An improved long-term high-resolution surface pCO2 data product for the Indian Ocean using machine learning
Abstract Accurate estimation of surface ocean pCO2 is crucial for understanding the ocean’s role in the global carbon cycle and its response to climate change. In this study, we employ a machine learning algorithm to correct the deviations in high-resolution (1/12°) model simulations of surface pCO2...
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| Main Authors: | Prasanna Kanti Ghoshal, A.P. Joshi, Kunal Chakraborty |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
|
| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04914-z |
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