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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Discussion papers
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 21 Jun 2019

Submitted as: research article | 21 Jun 2019

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

Statistical Analysis of Ice Microphysical Properties in Tropical Mesoscale Convective Systems Derived from Cloud Radar and In-Situ Microphysical Observations

Emmanuel Fontaine1,a, Alfons Schwarzenboeck1, Delphine Leroy1, Julien Delanoë2, Alain Protat3, Fabien Dezitter4, John Walter Strapp5, and Lyle Edward Lilie5 Emmanuel Fontaine et al.
  • 1Laboratoire de Météorologie Physique, UCA, CNRS, Aubière, France
  • 2Laboratoire Atmosphère, Milieux et Observations Spatiales, UVSQ, Guyancourt, France
  • 3Center for Australian Weather and Climate Research, Melbourne, Australia
  • 4Airbus Helicopters, Toulouse, France
  • 5Met Analytics, Toronto, Canada
  • anow at: Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan

Abstract. This study presents a statistical analysis of the properties of ice hydrometeors in tropical mesoscale convective systems observed during four different aircraft campaigns. Among the instruments on board the aircraft, we focus on the synergy of a 94 GHz cloud radar and 2 optical array probes (OAP; measuring hydrometeor sizes from 10 µm to about 1 cm). For two campaigns, an accurate simultaneous measurement of the ice water content is available, while for the two others, ice water content is retrieved from the synergy of the radar reflectivity measurements and hydrometeor size and morphological retrievals from OAP probes. The statistics of ice hydrometeor properties is calculated as a function of radar reflectivity factor measurement percentiles and temperature. Hence, MCS microphysical properties (ice water content, visible extinction, mass-size relationship coefficients, total concentrations and second and third moment of hydrometeors size distribution) are sorted in temperature (thus altitude) zones, and subsequently each individual campaign is analysed with respect to median microphysical properties of the global dataset (merging all 4 campaign datasets). The study demonstrates that ice water content, visible extinction, total crystal concentration, and second and third moments of hydrometeors size distributions are similar in all 4 type of MCS for IWC larger than 0.1 g m−3. Finally, two parameterizations are developed for deep convective systems. The first one concerns the calculation of the visible extinction as a function of temperature and ice water content. The second one concerns the calculation of hydrometeor size distributions as a function of ice water content and temperature that can be used in numerical weather prediction.

Emmanuel Fontaine et al.
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Status: final response (author comments only)
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Emmanuel Fontaine et al.
Emmanuel Fontaine et al.
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Publications Copernicus
Short summary
This study investigates properties of ice hydrometeors (shape, concentrations, density and size) in deep convective systems. The analysis focuses on similarities and differences over four locations in tropical troposphere. It shows that measurements as function of temperature and radar reflectivity factors tend to be similar in the four type of deep convective systems when concentration of ice is larger than 0.1 grams per cubic meter.
This study investigates properties of ice hydrometeors (shape, concentrations, density and size)...