Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 11, issue 5
Articles | Volume 11, issue 5
https://doi.org/10.5194/amt-11-3059-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-3059-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 5
Research article
 | 
30 May 2018
Research article |  | 30 May 2018

Snowfall retrieval at X, Ka and W bands: consistency of backscattering and microphysical properties using BAECC ground-based measurements

Marta Tecla Falconi, Annakaisa von Lerber, Davide Ori, Frank Silvio Marzano, and Dmitri Moisseev

Data sets

KAZR Corrected Data (KAZRCORGE) Atmospheric Radiation Measurement (ARM) Climate Research Facility https://doi.org/10.5439/1350632

MWR Retrievals (MWRRET1LILJCLOU) Atmospheric Radiation Measurement (ARM) Climate Research Facility https://doi.org/10.5439/1027369

MWACR Ship Motion Correction (MWACRSHIPCOR) Atmospheric Radiation Measurement (ARM) Climate Research Facility https://doi.org/10.5439/1350621

Ka-Band Scanning ARM Cloud Radar (KASACRCRRASTER) Atmospheric Radiation Measurement (ARM) Climate Research Facility https://doi.org/10.5439/1095596

X-Band Scanning ARM Cloud Radar (XSACRRHI) Atmospheric Radiation Measurement (ARM) Climate Research Facility https://doi.org/10.5439/1150299

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Short summary
Estimating snowfall intensity from satellite and ground-based radar missions requires accurate retrieval models. Reflectivity–snowfall relations are obtained at cm and mm wavelengths using data recorded during the Biogenic Aerosols Effects on Clouds and Climate (BAECC) campaign in Finland. Lightly, moderately and heavily rimed snow cases are identified. Numerical simulations are performed to relate snowflake microphysical (video disdrometer) and multifrequency backscattering properties (radars).
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