是阻碍准确定量确定海洋大气CO2通量年际变化的因素之一。在本文中,使用来自NCEP / NCAR再分析项目的风速数据检查了使用四种不同的k–U10参数的k的年际变化。还研究了NCEP / NCAR数据中忠实再现年际变化的程度。这是通过与QuikSCAT数据进行比较来实现的。与4年的QuikSCAT数据相比,NCEP / NCAR数据再现了年际k变化,尽管k的绝对大小被低估了。年际k变化显示出对k–U10参数化选择的高度敏感性,在西方地区,其变化取决于k–U10参数化的三倍。与使用6小时风速和适当的k–U10参数化计算得出的k变化相比,使用月平均风速会导致高估年际k变化。即使更改k–U10参数化的影响足够大,以至于在通过将k的估计值与海海CO2梯度数据结合起来计算年际海海CO2通量变化时也需要考虑这一问题,但仍不足以桥接基于大气中氧气,CO2和δ13C数据的分析,这些估算值与估算值之间的差距。最终表明,风速与k之间的关系不明确,在年际通量变化中引入了不确定性,该不确定性与至多±5 µatm的年际ΔpCO2变化的偏差相当。

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