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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 9, issue 3
Atmos. Meas. Tech., 9, 1239–1246, 2016
https://doi.org/10.5194/amt-9-1239-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 9, 1239–1246, 2016
https://doi.org/10.5194/amt-9-1239-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 23 Mar 2016

Research article | 23 Mar 2016

A new algorithm for detecting cloud height using OMPS/LP measurements

Zhong Chen1, Matthew DeLand1, and Pawan K. Bhartia2 Zhong Chen et al.
  • 1Science Systems and Applications, Inc., 10210 Greenbelt Road, Suite 600, Lanham, Maryland 20706, USA
  • 2NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, Maryland 20771, USA

Abstract. The Ozone Mapping and Profiler Suite Limb Profiler (OMPS/LP) ozone product requires the determination of cloud height for each event to establish the lower boundary of the profile for the retrieval algorithm. We have created a revised cloud detection algorithm for LP measurements that uses the spectral dependence of the vertical gradient in radiance between two wavelengths in the visible and near-IR spectral regions. This approach provides better discrimination between clouds and aerosols than results obtained using a single wavelength. Observed LP cloud height values show good agreement with coincident Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) measurements.

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Short summary
We have developed a new algorithm to detect cloud height using satellite data.
We have developed a new algorithm to detect cloud height using satellite data.
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