Articles | Volume 19, issue 2
https://doi.org/10.5194/amt-19-405-2026
https://doi.org/10.5194/amt-19-405-2026
Research article
 | 
20 Jan 2026
Research article |  | 20 Jan 2026

Signal processing to denoise and retrieve water vapor from multi-pulse-length lidar data

Matthew Hayman, Robert A. Stillwell, Adam Karboski, and Scott M. Spuler

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Short summary
A new processing method for lidar data obtained from rapidly changing laser pulse lengths enables measurement of atmospheric water vapor from the ground up to 6 km. The technique blends all captured data to reveal hidden water vapor structures, especially near the surface. This solution offers continuous, high-resolution insights, key for improving weather forecasts. It showcases how flexible laser technology can enhance atmospheric observation.
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