Journal cover Journal topic
Annales Geophysicae An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 1.621 IF 1.621
  • IF 5-year value: 1.614 IF 5-year 1.614
  • CiteScore value: 1.61 CiteScore 1.61
  • SNIP value: 0.900 SNIP 0.900
  • SJR value: 0.910 SJR 0.910
  • IPP value: 1.58 IPP 1.58
  • h5-index value: 24 h5-index 24
  • Scimago H index value: 80 Scimago H index 80
Volume 36, issue 1 | Copyright
Ann. Geophys., 36, 213-229, 2018
https://doi.org/10.5194/angeo-36-213-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Regular paper 14 Feb 2018

Regular paper | 14 Feb 2018

Relative humidity vertical profiling using lidar-based synergistic methods in the framework of the Hygra-CD campaign

Lev D. Labzovskii1, Alexandros Papayannis2, Ioannis Binietoglou3,4, Robert F. Banks5,6, Jose M. Baldasano5,7, Florica Toanca3, Chris G. Tzanis8, and John Christodoulakis8 Lev D. Labzovskii et al.
  • 1School of Environmental Science and Engineering, South University of Science and Technology of China, Shenzhen 518055, China
  • 2Laser Remote Sensing Laboratory, Physics Department, National Technical University of Athens, Athens, Zografou, 15780, Greece
  • 3Laser Remote Sensing Laboratory, National Institute of R&D for Optoelectronics, Magurele (Ilfov), 07712, Romania
  • 4Raymterics S.A., Spartis 32, Metamorfosi Attikis, 14452, Greece
  • 5Earth Sciences Department, Barcelona Supercomputing Center-Centro Nacional de Supercomutación (BSC-CNS), Barcelona, 08034, Spain
  • 6Department of Geoscience and Remote Sensing, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, 2628 CN, the Netherlands
  • 7Environmental Modelling Laboratory, Technical University of Catalonia (UPC), Barcelona, 08028, Spain
  • 8Section of Environmental Physics and Meteorology, Department of Physics, National and Kapodistrian University of Athens, Athens, 15784, Greece

Abstract. Accurate continuous measurements of relative humidity (RH) vertical profiles in the lower troposphere have become a significant scientific challenge. In recent years a synergy of various ground-based remote sensing instruments have been successfully used for RH vertical profiling, which has resulted in the improvement of spatial resolution and, in some cases, of the accuracy of the measurement. Some studies have also suggested the use of high-resolution model simulations as input datasets into RH vertical profiling techniques. In this paper we apply two synergetic methods for RH profiling, including the synergy of lidar with a microwave radiometer and high-resolution atmospheric modeling. The two methods are employed for RH retrieval between 100 and 6000m with increased spatial resolution, based on datasets from the HygrA-CD (Hygroscopic Aerosols to Cloud Droplets) campaign conducted in Athens, Greece from May to June 2014. RH profiles from synergetic methods are then compared with those retrieved using single instruments or as simulated by high-resolution models. Our proposed technique for RH profiling provides improved statistical agreement with reference to radiosoundings by 27% when the lidar–radiometer (in comparison with radiometer measurements) approach is used and by 15% when a lidar model is used (in comparison with WRF-model simulations). Mean uncertainty of RH due to temperature bias in RH profiling was  ∼ 4.34% for the lidar–radiometer and  ∼ 1.22% for the lidar–model methods. However, maximum uncertainty in RH retrievals due to temperature bias showed that lidar-model method is more reliable at heights greater than 2000m. Overall, our results have demonstrated the capability of both combined methods for daytime measurements in heights between 100 and 6000m when lidar–radiometer or lidar–WRF combined datasets are available.

Publications Copernicus
Download
Short summary
This study aims to evaluate synergetic methods for relative humidity vertical profiling based on lidar–radiometer and lidar–simulation combinations. We demonstrate the effectiveness of combined lidar-based methods for relative humidity profiling in comparison with radiometer observations or WRF simulations and assess temperature-related uncertainties in resulting relative humidity profiles. All results are acquired during the HygrA-CD campaign in Athens (Greece) in 2014.
This study aims to evaluate synergetic methods for relative humidity vertical profiling based on...
Citation
Share