Settling and Rotation of Frozen Hydrometeors in Turbulent Air

Abstract Numerical model predictions of precipitation rates rely heavily on representations of how fast hydrometeors fall, assuming settling is determined only by the opposing force balance of gravity and drag. Here, we use a novel suite of ground‐based winter measurements to show large departures of the mean snowflake settling speed from the terminal fall speed of a particle falling broadside. Where is lower than the air root‐mean‐square turbulent velocity fluctuation , settling is sub‐terminal by up to a factor of five, and if it is higher, then settling is super‐terminal by up to a factor of three. Mean winds and aerodynamic lift appear to play an unexpectedly important role, by tilting snowflake orientations edge‐on while slowing their mean rate of descent. New parameterizations are provided for relating winds and small‐scale turbulence to hydrometeor orientations, drift angles, and precipitation rate reductions and enhancements.

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Publication Details

Journal
Geophysical Research Letters
Published
2025-06-17
DOI
https://doi.org/10.1029/2025gl114780
Citations
2
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
2.60

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article

Settling and Rotation of Frozen Hydrometeors in Turbulent Air

Timothy J. Garrett, Eric R. Pardyjak, Dhiraj K. Singh
2 citations
Geophysical Research Letters
Meteorological Phenomena and Simulations
2.60
article

Settling and Rotation of Frozen Hydrometeors in Turbulent Air

Timothy J. Garrett, Eric R. Pardyjak, Dhiraj K. Singh
article en
2 citations

Abstract

Abstract Numerical model predictions of precipitation rates rely heavily on representations of how fast hydrometeors fall, assuming settling is determined only by the opposing force balance of gravity and drag. Here, we use a novel suite of ground‐based winter measurements to show large departures of the mean snowflake settling speed from the terminal fall speed of a particle falling broadside. Where is lower than the air root‐mean‐square turbulent velocity fluctuation , settling is sub‐terminal by up to a factor of five, and if it is higher, then settling is super‐terminal by up to a factor of three. Mean winds and aerodynamic lift appear to play an unexpectedly important role, by tilting snowflake orientations edge‐on while slowing their mean rate of descent. New parameterizations are provided for relating winds and small‐scale turbulence to hydrometeor orientations, drift angles, and precipitation rate reductions and enhancements.

Geophysical Research LettersVol. 52(12)
University of Utah (US)
National Science Foundation
Openalex Percentile: Top 11%
Meteorological Phenomena and Simulations
2.60
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