Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 19, issue 1
Articles | Volume 19, issue 1
https://doi.org/10.5194/amt-19-231-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-19-231-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 1
Research article
 | 
13 Jan 2026
Research article |  | 13 Jan 2026

Exploring the capability of surface-observed spectral irradiance for remote sensing of precipitable water vapor amount under all-sky conditions

Pradeep Khatri, Tamio Takamura, and Hitoshi Irie

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Short summary
Precipitable water vapor (PWV) is important for various climate and weather studies, but difficult to monitor under various weather conditions. This study shows that surface-based spectral irradiance combined with deep neural network models can accurately estimate PWV under various atmospheric conditions. Models using global, direct, and diffuse irradiances performed best, while even global-only data gave reliable results.
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