Abstract
We used an eddy-permitting three-dimensional ocean ecosystem model and applied it in the western North Pacific to understand the seasonal variations and horizontal distributions of the air–sea CO2 flux and difference in the partial pressure between sea water and the atmosphere (∆pCO2). The high-resolution model reproduced the observed zonal belt of strong CO2 uptake in the mid-latitude (30–45°N) western North Pacific including the Kuroshio extension and mixed water regions, which was difficult to show in previous coarse-resolution models. The East Asian winter monsoon, an important phenomenon in the western North Pacific, affects the seasonal CO2 air–sea gas exchange with a high (low) gas transfer coefficient in winter (summer). In the subtropical region, ∆pCO2 is negative in winter and positive in summer as a result of the temperature effect. Combination of seasonal change in gas transfer coefficient with ∆pCO2 suppresses CO2 release in the subtropical region, and vice versa in the subarctic region (i.e., suppresses CO2 uptake). That is, the East Asian winter monsoon in the western North Pacific contributes to the reduction of the annual CO2 flux through the seasonal change in the gas transfer coefficient, leading to an overall annual CO2 uptake in the subtropical region and CO2 release in the subarctic region.
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Acknowledgments
The authors wish to thank Drs. Yukihiro Nojiri and Shin-ichiro Nakaoka for offering the observed pCO2 data. We would like to thank Drs. Masahiko Fujii, Naosuke Okada, and Masahito Shigemitsu for their helpful comments. Xuanrui **ong was supported by the Development of Mitigation and Adaptation Techniques to Global Warming project in the sectors of agriculture, forestry, and fisheries, and the Rotary Yoneyama Memorial Foundation. Taketo Hashioka was supported by the Grant-in-Aid for the Global COE Program from MEXT and Young Researcher Overseas Visits Program for Vitalizing Brain Circulation from the Japan Society for the Promotion of Science (JSPS). Yasuhiro Yamanaka was also supported by Core Research for Evolutional Science and Technology (CREST) from the Japan Science and Technology Agency (JST).
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Appendices
Appendix 1: a sensitivity experiment by using JRA 25 wind data
We obtained results by using wind data from the Japanese 25-year Reanalysis (JRA-25) (http://jra.kishou.go.jp/JRA-25/index_en.html) instead of MIROC wind data. The JRA-25 is compiled by the Japan Meteorological Agency (JMA) and the Central Research Institute of Electric Power Industry (CRIEPI). The 6-hourly surface (10 m) zonal and meridional wind data from 1980 to 1989 are taken to the calculate CO2 gas transfer coefficient. Wind data from the JRA-25 show a similar tendency of daily change with MIROC wind (Fig. 9). Two wind products are also similar to the probability statistical distribution of the number of occurrences. The frequency of high wind speed (e.g., greater than 10 m/s) in the MIROC wind is slightly greater than that in the JRA-25 wind both at the Kuroshio extension site and at the subarctic site, whereas it is less than in the JRA-25 at the subtropical site (Fig. 10).
Although the CO2 gas transfer coefficient calculated by using JRA-25 wind is slightly lower than that calculated by using MIROC wind, the results of the annually averaged ∆pCO2 and air–sea CO2 flux calculated by using JRA-25 wind are similar to the results calculated by using MIROC wind. Maxima of the CO2 gas transfer coefficients calculated by using JRA-25 wind are about 4.0 × 10−9 mol m−2 s−1 μatm−1 in monthly average in February and 2.75 × 10−9 mol m−2 s−1 μatm−1 in annual average, respectively (Fig. 11), while there are areas in which CO2 gas transfer coefficients are greater than 4.5 × 10−9 mol m−2 s−1 μatm−1 in February and 3.0 × 10−9 mol m−2 s−1 μatm−1 in annual average calculated by using MIROC wind (Figs. 4c, 5c). Annually averaged ∆pCO2 and air–sea CO2 flux calculated by using JRA-25 winds show similar distributions to standard experimental results except that positive areas of annually averaged ∆pCO2 are contracted compared with the standard experimental results (Figs. 5, 12). Both results calculated by using JRA-25 wind and MIROC wind show that \(\overline{{\varepsilon^{'} \Delta p{\text{CO}}_{2}^{'} }}\) are negative in the subtropical region and positive in the arctic region (Figs. 12d, 6b).
Annually averaged a ∆pCO2, b air–sea CO2 flux, c is the same as b except for shaded areas showing the areas in which signs of the annually averaged ∆pCO2 and the air–sea CO2 flux are different from each other. d Difference between results of \(\overline{F}\) and \(\overline{{F^{*} }}\), i.e., \(\overline{{\varepsilon^{'} \Delta p{\text{CO}}_{2}^{'} }}\), which is affected by combination of seasonal changes in ε with ∆pCO2. e Difference between monthly averaged \(\overline{{F_{\text{monthly}} }}\) and \(\overline{{F_{\text{monthly}}^{*} }}\) in February, and f in August
Appendix 2: a sensitivity experiment by using a coefficient of 0.26
The gas transfer piston velocity κ in Eq. (3) in this study is 0.31, based on Wanninkhof et al. (1992). Sweeney et al. (2007), Takahashi et al. (2009), and Wanninkhof et al. (2013) suggested using the coefficient of 0.27, 0.26, and 0.251 to calculate the gas transfer piston velocity, respectively. The coefficient of 0.26 was used to estimate the air–sea CO2 flux and the results are shown in Fig. 13.
a–f Are the same as Fig. 12. a–f except for calculating by using model wind data and using gas transfer piston velocity κ calculated with a coefficient of 0.26
The distributions of the air–sea CO2 flux are similar to the results calculated by using 0.31 (Figs. 5b, 13b; Figs. 6b, 13d). The western North Pacific is a strong sink for atmospheric CO2 except for the areas off the Kuril Islands and south Bering Sea. A belt of strong CO2 sink zone is located in mid-latitude (30–45°N), and the greatest absolute value of the air–sea CO2 flux is more than −3.2 mol m−2 year−1.
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**ong, X., Masuda, Y., Hashioka, T. et al. Effect of seasonal change in gas transfer coefficient on air–sea CO2 flux in the western North Pacific. J Oceanogr 71, 685–701 (2015). https://doi.org/10.1007/s10872-015-0313-5
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DOI: https://doi.org/10.1007/s10872-015-0313-5