Fragmentation in Collisions of Snow with Graupel/Hail: New Formulation from Field Observations

Martanda Gautam, Deepak Waman, Sachin Patade, Akash Deshmukh, Vaughan Phillips, Marcin Jackowicz-Korczynski, Freddy Pazhambilly Paul, Paul Smith, Aaron Bansemer

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Secondary ice production (SIP) has been attributed to the generation of most ice particles observed in precipitating clouds with cloud tops warmer than 2368C, from various aircraft- and ground-based field observations across the globe. One of the known SIP mechanisms is fragmentation during collisions among ice particles. It has been studied with our theoretical formulation, which has been applied in microphysical schemes of atmospheric models in a few studies. These have predicted an extensive impact on cloud glaciation and radiative properties. However, there has been a lack of experimental field studies, especially involving naturally falling snowflakes, to better understand this particular mechanism of SIP. This study reports the first field measurements with modern technology for fragmentation during collisions between naturally falling snowflakes and graupel/hail particles. This was observed with an innovatively designed portable chamber that was deployed outdoors in northern Sweden. Applying the observations from this field-based study, we optimized the existing formulation for predicting numbers of fragments from collisions of snow with graupel/hail. The observations show the average numbers of fragments per collision for dendritic (3–12 mm) and nondendritic (1–3 mm) snow were about 12 and 1, respectively. This represents a boost of predicted fragment numbers relative to our original formulation published in 2017. The updated formulation for breakup in ice–ice collisions can be implemented in the microphysical schemes of atmospheric models.

Original languageEnglish
Pages (from-to)2149-2164
Number of pages16
JournalJournal of the Atmospheric Sciences
Volume81
Issue number12
DOIs
StatePublished - Dec 2024

Keywords

  • Cloud microphysics
  • Cloud parameterizations
  • In situ atmospheric observations
  • Measurements
  • Optimization
  • Secondary ice production

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