Regional Uncertainty Analysis in the Air-Sea CO2 Flux

被引:0
作者
Gloege, L. [1 ,2 ]
Eisaman, M. D. [1 ,2 ]
机构
[1] Yale Univ, Dept Earth & Planetary Sci, New Haven, CT 06520 USA
[2] Yale Univ, Yale Ctr Nat Carbon Capture, New Haven, CT 06520 USA
关键词
GAS-EXCHANGE; CARBON-CYCLE; OCEAN; MODEL; SYSTEM; TEMPERATURE; CLIMATE; VARIABILITY; PCO(2); ICE;
D O I
10.1029/2024EA004032
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Accurate quantification of the ocean carbon sink and its associated uncertainty is critical for guiding international policy efforts and the accurate monitoring, reporting, and verification of marine carbon dioxide removal interventions. Here we use error propagation to break down the uncertainty in air-sea CO2 ${\text{CO}}_{2}$ flux into three primary sources: the gas transfer velocity kw $\left({k}_{w}\right)$, the solubility K0 $\left({K}_{0}\right)$, and the difference in partial pressure of CO2 ${\text{CO}}_{2}$ Delta pCO2 $\left({\Delta }{\text{pCO}}_{2}\right)$ between the ocean and atmosphere. These are further decomposed into uncertainties from the underlying variables (e.g., temperature and salinity used to calculate K0 ${K}_{0}$). We find gas transfer velocity is the dominant term driving uncertainty in the air-sea CO2 ${\text{CO}}_{2}$ flux. K0 ${K}_{0}$ and Delta pCO2 ${\Delta }{\text{pCO}}_{2}$ drive uncertainty near river mouths and eastern boundary upwelling zones, respectively. This methodology provides a foundation for a comprehensive quantification of uncertainty and its underlying drivers. The software used in this study is publicly available (Gloege, 2024, ).
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页数:12
相关论文
共 73 条
[61]   Relationship between wind speed and gas exchange over the ocean revisited [J].
Wanninkhof, Rik .
LIMNOLOGY AND OCEANOGRAPHY-METHODS, 2014, 12 :351-362
[62]   Advances in Quantifying Air-Sea Gas Exchange and Environmental Forcing [J].
Wanninkhof, Rik ;
Asher, William E. ;
Ho, David T. ;
Sweeney, Colm ;
McGillis, Wade R. .
ANNUAL REVIEW OF MARINE SCIENCE, 2009, 1 :213-244
[63]   Revised estimates of ocean-atmosphere CO2 flux are consistent with ocean carbon inventory [J].
Watson, Andrew J. ;
Schuster, Ute ;
Shutler, Jamie D. ;
Holding, Thomas ;
Ashton, Ian G. C. ;
Landschuetzer, Peter ;
Woolf, David K. ;
Goddijn-Murphy, Lonneke .
NATURE COMMUNICATIONS, 2020, 11 (01)
[64]  
Webb R. M., 2024, Executive actions to ensure safe and responsible ocean carbon dioxide removal research in the United States
[65]  
Webb R. M., 2024, International governance of oceanbased carbon dioxide removal: Recent developments and future directions
[66]  
Webb R. M., 2023, Developing model federal legislation to advance safe and responsible ocean carbon dioxide removal research in the United States
[67]  
Weiss R.F., 1974, Mar. Chem., V2, P203, DOI DOI 10.1016/0304-4203(74)90015-2
[68]   On the calculation of air-sea fluxes of CO2 in the presence of temperature and salinity gradients [J].
Woolf, D. K. ;
Land, P. E. ;
Shutler, J. D. ;
Goddijn-Murphy, L. M. ;
Donlon, C. J. .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2016, 121 (02) :1229-1248
[69]   Role of jellyfish in the plankton ecosystem revealed using a global ocean biogeochemical model [J].
Wright, Rebecca M. ;
Le Quere, Corinne ;
Buitenhuis, Erik ;
Pitois, Sophie ;
Gibbons, Mark J. .
BIOGEOSCIENCES, 2021, 18 (04) :1291-1320
[70]   Surface ocean CO2 concentration and air-sea flux estimate by machine learning with modelled variable trends [J].
Zeng, Jiye ;
Iida, Yosuke ;
Matsunaga, Tsuneo ;
Shirai, Tomoko .
FRONTIERS IN MARINE SCIENCE, 2022, 9