Spatiotemporal upscaling of sparse air-sea pCO2 data via physics-informed transfer learning
Abstract Global measurements of ocean p C O 2 are critical to monitor and understand changes in the global carbon cycle. However, p C O 2 observations remain sparse as they are mostly collected on opportunistic ship tracks. Several approaches, especially based on direct learning, have been used to u...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-10-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-03959-w |
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