Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.400 IF 3.400
  • IF 5-year value: 3.841 IF 5-year
    3.841
  • CiteScore value: 3.71 CiteScore
    3.71
  • SNIP value: 1.472 SNIP 1.472
  • IPP value: 3.57 IPP 3.57
  • SJR value: 1.770 SJR 1.770
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 70 Scimago H
    index 70
  • h5-index value: 49 h5-index 49
Discussion papers
https://doi.org/10.5194/amt-2019-154
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2019-154
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 26 Apr 2019

Submitted as: research article | 26 Apr 2019

Review status
This discussion paper is a preprint. A revision of this manuscript was accepted for the journal Atmospheric Measurement Techniques (AMT) and is expected to appear here in due course.

Ice crystal number concentration from measurements of lidar, cloud radar and radar wind profiler

Johannes Bühl, Patric Seifert, Martin Radenz, Holger Baars, and Albert Ansmann Johannes Bühl et al.
  • Leibniz Institute for Tropospheric Research, Permoserstr. 15, 04318 Leipzig, Germany

Abstract. A new method for the retrieval of ice particle number concentrations from combined active remote-sensing measurements of Raman lidar, cloud radar and radar wind profiler is presented. We exploit – for the first time – measurements of terminal fall velocity together with radar reflectivity factor and/or lidar-derived particle extinction coefficient in clouds for retrieving the number concentration of pristine ice particles with presumed particle shapes. A lookup table approach for the retrieval of the properties of the particle size distribution from observed parameters is presented. Analysis of methodological uncertainties and error propagation are performed, which shows that a retrieval of ice particle number concentration is possible within the order of magnitude. Comparison between a retrieval of number concentration based on terminal fall velocity on the one hand and lidar and cloud radar on the other shows agreement within the uncertainties of the retrieval.

Johannes Bühl et al.
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Johannes Bühl et al.
Johannes Bühl et al.
Viewed  
Total article views: 647 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
496 147 4 647 5 6
  • HTML: 496
  • PDF: 147
  • XML: 4
  • Total: 647
  • BibTeX: 5
  • EndNote: 6
Views and downloads (calculated since 26 Apr 2019)
Cumulative views and downloads (calculated since 26 Apr 2019)
Viewed (geographical distribution)  
Total article views: 514 (including HTML, PDF, and XML) Thereof 508 with geography defined and 6 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved  
No saved metrics found.
Discussed  
No discussed metrics found.
Latest update: 13 Nov 2019
Publications Copernicus
Download
Short summary
In the present paper, we present a novel remote-sensing technique for the measurement of ice crystal number concentrations in clouds. The fall velocity of ice crystals measured with a combination of cloud radar and radar wind profiler is used in order to derive information about ice crystal size and number concentration. In contrast to existing methods based on the combination of lidar and cloud radar, the present method can also be used in optically thick clouds.
In the present paper, we present a novel remote-sensing technique for the measurement of ice...
Citation