Preprints
https://doi.org/10.5194/egusphere-2023-947
https://doi.org/10.5194/egusphere-2023-947
15 May 2023
 | 15 May 2023

Statistical Analysis on the Estimations of Solid Hydrometeors Growth Zones and Their Weather Conditions Using Radar Spectrum Width

Sung-Ho Suh, Woonseon Jung, Hong-Il Kim, Eun-Ho Choi, and Jung-Hoon Kim

Abstract. This study analyzes the correlation between hydrometeor type and radar spectrum width (σv) according to wind speed that can occur the atmospheric disturbances such as turbulence and wind shear. The σv zones shown as peak values were identified only in stratiform precipitation and they are highly related to the hydrometeor growth zones. Statistical analysis was performed for eight precipitation cases under various conditions (precipitation type, season), focusing on the Dendrite Growth Zone (DGZ) and the Needle Growth Zone (NGZ), where Dendrite (DN) and Needle (NE) type snowflakes are dominant, respectively. They were determined by the Growth Zone Determination Algorithm (GZDA) that was proposed in this study.

The intensity of the σv depends on atmospheric conditions (i.e., wind speed) and season (i.e., temperature). The high σv and negative relationship with the differential radar reflectivity (ZDR) in the DGZ for all cases is consistent with the aerodynamic properties of DN. As the range of σv was larger than that of ZDR, it was confirmed that the dependence of σv according to atmospheric conditions is significant. Contrastingly, the NGZ had a low σv and weak σv-ZDR negative relationship with a narrow range of σv, which is consistent with the aerodynamic properties of NE. The lower cross-correlation coefficient (ρhv) in the DGZ than that in the NGZ implies that the irregularities (particle shape and aerodynamics features) of DN were more pronounced than those of NE.

Finally, as the altitudes of two growth zones were determined by temperature, the possibility of estimating sub-zero temperature by GZDA was confirmed.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Sung-Ho Suh, Woonseon Jung, Hong-Il Kim, Eun-Ho Choi, and Jung-Hoon Kim

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-947', Anonymous Referee #1, 17 Jun 2023
    • AC1: 'Reply on RC1', Sung-Ho Suh, 21 Sep 2023
      • AC3: 'Reply on AC1', Sung-Ho Suh, 22 Sep 2023
  • RC2: 'Comment on egusphere-2023-947', Andrew Heymsfield, 05 Sep 2023
    • AC2: 'Reply on RC2', Sung-Ho Suh, 21 Sep 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-947', Anonymous Referee #1, 17 Jun 2023
    • AC1: 'Reply on RC1', Sung-Ho Suh, 21 Sep 2023
      • AC3: 'Reply on AC1', Sung-Ho Suh, 22 Sep 2023
  • RC2: 'Comment on egusphere-2023-947', Andrew Heymsfield, 05 Sep 2023
    • AC2: 'Reply on RC2', Sung-Ho Suh, 21 Sep 2023
Sung-Ho Suh, Woonseon Jung, Hong-Il Kim, Eun-Ho Choi, and Jung-Hoon Kim
Sung-Ho Suh, Woonseon Jung, Hong-Il Kim, Eun-Ho Choi, and Jung-Hoon Kim

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Short summary
This study performed the Statistical analysis of the correlation between solid hydrometeor and radar spectrum width according to wind speed that can occur the atmospheric disturbances such as turbulence and wind shear. These features were clearly shown in the Growth Zones where dendrite and needle-like snowflakes are dominant, respectively. This study will help in the field of i) aviation safety, ii) hydrometeor classification, and iii) knowledge about the mechanism of lightning.