Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 20
Articles | Volume 18, issue 20
https://doi.org/10.5194/gmd-18-7575-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-7575-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 20
Development and technical paper
 | 
22 Oct 2025
Development and technical paper |  | 22 Oct 2025

Data-Informed Inversion Model (DIIM): a framework to retrieve marine optical constituents using a three-stream irradiance model

Carlos Enmanuel Soto López, Mirna Gharbi Dit Kacem, Fabio Anselmi, and Paolo Lazzari

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Short summary
We used a semi-analytical expression to estimate the concentration of optically active constituents, allowing us to have an interpretable formulation consistent with the laws of physics. We focused on a probabilistic approach, inverting the model with its respective uncertainty. Considering future applications to big data, we explored a neural-network-based method, retrieving computationally efficient estimates with an accuracy comparable to existing state-of-the-art algorithms.
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