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Research ReportDiurnal global ocean surface p CO 2 and air-sea CO 2 flux reconstructed from spaceborne LiDAR data.
- Source :
-
PNAS nexus [PNAS Nexus] 2023 Dec 14; Vol. 3 (1), pp. pgad432. Date of Electronic Publication: 2023 Dec 14 (Print Publication: 2024). - Publication Year :
- 2023
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Abstract
- The ocean absorbs a significant amount of carbon dioxide (CO <subscript>2</subscript> ) from the atmosphere, helping regulate Earth's climate. However, our knowledge of ocean CO <subscript>2</subscript> sink levels remains limited. This research focused on assessing daily changes in ocean CO <subscript>2</subscript> sink levels and air-sea CO <subscript>2</subscript> exchange, using a new technique. We used LiDAR technology, which provides continuous measurements during day and night, to estimate global ocean CO <subscript>2</subscript> absorption over 23 years. Our model successfully reproduced sea surface partial pressure of CO <subscript>2</subscript> data. The results suggest the total amount of CO <subscript>2</subscript> absorbed by oceans is higher at night than during the day. This difference arises from a combination of factors like temperatures, winds, photosynthesis, and respiration. Understanding these daily fluctuations can improve predictions of ocean CO <subscript>2</subscript> uptake. It may also help explain why current carbon budget calculations are not fully balanced-an issue scientists have grappled with. Overall, this pioneering study highlights the value of LiDAR's unique day-night ocean data coverage. The findings advance knowledge of ocean carbon cycles and their role in climate regulation. They underscore the need to incorporate day-night variability when assessing the ocean's carbon sink capacity.<br /> (© The Author(s) 2023. Published by Oxford University Press on behalf of National Academy of Sciences.)
Details
- Language :
- English
- ISSN :
- 2752-6542
- Volume :
- 3
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- PNAS nexus
- Publication Type :
- Academic Journal
- Accession number :
- 38145244
- Full Text :
- https://doi.org/10.1093/pnasnexus/pgad432