Preprints
https://doi.org/10.5194/acp-2022-263
https://doi.org/10.5194/acp-2022-263
 
11 Apr 2022
11 Apr 2022
Status: this preprint is currently under review for the journal ACP.

Ice microphysical processes in the dendritic growth layer: A statistical analysis combining multi-frequency and polarimetric Doppler cloud radar observations

Leonie von Terzi1, José Dias Neto2, Davide Ori1, Alexander Myagkov3, and Stefan Kneifel1 Leonie von Terzi et al.
  • 1Institute of Geophysics and Meteorology, University of Cologne, Cologne, Germany
  • 2Delft University of Technology, Department of Geosciences and Remote Sensing, Delft, Netherlands
  • 3Radiometer Physics GmbH, Meckenheim, Germany

Abstract. The dendritic growth layer (DGL), defined as the temperature region between -20 and -10 °C, plays an important role for ice depositional growth, aggregation, and likely also secondary ice processes. The DGL has been found in the past to exhibit specific observational signatures in polarimetric and vertically pointing radar observations. However, consistent conclusions about their physical interpretation have often not been reached.

In this study, we exploit a unique three months dataset of mid-latitude winter clouds observed with vertically pointing triple-frequency (X-, Ka-, W-Band) and polarimetric W-Band Doppler radars. In addition to standard radar moments, we also analyse the multi-wavelength and polarimetric Doppler spectra. New variables, such as the maximum of the spectral ZDR (sZDRmax), allows us to analyse the ZDR signal of asymmetric ice particles independent of the presence of low-ZDR producing aggregates. This unique dataset enables us to investigate correlations between enhanced aggregation and evolution of small ice particles in the DGL. For this, the multi-frequency observations are used to classify all profiles according to their maximum average aggregate size within the DGL. The strong correlation between aggregate class and KDP confirms the expected link between ice particle concentration and aggregation. Interestingly, no correlation between aggregation class and sZDRmax is visible. This indicates that aggregation is rather independent of the aspect ratio and density of ice crystals. A distinct reduction of mean Doppler velocity in the DGL is found to be strongest for cases with largest aggregate sizes. Analyses of spectral edge velocities suggest that the reduction is the combined result of the formation of new ice particles with low fall velocity and a weak updraft. It appears most likely that this updraft is the result of latent heat released by enhanced depositional growth. Clearly, the strongest correlations of aggregate class with other variables are found inside the DGL. Surprisingly, no correlation between aggregate class and concentration or aspect ratio of particles falling from above into the DGL could be found. Only a weak correlation between the mean particle size falling into the DGL and maximum aggregate size within the DGL is apparent. In addition to the correlation analysis, the dataset also allows to study the evolution of radar variables as a function of temperature. We find the ice particle concentration continuously increasing from -18 °C towards the bottom of the DGL. Aggregation increases more rapidly from -15 °C towards warmer temperatures. Surprisingly, KDP and sZDRmax are not reduced by the intensifying aggregation below -15 °C but rather reach their maximum values in the lower half of the DGL. Also below the DGL, KDP and sZDRmax remain enhanced until -4 °C. Only there, additional aggregation appears to deplete ice crystals and therefore reduce KDP and sZDRmax.

The simultaneous increase of aggregation and particle concentration inside the DGL necessitates a source mechanism for new ice crystals. As primary ice nucleation is expected to decrease towards warmer temperatures, secondary ice processes are a likely explanation for the increase in ice particle concentration. Previous laboratory experiments strongly point towards ice collisional fragmentation as a possible mechanism for new particle generation. The presence of an updraft in the temperature region of maximum depositional growth might also suggest an important positive feedback mechanism between ice microphysics and dynamics which might further enhance ice particle growth in the DGL.

Leonie von Terzi et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-263', Anonymous Referee #1, 06 May 2022
  • RC2: 'Comment on acp-2022-263', Anonymous Referee #2, 17 May 2022

Leonie von Terzi et al.

Leonie von Terzi et al.

Viewed

Total article views: 272 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
190 76 6 272 2 2
  • HTML: 190
  • PDF: 76
  • XML: 6
  • Total: 272
  • BibTeX: 2
  • EndNote: 2
Views and downloads (calculated since 11 Apr 2022)
Cumulative views and downloads (calculated since 11 Apr 2022)

Viewed (geographical distribution)

Total article views: 333 (including HTML, PDF, and XML) Thereof 333 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 26 May 2022
Download
Short summary
We present a statistical analysis of ice microphysical processes (IMP) in mid-latitude clouds. Combining various radar approaches, we find that the IMP active at -20 to -10 °C seem to be the main driver of ice particle size, shape and concentration. The strength of aggregation at -20 to -10 °C correlates with the increase in concentration and aspect ratio of locally formed ice particles. Despite ongoing aggregation, the concentration of ice particles stays enhanced until -4 °C.
Altmetrics