Articles | Volume 12, issue 1
https://doi.org/10.5194/amt-12-471-2019
© 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-12-471-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Aerosol backscatter profiles from ceilometers: validation of water vapor correction in the framework of CeiLinEx2015
Matthias Wiegner
CORRESPONDING AUTHOR
Meteorologisches Institut, Ludwig-Maximilians-Universität, Theresienstraße 37, 80333 München, Germany
Ina Mattis
Deutscher Wetterdienst, Meteorologisches Observatorium Hohenpeißenberg, Hohenpeißenberg, Germany
Margit Pattantyús-Ábrahám
Deutscher Wetterdienst, Meteorologisches Observatorium Hohenpeißenberg, Hohenpeißenberg, Germany
now at: Federal Office for Radiation Protection, Department of Environmental Radiation, Neuherberg, Germany
Juan Antonio Bravo-Aranda
Institut Pierre Simon Laplace, École Polytechnique, CNRS, Université Paris–Saclay, Palaiseau, France
now at: University of Granada, Granada, Spain
Yann Poltera
MeteoSwiss, Payerne, Switzerland
now at: Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Alexander Haefele
MeteoSwiss, Payerne, Switzerland
Maxime Hervo
MeteoSwiss, Payerne, Switzerland
Ulrich Görsdorf
Deutscher Wetterdienst, Meteorologisches Observatorium Lindenberg, Lindenberg, Germany
Ronny Leinweber
Deutscher Wetterdienst, Meteorologisches Observatorium Lindenberg, Lindenberg, Germany
Josef Gasteiger
Faculty of Physics, University of Vienna, Vienna, Austria
Martial Haeffelin
Institut Pierre Simon Laplace, École Polytechnique, CNRS, Université Paris–Saclay, Palaiseau, France
Frank Wagner
Deutscher Wetterdienst, Meteorologisches Observatorium Hohenpeißenberg, Hohenpeißenberg, Germany
now at: Karlsruhe Institute of Technology (KIT), IMK–TRO, Eggenstein-Leopoldshafen, Germany
Jan Cermak
Department of Geography, Ruhr-Universität Bochum, Bochum, Germany
now at: Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research, Karlsruhe, Germany
now at: Karlsruhe Institute of Technology (KIT), Institute of Photogrammetry and Remote Sensing, Karlsruhe, Germany
Katerina Komínková
Global Change Research Institute, Czech Academy of Sciences, Brno, Czech Republic
Mike Brettle
Chartered Meteorologist: Shepshed, UK
Christoph Münkel
Vaisala GmbH, Hamburg, Germany
Kornelia Pönitz
G. Lufft Mess- und Regeltechnik GmbH, Fellbach, Germany
Viewed
Total article views: 3,276 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 17 Oct 2018)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,156 | 1,036 | 84 | 3,276 | 98 | 127 |
- HTML: 2,156
- PDF: 1,036
- XML: 84
- Total: 3,276
- BibTeX: 98
- EndNote: 127
Total article views: 2,722 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Jan 2019)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,821 | 826 | 75 | 2,722 | 91 | 119 |
- HTML: 1,821
- PDF: 826
- XML: 75
- Total: 2,722
- BibTeX: 91
- EndNote: 119
Total article views: 554 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 17 Oct 2018)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
335 | 210 | 9 | 554 | 7 | 8 |
- HTML: 335
- PDF: 210
- XML: 9
- Total: 554
- BibTeX: 7
- EndNote: 8
Viewed (geographical distribution)
Total article views: 3,276 (including HTML, PDF, and XML)
Thereof 2,984 with geography defined
and 292 with unknown origin.
Total article views: 2,722 (including HTML, PDF, and XML)
Thereof 2,478 with geography defined
and 244 with unknown origin.
Total article views: 554 (including HTML, PDF, and XML)
Thereof 506 with geography defined
and 48 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
12 citations as recorded by crossref.
- Impact of mixing layer height on air quality in winter B. Murthy et al. 10.1016/j.jastp.2019.105157
- 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
- Comparison of the depolarization measurement capability of a lidar ceilometer with cloud particle sensor sondes: A case study of liquid water clouds J. Inoue & K. Sato 10.1016/j.polar.2022.100911
- Capabilities of an Automatic Lidar Ceilometer to Retrieve Aerosol Characteristics within the Planetary Boundary Layer D. Li et al. 10.3390/rs13183626
- Mini-Scheimpflug lidar system for all-day atmospheric remote sensing in the boundary layer L. Mei et al. 10.1364/AO.396057
- Mass concentration estimates of long-range-transported Canadian biomass burning aerosols from a multi-wavelength Raman polarization lidar and a ceilometer in Finland X. Shang et al. 10.5194/amt-14-6159-2021
- Improvement of Aerosol Coarse-Mode Detection through Additional Use of Infrared Wavelengths in the Inversion of Arctic Lidar Data C. Böckmann et al. 10.3390/rs16091576
- Spatiotemporal dynamics of fog and low clouds in the Namib unveiled with ground- and space-based observations H. Andersen et al. 10.5194/acp-19-4383-2019
- Long-term aerosol optical hygroscopicity study at the ACTRIS SIRTA observatory: synergy between ceilometer and in situ measurements A. Bedoya-Velásquez et al. 10.5194/acp-19-7883-2019
- 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
- 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
- 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
12 citations as recorded by crossref.
- Impact of mixing layer height on air quality in winter B. Murthy et al. 10.1016/j.jastp.2019.105157
- 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
- Comparison of the depolarization measurement capability of a lidar ceilometer with cloud particle sensor sondes: A case study of liquid water clouds J. Inoue & K. Sato 10.1016/j.polar.2022.100911
- Capabilities of an Automatic Lidar Ceilometer to Retrieve Aerosol Characteristics within the Planetary Boundary Layer D. Li et al. 10.3390/rs13183626
- Mini-Scheimpflug lidar system for all-day atmospheric remote sensing in the boundary layer L. Mei et al. 10.1364/AO.396057
- Mass concentration estimates of long-range-transported Canadian biomass burning aerosols from a multi-wavelength Raman polarization lidar and a ceilometer in Finland X. Shang et al. 10.5194/amt-14-6159-2021
- Improvement of Aerosol Coarse-Mode Detection through Additional Use of Infrared Wavelengths in the Inversion of Arctic Lidar Data C. Böckmann et al. 10.3390/rs16091576
- Spatiotemporal dynamics of fog and low clouds in the Namib unveiled with ground- and space-based observations H. Andersen et al. 10.5194/acp-19-4383-2019
- Long-term aerosol optical hygroscopicity study at the ACTRIS SIRTA observatory: synergy between ceilometer and in situ measurements A. Bedoya-Velásquez et al. 10.5194/acp-19-7883-2019
- 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
- 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
- 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
Saved (final revised paper)
Saved (preprint)
Latest update: 14 Dec 2024
Short summary
Many ceilometers are influenced by water vapor absorption in the spectral range around 910 nm. Thus, a correction is required to retrieve aerosol optical properties. Validation of this correction scheme was performed in the framework of CeiLinEx2015 for several ceilometers with good agreement for Vaisala's CL51 ceilometer. For future applications we recommend monitoring the emitted wavelength and providing
darkmeasurements on a regular basis to be able to correct for signal artifacts.
Many ceilometers are influenced by water vapor absorption in the spectral range around 910 nm....