Articles | Volume 16, issue 1
https://doi.org/10.5194/esd-16-91-2025
https://doi.org/10.5194/esd-16-91-2025
Research article
 | 
15 Jan 2025
Research article |  | 15 Jan 2025

Estimating ocean heat content from the ocean thermal expansion parameters using satellite data

Vijay Prakash Kondeti and Shanmugam Palanisamy

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Short summary
Ocean heat content (OHC) is an essential climate variable and is highly correlated with thermosteric sea level rise (TSL). In this study, ocean-thermal-expansion-based artificial neural network models were developed and validated to estimate TSL and, subsequently, OHC at 17 depths from the surface to 700 m. These models can accurately predict TSL and OHC for the given input data on sea surface temperature and sea surface salinity from any source.
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