Radar backscattering from snowflakes: Comparison of fractal, aggregate, and soft spheroid models

Jani Tyynela*, Jussi Leinonen, Dmitri Moisseev, Timo Nousiainen

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

69 Citations (Scopus)

Abstract

The sensitivity of radar backscattering cross sections on different snowflake shapes is studied at C, Ku, Ka, andWbands. Snowflakes are simulated using two complex shape models, namely, fractal and aggregate, and a soft spheroid model. The models are tuned to emulate physical properties of real snowflakes, that is, the mass-size relation and aspect ratio. It is found that for particle sizes up to 5 mm and for frequencies from 5 to 35 GHz, there is a good agreement in the backscattering cross section for all models. For larger snowflakes at the Ka band, it is found that the spheroid model underestimates the backscattering cross sections by a factor of 10, and atWband by a factor of 50-100. Furthermore, there is a noticeable difference between spheroid and complex shape models in the linear depolarization ratios for all frequencies and particle sizes.

Original languageEnglish
Pages (from-to)1365-1372
Number of pages8
JournalJournal of Atmospheric and Oceanic Technology
Volume28
Issue number11
DOIs
Publication statusPublished - Nov 2011
MoE publication typeA1 Journal article-refereed

Keywords

  • Cloud microphysics
  • Ice particles
  • Model comparison
  • Snowfall

Fingerprint Dive into the research topics of 'Radar backscattering from snowflakes: Comparison of fractal, aggregate, and soft spheroid models'. Together they form a unique fingerprint.

Cite this