Development of a temperature and water vapor Raman lidar for turbulent observations

Ristori, P.; Froidevaux, M.; Dinoev, Todor; Serikov, Ilya; Simeonov, V.; Parlange, Marc B.; Bergh, Hubert van den

doi:10.1117/12.629376

Cited by 5 publications

(4 citation statements)

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“…The telescope sizes and their orientation with respect to the laser beam have been selected so that the intensity variation due to the range dependence of the composite signal is lower than 60% from 50 to 500 m as shown in Fig. A.1 [52,56,51]. The small dynamic range of the composite signal yields nearly constant statistical error with constant temporal and spatial resolution over the entire operational range of the lidar while also helping to minimize the errors caused in the analog-to-digital conversion of the signals.…”

Section: A2 Epfl Raman Lidarmentioning

confidence: 99%

A Raman lidar to measure water vapor in the atmospheric boundary layer

Froidevaux

Higgins

Simeonov

et al. 2013

Advances in Water Resources

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Section: A2 Epfl Raman Lidarmentioning

confidence: 99%

A Raman lidar to measure water vapor in the atmospheric boundary layer

Froidevaux

Higgins

Simeonov

et al. 2013

Advances in Water Resources

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“…On the other hand, the use of Raman lidars for the acquisition of information on aerosol and water vapour, which permits the study of the same air volume, is a powerful and attractive approach to study aerosol-climate interactions, because the optical properties of particles strongly depend on RH (Navas-Guzmán et al, 2013). At present, the rotational Raman lidar technology allows simultaneous measurements of temperature and water vapour mixing ratio profiles to retrieve RH profiles (Brocard et al, 2013;Mattis et al, 2002;Reichardt et al, 2012;Ristori et al, 2005). The main problem is that the use of such systems is not widespread and most common lidar systems only provide water vapour mixing ratio profiles.…”

Section: Retrieval Of Relative Humidity Using Raman Lidar and Temperamentioning

confidence: 99%

Tropospheric water vapour and relative humidity profiles from lidar and microwave radiometry

Navas-Guzmán¹,

Fernández‐Gálvez²,

Granados-Muñoz³

et al. 2013

Preprint

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Abstract. In this paper, we outline an iterative method to calibrate the water vapour mixing ratio profiles retrieved from Raman lidar measurements. Simultaneous and co-located radiosonde data are used for this purpose and the calibration results obtained during a radiosonde campaign performed in Summer and Autumn 2011 are presented. The water vapour profiles measured during nighttime by the Raman lidar and radiosondes are compared and the differences between the methodologies are discussed. Moreover, a new approach to obtain relative humidity profiles by combination of simultaneous profiles of temperature (retrieved from a microwave radiometer) and water vapour mixing ratio (from a Raman lidar) is addressed. In the last part of this work, a statistical analysis of water vapour mixing ratio and relative humidity profiles obtained during one year of simultaneous measurements is presented.

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“…On the other hand, the use of Raman lidars for the acquisition of information on aerosol and water vapour, which permits the study of the same air volume, is a powerful and attractive approach to study aerosol-climate interactions, because the optical properties of particles strongly depend on RH (Navas- Guzmán et al, 2013). At present, the rotational Raman lidar technology allows simultaneous measurements of temperature and water vapour mixing ratio profiles to retrieve RH profiles (Brocard et al, 2013;Mattis et al, 2002;Reichardt et al, 2012;Ristori et al, 2005). The main problem is that the use of such systems is not widespread and most common lidar systems only provide water vapour mixing ratio profiles.…”

Section: Retrieval Of Relative Humidity Using Raman Lidar and Temperamentioning

confidence: 99%

Tropospheric water vapour and relative humidity profiles from lidar and microwave radiometry

et al. 2014

View full text Add to dashboard Cite

Abstract. In this paper, we outline an iterative method to calibrate the water vapour mixing ratio profiles retrieved from Raman lidar measurements. Simultaneous and co-located radiosonde data are used for this purpose and the calibration results obtained during a radiosonde campaign in summer and autumn 2011 are presented. The water vapour profiles measured during night-time by the Raman lidar and radiosondes are compared and the differences between the methodologies are discussed. Then, a new approach to obtain relative humidity profiles by combination of simultaneous profiles of temperature (retrieved from a microwave radiometer) and water vapour mixing ratio (from a Raman lidar) is addressed. In the last part of this work, a statistical analysis of water vapour mixing ratio and relative humidity profiles obtained during 1 year of simultaneous measurements is presented.

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Development of a temperature and water vapor Raman lidar for turbulent observations

Cited by 5 publications

References 0 publications

A Raman lidar to measure water vapor in the atmospheric boundary layer

A Raman lidar to measure water vapor in the atmospheric boundary layer

Tropospheric water vapour and relative humidity profiles from lidar and microwave radiometry

Tropospheric water vapour and relative humidity profiles from lidar and microwave radiometry

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