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An improved long-term high-resolution surface pCO2 data product for the Indian Ocean using machine learning from 1980-01-01 to 2020-12-31 (NCEI Accession 0307788)

Published by NOAA National Centers for Environmental Information | National Oceanic and Atmospheric Administration, Department of Commerce | Catalog Last Checked: May 29, 2026 at 08:38 PM | Dataset Last Updated: September 09, 2025 at 12:00 AM
This dataset contains two improved surface pCO2 products, along with surface pCO2 from the INCOIS-BIO-ROMS model (pCO2_model) and other input variables. It is a long-term, high-resolution dataset developed for the Indian Ocean region (30°E - 120°E, 30°S - 30°N), covering the period from 1980 to 2019. The dataset features a monthly temporal resolution and a spatial resolution of 1/12°. The file includes INCOIS-BIO-ROMS model outputs (sea surface temperature (SST), sea surface salinity (SSS), mixed layer depth (MLD), nitrate (NO3), dissolved inorganic carbon (DIC), and chlorophyll-a (CHL)). These variables are used as inputs for machine learning models to improve the pCO2_model. The machine learning model predicts the surface pCO2 deviants (pCO2_obs - pCO2_model). The file also provides spatiotemporally varying uncertainties associated with the predicted pCO2 deviants.

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  • Descriptive Information

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  • https://www.ncei.noaa.gov/products/ocean-carbon-acidification-data-system

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  • https://www.ncei.noaa.gov/data/oceans/ncei/ocads/metadata/0307627.html

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  • https://www.ncei.noaa.gov/data/oceans/ncei/ocads/metadata/0307789.html

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  • https://www.ncei.noaa.gov/access/ocean-carbon-acidification-data-system/oceans/

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