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.
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.
the Creative Commons Attribution 4.0 License.
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
CORRESPONDING AUTHOR
Department of Information Engineering, Sapienza University of Rome, Italy and CETEMPS, L'Aquila, Italy
Annakaisa Lerber
Space and Earth Observation Center, Finnish Meteorological Institute, Helsinki, Finland
Davide Ori
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Frank Silvio Marzano
Department of Information Engineering, Sapienza University of Rome, Italy and CETEMPS, L'Aquila, Italy
Dmitri Moisseev
Space and Earth Observation Center, Finnish Meteorological Institute, Helsinki, Finland
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
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19 citations as recorded by crossref.
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- Evaluation of ice particle growth in ICON using statistics of multi‐frequency Doppler cloud radar observations D. Ori et al. 10.1002/qj.3875
- Triple‐Frequency Doppler Retrieval of Characteristic Raindrop Size K. Mróz et al. 10.1029/2019EA000789
- The Earth Model Column Collaboratory (EMC<sup>2</sup>) v1.1: an open-source ground-based lidar and radar instrument simulator and subcolumn generator for large-scale models I. Silber et al. 10.5194/gmd-15-901-2022
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- Retrieval of Snow Water Equivalent by the Precipitation Imaging Package (PIP) in the Northern Great Lakes 10.1175/JTECH-D-20-0216.1
- Impact of Mass–Size Parameterizations of Frozen Hydrometeors on Microphysical Retrievals: Evaluation by Matching Radar to In Situ Observations from GCPEx and OLYMPEx O. Sy et al. 10.1175/JTECH-D-19-0104.1
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- Weather Radar Data Processing and Atmospheric Applications: An Overview of Tools for Monitoring Clouds and Detecting Wind Shear M. Falconi & F. Marzano 10.1109/MSP.2019.2890934
- Supercooled liquid water and secondary ice production in Kelvin–Helmholtz instability as revealed by radar Doppler spectra observations H. Li et al. 10.5194/acp-21-13593-2021
- Validation of Microphysical Snow Models Using In Situ, Multifrequency, and Dual‐Polarization Radar Measurements in Finland J. Tyynelä & A. Lerber 10.1029/2019JD030721
- Retrieval of snow precipitation rate from polarimetric X-band radar measurements in Southern Italy Apennine mountains V. Capozzi et al. 10.1016/j.atmosres.2019.104796
- Comprehensive thematic T-matrix reference database: a 2017–2019 update M. Mishchenko 10.1016/j.jqsrt.2019.106692
- Towards the connection between snow microphysics and melting layer: insights from multifrequency and dual-polarization radar observations during BAECC H. Li et al. 10.5194/acp-20-9547-2020
- Quantitative Precipitation Estimation over Antarctica Using Different Ze-SR Relationships Based on Snowfall Classification Combining Ground Observations A. Bracci et al. 10.3390/rs14010082
- The Precipitation Imaging Package: Assessment of Microphysical and Bulk Characteristics of Snow C. Pettersen et al. 10.3390/atmos11080785
1 citations as recorded by crossref.
Latest update: 20 Mar 2023
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).
Estimating snowfall intensity from satellite and ground-based radar missions requires accurate...
