Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 18
Articles | Volume 19, issue 18
https://doi.org/10.5194/gmd-19-8915-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-8915-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 18
Model description paper
 | 
22 Sep 2026
Model description paper |  | 22 Sep 2026

DIRECT 1.0: a diffusion-based generative model for dense sea surface temperature reconstructions from sparse satellite observations

Grega Rovšček, Matjaž Ličer, Alexander Barth, and Matej Kristan

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Short summary
Satellite measurements of sea surface temperature are often blocked by clouds, leaving large gaps in the data used to study the ocean and climate. We developed a new computer model that fills in these missing areas while also estimating how uncertain the reconstruction is. Tests on several ocean regions show more accurate results and more realistic patterns, helping scientists better analyze and model ocean conditions.
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