An improved long-term high-resolution surface pCO2 data product for the Indian Ocean using machine learning

<p>This dataset contains two improved surface pCO2 products, along with surface pCO2&nbsp; 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&deg;E - 120&deg;E, 30&deg;S - 30&deg;N), covering the period from 1980 to 2019. The dataset features a monthly temporal resolution and a spatial resolution of 1/12 degree.</p> <p>&nbsp;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.</p> <p><strong>**Users are advised to download Version v2 of the data product, as Version v1 has been deprecated and is no longer recommended for use.</strong></p>