Articles | Volume 7, issue 9
https://doi.org/10.5194/amt-7-2869-2014
© Author(s) 2014. 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-7-2869-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Sep 2014
Research article |
| 09 Sep 2014
Hydrometeor classification from two-dimensional video disdrometer data
J. Grazioli
Environmental Remote Sensing Laboratory (LTE), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Laboratory of Geographic Information Systems (LASIG), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
S. Monhart
Federal Office of Meteorology and Climatology, Meteo Swiss, Locarno-Monti, Switzerland
M. Schneebeli
Federal Office of Meteorology and Climatology, Meteo Swiss, Locarno-Monti, Switzerland
T. Raupach
Environmental Remote Sensing Laboratory (LTE), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Environmental Remote Sensing Laboratory (LTE), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
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Cited
32 citations as recorded by crossref.
- Spatiotemporal Variations in Snow and Soil Frost—A Review of Measurement Techniques A. Lundberg et al. https://doi.org/10.3390/hydrology3030028
- Performance of a laser disdrometer with hydrometeor imaging capabilities and fall velocity estimates for snowfall H. Minda et al. https://doi.org/10.1002/tee.22280
- Hydrometeor classification through statistical clustering of polarimetric radar measurements: a semi-supervised approach N. Besic et al. https://doi.org/10.5194/amt-9-4425-2016
- Feature Analysis and Classification of Particle Data from Two-Dimensional Video Disdrometer S. Gavrilov et al. https://doi.org/10.4236/ars.2015.41001
- A Versatile Method for Ice Particle Habit Classification Using Airborne Imaging Probe Data C. Praz et al. https://doi.org/10.1029/2018JD029163
- Unraveling hydrometeor mixtures in polarimetric radar measurements N. Besic et al. https://doi.org/10.5194/amt-11-4847-2018
- Automated precipitation monitoring with the Thies disdrometer: biases and ways for improvement M. Fehlmann et al. https://doi.org/10.5194/amt-13-4683-2020
- Improved Joint Phase–Attenuation Estimation With Adaptive and High-Resolution Empirical Coefficient Conditioning for Polarimetric Weather Radars S. Liu et al. https://doi.org/10.1109/TGRS.2024.3375502
- Classification of precipitation types using fall velocity-diameter relationships from 2D-video distrometer measurements J. Lee et al. https://doi.org/10.1007/s00376-015-4234-4
- Hydrometeor classification from polarimetric radar measurements: a clustering approach J. Grazioli et al. https://doi.org/10.5194/amt-8-149-2015
- Snow event classification with a 2D video disdrometer — A decision tree approach F. Bernauer et al. https://doi.org/10.1016/j.atmosres.2016.01.001
- Assessing the Effect of Riming on Snow Microphysics: The First Observational Study in East China Y. Zhang et al. https://doi.org/10.1029/2020JD033763
- Introducing the Video In Situ Snowfall Sensor (VISSS) M. Maahn et al. https://doi.org/10.5194/amt-17-899-2024
- Radar and ground-level measurements of precipitation collected by the École Polytechnique Fédérale de Lausanne during the International Collaborative Experiments for PyeongChang 2018 Olympic and Paralympic winter games J. Gehring et al. https://doi.org/10.5194/essd-13-417-2021
- A Vision-Based Precipitation Sensor for Detection and Classification of Hydrometeors Y. Ma et al. https://doi.org/10.1109/JSEN.2016.2542282
- A convolutional neural network for classifying cloud particles recorded by imaging probes G. Touloupas et al. https://doi.org/10.5194/amt-13-2219-2020
- Estimation of Liquid Fraction of Wet Snow by Using 2-D Video Disdrometer and S-Band Weather Radar S. Suh et al. https://doi.org/10.3390/rs13101901
- Heavy snowfall event over the Swiss Alps: did wind shear impact secondary ice production? Z. Dedekind et al. https://doi.org/10.5194/acp-23-2345-2023
- A Support Vector Machine Hydrometeor Classification Algorithm for Dual-Polarization Radar N. Roberto et al. https://doi.org/10.3390/atmos8080134
- Validation of rainfall data observed by using disdrometer under wet-bulb temperature conditions H. Kim et al. https://doi.org/10.5194/amt-19-2669-2026
- Raindrop size distributions observed by the Fengyun satellite precipitation validation network in the southern coastal area of China G. Wang et al. https://doi.org/10.1088/2515-7620/ae47ae
- Meteorological Electromagnetics: Optical and Radar Measurements, Modeling, and Characterization of Snowflakes and Snow B. Notaros https://doi.org/10.1109/MAP.2021.3054298
- ICE-CAMERA: a flatbed scanner to study inland Antarctic polar precipitation M. Del Guasta https://doi.org/10.5194/amt-15-6521-2022
- Reconstruction of the mass and geometry of snowfall particles from multi-angle snowflake camera (MASC) images J. Leinonen et al. https://doi.org/10.5194/amt-14-6851-2021
- Classification of Cloud Particle Imagery from Aircraft Platforms Using Convolutional Neural Networks V. Przybylo et al. https://doi.org/10.1175/JTECH-D-21-0094.1
- Neural network processing of holographic images J. Schreck et al. https://doi.org/10.5194/amt-15-5793-2022
- Characteristics of summer and winter precipitation over northern China G. Wen et al. https://doi.org/10.1016/j.atmosres.2017.07.023
- Meteorological Knowledge Useful for the Improvement of Snow Rain Separation in Surface Based Models J. Feiccabrino et al. https://doi.org/10.3390/hydrology2040266
- On the consistency of 2-D video disdrometers in measuring microphysical parameters of solid precipitation F. Bernauer et al. https://doi.org/10.5194/amt-8-3251-2015
- Classification of Cloud Particle Habits Using Transfer Learning with a Deep Convolutional Neural Network Y. Xu et al. https://doi.org/10.3390/atmos16030294
- Contribution of the 2DVD to the investigation of cloud microphysics during the MOSAiC and Cloudlab/PolarCAP campaigns T. Gaudek et al. https://doi.org/10.5194/amt-19-2245-2026
- Solid hydrometeor classification and riming degree estimation from pictures collected with a Multi-Angle Snowflake Camera C. Praz et al. https://doi.org/10.5194/amt-10-1335-2017
32 citations as recorded by crossref.
- Spatiotemporal Variations in Snow and Soil Frost—A Review of Measurement Techniques A. Lundberg et al. https://doi.org/10.3390/hydrology3030028
- Performance of a laser disdrometer with hydrometeor imaging capabilities and fall velocity estimates for snowfall H. Minda et al. https://doi.org/10.1002/tee.22280
- Hydrometeor classification through statistical clustering of polarimetric radar measurements: a semi-supervised approach N. Besic et al. https://doi.org/10.5194/amt-9-4425-2016
- Feature Analysis and Classification of Particle Data from Two-Dimensional Video Disdrometer S. Gavrilov et al. https://doi.org/10.4236/ars.2015.41001
- A Versatile Method for Ice Particle Habit Classification Using Airborne Imaging Probe Data C. Praz et al. https://doi.org/10.1029/2018JD029163
- Unraveling hydrometeor mixtures in polarimetric radar measurements N. Besic et al. https://doi.org/10.5194/amt-11-4847-2018
- Automated precipitation monitoring with the Thies disdrometer: biases and ways for improvement M. Fehlmann et al. https://doi.org/10.5194/amt-13-4683-2020
- Improved Joint Phase–Attenuation Estimation With Adaptive and High-Resolution Empirical Coefficient Conditioning for Polarimetric Weather Radars S. Liu et al. https://doi.org/10.1109/TGRS.2024.3375502
- Classification of precipitation types using fall velocity-diameter relationships from 2D-video distrometer measurements J. Lee et al. https://doi.org/10.1007/s00376-015-4234-4
- Hydrometeor classification from polarimetric radar measurements: a clustering approach J. Grazioli et al. https://doi.org/10.5194/amt-8-149-2015
- Snow event classification with a 2D video disdrometer — A decision tree approach F. Bernauer et al. https://doi.org/10.1016/j.atmosres.2016.01.001
- Assessing the Effect of Riming on Snow Microphysics: The First Observational Study in East China Y. Zhang et al. https://doi.org/10.1029/2020JD033763
- Introducing the Video In Situ Snowfall Sensor (VISSS) M. Maahn et al. https://doi.org/10.5194/amt-17-899-2024
- Radar and ground-level measurements of precipitation collected by the École Polytechnique Fédérale de Lausanne during the International Collaborative Experiments for PyeongChang 2018 Olympic and Paralympic winter games J. Gehring et al. https://doi.org/10.5194/essd-13-417-2021
- A Vision-Based Precipitation Sensor for Detection and Classification of Hydrometeors Y. Ma et al. https://doi.org/10.1109/JSEN.2016.2542282
- A convolutional neural network for classifying cloud particles recorded by imaging probes G. Touloupas et al. https://doi.org/10.5194/amt-13-2219-2020
- Estimation of Liquid Fraction of Wet Snow by Using 2-D Video Disdrometer and S-Band Weather Radar S. Suh et al. https://doi.org/10.3390/rs13101901
- Heavy snowfall event over the Swiss Alps: did wind shear impact secondary ice production? Z. Dedekind et al. https://doi.org/10.5194/acp-23-2345-2023
- A Support Vector Machine Hydrometeor Classification Algorithm for Dual-Polarization Radar N. Roberto et al. https://doi.org/10.3390/atmos8080134
- Validation of rainfall data observed by using disdrometer under wet-bulb temperature conditions H. Kim et al. https://doi.org/10.5194/amt-19-2669-2026
- Raindrop size distributions observed by the Fengyun satellite precipitation validation network in the southern coastal area of China G. Wang et al. https://doi.org/10.1088/2515-7620/ae47ae
- Meteorological Electromagnetics: Optical and Radar Measurements, Modeling, and Characterization of Snowflakes and Snow B. Notaros https://doi.org/10.1109/MAP.2021.3054298
- ICE-CAMERA: a flatbed scanner to study inland Antarctic polar precipitation M. Del Guasta https://doi.org/10.5194/amt-15-6521-2022
- Reconstruction of the mass and geometry of snowfall particles from multi-angle snowflake camera (MASC) images J. Leinonen et al. https://doi.org/10.5194/amt-14-6851-2021
- Classification of Cloud Particle Imagery from Aircraft Platforms Using Convolutional Neural Networks V. Przybylo et al. https://doi.org/10.1175/JTECH-D-21-0094.1
- Neural network processing of holographic images J. Schreck et al. https://doi.org/10.5194/amt-15-5793-2022
- Characteristics of summer and winter precipitation over northern China G. Wen et al. https://doi.org/10.1016/j.atmosres.2017.07.023
- Meteorological Knowledge Useful for the Improvement of Snow Rain Separation in Surface Based Models J. Feiccabrino et al. https://doi.org/10.3390/hydrology2040266
- On the consistency of 2-D video disdrometers in measuring microphysical parameters of solid precipitation F. Bernauer et al. https://doi.org/10.5194/amt-8-3251-2015
- Classification of Cloud Particle Habits Using Transfer Learning with a Deep Convolutional Neural Network Y. Xu et al. https://doi.org/10.3390/atmos16030294
- Contribution of the 2DVD to the investigation of cloud microphysics during the MOSAiC and Cloudlab/PolarCAP campaigns T. Gaudek et al. https://doi.org/10.5194/amt-19-2245-2026
- Solid hydrometeor classification and riming degree estimation from pictures collected with a Multi-Angle Snowflake Camera C. Praz et al. https://doi.org/10.5194/amt-10-1335-2017
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