中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 海洋研究所
  3. 中国科学院海洋研究所
  4. 海洋生态与环境科学重点实验室
Optimum Estimation of Sea-Air Carbon Dioxide Fluxes Considering Diurnal Variations

文献类型：期刊论文

作者Wang, Zhibo2,3,4; Zhang, Naixing1; Song, Jinming2,3,4; Li, Xuegang2,3,4; Wang, Rui2,3,4; Liu, Shanshan2,3,4; Ma, Jun2,3,4; Yuan, Huamao2,3,4; Duan, Liqin2,3,4
刊名JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
出版日期2025-11-12
卷号130期号:11页码:12
关键词pCO2 carbon flux diurnal variation photosynthetically active radiation Southern Yellow Sea
ISSN号2169-9275
DOI10.1029/2025JC023065
通讯作者Zhang, Naixing(305270796@qq.com) ; Song, Jinming(jmsong@qdio.ac.cn)
英文摘要A significant issue in estimating sea-air CO2 flux (FCO2) in marginal seas is the reliance on single-survey data, ignoring significant diurnal variations and causing large uncertainties. Here, we analyzed 12 days of observations from March to September 2012 near Xiaomai Island in the Southern Yellow Sea to investigate the factors influencing FCO2 and identified wind speed (WS10m) and surface seawater CO2 partial pressure (pCO2,sw) as the primary sources of uncertainty. Based on these, we used the monthly average WS10m instead of real-time WS10m to calculate CO2 flux, significantly reducing the standard deviation (sigma) of FCO2 from 2.58 to 0.53 mmolCm-2d-1. In addition, the pronounced diurnal variation in pCO2,sw introduces considerable uncertainty in CO2 flux observations. Meanwhile, we found that photosynthetically active radiation (PAR) is a major factor controlling the diurnal variation of pCO2,sw. Therefore, we developed a PAR-based correction method for pCO2,sw, which further lowered the sigma of FCO2 to 0.32 mmolCm-2d-1. These improvements provide a new method to reduce uncertainties in FCO2 estimates derived from single-survey data in marginal seas.
WOS关键词CO2 ; PCO(2) ; IMPACT
资助项目Shandong Provincial Postdoctoral Project[SDCX-ZG-202400181] ; Qingdao Postdoctoral Applied Research Project[QDBSH20240101018] ; National Natural Science Foundation of China[42176200] ; National Key Research and Development Program of China[2022YFC3104305] ; Postdoctoral Fellowship Program of CPSF[GZC20232705]
WOS研究方向Oceanography
语种英语
WOS记录号WOS:001612926000001
出版者AMER GEOPHYSICAL UNION
源URL[http://ir.qdio.ac.cn/handle/337002/203785]  
专题海洋研究所_海洋生态与环境科学重点实验室
通讯作者Zhang, Naixing; Song, Jinming
作者单位1.Minist Nat Resources, North Sea Forecast & Disaster Reduct Ctr, Qingdao, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Qingdao Marine Sci & Technol Ctr, Funct Lab Marine Ecol & Environm Sci, Qingdao, Peoples R China
4.Chinese Acad Sci, Key Lab Marine Ecol & Environm Sci, Inst Oceanol, Qingdao, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Zhibo,Zhang, Naixing,Song, Jinming,et al. Optimum Estimation of Sea-Air Carbon Dioxide Fluxes Considering Diurnal Variations[J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS,2025,130(11):12.
APA Wang, Zhibo.,Zhang, Naixing.,Song, Jinming.,Li, Xuegang.,Wang, Rui.,...&Duan, Liqin.(2025).Optimum Estimation of Sea-Air Carbon Dioxide Fluxes Considering Diurnal Variations.JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS,130(11),12.
MLA Wang, Zhibo,et al."Optimum Estimation of Sea-Air Carbon Dioxide Fluxes Considering Diurnal Variations".JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS 130.11(2025):12.

入库方式： OAI收割

来源：海洋研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。