Articles | Volume 9, issue 7
https://doi.org/10.5194/amt-9-2947-2016
© 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-9-2947-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
12 Jul 2016
Research article |
| 12 Jul 2016
An empirical method to correct for temperature-dependent variations in the overlap function of CHM15k ceilometers
MeteoSwiss, Payerne, Switzerland
Yann Poltera
MeteoSwiss, Payerne, Switzerland
now at: Institute for Atmospheric and Climate Science,
ETH, Zurich, Switzerland
Alexander Haefele
MeteoSwiss, Payerne, Switzerland
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- Deep-Pathfinder: a boundary layer height detection algorithm based on image segmentation J. Wijnands et al. 10.5194/amt-17-3029-2024
- A Bayesian neural network approach for tropospheric temperature retrievals from a lidar instrument G. Farhani et al. 10.1080/01431161.2023.2187723
- A multiwavelength numerical model in support of quantitative retrievals of aerosol properties from automated lidar ceilometers and test applications for AOT and PM<sub>10</sub> estimation D. Dionisi et al. 10.5194/amt-11-6013-2018
- How Can Existing Ground-Based Profiling Instruments Improve European Weather Forecasts? A. Illingworth et al. 10.1175/BAMS-D-17-0231.1
- Aerosol optical properties within the atmospheric boundary layer predicted from ground-based observations compared to Raman lidar retrievals during RITA-2021 X. Liu et al. 10.5194/acp-24-9597-2024
- Overlap correction function based on multi-angle measurements for an airborne direct-detection lidar for atmospheric sensing M. Adam & F. Marenco 10.1364/OE.507433
- 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
- Evaluation of retrieved aerosol extinction profiles using as reference the aerosol optical depth differences between various heights M. Herreras et al. 10.1016/j.atmosres.2019.104625
- 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
- Volume for pollution dispersion: London's atmospheric boundary layer during ClearfLo observed with two ground-based lidar types S. Kotthaus et al. 10.1016/j.atmosenv.2018.06.042
- Validation of aerosol backscatter profiles from Raman lidar and ceilometer using balloon-borne measurements S. Brunamonti et al. 10.5194/acp-21-2267-2021
- Recommendations for processing atmospheric attenuated backscatter profiles from Vaisala CL31 ceilometers S. Kotthaus et al. 10.5194/amt-9-3769-2016
- PathfinderTURB: an automatic boundary layer algorithm. Development, validation and application to study the impact on in situ measurements at the Jungfraujoch Y. Poltera et al. 10.5194/acp-17-10051-2017
- 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
- Atmospheric boundary‐layer characteristics from ceilometer measurements. Part 1: A new method to track mixed layer height and classify clouds S. Kotthaus & C. Grimmond 10.1002/qj.3299
- A robust automated technique for operational calibration of ceilometers using the integrated backscatter from totally attenuating liquid clouds E. Hopkin et al. 10.5194/amt-12-4131-2019
- The diurnal and seasonal variability of ice-nucleating particles at the High Altitude Station Jungfraujoch (3580 m a.s.l.), Switzerland C. Brunner et al. 10.5194/acp-22-7557-2022
- Evaluation of ceilometer attenuated backscattering coefficients for aerosol profile measurement Y. Jin et al. 10.1117/1.JRS.12.042604
- Variability of the Boundary Layer Over an Urban Continental Site Based on 10 Years of Active Remote Sensing Observations in Warsaw D. Wang et al. 10.3390/rs12020340
- Experimental Calibration of the Overlap Factor for the Pulsed Atmospheric Lidar by Employing a Collocated Scheimpflug Lidar L. Mei et al. 10.3390/rs12071227
- ALICENET – an Italian network of automated lidar ceilometers for four-dimensional aerosol monitoring: infrastructure, data processing, and applications A. Bellini et al. 10.5194/amt-17-6119-2024
- Mixing layer height as an indicator for urban air quality? A. Geiß et al. 10.5194/amt-10-2969-2017
- The contribution of Saharan dust to the ice-nucleating particle concentrations at the High Altitude Station Jungfraujoch (3580 m a.s.l.), Switzerland C. Brunner et al. 10.5194/acp-21-18029-2021
- Dynamics of Mixing Layer Height and Homogeneity from Ceilometer-Measured Aerosol Profiles and Correlation to Ground Level PM2.5 in New York City D. Li et al. 10.3390/rs14246370
- Aerosol backscatter profiles from ceilometers: validation of water vapor correction in the framework of CeiLinEx2015 M. Wiegner et al. 10.5194/amt-12-471-2019
- Comparison of Backscatter Coefficient at 1064 nm from CALIPSO and Ground–Based Ceilometers over Coastal and Non–Coastal Regions T. Baroni et al. 10.3390/atmos11111190
Saved (preprint)
Latest update: 14 Dec 2024
Short summary
Imperfections in a lidar's overlap function lead to artefacts in the lidar (Light Detection and Ranging) signals. These artefacts can erroneously be interpreted as an aerosol gradient or, in extreme cases, as a cloud base leading to false cloud detection. In this study an algorithm is presented to correct such artefacts.
The algorithm is completely automatic and does not require any intervention on site. It is therefore suited for use in large automatic lidar networks.
Imperfections in a lidar's overlap function lead to artefacts in the lidar (Light Detection and...
