Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 1
Articles | Volume 19, issue 1
https://doi.org/10.5194/gmd-19-73-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-73-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 1
Development and technical paper
 | 
06 Jan 2026
Development and technical paper |  | 06 Jan 2026

Attention-driven and multi-scale feature integrated approach for earth surface temperature data reconstruction

Minghui Zhang, Yunjie Chen, Fan Yang, and Zhengkun Qin

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Short summary
Considering the crucial role of high-resolution surface observation temperature data in the study of surface atmospheric temperature in Marine areas, we propose a new two-stage deep learning model. This model is used to fill in the ocean surface temperature data that is missing in satellite observations due to the orbital gap of polar-orbiting satellites. 
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