日本地球惑星科学連合2023年大会

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[E] 口頭発表

セッション記号 A (大気水圏科学) » A-CG 大気海洋・環境科学複合領域・一般

[A-CG35] グローバル炭素循環の観測と解析

2023年5月25日(木) 10:45 〜 12:15 104 (幕張メッセ国際会議場)

コンビーナ:市井 和仁(千葉大学)、Patra Prabir(Research Institute for Global Change, JAMSTEC)、伊藤 昭彦(国立環境研究所)、座長:市井 和仁(千葉大学)

12:00 〜 12:15

[ACG35-11] CO2 sink variability in marginal seas of the western North Pacific

*飯田 洋介1石井 雅男2 (1.気象庁、2.気象研究所)

キーワード:炭素循環、海洋CO2吸収、縁辺海

Owing to many efforts of atmosphere and ocean observations and data synthesis projects during the decades, we are now, to some extent, able to reconstruct surface ocean carbonate variables and sea-air CO2 flux from observation data in combination with some machine learning methods, even in highly variable coastal and marginal seas. We investigated the variability in CO2 sink/source in marginal seas of the western North Pacific by using observation-based reconstruction of surface ocean carbonate variables. Reconstruction of monthly sea surface pCO2 and sea-air CO2 flux fields in marginal seas by 0.25° latitude and longitude were derived from using a moving-window multiple linear regression (MW-MLR) method, in which sea surface temperature and salinity, sea surface dynamic height, and chlorophyll-a concentrations were used as explanatory variables for estimating total alkalinity (TA) and total dissolved inorganic carbon (DIC) concentration. Observation data used in the learning processes of the MW-MLR method were obtained from Global Ocean Data Analysis Project version 2 2022 (GLODAPv2.2022: Lauvset et al. 2022) and Surface Ocean CO2 Atlas version 2022 (SOCATv2022: Bakker et al. 2016), whose fCO2 data were converted to DIC in combination with estimated TA. Uncertainties in estimating TA and DIC were σ=9.5 μmol/kg and σ=13.6 μmol/kg, respectively, which were calculated from prediction intervals of MLR. The total uncertainty in estimating pCO2 was σ=39.3 μatm when the carbonate system calculation errors were considered. The results showed that marginal seas around Japan were net CO2 sinks and the Bering Sea was a net source for the atmosphere during the period 1998-2022 (Fig. 1). While a primary cause of variabilities in CO2 sink is the pCO2 variability in all seas, wind speed is also significant, especially in the Sea of Japan (Fig. 2). Variabilities in pCO2 are dominated by those in sea surface temperature upon the long-term CO2 trend of increase at most seas and by those in salinity at the East China Sea (Fig. 3), which are highly affected by the large river inflow. Such estimates and analyses of marginal seas’ CO2 sink can provide a more precise figure of the regional and also global carbon cycles.