Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 19, issue 11
Articles | Volume 19, issue 11
https://doi.org/10.5194/amt-19-3601-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-3601-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 11
Research article
 | 
03 Jun 2026
Research article |  | 03 Jun 2026

Continuing the MLS water vapor record with OMPS LP using neural networks

Michael D. Himes, Natalya A. Kramarova, Krzysztof Wargan, Sean M. Davis, and Glen Jaross

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Short summary
Stratospheric water vapor (SWV) influences various atmospheric processes. While the Ozone Mapping and Profiler Suite Limb Profiler (OMPS LP) was not designed to measure SWV, we utilized near-coincident measurements by the Aura Microwave Limb Sounder (MLS) and OMPS LP to develop a machine learning method to measure SWV between 11.5–40.5 km. The LP-derived SWV closely agrees with MLS. Our results suggest OMPS LP can continue the global water vapor record following the MLS mission.
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