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: 3.248 IF 3.248
  • IF 5-year value: 3.650 IF 5-year 3.650
  • CiteScore value: 3.37 CiteScore 3.37
  • SNIP value: 1.253 SNIP 1.253
  • SJR value: 1.869 SJR 1.869
  • IPP value: 3.29 IPP 3.29
  • h5-index value: 47 h5-index 47
  • Scimago H index value: 60 Scimago H index 60
Discussion papers
https://doi.org/10.5194/amt-2018-397
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2018-397
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 05 Dec 2018

Research article | 05 Dec 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).

Evolution of DARDAR-CLOUD ice cloud cloud retrieval: new parameters and impacts on the retrieved microphysical properties

Quitterie Cazenave1,2, Marie Ceccaldi1, Julien Delanoë1, Jacques Pelon3, Silke Groß2, and Andrew Heymsfield4 Quitterie Cazenave et al.
  • 1Université Versailles St-Quentin, LATMOS-IPSL, Guyancourt, France
  • 2Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Oberpfaffenhofen, 82234 Weßling, Germany
  • 3CNRS/INSU, LATMOS-IPSL, Paris, France
  • 4NCAR, Boulder, Colorado, USA

Abstract. In this paper we present the latest refinements brought to the DARDAR-CLOUD product, which contains ice cloud microphysical properties retrieved from the cloud radar and lidar measurements from the A-Train mission. Based on a large dataset of in-situ ice cloud measurements collected during several campaigns performed between 2000 and 2007 in different regions of the globe, the parameterizations used in the microphysical model of the algorithm were assessed and refined to 5 better fit the measurements, keeping the same formalism as proposed in DARDAR basis papers. It is shown that these changes can affect the ice water content retrievals by up to 50%, with, globally, a reduction of the ice water content and ice water path. In parallel, the retrieved effective radii increase between 5% and 40%. The largest differences are found for the warmest temperatures (between −20°C and 0°C) in regions where the cloud microphysical processes are more complex and where the retrieval is almost exclusively based on radar-only measurements. In regions where lidar measurements are available, the lidar 10 ratio retrieved for ice clouds is shown to be well constrained by lidar-radar combination or molecular signal detected below thin semi-transparent cirrus. Using this information, the parameterization of the lidar ratio was refined and the new retrieval equals on average 35sr ± 10sr in the temperature range between −60°C and −20°C.

Quitterie Cazenave et al.
Interactive discussion
Status: open (until 30 Jan 2019)
Status: open (until 30 Jan 2019)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Quitterie Cazenave et al.
Quitterie Cazenave et al.
Viewed  
Total article views: 177 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
137 36 4 177 1 2
  • HTML: 137
  • PDF: 36
  • XML: 4
  • Total: 177
  • BibTeX: 1
  • EndNote: 2
Views and downloads (calculated since 05 Dec 2018)
Cumulative views and downloads (calculated since 05 Dec 2018)
Viewed (geographical distribution)  
Total article views: 142 (including HTML, PDF, and XML) Thereof 142 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved  
No saved metrics found.
Discussed  
No discussed metrics found.
Latest update: 18 Dec 2018
Publications Copernicus
Download
Short summary
The impact of ice clouds on the water cycle and radiative budget is still uncertain due to the complexity of cloud processes that makes it difficult to acquire adequate observations of ice cloud properties and parameterize them into climate and weather prediction models. In this paper we present the latest refinements brought to the DARDAR-CLOUD product, which contains ice cloud microphysical properties retrieved from the cloud radar and lidar measurements from the A-Train space mission.
The impact of ice clouds on the water cycle and radiative budget is still uncertain due to the...
Citation
Share