Using snowflake surface-area-to-volume ratio to model and interpret snowfall triple-frequency radar signatures

Gergely, Mathias; Cooper, Steven J.; Garrett, Timothy J.

doi:https://doi.org/10.5194/acp-17-12011-2017

Articles | Volume 17, issue 19

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Articles | Volume 17, issue 19

https://doi.org/10.5194/acp-17-12011-2017

Articles | Volume 17, issue 19

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Research article

10 Oct 2017

Research article |

| 10 Oct 2017

Using snowflake surface-area-to-volume ratio to model and interpret snowfall triple-frequency radar signatures

Mathias Gergely, Steven J. Cooper, and Timothy J. Garrett

Mathias Gergely

CORRESPONDING AUTHOR

mathias.gergely@utah.edu

Department of Atmospheric Sciences, University of Utah, 135 S 1460 E Room 819, Salt Lake City, UT 84112, USA

Steven J. Cooper

Department of Atmospheric Sciences, University of Utah, 135 S 1460 E Room 819, Salt Lake City, UT 84112, USA

Timothy J. Garrett

https://orcid.org/0000-0001-9277-8773

Department of Atmospheric Sciences, University of Utah, 135 S 1460 E Room 819, Salt Lake City, UT 84112, USA

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Germany	3	226	8
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China	2	592	28
Germany	3	186	9
France	4	86	4
Russia	5	63	3

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Germany	2	40	7
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998


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701


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297

Cited

Show all Final revised paper only Preprint only

13 citations as recorded by crossref.

Arctic observations and numerical simulations of surface wind effects on Multi-Angle Snowflake Camera measurements K. Fitch et al. 10.5194/amt-14-1127-2021
Introducing the Video In Situ Snowfall Sensor (VISSS) M. Maahn et al. 10.5194/amt-17-899-2024
Quantifying riming from airborne data during the HALO-(AC)3campaign N. Maherndl et al. 10.5194/amt-17-1475-2024
Sensitivity of snowfall radar reflectivity to maximum snowflake size and implications for snowfall retrievals M. Gergely 10.1016/j.jqsrt.2019.106605
Comprehensive thematic T-matrix reference database: a 2017–2019 update M. Mishchenko 10.1016/j.jqsrt.2019.106692
Exploring the Environmental Conditions of Snow Particles Using Spaceborne Triple-Frequency Radar Measurements over Ocean M. Yin & C. Yuan 10.3390/rs14215512
Doppler spectra from DWD's operational C-band radar birdbath scan: sampling strategy, spectral postprocessing, and multimodal analysis for the retrieval of precipitation processes M. Gergely et al. 10.5194/amt-15-7315-2022
Shapes and Fall Orientations of Ice Particle Aggregates Z. Jiang et al. 10.1175/JAS-D-18-0251.1
Retrieval of snowflake microphysical properties from multifrequency radar observations J. Leinonen et al. 10.5194/amt-11-5471-2018
Radar measurements of blowing snow off a mountain ridge B. Walter et al. 10.5194/tc-14-1779-2020
The TRIple-frequency and Polarimetric radar Experiment for improving process observations of winter precipitation J. Dias Neto et al. 10.5194/essd-11-845-2019
Comprehensive thematic T-matrix reference database: A 2015–2017 update M. Mishchenko et al. 10.1016/j.jqsrt.2017.08.007
Comprehensive thematic T -matrix reference database: A 2015–2017 update M. Mishchenko et al. 10.1016/j.jqsrt.2017.08.007

12 citations as recorded by crossref.

Arctic observations and numerical simulations of surface wind effects on Multi-Angle Snowflake Camera measurements K. Fitch et al. 10.5194/amt-14-1127-2021
Introducing the Video In Situ Snowfall Sensor (VISSS) M. Maahn et al. 10.5194/amt-17-899-2024
Quantifying riming from airborne data during the HALO-(AC)3campaign N. Maherndl et al. 10.5194/amt-17-1475-2024
Sensitivity of snowfall radar reflectivity to maximum snowflake size and implications for snowfall retrievals M. Gergely 10.1016/j.jqsrt.2019.106605
Comprehensive thematic T-matrix reference database: a 2017–2019 update M. Mishchenko 10.1016/j.jqsrt.2019.106692
Exploring the Environmental Conditions of Snow Particles Using Spaceborne Triple-Frequency Radar Measurements over Ocean M. Yin & C. Yuan 10.3390/rs14215512
Doppler spectra from DWD's operational C-band radar birdbath scan: sampling strategy, spectral postprocessing, and multimodal analysis for the retrieval of precipitation processes M. Gergely et al. 10.5194/amt-15-7315-2022
Shapes and Fall Orientations of Ice Particle Aggregates Z. Jiang et al. 10.1175/JAS-D-18-0251.1
Retrieval of snowflake microphysical properties from multifrequency radar observations J. Leinonen et al. 10.5194/amt-11-5471-2018
Radar measurements of blowing snow off a mountain ridge B. Walter et al. 10.5194/tc-14-1779-2020
The TRIple-frequency and Polarimetric radar Experiment for improving process observations of winter precipitation J. Dias Neto et al. 10.5194/essd-11-845-2019
Comprehensive thematic T-matrix reference database: A 2015–2017 update M. Mishchenko et al. 10.1016/j.jqsrt.2017.08.007

1 citations as recorded by crossref.

Comprehensive thematic T -matrix reference database: A 2015–2017 update M. Mishchenko et al. 10.1016/j.jqsrt.2017.08.007

Latest update: 02 Apr 2025

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Short summary

This study investigates the importance of snowflake surface-area-to-volume ratio (SAV) for the interpretation of snowfall triple-frequency radar signatures. The results indicate that snowflake SAV has a strong impact on modeled snowfall radar signatures and therefore may be used to further constrain (the large variety and high natural variability of) snowflake shape for snowfall remote sensing, e.g., to distinguish graupel snow from snowfall characterized by large aggregate snowflakes.

This study investigates the importance of snowflake surface-area-to-volume ratio (SAV) for the...

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