Articles | Volume 15, issue 14
https://doi.org/10.5194/acp-15-7753-2015
© Author(s) 2015. This work is distributed under
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the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-15-7753-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
16 Jul 2015
Research article |
| 16 Jul 2015
Water vapour profiles from Raman lidar automatically calibrated by microwave radiometer data during HOPE
Leipzig Institute for Meteorology, University of Leipzig, Leipzig, Germany
Leibniz Institute for Tropospheric Research, Leipzig, Germany
P. Di Girolamo
Scuola di Ingegneria, Università degli Studi della Basilicata, Potenza, Italy
B. Pospichal
Leipzig Institute for Meteorology, University of Leipzig, Leipzig, Germany
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Cited
22 citations as recorded by crossref.
- 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
- Calibration of a water vapour Raman lidar using GRUAN-certified radiosondes and a new trajectory method S. Hicks-Jalali et al. 10.5194/amt-12-3699-2019
- Validation of the Water Vapor Profiles of the Raman Lidar at the Maïdo Observatory (Reunion Island) Calibrated with Global Navigation Satellite System Integrated Water Vapor H. Vérèmes et al. 10.3390/atmos10110713
- The HD(CP)<sup>2</sup> Observational Prototype Experiment (HOPE) – an overview A. Macke et al. 10.5194/acp-17-4887-2017
- Relative humidity vertical profiling using lidar-based synergistic methods in the framework of the Hygra-CD campaign L. Labzovskii et al. 10.5194/angeo-36-213-2018
- A novel automatic calibration system for water vapor Raman LIDAR G. Martucci et al. 10.1051/epjconf/201817605008
- Lidar Observed Optical Properties of Tropical Cirrus Clouds Over Gadanki Region N. Manoj Kumar & K. Venkatramanan 10.3389/feart.2020.00140
- Water Vapor Calibration: Using a Raman Lidar and Radiosoundings to Obtain Highly Resolved Water Vapor Profiles B. Kulla & C. Ritter 10.3390/rs11060616
- Optimal estimation of water vapour profiles using a combination of Raman lidar and microwave radiometer A. Foth & B. Pospichal 10.5194/amt-10-3325-2017
- Raman lidar water vapor profiling over Warsaw, Poland I. Stachlewska et al. 10.1016/j.atmosres.2017.05.004
- Calibration of a water vapour Raman lidar with a kite-based humidity sensor J. Totems & P. Chazette 10.5194/amt-9-1083-2016
- The Evolution of Springtime Water Vapor Over Beijing Observed by a High Dynamic Raman Lidar System: Case Studies T. Su et al. 10.1109/JSTARS.2017.2653811
- Profiling water vapor mixing ratios in Finland by means of a Raman lidar, a satellite and a model M. Filioglou et al. 10.5194/amt-10-4303-2017
- The automated multiwavelength Raman polarization and water-vapor lidar Polly<sup>XT</sup>: the neXT generation R. Engelmann et al. 10.5194/amt-9-1767-2016
- Ground-based lidar and microwave radiometry synergy for high vertical resolution absolute humidity profiling M. Barrera-Verdejo et al. 10.5194/amt-9-4013-2016
- Automatic Lidar Calibration and Processing Program for Multiwavelength Raman Polarization Lidar Z. Yin et al. 10.1051/epjconf/202023708007
- An overview of the first decade of Polly<sup>NET</sup>: an emerging network of automated Raman-polarization lidars for continuous aerosol profiling H. Baars et al. 10.5194/acp-16-5111-2016
- Synergy of Raman Lidar and Modeled Temperature for Relative Humidity Profiling: Assessment and Uncertainty Analysis C. Munoz-Porcar et al. 10.1109/TGRS.2020.3039689
- Evaluation of a Compact Broadband Differential Absorption Lidar for Routine Water Vapor Profiling in the Atmospheric Boundary Layer R. Newsom et al. 10.1175/JTECH-D-18-0102.1
- Retrieval of water vapor mixing ratio from a multiple channel Raman-scatter lidar using an optimal estimation method R. Sica & A. Haefele 10.1364/AO.55.000763
- Calibration of Raman lidar water vapor profiles by means of AERONET photometer observations and GDAS meteorological data G. Dai et al. 10.5194/amt-11-2735-2018
- Continuous Time Series of Water Vapor Profiles from a Combination of Raman Lidar and Microwave Radiometer A. Foth et al. 10.1051/epjconf/201611905001
21 citations as recorded by crossref.
- 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
- Calibration of a water vapour Raman lidar using GRUAN-certified radiosondes and a new trajectory method S. Hicks-Jalali et al. 10.5194/amt-12-3699-2019
- Validation of the Water Vapor Profiles of the Raman Lidar at the Maïdo Observatory (Reunion Island) Calibrated with Global Navigation Satellite System Integrated Water Vapor H. Vérèmes et al. 10.3390/atmos10110713
- The HD(CP)<sup>2</sup> Observational Prototype Experiment (HOPE) – an overview A. Macke et al. 10.5194/acp-17-4887-2017
- Relative humidity vertical profiling using lidar-based synergistic methods in the framework of the Hygra-CD campaign L. Labzovskii et al. 10.5194/angeo-36-213-2018
- A novel automatic calibration system for water vapor Raman LIDAR G. Martucci et al. 10.1051/epjconf/201817605008
- Lidar Observed Optical Properties of Tropical Cirrus Clouds Over Gadanki Region N. Manoj Kumar & K. Venkatramanan 10.3389/feart.2020.00140
- Water Vapor Calibration: Using a Raman Lidar and Radiosoundings to Obtain Highly Resolved Water Vapor Profiles B. Kulla & C. Ritter 10.3390/rs11060616
- Optimal estimation of water vapour profiles using a combination of Raman lidar and microwave radiometer A. Foth & B. Pospichal 10.5194/amt-10-3325-2017
- Raman lidar water vapor profiling over Warsaw, Poland I. Stachlewska et al. 10.1016/j.atmosres.2017.05.004
- Calibration of a water vapour Raman lidar with a kite-based humidity sensor J. Totems & P. Chazette 10.5194/amt-9-1083-2016
- The Evolution of Springtime Water Vapor Over Beijing Observed by a High Dynamic Raman Lidar System: Case Studies T. Su et al. 10.1109/JSTARS.2017.2653811
- Profiling water vapor mixing ratios in Finland by means of a Raman lidar, a satellite and a model M. Filioglou et al. 10.5194/amt-10-4303-2017
- The automated multiwavelength Raman polarization and water-vapor lidar Polly<sup>XT</sup>: the neXT generation R. Engelmann et al. 10.5194/amt-9-1767-2016
- Ground-based lidar and microwave radiometry synergy for high vertical resolution absolute humidity profiling M. Barrera-Verdejo et al. 10.5194/amt-9-4013-2016
- Automatic Lidar Calibration and Processing Program for Multiwavelength Raman Polarization Lidar Z. Yin et al. 10.1051/epjconf/202023708007
- An overview of the first decade of Polly<sup>NET</sup>: an emerging network of automated Raman-polarization lidars for continuous aerosol profiling H. Baars et al. 10.5194/acp-16-5111-2016
- Synergy of Raman Lidar and Modeled Temperature for Relative Humidity Profiling: Assessment and Uncertainty Analysis C. Munoz-Porcar et al. 10.1109/TGRS.2020.3039689
- Evaluation of a Compact Broadband Differential Absorption Lidar for Routine Water Vapor Profiling in the Atmospheric Boundary Layer R. Newsom et al. 10.1175/JTECH-D-18-0102.1
- Retrieval of water vapor mixing ratio from a multiple channel Raman-scatter lidar using an optimal estimation method R. Sica & A. Haefele 10.1364/AO.55.000763
- Calibration of Raman lidar water vapor profiles by means of AERONET photometer observations and GDAS meteorological data G. Dai et al. 10.5194/amt-11-2735-2018
Saved (final revised paper)
Latest update: 02 Jun 2023
Short summary
We present a method to derive water vapour profiles from Raman lidar measurements calibrated by the integrated water vapour from a collocated microwave radiometer. These simultaneous observations provide an operational and continuous measurement of water vapour profiles. The stability of the calibration factor allows for the calibration of the lidar even in the presence of clouds. Based on this approach, water vapour profiles can be retrieved during all non-precipitating conditions.
We present a method to derive water vapour profiles from Raman lidar measurements calibrated by...
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