Articles | Volume 13, issue 9
https://doi.org/10.5194/amt-13-4683-2020
© Author(s) 2020. 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-13-4683-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Sep 2020
Research article |
| 04 Sep 2020
| 04 Sep 2020
Automated precipitation monitoring with the Thies disdrometer: biases and ways for improvement
Michael Fehlmann
CORRESPONDING AUTHOR
Climate Change Impacts and Risks in the Anthropocene (C-CIA), Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland
Mario Rohrer
Climate Change Impacts and Risks in the Anthropocene (C-CIA), Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland
Meteodat GmbH, Zurich, Switzerland
Annakaisa von Lerber
Finnish Meteorological Institute (FMI), Helsinki, Finland
Markus Stoffel
Climate Change Impacts and Risks in the Anthropocene (C-CIA), Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland
Department of Earth Sciences, University of Geneva, Geneva, Switzerland
Department F.-A. Forel for Environmental and Aquatic Sciences, University of Geneva, Geneva, Switzerland
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Cited
21 citations as recorded by crossref.
- Influence of Wind-Induced Effects on Laser Disdrometer Measurements: Analysis and Compensation Strategies V. Capozzi et al. 10.3390/rs13153028
- Performance of the Thies Clima 3D Stereo Disdrometer: Evaluation during Rain and Snow Events S. Angeloni et al. 10.3390/s24051562
- Акустика периодических и множественных ударов капель о водную поверхность Ю. Чашечкин & В. Прохоров 10.31857/S0320791922700071
- Error investigation of rain retrievals from disdrometer data using triple colocation C. Annella et al. 10.1002/asl.1127
- Microphysics-based rainfall energy estimation using remote sensing and reanalysis data J. Zhu et al. 10.1016/j.jhydrol.2023.130314
- Corrections of Precipitation Particle Size Distribution Measured by a Parsivel OTT2 Disdrometer under Windy Conditions in the Antisana Massif, Ecuador L. Gualco et al. 10.3390/w13182576
- Assessing the benefits of specific attenuation for quantitative precipitation estimation with a C-band radar network J. Chen et al. 10.1175/JHM-D-20-0299.1
- Atmospheric Drivers of Wind Turbine Blade Leading Edge Erosion: Review and Recommendations for Future Research S. Pryor et al. 10.3390/en15228553
- Evaluation of precipitation measurement methods using data from a precision lysimeter network T. Schnepper et al. 10.5194/hess-27-3265-2023
- The Path Reduction Factor for the Prediction of Rain Attenuation Affecting Short EHF Terrestrial Links F. Capelletti et al. 10.1109/OJAP.2023.3340896
- Recording Rainfall Intensity: Has an Optimum Method Been Found? D. Dunkerley 10.3390/w15193383
- New insights into real-time detection of tephra grainsize, settling velocity and sedimentation rate V. Freret-Lorgeril et al. 10.1038/s41598-022-08711-1
- Snowfall Microphysics Characterized by PARSIVEL Disdrometer Observations in Beijing from 2020 to 2022 Y. Shen et al. 10.3390/rs14236025
- Preprocessing and Assessment of Rain Drop Size Distributions Measured With a K-Band Doppler Radar and an Optical Disdrometer J. Riera et al. 10.1109/TIM.2020.3007909
- Database of the Italian disdrometer network E. Adirosi et al. 10.5194/essd-15-2417-2023
- Investigation of raindrop size distribution and its potential influential factors during warm season over China Y. Han et al. 10.1016/j.atmosres.2022.106248
- Acoustics of Periodic and Multiple Drop Impacts on a Water Surface Y. Chashechkin & V. Prokhorov 10.1134/S1063771022700099
- Extinction of high-power laser radiation under adverse weather conditions A. Peckhaus et al. 10.1364/AO.496443
- Improving CINRAD Radar QPE Through GPM‐DPR Reflectivity Bias Correction Z. Zhu et al. 10.1029/2022WR033719
- Estimation of Liquid Fraction of Wet Snow by Using 2-D Video Disdrometer and S-Band Weather Radar S. Suh et al. 10.3390/rs13101901
- Error investigation of rain retrievals from disdrometer data using triple colocation C. Annella et al. 10.1002/asl.1127
20 citations as recorded by crossref.
- Influence of Wind-Induced Effects on Laser Disdrometer Measurements: Analysis and Compensation Strategies V. Capozzi et al. 10.3390/rs13153028
- Performance of the Thies Clima 3D Stereo Disdrometer: Evaluation during Rain and Snow Events S. Angeloni et al. 10.3390/s24051562
- Акустика периодических и множественных ударов капель о водную поверхность Ю. Чашечкин & В. Прохоров 10.31857/S0320791922700071
- Error investigation of rain retrievals from disdrometer data using triple colocation C. Annella et al. 10.1002/asl.1127
- Microphysics-based rainfall energy estimation using remote sensing and reanalysis data J. Zhu et al. 10.1016/j.jhydrol.2023.130314
- Corrections of Precipitation Particle Size Distribution Measured by a Parsivel OTT2 Disdrometer under Windy Conditions in the Antisana Massif, Ecuador L. Gualco et al. 10.3390/w13182576
- Assessing the benefits of specific attenuation for quantitative precipitation estimation with a C-band radar network J. Chen et al. 10.1175/JHM-D-20-0299.1
- Atmospheric Drivers of Wind Turbine Blade Leading Edge Erosion: Review and Recommendations for Future Research S. Pryor et al. 10.3390/en15228553
- Evaluation of precipitation measurement methods using data from a precision lysimeter network T. Schnepper et al. 10.5194/hess-27-3265-2023
- The Path Reduction Factor for the Prediction of Rain Attenuation Affecting Short EHF Terrestrial Links F. Capelletti et al. 10.1109/OJAP.2023.3340896
- Recording Rainfall Intensity: Has an Optimum Method Been Found? D. Dunkerley 10.3390/w15193383
- New insights into real-time detection of tephra grainsize, settling velocity and sedimentation rate V. Freret-Lorgeril et al. 10.1038/s41598-022-08711-1
- Snowfall Microphysics Characterized by PARSIVEL Disdrometer Observations in Beijing from 2020 to 2022 Y. Shen et al. 10.3390/rs14236025
- Preprocessing and Assessment of Rain Drop Size Distributions Measured With a K-Band Doppler Radar and an Optical Disdrometer J. Riera et al. 10.1109/TIM.2020.3007909
- Database of the Italian disdrometer network E. Adirosi et al. 10.5194/essd-15-2417-2023
- Investigation of raindrop size distribution and its potential influential factors during warm season over China Y. Han et al. 10.1016/j.atmosres.2022.106248
- Acoustics of Periodic and Multiple Drop Impacts on a Water Surface Y. Chashechkin & V. Prokhorov 10.1134/S1063771022700099
- Extinction of high-power laser radiation under adverse weather conditions A. Peckhaus et al. 10.1364/AO.496443
- Improving CINRAD Radar QPE Through GPM‐DPR Reflectivity Bias Correction Z. Zhu et al. 10.1029/2022WR033719
- Estimation of Liquid Fraction of Wet Snow by Using 2-D Video Disdrometer and S-Band Weather Radar S. Suh et al. 10.3390/rs13101901
1 citations as recorded by crossref.
Latest update: 25 Apr 2024
Short summary
The Thies disdrometer is used to monitor precipitation intensity and its phase and thus may provide valuable information for the management of meteorological and hydrological risks. In this study, we characterize biases of this instrument using common reference instruments at a pre-alpine study site in Switzerland. We find a systematic underestimation of liquid precipitation amounts and suggest possible reasons for and corrections to this bias and relate these findings to other study sites.
The Thies disdrometer is used to monitor precipitation intensity and its phase and thus may...
