Articles | Volume 9, issue 8
https://doi.org/10.5194/amt-9-3769-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-9-3769-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Recommendations for processing atmospheric attenuated backscatter profiles from Vaisala CL31 ceilometers
Department of Meteorology, University of Reading, Reading, RG6 6BB, UK
Ewan O'Connor
Department of Meteorology, University of Reading, Reading, RG6 6BB, UK
Finnish Meteorological Institute, 00101 Helsinki, Finland
Christoph Münkel
Vaisala GmbH, 22607 Hamburg, Germany
Cristina Charlton-Perez
Met Office, Meteorology Building, University of Reading, Reading, RG6
6BB, UK
Martial Haeffelin
Institute Pierre Simon Laplace, Centre National de la Recherche
Scientifique, École Polytechnique, 91128 Palaiseau, France
Andrew M. Gabey
Department of Meteorology, University of Reading, Reading, RG6 6BB, UK
C. Sue B. Grimmond
Department of Meteorology, University of Reading, Reading, RG6 6BB, UK
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Short summary
Ceilometers lidars are useful to study clouds, aerosol layers and atmospheric boundary layer structures. As sensor optics and acquisition algorithms can strongly influence the observations, sensor specifics need to be incorporated into the physical interpretation. Here, recommendations are made for the operation and processing of profile observations from the widely deployed Vaisala CL31 ceilometer. Proposed corrections are shown to increase data quality and even data availability at times.
Ceilometers lidars are useful to study clouds, aerosol layers and atmospheric boundary layer...