Articles | Volume 18, issue 15
https://doi.org/10.5194/acp-18-10881-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-10881-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Polar stratospheric cloud climatology based on CALIPSO spaceborne lidar measurements from 2006 to 2017
Michael C. Pitts
CORRESPONDING AUTHOR
NASA Langley Research Center, Hampton, Virginia 23681, USA
Lamont R. Poole
Science Systems and Applications, Inc., Hampton, Virginia 23666, USA
Ryan Gonzalez
Universities Space Research Association, NASA Langley Research Center,
Hampton, VA 23681, USA
now at: Department of Atmospheric Science, Colorado State University,
Fort Collins, CO 80523, USA
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Latest update: 24 Sep 2023
Short summary
This paper first describes the new version 2 Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) polar stratospheric cloud (PSC) detection and composition classification algorithm. We then present a state-of-the-art PSC reference data record and climatology constructed by applying the v2 algorithm to the over 11 years CALIOP spaceborne lidar dataset spanning 2006–2017. This work is part of a larger effort being performed under the auspices of the SPARC Polar Stratospheric Cloud Initiative.
This paper first describes the new version 2 Cloud-Aerosol Lidar with Orthogonal Polarization...
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