A growing oceanic carbon uptake: Results from an inversion study of surface pCO2 data
A growing oceanic carbon uptake: Results from an inversion study of surface pCO2 data
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不断增长的海洋碳吸收：表面 pCO2 数据反演研究的结果
DOI：
10.1002/2013gb004585
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发表时间：
2014
影响因子：
5.2
通讯作者：
K. Rodgers
中科院分区：
文献类型：
--
作者：
Joseph D. Majkut;J. Sarmiento;K. Rodgers
社会各界共同努力，致力于制作海-气二氧化碳通量的权威气候学，但事实证明，确定二氧化碳通量的十年趋势更具挑战性。现有的地表二氧化碳估计值过于稀疏，无法使用简单的线性模型将长期趋势与年代际和季节性变化区分开来。我们引入了马尔可夫链蒙特卡罗抽样作为一种新的技术来估计海洋表面的历史二氧化碳浓度。其结果是基于可用测量和从模型模拟推断的可变性，得出了表面二氧化碳的可信历史。将该方法应用到现代二氧化碳数据数据库中，我们发现三分之二的海洋表面正在增加对二氧化碳的吸收，平均(2000年)人为碳的吸收为2.3±0.5pGC yr−1，在30年期间全球年吸收的二氧化碳增加了0.4±0.1pGC yr−1十年−1。这一结果在南大洋特别有趣，与以前的研究相比，我们在那里发现在这段时间内碳吸收的增加。我们发现有证据表明，随着风的增加，深海碳的通风增加，而与之相关的表面冷却抵消了这一点。
Concerted community efforts have been devoted to producing an authoritative climatology of air‐sea CO2 fluxes, but identifying decadal trends in CO2 fluxes has proven to be more challenging. The available surface pCO2 estimates are too sparse to separate long‐term trends from decadal and seasonal variability using simple linear models. We introduce Markov Chain Monte Carlo sampling as a novel technique for estimating the historical pCO2 at the ocean surface. The result is a plausible history of surface pCO2 based on available measurements and variability inferred from model simulations. Applying the method to a modern database of pCO2 data, we find that two thirds of the ocean surface is trending toward increasing uptake of CO2, with a mean (year 2000) uptake of 2.3 ± 0.5 PgC yr−1 of anthropogenic carbon and an increase in the global annual uptake over the 30 year time period of 0.4 ± 0.1 PgC yr−1 decade−1. The results are particularly interesting in the Southern Ocean, where we find increasing uptake of carbon over this time period, in contrast to previous studies. We find evidence for increased ventilation of deep ocean carbon, in response to increased winds, which is more than offset by an associated surface cooling.
影响因子：
11.4
作者：
C. Sabine;S. Hankin;H. Koyuk;D. Bakker;B. Pfeil;A. Olsen;N. Metzl;A. Kozyr;A. Fassbender;A. Manke;J. Malczyk;J. Akl;S. Alin;R. Bellerby;A. Borges;J. Boutin;P. Brown;W. Cai;F. Chavez;A. Chen;C. Cosca;R. Feely;M. González-Dávila;C. Goyet;N. Hardman-Mountford;C. Heinze;M. Hoppema;C. W. Hunt;D. Hydes;M. Ishii;T. Johannessen;R. Key;A. Körtzinger;P. Landschützer;S. Lauvset;N. Lefèvre;A. Lenton;A. Lourantou;L. Merlivat;T. Midorikawa;L. Mintrop;C. Miyazaki;A. Murata;A. Nakadate;Y. Nakano;S. Nakaoka;Y. Nojiri;A. Omar;X. A. Padin;G. Park;K. Paterson;F. F. Pérèz-F.;D. Pierrot;A. Poisson;A. Ríos;J. Salisbury;J. Santana-Casiano;V. Sarma;R. Schlitzer;B. Schneider;U. Schuster;R. Sieger;I. Skjelvan;T. Steinhoff;T. Suzuki;Taro Takahashi;K. Tedesco;M. Telszewski;H. Thomas;B. Tilbrook;D. Vandemark;T. Veness;A. Watson;R. Weiss;C. S. Wong;H. Yoshikawa‐Inoue
通讯作者：
C. Sabine;S. Hankin;H. Koyuk;D. Bakker;B. Pfeil;A. Olsen;N. Metzl;A. Kozyr;A. Fassbender;A. Manke;J. Malczyk;J. Akl;S. Alin;R. Bellerby;A. Borges;J. Boutin;P. Brown;W. Cai;F. Chavez;A. Chen;C. Cosca;R. Feely;M. González-Dávila;C. Goyet;N. Hardman-Mountford;C. Heinze;M. Hoppema;C. W. Hunt;D. Hydes;M. Ishii;T. Johannessen;R. Key;A. Körtzinger;P. Landschützer;S. Lauvset;N. Lefèvre;A. Lenton;A. Lourantou;L. Merlivat;T. Midorikawa;L. Mintrop;C. Miyazaki;A. Murata;A. Nakadate;Y. Nakano;S. Nakaoka;Y. Nojiri;A. Omar;X. A. Padin;G. Park;K. Paterson;F. F. Pérèz-F.;D. Pierrot;A. Poisson;A. Ríos;J. Salisbury;J. Santana-Casiano;V. Sarma;R. Schlitzer;B. Schneider;U. Schuster;R. Sieger;I. Skjelvan;T. Steinhoff;T. Suzuki;Taro Takahashi;K. Tedesco;M. Telszewski;H. Thomas;B. Tilbrook;D. Vandemark;T. Veness;A. Watson;R. Weiss;C. S. Wong;H. Yoshikawa‐Inoue