Articles | Volume 12, issue 11
https://doi.org/10.5194/amt-12-5845-2019
© Author(s) 2019. 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-12-5845-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Nov 2019
Research article |
| 08 Nov 2019
| 08 Nov 2019
The Disdrometer Verification Network (DiVeN): a UK network of laser precipitation instruments
Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, Yorkshire, LS2 9JT, UK
Ryan R. Neely III
National Centre for Atmospheric Science, 71-75 Clarendon Rd, Leeds, Yorkshire, LS2 9PH, UK
Dawn Harrison
United Kingdom Meteorological Office, Fitzroy Rd, Exeter, EX1 3PB, UK
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- Acquiring unbiased rainfall duration and intensity data from tipping-bucket rain gauges: A new approach using synchronised acoustic recordings D. Dunkerley 10.1016/j.atmosres.2020.105055
- Relating the Radar Bright Band and Its Strength to Surface Rainfall Rate Using an Automated Approach D. Lin et al. 10.1175/JHM-D-19-0085.1
- Atmospheric Drivers of Wind Turbine Blade Leading Edge Erosion: Review and Recommendations for Future Research S. Pryor et al. 10.3390/en15228553
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- Assessing precipitation from a dual-polarisation X-band radar campaign using the Grid-to-Grid hydrological model J. Wallbank et al. 10.1016/j.jhydrol.2022.128311
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- Database of the Italian disdrometer network E. Adirosi et al. 10.5194/essd-15-2417-2023
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24 citations as recorded by crossref.
- Estimation of rainfall erosivity based on WRF-derived raindrop size distributions Q. Dai et al. 10.5194/hess-24-5407-2020
- Towerpy: An open-source toolbox for processing polarimetric weather radar data D. Sanchez-Rivas & M. Rico-Ramirez 10.1016/j.envsoft.2023.105746
- Raindrop size distribution (DSD) retrieval from polarimetric radar observations using neural networks J. Zhu et al. 10.1016/j.atmosres.2024.107638
- Seasonal dependence of characteristics of rain drop size distribution over two different climatic zones of India D. Shaik et al. 10.1007/s00703-024-01012-4
- Automated precipitation monitoring with the Thies disdrometer: biases and ways for improvement M. Fehlmann et al. 10.5194/amt-13-4683-2020
- Investigation of the Wind-Induced Airflow Pattern Near the Thies LPM Precipitation Gauge E. Chinchella et al. 10.3390/s21144880
- Acoustic signal-based indigenous real-time rainfall monitoring system for sustainable environment R. kumari et al. 10.1016/j.seta.2023.103398
- Stratospheric platform applications: reduced cognitive load for multimedia and education A. Periola 10.1007/s11276-023-03630-z
- On collisional drop breakup in orographic rain N. Singh et al. 10.1016/j.atmosres.2024.107232
- Radar remote sensing reveals potential underestimation of rainfall erosivity at the global scale Q. Dai et al. 10.1126/sciadv.adg5551
- Acquiring unbiased rainfall duration and intensity data from tipping-bucket rain gauges: A new approach using synchronised acoustic recordings D. Dunkerley 10.1016/j.atmosres.2020.105055
- Relating the Radar Bright Band and Its Strength to Surface Rainfall Rate Using an Automated Approach D. Lin et al. 10.1175/JHM-D-19-0085.1
- Atmospheric Drivers of Wind Turbine Blade Leading Edge Erosion: Review and Recommendations for Future Research S. Pryor et al. 10.3390/en15228553
- Microphysics-based rainfall energy estimation using remote sensing and reanalysis data J. Zhu et al. 10.1016/j.jhydrol.2023.130314
- Reshaping global rainfall erosivity rates: A study on precipitation phase correction from 2015 to 2022 D. Ji et al. 10.1016/j.jhydrol.2025.133271
- Assessing precipitation from a dual-polarisation X-band radar campaign using the Grid-to-Grid hydrological model J. Wallbank et al. 10.1016/j.jhydrol.2022.128311
- Rainfall drop arrival rate at the ground: A potentially informative parameter in the experimental study of infiltration, soil erosion, and related land surface processes D. Dunkerley 10.1016/j.catena.2021.105552
- Calibration of radar differential reflectivity using quasi-vertical profiles D. Sanchez-Rivas & M. Rico-Ramirez 10.5194/amt-15-503-2022
- DREE-RF: A Radar-Based Rainfall Energy Estimation Model Using Random Forest J. Zhu et al. 10.1109/TGRS.2024.3487221
- Database of the Italian disdrometer network E. Adirosi et al. 10.5194/essd-15-2417-2023
- Influence of Wind-Induced Effects on Laser Disdrometer Measurements: Analysis and Compensation Strategies V. Capozzi et al. 10.3390/rs13153028
- Impact of meteorological data factors and material characterization method on the predictions of leading edge erosion of wind turbine blades A. Castorrini et al. 10.1016/j.renene.2024.120549
- Rainfall Kinetic Energy in Denmark: Relationship with Drop Size, Wind Speed, and Rain Rate A. Tilg et al. 10.1175/JHM-D-19-0251.1
- A Review on Rain Signal Attenuation Modeling, Analysis and Validation Techniques: Advances, Challenges and Future Direction E. Alozie et al. 10.3390/su141811744
Latest update: 13 Jul 2025
Short summary
A new network of precipitation instruments has been established for the UK. The instruments are capable of detecting the fall velocity and diameter of each particle that falls through a laser beam. The particle characteristics are derived from the duration and amount of decrease in beam brightness as perceived by a receiving diode. A total of 14 instruments make up the network and all instruments upload 60 s frequency data in near-real time to a publicly available website with plots.
A new network of precipitation instruments has been established for the UK. The instruments are...
