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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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AMT | Articles | Volume 12, issue 9
Atmos. Meas. Tech., 12, 4993–5018, 2019
https://doi.org/10.5194/amt-12-4993-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 12, 4993–5018, 2019
https://doi.org/10.5194/amt-12-4993-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 17 Sep 2019

Research article | 17 Sep 2019

The importance of particle size distribution and internal structure for triple-frequency radar retrievals of the morphology of snow

Shannon L. Mason et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Shannon Mason on behalf of the Authors (05 Aug 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (06 Aug 2019) by Gianfranco Vulpiani
RR by Anonymous Referee #2 (19 Aug 2019)
ED: Publish subject to technical corrections (19 Aug 2019) by Gianfranco Vulpiani
Publications Copernicus
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Short summary
The mass contents of snowflakes are critical to remotely sensed estimates of snowfall. The signatures of snow measured at three radar frequencies can distinguish fluffy, fractal snowflakes from dense and more homogeneous rimed snow. However, we show that the shape of the particle size spectrum also has a significant impact on triple-frequency radar signatures and must be accounted for when making triple-frequency radar estimates of snow that include variations in particle structure and density.
The mass contents of snowflakes are critical to remotely sensed estimates of snowfall. The...
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