Articles | Volume 12, issue 7
https://doi.org/10.5194/amt-12-4131-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-4131-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Jul 2019
Research article |
| 30 Jul 2019
| 30 Jul 2019
A robust automated technique for operational calibration of ceilometers using the integrated backscatter from totally attenuating liquid clouds
Department of Meteorology, University of Reading, Reading, UK
Anthony J. Illingworth
Department of Meteorology, University of Reading, Reading, UK
Cristina Charlton-Perez
CORRESPONDING AUTHOR
Met Office, MetOffice@Reading, Reading, UK
Chris D. Westbrook
Department of Meteorology, University of Reading, Reading, UK
Sue Ballard
Met Office, MetOffice@Reading, Reading, UK
deceased, 12 July 2018
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Cited
15 citations as recorded by crossref.
- Evaluating atmospheric icing forecasts with ground‐based ceilometer profiles K. Hämäläinen et al. 10.1002/met.1964
- Earth-system-model evaluation of cloud and precipitation occurrence for supercooled and warm clouds over the Southern Ocean's Macquarie Island M. Stanford et al. 10.5194/acp-23-9037-2023
- Ground-based lidar processing and simulator framework for comparing models and observations (ALCF 1.0) P. Kuma et al. 10.5194/gmd-14-43-2021
- Properties of the mixing layer height retrieved from ceilometer measurements in Slovakia and its relationship to the air pollutant concentrations D. Nguyen et al. 10.1007/s11356-023-30489-6
- Tailored Algorithms for the Detection of the Atmospheric Boundary Layer Height from Common Automatic Lidars and Ceilometers (ALC) S. Kotthaus et al. 10.3390/rs12193259
- Distinct Dynamical and Structural Properties of Marine Stratocumulus and Shallow Cumulus Clouds in the Eastern North Atlantic J. Jeong et al. 10.1029/2022JD037021
- Detection of supercooled liquid water containing clouds with ceilometers: development and evaluation of deterministic and data-driven retrievals A. Guyot et al. 10.5194/amt-15-3663-2022
- Retrieving aerosol backscatter coefficient using coherent Doppler wind lidar T. Wei et al. 10.1364/OE.551730
- Water Vapor Correction in Measurements of Aerosol Backscatter Coefficients Using a 910 nm Vaisala CL51 Ceilometer J. Chen et al. 10.3390/rs17122013
- Spectral dependence of birch and pine pollen optical properties using a synergy of lidar instruments M. Filioglou et al. 10.5194/acp-23-9009-2023
- An Automated Common Algorithm for Planetary Boundary Layer Retrievals Using Aerosol Lidars in Support of the U.S. EPA Photochemical Assessment Monitoring Stations Program V. Caicedo et al. 10.1175/JTECH-D-20-0050.1
- Lidar estimates of birch pollen number, mass, and CCN-related concentrations M. Filioglou et al. 10.5194/acp-25-1639-2025
- Observed aerosol characteristics to improve forward-modelled attenuated backscatter in urban areas E. Warren et al. 10.1016/j.atmosenv.2019.117177
- Atmospheric boundary layer height from ground-based remote sensing: a review of capabilities and limitations S. Kotthaus et al. 10.5194/amt-16-433-2023
- Capabilities of an Automatic Lidar Ceilometer to Retrieve Aerosol Characteristics within the Planetary Boundary Layer D. Li et al. 10.3390/rs13183626
15 citations as recorded by crossref.
- Evaluating atmospheric icing forecasts with ground‐based ceilometer profiles K. Hämäläinen et al. 10.1002/met.1964
- Earth-system-model evaluation of cloud and precipitation occurrence for supercooled and warm clouds over the Southern Ocean's Macquarie Island M. Stanford et al. 10.5194/acp-23-9037-2023
- Ground-based lidar processing and simulator framework for comparing models and observations (ALCF 1.0) P. Kuma et al. 10.5194/gmd-14-43-2021
- Properties of the mixing layer height retrieved from ceilometer measurements in Slovakia and its relationship to the air pollutant concentrations D. Nguyen et al. 10.1007/s11356-023-30489-6
- Tailored Algorithms for the Detection of the Atmospheric Boundary Layer Height from Common Automatic Lidars and Ceilometers (ALC) S. Kotthaus et al. 10.3390/rs12193259
- Distinct Dynamical and Structural Properties of Marine Stratocumulus and Shallow Cumulus Clouds in the Eastern North Atlantic J. Jeong et al. 10.1029/2022JD037021
- Detection of supercooled liquid water containing clouds with ceilometers: development and evaluation of deterministic and data-driven retrievals A. Guyot et al. 10.5194/amt-15-3663-2022
- Retrieving aerosol backscatter coefficient using coherent Doppler wind lidar T. Wei et al. 10.1364/OE.551730
- Water Vapor Correction in Measurements of Aerosol Backscatter Coefficients Using a 910 nm Vaisala CL51 Ceilometer J. Chen et al. 10.3390/rs17122013
- Spectral dependence of birch and pine pollen optical properties using a synergy of lidar instruments M. Filioglou et al. 10.5194/acp-23-9009-2023
- An Automated Common Algorithm for Planetary Boundary Layer Retrievals Using Aerosol Lidars in Support of the U.S. EPA Photochemical Assessment Monitoring Stations Program V. Caicedo et al. 10.1175/JTECH-D-20-0050.1
- Lidar estimates of birch pollen number, mass, and CCN-related concentrations M. Filioglou et al. 10.5194/acp-25-1639-2025
- Observed aerosol characteristics to improve forward-modelled attenuated backscatter in urban areas E. Warren et al. 10.1016/j.atmosenv.2019.117177
- Atmospheric boundary layer height from ground-based remote sensing: a review of capabilities and limitations S. Kotthaus et al. 10.5194/amt-16-433-2023
- Capabilities of an Automatic Lidar Ceilometer to Retrieve Aerosol Characteristics within the Planetary Boundary Layer D. Li et al. 10.3390/rs13183626
Latest update: 24 Jun 2025
Short summary
Ceilometers are laser cloud base recorders which retrieve information about atmospheric aerosol and differing cloud types. In order to ensure the information retrieved from the ceilometer is correct and comparable with other ceilometers in an observation network, a calibration is needed. Presented here is a novel automated calibration method, which includes a correction for the effects of water vapour in the atmosphere and shows its application on the UK Met Office's ceilometer network.
Ceilometers are laser cloud base recorders which retrieve information about atmospheric aerosol...
