Articles | Volume 11, issue 5
Atmos. Meas. Tech., 11, 3059–3079, 2018
https://doi.org/10.5194/amt-11-3059-2018
Atmos. Meas. Tech., 11, 3059–3079, 2018
https://doi.org/10.5194/amt-11-3059-2018

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 et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Marta Tecla Falconi on behalf of the Authors (19 Apr 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (20 Apr 2018) by Gianfranco Vulpiani
RR by Anonymous Referee #2 (27 Apr 2018)
RR by Anonymous Referee #3 (30 Apr 2018)
ED: Publish as is (01 May 2018) by Gianfranco Vulpiani
AR by Marta Tecla Falconi on behalf of the Authors (07 May 2018)  Author's response    Manuscript
Download
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).