4.5 Article

Demonstration of an off-axis parabolic receiver for near-range retrieval of lidar ozone profiles

Journal

ATMOSPHERIC MEASUREMENT TECHNIQUES
Volume 12, Issue 1, Pages 363-370

Publisher

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/amt-12-363-2019

Keywords

-

Funding

  1. NASA Science Innovation Fund
  2. NASA Tropospheric Composition Program
  3. TEMPO Student Collaboration project
  4. NASA Science Mission Directorate Earth System Science Pathfinder program

Ask authors/readers for more resources

During the 2017 Ozone Water Land Environmental Transition Study (OWLETS), the Langley mobile ozone lidar system utilized a new small diameter receiver to improve the retrieval of near-surface signals from 0.1 to 1 km in altitude. This new receiver utilizes a single 90 ffi fibercoupled, off-axis parabolic mirror resulting in a compact form that is easy to align. The single reflective surface offers the opportunity to easily expand its use to multiple wavelengths for additional measurement channels such as visible wavelength aerosol measurements. Detailed results compare the performance of the receiver to both ozonesonde and in situ measurements from a UAV platform, validating the performance of the near-surface ozone retrievals. Absolute O-3 differences averaged 7% between lidar and ozonesonde data from 0.1 to 1.0 km and yielded a 2.3% high bias in the lidar data, well within the uncertainty of the sonde measurements. Conversely, lidar O-3 measurements from 0.1 to 0.2 km averaged 10.5% lower than coincident UAV O3. A more detailed study under more stable atmospheric conditions would be necessary to resolve the residual instrument differences reported in this work. Nevertheless, this unique added capability is a significant improvement allowing for near-surface observation of ozone.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available