Paper
19 August 1998 Comparison of ozone profiles derived from ground-based microwave and lidar measurements
Li Song, Paul Hartogh, Christopher Jarchow, Georg Hansen
Author Affiliations +
Proceedings Volume 3503, Microwave Remote Sensing of the Atmosphere and Environment; (1998) https://doi.org/10.1117/12.319464
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China
Abstract
A ground-based microwave heterodyne spectrometer for detection of middle atmospheric ozone has been developed at Max-Planck-Institut fuer Aeronomie, Germany. It was in operation from October 1995, until May 1996 at the Arctic Lidar Observatory for Middle Atmospheric Research near Andenes, Norway. The microwave system provided ozone profiles in the altitude range from 15 to 80km. During this period, a lidar system has been operated at the same location. The ozone profiles from the lidar covered the altitude range from 10 to 44 km. An intercomparison of 60 ozone profiles between the two instruments shows a good agreement. The mean microwave data were lower than the convolved mean lidar data by only 3 percent at 24-38 km, and higher by only 5 percent at 20-24 km. Above 38 km the lidar measurements become more and more noise dominated, resulting in increasing errors and disagreement with the microwave measurements. The intercomparison suggests that the ozone profiles, provided by the microwave instrument, are not modulated by tropospheric transmission variations and that the other systematic error sources like residual baselines are properly modeled.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Li Song, Paul Hartogh, Christopher Jarchow, and Georg Hansen "Comparison of ozone profiles derived from ground-based microwave and lidar measurements", Proc. SPIE 3503, Microwave Remote Sensing of the Atmosphere and Environment, (19 August 1998); https://doi.org/10.1117/12.319464
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KEYWORDS
Microwave radiation

LIDAR

Ozone

Spectroscopy

Error analysis

Solids

Atmospheric sensing

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