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Recalculating the Surface Ocean CO2 Atlas (SOCAT) to a sea surface temperature climate data record
Daniel J Ford1, Jamie D Shutler2, Thomas Holding2,3
1Centre for Geography and Environmental Sciences (CGES), University of Exeter, Penryn, UK. d.ford@exeter.ac.uk.
The Surface Ocean CO2 Atlas (SOCAT) now provides recalculated CO2 data, correcting for warm bias in sea surface temperature measurements. This improves accuracy in assessing the ocean
Area of Science:
- Oceanography and Marine Carbon Cycle Research
- Climate Science and Data Assimilation
Background:
- The Surface Ocean CO2 Atlas (SOCAT) is a crucial global database for surface ocean carbon dioxide (CO2) measurements.
- Existing SOCAT data have inherent complexities due to varying measurement systems and potential sea surface temperature (SST) biases, impacting atmosphere-ocean CO2 assessments.
- Inconsistencies in measurement depths and platform-induced warming of SST can limit the precision of CO2 flux calculations.
Purpose of the Study:
- To recalculate SOCATv2025 fugacity of CO2 in seawater (fCO2 sw) data to a consistent reference temperature and depth.
- To improve the accuracy of atmosphere-ocean CO2 exchange assessments by addressing SST warm bias.
- To provide routinely updated, recalculated data products for annual carbon budget calculations.
Main Methods:
- Recalculated fCO2 sw values from the SOCATv2025 database to a standard depth (0.2 m) using the ESA CCI SST climate data record.
- Maintained data pairing to preserve suitability for atmosphere-ocean CO2 exchange analysis.
- Ensured consistency with original SOCAT data products and formats for both original and recalculated datasets.
Main Results:
- Recalculation to a climate data record temperature revealed a ~0.4 Pg C yr-1 (12%) increase in the ocean CO2 sink for 2024.
- The corrected data demonstrate the significant impact of accounting for SST warm bias on ocean carbon sink estimates.
- Provided synthesis cruise and gridded data products including both original and recalculated fCO2 sw values.
Conclusions:
- Addressing the warm bias in SST measurements is critical for accurate ocean CO2 sink estimations.
- The recalculated SOCAT data products enhance the reliability of annual carbon assessments.
- Routine provision of these recalculated datasets will support ongoing climate change research and monitoring.
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