Articles | Volume 6, issue 12
https://doi.org/10.5194/amt-6-3635-2013
© Author(s) 2013. 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-6-3635-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
20 Dec 2013
Research article |
| 20 Dec 2013
Characterization of video disdrometer uncertainties and impacts on estimates of snowfall rate and radar reflectivity
N. B. Wood
Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin – Madison, Madison, Wisconsin, USA
T. S. L'Ecuyer
Department of Atmospheric and Oceanic Sciences, University of Wisconsin – Madison, Madison, Wisconsin, USA
F. L. Bliven
Earth Sciences Division, NASA Goddard Spaceflight Center, Wallops Island, Virginia, USA
G. L. Stephens
Center for Climate Sciences, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
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Cited
43 citations as recorded by crossref.
- Exploring Deep Neural Networks to Retrieve Rain and Snow in High Latitudes Using Multisensor and Reanalysis Data G. Tang et al. https://doi.org/10.1029/2018WR023830
- Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset F. Turk et al. https://doi.org/10.3390/rs13122264
- Using CloudSat‐CPR Retrievals to Estimate Snow Accumulation in the Canadian Arctic F. King & C. Fletcher https://doi.org/10.1029/2019EA000776
- Microphysical Constraints on Millimeter-Wavelength Scattering Properties of Snow Particles N. Wood et al. https://doi.org/10.1175/JAMC-D-14-0137.1
- Status of high‐latitude precipitation estimates from observations and reanalyses A. Behrangi et al. https://doi.org/10.1002/2015JD024546
- Validation of Microphysical Snow Models Using In Situ, Multifrequency, and Dual‐Polarization Radar Measurements in Finland J. Tyynelä & A. von Lerber https://doi.org/10.1029/2019JD030721
- Similarities and differences between three coexisting spaceborne radars in global rainfall and snowfall estimation G. Tang et al. https://doi.org/10.1002/2016WR019961
- What millimeter-wavelength radar reflectivity reveals about snowfall: an information-centric analysis N. Wood & T. L'Ecuyer https://doi.org/10.5194/amt-14-869-2021
- Three-Dimensional Shape and Fall Velocity Measurements of Snowflakes Using a Multiangle Snowflake Imager H. Minda et al. https://doi.org/10.1175/JTECH-D-16-0221.1
- How dual‐polarization radar observations can be used to verify model representation of secondary ice V. Sinclair et al. https://doi.org/10.1002/2016JD025381
- On the effects of cloud water content on passive microwave snowfall retrievals S. Vahedizade et al. https://doi.org/10.1016/j.rse.2022.113187
- Estimating the snow density using collocated Parsivel and Micro-Rain Radar measurements: a preliminary study from ICE-POP 2017/2018 W. Chang et al. https://doi.org/10.5194/acp-24-11955-2024
- A Multiyear Analysis of Global Precipitation Combining CloudSat and GPM Precipitation Retrievals L. Hayden & C. Liu https://doi.org/10.1175/JHM-D-18-0053.1
- Retrieval of Snow Water Equivalent by the Precipitation Imaging Package (PIP) in the Northern Great Lakes A. Tokay et al. https://doi.org/10.1175/JTECH-D-20-0216.1
- Use of 2D-video disdrometer to derive mean density–size and Ze–SR relations: Four snow cases from the light precipitation validation experiment G. Huang et al. https://doi.org/10.1016/j.atmosres.2014.07.013
- Research on microphysical property of snowfall based on particle imaging velocimetry technology . Liu Xi-Chuan et al. https://doi.org/10.7498/aps.63.199201
- Relating snowfall observations to Greenland ice sheet mass changes: an atmospheric circulation perspective M. Gallagher et al. https://doi.org/10.5194/tc-16-435-2022
- Ensemble mean density and its connection to other microphysical properties of falling snow as observed in Southern Finland J. Tiira et al. https://doi.org/10.5194/amt-9-4825-2016
- Quantifying the effect of riming on snowfall using ground‐based observations D. Moisseev et al. https://doi.org/10.1002/2016JD026272
- Evaluation of the CloudSat surface snowfall product over Antarctica using ground-based precipitation radars N. Souverijns et al. https://doi.org/10.5194/tc-12-3775-2018
- Simulation and sensitivity analysis for cloud and precipitation measurements via spaceborne millimeter-wave radar L. Kou et al. https://doi.org/10.5194/amt-16-1723-2023
- Evaluating the realism of double moment parameterised particle size distributions in a midlatitude frontal ice cloud with complex microphysics R. Mammatt et al. https://doi.org/10.1002/qj.70172
- Evaluation of the GPM-DPR snowfall detection capability: Comparison with CloudSat-CPR D. Casella et al. https://doi.org/10.1016/j.atmosres.2017.06.018
- Evaluation of Seasonal and Synoptic Changes in Snow Accumulation in Antarctica between Five Reanalyses Products and In Situ Observations Y. Liu et al. https://doi.org/10.3390/atmos9120473
- An Incremental Learning Framework Linking Reanalysis and Radar Data for Passive Microwave Precipitation Retrievals B. Subedi et al. https://doi.org/10.1109/TGRS.2026.3713037
- On the Impacts of Different Definitions of Maximum Dimension for Nonspherical Particles Recorded by 2D Imaging Probes W. Wu & G. McFarquhar https://doi.org/10.1175/JTECH-D-15-0177.1
- Decoding global precipitation processes and particle evolution using unsupervised learning F. King et al. https://doi.org/10.1126/sciadv.adu0162
- Estimating radar reflectivity - Snowfall rate relationships and their uncertainties over Antarctica by combining disdrometer and radar observations N. Souverijns et al. https://doi.org/10.1016/j.atmosres.2017.06.001
- CloudSat-Based Assessment of GPM Microwave Imager Snowfall Observation Capabilities G. Panegrossi et al. https://doi.org/10.3390/rs9121263
- Validation of GMI Snowfall Observations by Using a Combination of Weather Radar and Surface Measurements A. von Lerber et al. https://doi.org/10.1175/JAMC-D-17-0176.1
- Characteristics of Snow Particle Size Distribution in the PyeongChang Region of South Korea T. Yu et al. https://doi.org/10.3390/atmos11101093
- Investigating the impact of reanalysis snow input on an observationally calibrated snow-on-sea-ice reconstruction A. Cabaj et al. https://doi.org/10.5194/tc-19-3033-2025
- The Precipitation Imaging Package: Assessment of Microphysical and Bulk Characteristics of Snow C. Pettersen et al. https://doi.org/10.3390/atmos11080785
- A comparative evaluation of snowflake particle shape estimation techniques used by the Precipitation Imaging Package (PIP), Multi-Angle Snowflake Camera (MASC), and Two-Dimensional Video Disdrometer (2DVD) C. Helms et al. https://doi.org/10.5194/amt-15-6545-2022
- Microphysical Properties of Snow and Their Link to Ze–S Relations during BAECC 2014 A. von Lerber et al. https://doi.org/10.1175/JAMC-D-16-0379.1
- Metric Learning for Approximation of Microwave Channel Error Covariance: Application for Satellite Retrieval of Drizzle and Light Snowfall A. Ebtehaj et al. https://doi.org/10.1109/TGRS.2019.2941682
- Competition Between Radiative and Seeding Effects of Overlying Clouds on Underlying Marine Stratocumulus B. Jian et al. https://doi.org/10.1029/2022GL100729
- The State of Precipitation Measurements at Mid-to-High Latitudes L. Milani & C. Kidd https://doi.org/10.3390/atmos14111677
- DeepPrecip: a deep neural network for precipitation retrievals F. King et al. https://doi.org/10.5194/amt-15-6035-2022
- Introducing the Video In Situ Snowfall Sensor (VISSS) M. Maahn et al. https://doi.org/10.5194/amt-17-899-2024
- Ice Crystal Sizes in High Ice Water Content Clouds. Part I: On the Computation of Median Mass Diameter from In Situ Measurements D. Leroy et al. https://doi.org/10.1175/JTECH-D-15-0151.1
- Processing of Ice Cloud In Situ Data Collected by Bulk Water, Scattering, and Imaging Probes: Fundamentals, Uncertainties, and Efforts toward Consistency G. McFarquhar et al. https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0007.1
- Passive Microwave Signatures and Retrieval of High-Latitude Snowfall Over Open Oceans and Sea Ice: Insights From Coincidences of GPM and CloudSat Satellites S. Vahedizade et al. https://doi.org/10.1109/TGRS.2021.3071709
43 citations as recorded by crossref.
- Exploring Deep Neural Networks to Retrieve Rain and Snow in High Latitudes Using Multisensor and Reanalysis Data G. Tang et al. https://doi.org/10.1029/2018WR023830
- Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset F. Turk et al. https://doi.org/10.3390/rs13122264
- Using CloudSat‐CPR Retrievals to Estimate Snow Accumulation in the Canadian Arctic F. King & C. Fletcher https://doi.org/10.1029/2019EA000776
- Microphysical Constraints on Millimeter-Wavelength Scattering Properties of Snow Particles N. Wood et al. https://doi.org/10.1175/JAMC-D-14-0137.1
- Status of high‐latitude precipitation estimates from observations and reanalyses A. Behrangi et al. https://doi.org/10.1002/2015JD024546
- Validation of Microphysical Snow Models Using In Situ, Multifrequency, and Dual‐Polarization Radar Measurements in Finland J. Tyynelä & A. von Lerber https://doi.org/10.1029/2019JD030721
- Similarities and differences between three coexisting spaceborne radars in global rainfall and snowfall estimation G. Tang et al. https://doi.org/10.1002/2016WR019961
- What millimeter-wavelength radar reflectivity reveals about snowfall: an information-centric analysis N. Wood & T. L'Ecuyer https://doi.org/10.5194/amt-14-869-2021
- Three-Dimensional Shape and Fall Velocity Measurements of Snowflakes Using a Multiangle Snowflake Imager H. Minda et al. https://doi.org/10.1175/JTECH-D-16-0221.1
- How dual‐polarization radar observations can be used to verify model representation of secondary ice V. Sinclair et al. https://doi.org/10.1002/2016JD025381
- On the effects of cloud water content on passive microwave snowfall retrievals S. Vahedizade et al. https://doi.org/10.1016/j.rse.2022.113187
- Estimating the snow density using collocated Parsivel and Micro-Rain Radar measurements: a preliminary study from ICE-POP 2017/2018 W. Chang et al. https://doi.org/10.5194/acp-24-11955-2024
- A Multiyear Analysis of Global Precipitation Combining CloudSat and GPM Precipitation Retrievals L. Hayden & C. Liu https://doi.org/10.1175/JHM-D-18-0053.1
- Retrieval of Snow Water Equivalent by the Precipitation Imaging Package (PIP) in the Northern Great Lakes A. Tokay et al. https://doi.org/10.1175/JTECH-D-20-0216.1
- Use of 2D-video disdrometer to derive mean density–size and Ze–SR relations: Four snow cases from the light precipitation validation experiment G. Huang et al. https://doi.org/10.1016/j.atmosres.2014.07.013
- Research on microphysical property of snowfall based on particle imaging velocimetry technology . Liu Xi-Chuan et al. https://doi.org/10.7498/aps.63.199201
- Relating snowfall observations to Greenland ice sheet mass changes: an atmospheric circulation perspective M. Gallagher et al. https://doi.org/10.5194/tc-16-435-2022
- Ensemble mean density and its connection to other microphysical properties of falling snow as observed in Southern Finland J. Tiira et al. https://doi.org/10.5194/amt-9-4825-2016
- Quantifying the effect of riming on snowfall using ground‐based observations D. Moisseev et al. https://doi.org/10.1002/2016JD026272
- Evaluation of the CloudSat surface snowfall product over Antarctica using ground-based precipitation radars N. Souverijns et al. https://doi.org/10.5194/tc-12-3775-2018
- Simulation and sensitivity analysis for cloud and precipitation measurements via spaceborne millimeter-wave radar L. Kou et al. https://doi.org/10.5194/amt-16-1723-2023
- Evaluating the realism of double moment parameterised particle size distributions in a midlatitude frontal ice cloud with complex microphysics R. Mammatt et al. https://doi.org/10.1002/qj.70172
- Evaluation of the GPM-DPR snowfall detection capability: Comparison with CloudSat-CPR D. Casella et al. https://doi.org/10.1016/j.atmosres.2017.06.018
- Evaluation of Seasonal and Synoptic Changes in Snow Accumulation in Antarctica between Five Reanalyses Products and In Situ Observations Y. Liu et al. https://doi.org/10.3390/atmos9120473
- An Incremental Learning Framework Linking Reanalysis and Radar Data for Passive Microwave Precipitation Retrievals B. Subedi et al. https://doi.org/10.1109/TGRS.2026.3713037
- On the Impacts of Different Definitions of Maximum Dimension for Nonspherical Particles Recorded by 2D Imaging Probes W. Wu & G. McFarquhar https://doi.org/10.1175/JTECH-D-15-0177.1
- Decoding global precipitation processes and particle evolution using unsupervised learning F. King et al. https://doi.org/10.1126/sciadv.adu0162
- Estimating radar reflectivity - Snowfall rate relationships and their uncertainties over Antarctica by combining disdrometer and radar observations N. Souverijns et al. https://doi.org/10.1016/j.atmosres.2017.06.001
- CloudSat-Based Assessment of GPM Microwave Imager Snowfall Observation Capabilities G. Panegrossi et al. https://doi.org/10.3390/rs9121263
- Validation of GMI Snowfall Observations by Using a Combination of Weather Radar and Surface Measurements A. von Lerber et al. https://doi.org/10.1175/JAMC-D-17-0176.1
- Characteristics of Snow Particle Size Distribution in the PyeongChang Region of South Korea T. Yu et al. https://doi.org/10.3390/atmos11101093
- Investigating the impact of reanalysis snow input on an observationally calibrated snow-on-sea-ice reconstruction A. Cabaj et al. https://doi.org/10.5194/tc-19-3033-2025
- The Precipitation Imaging Package: Assessment of Microphysical and Bulk Characteristics of Snow C. Pettersen et al. https://doi.org/10.3390/atmos11080785
- A comparative evaluation of snowflake particle shape estimation techniques used by the Precipitation Imaging Package (PIP), Multi-Angle Snowflake Camera (MASC), and Two-Dimensional Video Disdrometer (2DVD) C. Helms et al. https://doi.org/10.5194/amt-15-6545-2022
- Microphysical Properties of Snow and Their Link to Ze–S Relations during BAECC 2014 A. von Lerber et al. https://doi.org/10.1175/JAMC-D-16-0379.1
- Metric Learning for Approximation of Microwave Channel Error Covariance: Application for Satellite Retrieval of Drizzle and Light Snowfall A. Ebtehaj et al. https://doi.org/10.1109/TGRS.2019.2941682
- Competition Between Radiative and Seeding Effects of Overlying Clouds on Underlying Marine Stratocumulus B. Jian et al. https://doi.org/10.1029/2022GL100729
- The State of Precipitation Measurements at Mid-to-High Latitudes L. Milani & C. Kidd https://doi.org/10.3390/atmos14111677
- DeepPrecip: a deep neural network for precipitation retrievals F. King et al. https://doi.org/10.5194/amt-15-6035-2022
- Introducing the Video In Situ Snowfall Sensor (VISSS) M. Maahn et al. https://doi.org/10.5194/amt-17-899-2024
- Ice Crystal Sizes in High Ice Water Content Clouds. Part I: On the Computation of Median Mass Diameter from In Situ Measurements D. Leroy et al. https://doi.org/10.1175/JTECH-D-15-0151.1
- Processing of Ice Cloud In Situ Data Collected by Bulk Water, Scattering, and Imaging Probes: Fundamentals, Uncertainties, and Efforts toward Consistency G. McFarquhar et al. https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0007.1
- Passive Microwave Signatures and Retrieval of High-Latitude Snowfall Over Open Oceans and Sea Ice: Insights From Coincidences of GPM and CloudSat Satellites S. Vahedizade et al. https://doi.org/10.1109/TGRS.2021.3071709
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