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Multi-Frequency Differential Absorption LIDAR System for Aerosol and Cloud Retrievals of CO[sub.2]/H[sub.2]O and CH[sub.4]/H[sub.2]O

We discuss a remote sensing system that is used to simultaneously detect range-resolved differential absorption LIDAR (light detection and ranging; DIAL) signals and integrated path differential absorption LIDAR signals (IPDA LIDAR) from aerosol targets for ranges up to 22 km. The DIAL/IPDA LIDAR fr...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2023-12, Vol.15 (23)
Main Authors: Stroud, Jasper R, Wagner, Gerd A, Plusquellic, David F
Format: Article
Language:English
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Summary:We discuss a remote sensing system that is used to simultaneously detect range-resolved differential absorption LIDAR (light detection and ranging; DIAL) signals and integrated path differential absorption LIDAR signals (IPDA LIDAR) from aerosol targets for ranges up to 22 km. The DIAL/IPDA LIDAR frequency converter consists of an OPO pumped at 1064 nm to produce light at 1.6 μm and operates at 100 Hz pulse repetition frequency. The probe light is free space coupled to a movable platform that contains one transmitter and two receiver telescopes. Hybrid photon counting/current systems increase the dynamic range for detection by two orders of magnitude. Range resolved and column integrated dry-air CO[sub.2] and CH[sub.4] mixing ratios are obtained from line shape fits of CO[sub.2] and CH[sub.4] centered at 1602.2 nm and 1645.5 nm, respectively, and measured at 10 different frequencies over ≈1.3 cm[sup.−1] bandwidth. The signal-to-noise ratios (SNRs) of the IPDA LIDAR returns from cloud aerosols approach 1000:1 and the uncertainties in the mixing ratios weighted according to the integrated counts over the cloud segments range from 0.1% to 1%. The range-averaged DIAL mixing ratios are in good agreement with the IPDA LIDAR mixing ratios at the 1% to 2% level for both CO[sub.2] and CH[sub.4]. These results can serve as a validation method for future active and passive satellite observational systems.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs15235595