Articles | Volume 9, issue 11
https://doi.org/10.5194/amt-9-5347-2016
© 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-9-5347-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Nov 2016
Research article |
| 07 Nov 2016
Radiation fog formation alerts using attenuated backscatter power from automatic lidars and ceilometers
Martial Haeffelin
CORRESPONDING AUTHOR
Institut Pierre Simon Laplace, Ecole Polytechnique, Centre National de
la Recherche Scientifique, 91128 Palaiseau, France
Quentin Laffineur
Royal Meteorological Institute of Belgium, 1180 Uccle, Belgium
Juan-Antonio Bravo-Aranda
Institut Pierre Simon Laplace, Ecole Polytechnique, Centre National de
la Recherche Scientifique, 91128 Palaiseau, France
Marc-Antoine Drouin
Laboratoire de Météorologie Dynamique, Ecole Polytechnique,
Centre National de la Recherche Scientifique, 91128 Palaiseau, France
Juan-Andrés Casquero-Vera
Laboratoire de Météorologie Dynamique, Ecole Polytechnique,
Centre National de la Recherche Scientifique, 91128 Palaiseau, France
Department of Applied Physic, University of Granada, 18071 Granada,
Spain
Jean-Charles Dupont
Institut Pierre Simon Laplace, Université Versailles Saint
Quentin-en-Yvelines, 78280 Guyancourt, France
Hugo De Backer
Royal Meteorological Institute of Belgium, 1180 Uccle, Belgium
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Cited
34 citations as recorded by crossref.
- How Can Existing Ground-Based Profiling Instruments Improve European Weather Forecasts? A. Illingworth et al. 10.1175/BAMS-D-17-0231.1
- Blowing snow detection from ground-based ceilometers: application to East Antarctica A. Gossart et al. 10.5194/tc-11-2755-2017
- Observed aerosol characteristics to improve forward-modelled attenuated backscatter in urban areas E. Warren et al. 10.1016/j.atmosenv.2019.117177
- 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
- Polarized Laser Backscattering of Atmospheric Cloud Distribution Based on Simulated Annealing Algorithm S. Ren et al. 10.1155/2021/6635828
- Detection of Precipitation and Fog Using Machine Learning on Backscatter Data from Lidar Ceilometer Y. Kim et al. 10.3390/app10186452
- Cross-evaluating WRF-Chem v4.1.2, TROPOMI, APEX, and in situ NO2 measurements over Antwerp, Belgium C. Poraicu et al. 10.5194/gmd-16-479-2023
- Understanding the dissipation of continental fog by analysing the LWP budget using idealized LES and in situ observations E. Wærsted et al. 10.1002/qj.3465
- Radiation in fog: quantification of the impact on fog liquid water based on ground-based remote sensing E. Wærsted et al. 10.5194/acp-17-10811-2017
- Near-real-time processing of a ceilometer network assisted with sun-photometer data: monitoring a dust outbreak over the Iberian Peninsula A. Cazorla et al. 10.5194/acp-17-11861-2017
- On the Formation and Development of Radiation Fog: An Observational Study J. Price 10.1007/s10546-019-00444-5
- Towards Early Detection of Tropospheric Aerosol Layers Using Monitoring with Ceilometer, Photometer, and Air Mass Trajectories M. Adam et al. 10.3390/rs14051217
- PARAFOG v2.0: a near-real-time decision tool to support nowcasting fog formation events at local scales J. Ribaud et al. 10.5194/amt-14-7893-2021
- 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
- W-band radar observations for fog forecast improvement: an analysis of model and forward operator errors A. Bell et al. 10.5194/amt-14-4929-2021
- On the Conditions for Onset and Development of Fog Over New Delhi: An Observational Study from the WiFEX N. Dhangar et al. 10.1007/s00024-021-02800-4
- Aerosol parameterisation in a three-moment microphysical scheme: Numerical simulation of submicron-sized aerosol scavenging V. Vučković et al. 10.1016/j.atmosres.2022.106148
- Hygroscopic growth study in the framework of EARLINET during the SLOPE I campaign: synergy of remote sensing and in situ instrumentation A. Bedoya-Velásquez et al. 10.5194/acp-18-7001-2018
- A method to assess the cloud-aerosol transition zone from ceilometer measurements J. Ruiz de Morales et al. 10.1016/j.atmosres.2024.107623
- An EARLINET early warning system for atmospheric aerosol aviation hazards N. Papagiannopoulos et al. 10.5194/acp-20-10775-2020
- LANFEX: A Field and Modeling Study to Improve Our Understanding and Forecasting of Radiation Fog J. Price et al. 10.1175/BAMS-D-16-0299.1
- Evaluation of ceilometer attenuated backscattering coefficients for aerosol profile measurement Y. Jin et al. 10.1117/1.JRS.12.042604
- Characterization of aerosol hygroscopicity using Raman lidar measurements at the EARLINET station of Payerne F. Navas-Guzmán et al. 10.5194/acp-19-11651-2019
- 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
- Fogs: Physical Basis, Characteristic Properties, and Impacts on the Environment and Human Health J. Pérez-Díaz et al. 10.3390/w9100807
- Evaluation of forward-modelled attenuated backscatter using an urban ceilometer network in London under clear-sky conditions E. Warren et al. 10.1016/j.atmosenv.2018.04.045
- A new conceptual model for adiabatic fog F. Toledo et al. 10.5194/acp-21-13099-2021
- Towards the profiling of the atmospheric boundary layer at European scale—introducing the COST Action PROBE D. Cimini et al. 10.1007/s42865-020-00003-8
- Passive ground-based remote sensing of radiation fog H. Guy et al. 10.5194/amt-15-5095-2022
- Retrieval of aerosol profiles combining sunphotometer and ceilometer measurements in GRASP code R. Román et al. 10.1016/j.atmosres.2018.01.021
- Validation of TROPOMI tropospheric NO2 columns using dual-scan multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements in Uccle, Brussels E. Dimitropoulou et al. 10.5194/amt-13-5165-2020
- Ceilometer inversion method using water-vapor correction from co-located microwave radiometer for aerosol retrievals A. Bedoya-Velásquez et al. 10.1016/j.atmosres.2020.105379
- Spatiotemporal changes in aerosol properties by hygroscopic growth and impacts on radiative forcing and heating rates during DISCOVER-AQ 2011 D. Pérez-Ramírez et al. 10.5194/acp-21-12021-2021
- Measurement report: Spectral and statistical analysis of aerosol hygroscopic growth from multi-wavelength lidar measurements in Barcelona, Spain M. Sicard et al. 10.5194/acp-22-7681-2022
34 citations as recorded by crossref.
- How Can Existing Ground-Based Profiling Instruments Improve European Weather Forecasts? A. Illingworth et al. 10.1175/BAMS-D-17-0231.1
- Blowing snow detection from ground-based ceilometers: application to East Antarctica A. Gossart et al. 10.5194/tc-11-2755-2017
- Observed aerosol characteristics to improve forward-modelled attenuated backscatter in urban areas E. Warren et al. 10.1016/j.atmosenv.2019.117177
- 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
- Polarized Laser Backscattering of Atmospheric Cloud Distribution Based on Simulated Annealing Algorithm S. Ren et al. 10.1155/2021/6635828
- Detection of Precipitation and Fog Using Machine Learning on Backscatter Data from Lidar Ceilometer Y. Kim et al. 10.3390/app10186452
- Cross-evaluating WRF-Chem v4.1.2, TROPOMI, APEX, and in situ NO2 measurements over Antwerp, Belgium C. Poraicu et al. 10.5194/gmd-16-479-2023
- Understanding the dissipation of continental fog by analysing the LWP budget using idealized LES and in situ observations E. Wærsted et al. 10.1002/qj.3465
- Radiation in fog: quantification of the impact on fog liquid water based on ground-based remote sensing E. Wærsted et al. 10.5194/acp-17-10811-2017
- Near-real-time processing of a ceilometer network assisted with sun-photometer data: monitoring a dust outbreak over the Iberian Peninsula A. Cazorla et al. 10.5194/acp-17-11861-2017
- On the Formation and Development of Radiation Fog: An Observational Study J. Price 10.1007/s10546-019-00444-5
- Towards Early Detection of Tropospheric Aerosol Layers Using Monitoring with Ceilometer, Photometer, and Air Mass Trajectories M. Adam et al. 10.3390/rs14051217
- PARAFOG v2.0: a near-real-time decision tool to support nowcasting fog formation events at local scales J. Ribaud et al. 10.5194/amt-14-7893-2021
- 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
- W-band radar observations for fog forecast improvement: an analysis of model and forward operator errors A. Bell et al. 10.5194/amt-14-4929-2021
- On the Conditions for Onset and Development of Fog Over New Delhi: An Observational Study from the WiFEX N. Dhangar et al. 10.1007/s00024-021-02800-4
- Aerosol parameterisation in a three-moment microphysical scheme: Numerical simulation of submicron-sized aerosol scavenging V. Vučković et al. 10.1016/j.atmosres.2022.106148
- Hygroscopic growth study in the framework of EARLINET during the SLOPE I campaign: synergy of remote sensing and in situ instrumentation A. Bedoya-Velásquez et al. 10.5194/acp-18-7001-2018
- A method to assess the cloud-aerosol transition zone from ceilometer measurements J. Ruiz de Morales et al. 10.1016/j.atmosres.2024.107623
- An EARLINET early warning system for atmospheric aerosol aviation hazards N. Papagiannopoulos et al. 10.5194/acp-20-10775-2020
- LANFEX: A Field and Modeling Study to Improve Our Understanding and Forecasting of Radiation Fog J. Price et al. 10.1175/BAMS-D-16-0299.1
- Evaluation of ceilometer attenuated backscattering coefficients for aerosol profile measurement Y. Jin et al. 10.1117/1.JRS.12.042604
- Characterization of aerosol hygroscopicity using Raman lidar measurements at the EARLINET station of Payerne F. Navas-Guzmán et al. 10.5194/acp-19-11651-2019
- 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
- Fogs: Physical Basis, Characteristic Properties, and Impacts on the Environment and Human Health J. Pérez-Díaz et al. 10.3390/w9100807
- Evaluation of forward-modelled attenuated backscatter using an urban ceilometer network in London under clear-sky conditions E. Warren et al. 10.1016/j.atmosenv.2018.04.045
- A new conceptual model for adiabatic fog F. Toledo et al. 10.5194/acp-21-13099-2021
- Towards the profiling of the atmospheric boundary layer at European scale—introducing the COST Action PROBE D. Cimini et al. 10.1007/s42865-020-00003-8
- Passive ground-based remote sensing of radiation fog H. Guy et al. 10.5194/amt-15-5095-2022
- Retrieval of aerosol profiles combining sunphotometer and ceilometer measurements in GRASP code R. Román et al. 10.1016/j.atmosres.2018.01.021
- Validation of TROPOMI tropospheric NO2 columns using dual-scan multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements in Uccle, Brussels E. Dimitropoulou et al. 10.5194/amt-13-5165-2020
- Ceilometer inversion method using water-vapor correction from co-located microwave radiometer for aerosol retrievals A. Bedoya-Velásquez et al. 10.1016/j.atmosres.2020.105379
- Spatiotemporal changes in aerosol properties by hygroscopic growth and impacts on radiative forcing and heating rates during DISCOVER-AQ 2011 D. Pérez-Ramírez et al. 10.5194/acp-21-12021-2021
- Measurement report: Spectral and statistical analysis of aerosol hygroscopic growth from multi-wavelength lidar measurements in Barcelona, Spain M. Sicard et al. 10.5194/acp-22-7681-2022
Discussed (final revised paper)
Discussed (preprint)
Latest update: 20 Nov 2024
Short summary
Air traffic at busy airports can be significantly disrupted because low visibility due to fog makes it unsafe to take off, land and taxi on the ground. In this paper we show how automatic profiling lidar ceilometer measurements, available at most airports, can be used to provide pre-fog alert information, and hence help airport weather forecasters to better predict these low visibility conditions. This research was carried out in the context of a field campaign at Paris CDG airport (France).
Air traffic at busy airports can be significantly disrupted because low visibility due to fog...
