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Zhang M, Cheng Y, Zhang H, Huang C, Wang G, Zhao C, Zhang Y, Yang Q, Song Z, Qiao F. Spatiotemporal variability of air-sea CO 2 fluxes in response to El Niño-related marine heatwaves in the tropical Pacific Ocean. MARINE ENVIRONMENTAL RESEARCH 2025; 204:106949. [PMID: 39798229 DOI: 10.1016/j.marenvres.2025.106949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Revised: 12/06/2024] [Accepted: 01/03/2025] [Indexed: 01/15/2025]
Abstract
The tropical Pacific is the largest oceanic source of carbon dioxide (CO2) emissions, where persistent marine heatwaves (MHWs) frequently occur. During persistent MHW events which are associated with strong El Niño events, CO2 outgassing is notably reduced, however, its detailed spatiotemporal response to MHWs has not been fully characterized. In this study, we showed a high degree of consistency between CO2 source regions in the central and eastern tropical Pacific Ocean and the occurrence regions with average annual MHW days exceeding 45 days (co-occurring area covers 80% of the area where MHWs occur). The spatiotemporal variability of the air-sea CO2 flux on interannual and longer timescales can be reconstructed from annual MHW days and occurrence frequency, respectively, in the central and eastern Pacific Ocean of the co-occurring region. In this region, El Niño-related MHWs reduce the air-sea CO2 flux density up to 0.4-0.8 molC/m2/yr per 100 MHW days, corresponding to a reduction of CO2 emissions by approximately 0.1 PgC per 100 MHW days. This is a 10%-40% reduction in CO2 emissions during MHW periods, with the strongest impact (30%-40% CO2 emission reduction) in the equatorial Pacific (5°S-5°N) of the central and eastern Pacific Ocean. In contrast, air-sea CO2 flux variations in coastal eastern upwelling region of the co-occurring region are mainly subjected to seasonal mixed layer variations, and thus not notably affected by El Niño-related MHWs on interannual timescales. By establishing the reproducibility between MHWs and air-sea CO2 flux variations, our results pave a way for detailed future spatiotemporal evolutions of MHW-induced changes in air-sea CO2 flux in the tropical Pacific Ocean.
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Affiliation(s)
- Min Zhang
- First Institute of Oceanography and Key Laboratory of Marine Sciences and Numerical Modelling, Ministry of Natural Resources, Qingdao, 266061, China; Laboratory for Regional Oceanography and Numerical Modelling, Qingdao Marine Science and Technology Center, Qingdao, 266237, China; Shandong Key Laboratory of Marine Sciences and Numerical Modeling, Qingdao, 266061, China
| | - Yangyan Cheng
- School of Marine Sciences, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
| | - Haoyu Zhang
- First Institute of Oceanography and Key Laboratory of Marine Sciences and Numerical Modelling, Ministry of Natural Resources, Qingdao, 266061, China; Laboratory for Regional Oceanography and Numerical Modelling, Qingdao Marine Science and Technology Center, Qingdao, 266237, China; Shandong Key Laboratory of Marine Sciences and Numerical Modeling, Qingdao, 266061, China
| | - Chuanjiang Huang
- First Institute of Oceanography and Key Laboratory of Marine Sciences and Numerical Modelling, Ministry of Natural Resources, Qingdao, 266061, China; Laboratory for Regional Oceanography and Numerical Modelling, Qingdao Marine Science and Technology Center, Qingdao, 266237, China; Shandong Key Laboratory of Marine Sciences and Numerical Modeling, Qingdao, 266061, China
| | - Gang Wang
- First Institute of Oceanography and Key Laboratory of Marine Sciences and Numerical Modelling, Ministry of Natural Resources, Qingdao, 266061, China; Laboratory for Regional Oceanography and Numerical Modelling, Qingdao Marine Science and Technology Center, Qingdao, 266237, China; Shandong Key Laboratory of Marine Sciences and Numerical Modeling, Qingdao, 266061, China
| | - Chang Zhao
- First Institute of Oceanography and Key Laboratory of Marine Sciences and Numerical Modelling, Ministry of Natural Resources, Qingdao, 266061, China; Laboratory for Regional Oceanography and Numerical Modelling, Qingdao Marine Science and Technology Center, Qingdao, 266237, China; Shandong Key Laboratory of Marine Sciences and Numerical Modeling, Qingdao, 266061, China
| | - Yuanling Zhang
- First Institute of Oceanography and Key Laboratory of Marine Sciences and Numerical Modelling, Ministry of Natural Resources, Qingdao, 266061, China; Laboratory for Regional Oceanography and Numerical Modelling, Qingdao Marine Science and Technology Center, Qingdao, 266237, China; Shandong Key Laboratory of Marine Sciences and Numerical Modeling, Qingdao, 266061, China
| | - Qinghua Yang
- School of Atmospheric Sciences, Sun Yat-sen University and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), 519082, China
| | - Zhengya Song
- First Institute of Oceanography and Key Laboratory of Marine Sciences and Numerical Modelling, Ministry of Natural Resources, Qingdao, 266061, China; Laboratory for Regional Oceanography and Numerical Modelling, Qingdao Marine Science and Technology Center, Qingdao, 266237, China; Shandong Key Laboratory of Marine Sciences and Numerical Modeling, Qingdao, 266061, China
| | - Fangli Qiao
- First Institute of Oceanography and Key Laboratory of Marine Sciences and Numerical Modelling, Ministry of Natural Resources, Qingdao, 266061, China; Laboratory for Regional Oceanography and Numerical Modelling, Qingdao Marine Science and Technology Center, Qingdao, 266237, China; Shandong Key Laboratory of Marine Sciences and Numerical Modeling, Qingdao, 266061, China.
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Wang H, Zhang K, Le C. Impact of Alaska atmospheric blocking on the carbon flux in the Northeast Pacific Ocean. MARINE ENVIRONMENTAL RESEARCH 2024; 202:106770. [PMID: 39342872 DOI: 10.1016/j.marenvres.2024.106770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Revised: 09/08/2024] [Accepted: 09/24/2024] [Indexed: 10/01/2024]
Abstract
The Northeast Pacific Ocean (NEP) is one of the important carbon sinks in the global ocean. The causes of carbon flux changes in this region have been widely studied, but the physical processes associated with large scale climate variability remain controversial primarily due to scarcity of spatially and temporally continuous observations. In this study, we constructed a high-resolution sea surface partial pressure of CO2 (pCO2) from satellite observations for the NEP from 2003 to 2020 using the machine learning based XGBoost model. By analyzing the interannual large-scale high-latitude atmospheric dynamics and ocean physical conditions over the NEP, we find that the CO2 flux density (FCO2) anomalies have a strong correlation with the Alaskan atmospheric blocking events. In the region north of 48°N, anomalous cyclones triggered by atmospheric blocking increased sea surface height (SSH), which reduced the replenishment of dissolved inorganic carbon (DIC) from deep seawater, leading to enhanced carbon uptake. By contrast, in the region south of 48°N, the increase in sea surface temperature (SST) triggered by atmospheric blocking reduced the solubility of CO2 in seawater, resulting in a decrease in regional carbon flux. These results provide new perspectives for better understanding and predicting the effects of high-latitude atmospheric dynamics on regional ocean carbon fluxes.
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Affiliation(s)
- Hongyang Wang
- Ocean College, Zhejiang University, Zhoushan, 316021, China.
| | - Ke Zhang
- Ocean College, Zhejiang University, Zhoushan, 316021, China
| | - Chengfeng Le
- Ocean College, Zhejiang University, Zhoushan, 316021, China.
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