| Issue |
EPJ Web Conf.
Volume 362, 2026
31st International Laser Radar Conference (ILRC 31) Held Together with the 22nd Coherent Laser Radar Conference (CLRC 22)
|
|
|---|---|---|
| Article Number | 01001 | |
| Number of page(s) | 4 | |
| Section | Joint CLRC/ILRC Session: New Lidar Technologies and Methods | |
| DOI | https://doi.org/10.1051/epjconf/202636201001 | |
| Published online | 09 April 2026 | |
https://doi.org/10.1051/epjconf/202636201001
Simultaneous Measurement of Water Vapor, Temperature and Aerosol Backscatter with Diode-Laser-Based Lidar
(a) NSF NCAR, EOL, PO Box 3000, Boulder, CO, 80307, USA
(b) University of Wisconsin Space Science and Engineering Center This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 9 April 2026
Abstract
The MicroPulse DIAL (MPD) system utilizes a diode-laser-based architecture to operate at two near-infrared wavelength regions, facilitating water vapor DIAL, High-Spectral-Resolution Lidar (HSRL), and oxygen DIAL techniques at. The instrument provides simultaneous measurement of absolute humidity, backscatter coefficient, and temperature at resolutions of 5 minutes and 37.5 meters with a typical range from 300 m to 5 km. This self-contained instrument provides standalone observations of atmospheric thermodynamics, eliminating the need for external calibration, ancillary data, or assumptions. Consequently, the MPD stands as one of the few fully self-sufficient thermodynamic profilers in existence. A novel statistical signal processing approach has emerged as pivotal in enhancing the accuracy of data products from the MPD. This processing capability facilitates comprehensive accounting for interdependencies within instrument data products while effectively mitigating the impact of shot noise through denoising techniques. This presentation will outline the new signal processing approach and show select results demonstrating its efficacy.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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