Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.509 IF 5.509
  • IF 5-year value: 5.689 IF 5-year
  • CiteScore value: 5.44 CiteScore
  • SNIP value: 1.519 SNIP 1.519
  • SJR value: 3.032 SJR 3.032
  • IPP value: 5.37 IPP 5.37
  • h5-index value: 86 h5-index 86
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 161 Scimago H
    index 161
Discussion papers
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 17 Dec 2018

Research article | 17 Dec 2018

Review status
This discussion paper is a preprint. A revision of the manuscript is under review for the journal Atmospheric Chemistry and Physics (ACP).

Retrieval of ice nucleating particle concentrations from lidar observations: Comparison with airborne in-situ measurements from UAVs

Eleni Marinou1,2,3, Matthias Tesche4, Athanasios Nenes5,6,7,8, Albert Ansmann9, Jann Schrod10, Dimitra Mamali11, Alexandra Tsekeri2, Michael Pikridas12, Holger Baars9, Ronny Engelmann9, Kalliopi-Artemis Voudouri3, Stavros Solomos2, Jean Sciare12, Silke Groβ1, and Vassilis Amiridis2 Eleni Marinou et al.
  • 1Institute of Atmospheric Physics, German Aerospace Center (DLR), Oberpfaffenhofen, 82234, Germany
  • 2IAASARS, National Observatory of Athens, Athens, 15236, Greece
  • 3Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece
  • 4University of Hertfordshire, College Lane, AL10 9AB Hatfield, UK
  • 5Laboratory of Atmospheric processes and Their Impact (LAPI ), School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, 1015, Switzerland
  • 6School of Earth Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA
  • 7IERSD, National Observatory of Athens, Athens, 15236, Greece
  • 8Institute of Chemical Engineering Sciences, Foundation for Research and Technology, Hellas, Patras, 26504, Greece
  • 9Leibniz Institute for Tropospheric Research, 04318 Leipzig, Germany
  • 10Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438, Frankfurt am Main, Germany
  • 11Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, the Netherlands
  • 12The Cyprus Institute, Energy, Environment and Water Research Centre, Nicosia, Cyprus

Abstract. Aerosols that are efficient ice nucleating particles (INPs) are crucial for the formation of cloud ice via heterogeneous nucleation in the atmosphere. The distribution of INPs on a large spatial scale and as a function of height determines their impact on clouds and climate. However, in-situ measurements of INPs provide sparse coverage over space and time. A promising approach to address this gap is to retrieve INP concentration profiles by combining particle concentration profiles derived by lidar measurements with INP efficiency parametrization for different freezing mechanisms (immersion freezing, deposition nucleation). Here, we assess the feasibility of this new method for both ground-based and space-borne lidar measurements, using airborne in-situ observations from an experimental campaign at Cyprus in April 2016. Analyzing five case studies we calculated the particle number concentrations using lidar measurements (with an uncertainty of 20 to 100 %) and we assessed the suitability of the different INP parameterizations with respect to the temperature range and the type of particles considered. Specifically, our analysis suggests that the parametrization of Ullrich et al. (2017) (applicable for the temperature range −50 °C to −33 °C) agree within 1 order of magnitude with the in-situ observations of nINP and can efficiently address the deposition nucleation pathway in dust-dominated environments. Additionally, the combination of the parameterizations of DeMott et al. (2015) and DeMott et al. (2010) (applicable 15 for the temperature range −35 °C to −9 °C) agree within 2 orders of magnitude with the in-situ observations of nINP and can efficiently address the immersion/condensation pathway of dust and continental/anthropogenic particles. The same conclusion is derived from the compilation of the parameterizations of DeMott et al. (2015) for dust and Ullrich et al. (2017) for soot. Furthermore, we applied this methodology to estimate the INP concentration profiles before and after a cloud formation, indicating the seeding role of the particles and their subsequent impact on cloud formation and characteristics. More synergistic data-sets are expected to become available in the future from EARLINET (European Aerosol Research Lidar NETwork) and in the frame of the European ACTRIS-RI (Aerosols, Clouds and Trace gases Research Infrastructure). Our analysis shown that the developed techniques, when applied on CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) space-born lidar observations, are in very good agreement with the in-situ measurements. This study give us confidence for the production of global 3D products of n250,dry, Sdry and nINP using the CALIPSO 13-yrs dataset. This could provide valuable insight into global height-resolved distribution of INP concentrations related to mineral dust, and possibly other aerosol types.

Eleni Marinou et al.
Interactive discussion
Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Login for Authors/Co-Editors] [Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Eleni Marinou et al.
Eleni Marinou et al.
Total article views: 664 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
490 169 5 664 3 4
  • HTML: 490
  • PDF: 169
  • XML: 5
  • Total: 664
  • BibTeX: 3
  • EndNote: 4
Views and downloads (calculated since 17 Dec 2018)
Cumulative views and downloads (calculated since 17 Dec 2018)
Viewed (geographical distribution)  
Total article views: 524 (including HTML, PDF, and XML) Thereof 521 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
No saved metrics found.
No discussed metrics found.
Latest update: 15 Jun 2019
Publications Copernicus