Documents

DOI

  • Lev D. Labzovskii
  • Alexandros Papayannis
  • Ioannis Binietoglou
  • Robert F. Banks
  • Jose M. Baldasano
  • Florica Toanca
  • Chris G. Tzanis
  • John Christodoulakis

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 6000ĝ€m 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 27ĝ€% when the lidar-radiometer (in comparison with radiometer measurements) approach is used and by 15ĝ€% when a lidar model is used (in comparison with WRF-model simulations). Mean uncertainty of RH due to temperature bias in RH profiling was ĝ1/4 4.34ĝ€% for the lidar-radiometer and ĝ1/4 1.22ĝ€% 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 2000ĝ€m. Overall, our results have demonstrated the capability of both combined methods for daytime measurements in heights between 100 and 6000ĝ€m when lidar-radiometer or lidar-WRF combined datasets are available.

Original languageEnglish
Pages (from-to)213-229
Number of pages17
JournalAnnales Geophysicae: atmospheres, hydrospheres and space sciences
Volume36
Issue number1
DOIs
Publication statusPublished - 14 Feb 2018

    Research areas

  • Atmospheric composition and structure (instruments and techniques)

ID: 40072920