Articles | Volume 10, issue 7
https://doi.org/10.5194/amt-10-2557-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-2557-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
20 Jul 2017
Research article |
| 20 Jul 2017
A variational technique to estimate snowfall rate from coincident radar, snowflake, and fall-speed observations
Steven J. Cooper
CORRESPONDING AUTHOR
Department of Atmospheric Sciences, University of Utah, Salt Lake
City, UT, USA
Norman B. Wood
Cooperative Institute for Meteorological Satellite Studies, University
of Wisconsin–Madison, Madison, WI, USA
Tristan S. L'Ecuyer
Department of Atmospheric and Oceanic Sciences, University of
Wisconsin–Madison, Madison, WI, USA
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Cited
16 citations as recorded by crossref.
- Snowfall Model Validation Using Surface Observations and an Optimal Estimation Snowfall Retrieval F. Hellmuth et al. 10.1175/WAF-D-20-0220.1
- CloudSat snowfall estimates over Antarctica and the Southern Ocean: An assessment of independent retrieval methodologies and multi-year snowfall analysis L. Milani et al. 10.1016/j.atmosres.2018.05.015
- Mass of different snow crystal shapes derived from fall speed measurements S. Vázquez-Martín et al. 10.5194/acp-21-18669-2021
- Using snowflake surface-area-to-volume ratio to model and interpret snowfall triple-frequency radar signatures M. Gergely et al. 10.5194/acp-17-12011-2017
- A Multiyear Analysis of Global Precipitation Combining CloudSat and GPM Precipitation Retrievals L. Hayden & C. Liu 10.1175/JHM-D-18-0053.1
- A Versatile Method for Ice Particle Habit Classification Using Airborne Imaging Probe Data C. Praz et al. 10.1029/2018JD029163
- Estimation of Snowfall Properties at a Mountainous Site in Norway Using Combined Radar and In Situ Microphysical Observations C. Schirle et al. 10.1175/JAMC-D-18-0281.1
- Characteristics of Snow Particle Size Distribution in the PyeongChang Region of South Korea T. Yu et al. 10.3390/atmos11101093
- Sensitivity of snowfall radar reflectivity to maximum snowflake size and implications for snowfall retrievals M. Gergely 10.1016/j.jqsrt.2019.106605
- Arctic observations and numerical simulations of surface wind effects on Multi-Angle Snowflake Camera measurements K. Fitch et al. 10.5194/amt-14-1127-2021
- Introducing the Video In Situ Snowfall Sensor (VISSS) M. Maahn et al. 10.5194/amt-17-899-2024
- Spatial variability in snow precipitation and accumulation in COSMO–WRF simulations and radar estimations over complex terrain F. Gerber et al. 10.5194/tc-12-3137-2018
- Observation and Numerical Simulation of Cold Clouds and Snow Particles in the Yeongdong Region Y. Kim et al. 10.1007/s13143-018-0055-6
- Sensitivity of Snowfall Characteristics to Meteorological Conditions in the Yeongdong Region of Korea Y. Kim et al. 10.1007/s00376-020-0157-9
- Distributed Hydrological Modeling Framework for Quantitative and Spatial Bias Correction for Rainfall, Snowfall, and Mixed‐Phase Precipitation Using Vertical Profile of Temperature A. Naseer et al. 10.1029/2018JD029811
- Evaluation of Synoptic Snowfall on the Antarctic Ice Sheet Based on CloudSat, In-Situ Observations and Atmospheric Reanalysis Datasets Y. Liu et al. 10.3390/rs11141686
16 citations as recorded by crossref.
- Snowfall Model Validation Using Surface Observations and an Optimal Estimation Snowfall Retrieval F. Hellmuth et al. 10.1175/WAF-D-20-0220.1
- CloudSat snowfall estimates over Antarctica and the Southern Ocean: An assessment of independent retrieval methodologies and multi-year snowfall analysis L. Milani et al. 10.1016/j.atmosres.2018.05.015
- Mass of different snow crystal shapes derived from fall speed measurements S. Vázquez-Martín et al. 10.5194/acp-21-18669-2021
- Using snowflake surface-area-to-volume ratio to model and interpret snowfall triple-frequency radar signatures M. Gergely et al. 10.5194/acp-17-12011-2017
- A Multiyear Analysis of Global Precipitation Combining CloudSat and GPM Precipitation Retrievals L. Hayden & C. Liu 10.1175/JHM-D-18-0053.1
- A Versatile Method for Ice Particle Habit Classification Using Airborne Imaging Probe Data C. Praz et al. 10.1029/2018JD029163
- Estimation of Snowfall Properties at a Mountainous Site in Norway Using Combined Radar and In Situ Microphysical Observations C. Schirle et al. 10.1175/JAMC-D-18-0281.1
- Characteristics of Snow Particle Size Distribution in the PyeongChang Region of South Korea T. Yu et al. 10.3390/atmos11101093
- Sensitivity of snowfall radar reflectivity to maximum snowflake size and implications for snowfall retrievals M. Gergely 10.1016/j.jqsrt.2019.106605
- Arctic observations and numerical simulations of surface wind effects on Multi-Angle Snowflake Camera measurements K. Fitch et al. 10.5194/amt-14-1127-2021
- Introducing the Video In Situ Snowfall Sensor (VISSS) M. Maahn et al. 10.5194/amt-17-899-2024
- Spatial variability in snow precipitation and accumulation in COSMO–WRF simulations and radar estimations over complex terrain F. Gerber et al. 10.5194/tc-12-3137-2018
- Observation and Numerical Simulation of Cold Clouds and Snow Particles in the Yeongdong Region Y. Kim et al. 10.1007/s13143-018-0055-6
- Sensitivity of Snowfall Characteristics to Meteorological Conditions in the Yeongdong Region of Korea Y. Kim et al. 10.1007/s00376-020-0157-9
- Distributed Hydrological Modeling Framework for Quantitative and Spatial Bias Correction for Rainfall, Snowfall, and Mixed‐Phase Precipitation Using Vertical Profile of Temperature A. Naseer et al. 10.1029/2018JD029811
- Evaluation of Synoptic Snowfall on the Antarctic Ice Sheet Based on CloudSat, In-Situ Observations and Atmospheric Reanalysis Datasets Y. Liu et al. 10.3390/rs11141686
Latest update: 29 Jun 2024
Short summary
Estimates of snowfall rate as derived from radar observations can suffer large uncertainties due to great natural variability in snowflake microphysical properties. We used in situ observations of particle size, shape, and fall speed to refine radar-based estimates of snowfall for five snow events at the ARM Barrow Climate Research Facility. Estimated snowfall amounts agreed well with nearby snow gauge observations and demonstrated significant sensitivity to both particle shape and fall speed.
Estimates of snowfall rate as derived from radar observations can suffer large uncertainties due...
