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<p>Estimating air–sea CO<sub>2</sub> flux is critical for understanding the global carbon cycle and its implications for climate change. Satellite based methods enable monitoring and quantification of the ocean capacity to absorb atmospheric CO<sub>2</sub> on a global scale, offering a significant advantage by providing comprehensive, continuous, and high resolution data across vast and remote oceanic regions, thus addressing the limitations of sparse and infrequent in-situ measurements. This study integrates satellite data, in-situ observations, and existing global models to compute global surface ocean pCO<sub>2</sub> fields, which were subsequently used to estimate satellite based air–sea CO<sub>2</sub> flux rates. Key variables considered include Sea Surface Temperature (SST), Sea Surface Salinity (SSS), Chlorophyll-a Concentration (Chla), Wind Speed (WS), Sea Level Pressure (SLP), and atmospheric CO<sub>2</sub> (XCO<sub>2</sub>). By incorporating a wider range of parameters and leveraging global models, this study provides findings useful for a comprehensive assessment of CO<sub>2</sub> exchange rates. These results enhance our ability to predict future atmospheric CO<sub>2</sub> levels and support the development of informed climate policies and mitigation strategies.</p>

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Assessment of Air–Sea CO2 Flux in Global Surface Oceans Using Satellite Data

  • 期刊论文

  • 发表日期：

    2025年12月1日

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  • Ibrahim Shaik,
  • P. V. Nagamani,
  • Mahesh Pathakoti,
  • G. Srinivasa Rao

摘要

Estimating air–sea CO2 flux is critical for understanding the global carbon cycle and its implications for climate change. Satellite based methods enable monitoring and quantification of the ocean capacity to absorb atmospheric CO2 on a global scale, offering a significant advantage by providing comprehensive, continuous, and high resolution data across vast and remote oceanic regions, thus addressing the limitations of sparse and infrequent in-situ measurements. This study integrates satellite data, in-situ observations, and existing global models to compute global surface ocean pCO2 fields, which were subsequently used to estimate satellite based air–sea CO2 flux rates. Key variables considered include Sea Surface Temperature (SST), Sea Surface Salinity (SSS), Chlorophyll-a Concentration (Chla), Wind Speed (WS), Sea Level Pressure (SLP), and atmospheric CO2 (XCO2). By incorporating a wider range of parameters and leveraging global models, this study provides findings useful for a comprehensive assessment of CO2 exchange rates. These results enhance our ability to predict future atmospheric CO2 levels and support the development of informed climate policies and mitigation strategies.