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
| 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 von 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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- 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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- High temporal resolution estimates of Arctic snowfall rates emphasizing gauge and radar-based retrievals from the MOSAiC expedition S. Matrosov et al. 10.1525/elementa.2021.00101
- Influence of biogenic emissions from boreal forests on aerosol–cloud interactions T. Petäjä et al. 10.1038/s41561-021-00876-0
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- Validation of Microphysical Snow Models Using In Situ, Multifrequency, and Dual‐Polarization Radar Measurements in Finland J. Tyynelä & A. von 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
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- Solid Precipitation and Visibility Measurements at the Centre for Atmospheric Research Experiments in Southern Ontario and Bratt’s Lake in Southern Saskatchewan F. Boudala & J. Milbrandt 10.3390/rs15164079
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- Arctic Cloud‐Base Ice Precipitation Properties Retrieved Using Bayesian Inference I. Silber 10.1029/2022JD038202
- Dual-wavelength radar technique development for snow rate estimation: a case study from GCPEx G. Huang et al. 10.5194/amt-12-1409-2019
- Melting Layer Attenuation at Ka‐ and W‐Bands as Derived From Multifrequency Radar Doppler Spectra Observations H. Li & D. Moisseev 10.1029/2019JD030316
- 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
- W-band S–Z relationships for rimed snow particles: observational evidence from combined airborne and ground-based observations S. Fuller et al. 10.5194/amt-16-6123-2023
- Correction for the Attenuation Due to Atmospheric Gas and Stratiform Clouds in Triple-Frequency Radar Observations of the Microphysical Properties of Snowfall Y. Chang et al. 10.3390/rs15194843
1 citations as recorded by crossref.
Latest update: 24 Apr 2024
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...
