85 citations as recorded by crossref.

1. Decadal Variation in Raindrop Size Distributions in Busan, Korea C. You & D. Lee https://doi.org/10.1155/2015/329327
2. Comparison of precipitation measurements by OTT Parsivel2and Thies LPM optical disdrometers M. Angulo-Martínez et al. https://doi.org/10.5194/hess-22-2811-2018
3. Close-range radar rainfall estimation and error analysis C. van de Beek et al. https://doi.org/10.5194/amt-9-3837-2016
4. Comparative measurement of rainfall with a precipitation micro-physical characteristics sensor, a 2D video disdrometer, an OTT PARSIVEL disdrometer, and a rain gauge X. Liu et al. https://doi.org/10.1016/j.atmosres.2019.06.020
5. Characteristics of Particle Size Distributions of Falling Volcanic Ash Measured by Optical Disdrometers at the Sakurajima Volcano, Japan M. Maki et al. https://doi.org/10.3390/atmos12050601
6. Reconstructing the Drizzle Mode of the Raindrop Size Distribution Using Double-Moment Normalization T. Raupach et al. https://doi.org/10.1175/JAMC-D-18-0156.1
7. Short-Term Predictability of Extreme Rainfall Using Dual-Polarization Radar Measurements A. OTSUBO & A. ADACHI https://doi.org/10.2151/jmsj.2024-007
8. Drop-Size Distributions in Thunderstorms Measured by Optical Disdrometers during VORTEX2 K. Friedrich et al. https://doi.org/10.1175/MWR-D-12-00116.1
9. Sensitivity analysis of DSD retrievals from polarimetric radar in stratiform rain based on the μ–Λ relationship C. Gatidis et al. https://doi.org/10.5194/amt-15-4951-2022
10. Uncertainties of GPM DPR Rain Estimates Caused by DSD Parameterizations L. Liao et al. https://doi.org/10.1175/JAMC-D-14-0003.1
11. Sensitivity of C-Band Polarimetric Radar–Based Drop Size Estimates to Maximum Diameter L. Carey & W. Petersen https://doi.org/10.1175/JAMC-D-14-0079.1
12. Database of the Italian disdrometer network E. Adirosi et al. https://doi.org/10.5194/essd-15-2417-2023
13. Sampling variability effects in drop‐resolving disdrometer observations M. Larsen & K. O'Dell https://doi.org/10.1002/2016JD025491
14. Raindrop size distribution of rainfall system indirectly affected by Typhoon Kong-Rey (2018) passed through the southern parts of Korea S. Suh et al. https://doi.org/10.1016/j.atmosres.2021.105561
15. Raindrop size distribution measurements on the Southeast Tibetan Plateau during the STEP project G. Wang et al. https://doi.org/10.1016/j.atmosres.2020.105311
16. Zależności Z-R dla różnych typów opadów jako narzędzie do radarowego szacowania wielkości opadów = The Z-R relationships for different types of precipitation as a tool for radar-based precipitation estimation M. Barszcz et al. https://doi.org/10.7163/PrzG.2023.2.2
17. Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. https://doi.org/10.1029/2019MS001689
18. A Precipitation Classification System Using Vertical Doppler Radar Based on Neural Networks K. Makino et al. https://doi.org/10.1029/2018RS006567
19. Characteristics and Small-Scale Variations of Raindrop Size Distribution over the Yangtze River Delta in East China Y. Li et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001932
20. Preface ''Precipitation: Measurement, Climatology, Remote Sensing, and Modeling (EGU 2010)'' S. Michaelides & S. Athanasatos https://doi.org/10.5194/adgeo-30-1-2011
21. Measurement uncertainty in rainfall kinetic energy and intensity relationships for soil erosion studies: An evaluation using PARSIVEL disdrometers in the Southern Appalachian Mountains M. Angulo-Martínez & A. Barros https://doi.org/10.1016/j.geomorph.2014.07.036
22. Measuring Hydrometeors Using a Precipitation Microphysical Characteristics Sensor: Sampling Effect of Different Bin Sizes on Drop Size Distribution Parameters X. Liu et al. https://doi.org/10.1155/2018/9727345
23. Rainfall Microphysics Influenced by Strong Wind during a Tornadic Storm A. Bolek & F. Testik https://doi.org/10.1175/JHM-D-21-0004.1
24. Characteristics of Summer Season Raindrop Size Distribution in Three Typical Regions of Western Pacific Z. Wu et al. https://doi.org/10.1029/2018JD029194
25. Raindrop Size Distribution and Rain Characteristics during the 2013 Great Colorado Flood K. Friedrich et al. https://doi.org/10.1175/JHM-D-14-0184.1
26. A video precipitation sensor for imaging and velocimetry of hydrometeors X. Liu et al. https://doi.org/10.5194/amt-7-2037-2014
27. A General N-Moment Normalization Method for Deriving Raindrop Size Distribution Scaling Relationships H. Morrison et al. https://doi.org/10.1175/JAMC-D-18-0060.1
28. In-situ measurement of tephra deposit load based on a disdrometer network at Sakurajima volcano, Japan K. Takishita et al. https://doi.org/10.1016/j.jvolgeores.2021.107442
29. Variability in the Raindrop Size Distribution during an Extreme Large-Scale Freezing Rain Event in Northeast China Z. Fu et al. https://doi.org/10.1007/s13351-025-4150-1
30. Evaluation of the New Version of the Laser-Optical Disdrometer, OTT Parsivel2 A. Tokay et al. https://doi.org/10.1175/JTECH-D-13-00174.1
31. Microphysical Features of Rain and Rain events during different Seasons over a Tropical Mountain location using an Optical Disdrometer T. Sreekanth et al. https://doi.org/10.1038/s41598-019-55583-z
32. Evaluation of the Microphysical Assumptions within GPM-DPR Using Ground-Based Observations of Rain and Snow R. Chase et al. https://doi.org/10.3390/atmos11060619
33. Raindrop Size Spectrum in Deep Convective Regions of the Americas L. Rivelli Zea et al. https://doi.org/10.3390/atmos12080979
34. Comparative study of rainfall measurement by optical disdrometer, tipping-bucket rain gauge, and weighing precipitation gauge Y. Ro et al. https://doi.org/10.1007/s11069-023-06308-z
35. Characteristics of vertical velocities estimated from drop size and fall velocity spectra of a Parsivel disdrometer D. Kim & C. Song https://doi.org/10.5194/amt-11-3851-2018
36. Seasonal Variation in Microphysical Characteristics of Precipitation at the Entrance of Water Vapor Channel in Yarlung Zangbo Grand Canyon R. Li et al. https://doi.org/10.3390/rs14133149
37. Primary Modes of Global Drop Size Distributions B. Dolan et al. https://doi.org/10.1175/JAS-D-17-0242.1
38. A Field Study of Pixel-Scale Variability of Raindrop Size Distribution in the Mid-Atlantic Region A. Tokay et al. https://doi.org/10.1175/JHM-D-15-0159.1
39. Refinements to Data Acquired by 2-Dimensional Video Disdrometers M. Larsen & C. Blouin https://doi.org/10.3390/atmos11080855
40. Idealized simulation study of the relationship of disdrometer sampling statistics with the precision of precipitation rate measurement K. Rees & T. Garrett https://doi.org/10.5194/amt-14-7681-2021
41. High-Speed Optical Disdrometer for Rainfall Microphysical Observations F. Testik & M. Rahman https://doi.org/10.1175/JTECH-D-15-0098.1
42. Statistical Characteristics of Raindrop Size Distribution in Monsoon Season over South China Sea C. Huang et al. https://doi.org/10.3390/rs13152878
43. Unified Formulation of Single- and Multimoment Normalizations of the Raindrop Size Distribution Based on the Gamma Probability Density Function N. Yu et al. https://doi.org/10.1175/JAMC-D-12-0244.1
44. Influence of Disdrometer Type on Weather Radar Algorithms from Measured DSD: Application to Italian Climatology E. Adirosi et al. https://doi.org/10.3390/atmos9090360
45. Multifractal comparison of rainfall measurement with the help of a disdrometer and a mini vertically pointing Doppler radar M. Seppe Silva et al. https://doi.org/10.1080/02626667.2025.2464948
46. Global precipitation measurement: Methods, datasets and applications F. Tapiador et al. https://doi.org/10.1016/j.atmosres.2011.10.021
47. Statistical Characteristics of Raindrop Size Distribution in the Meiyu Season Observed in Eastern China B. CHEN et al. https://doi.org/10.2151/jmsj.2013-208
48. Signatures of Shallow and Deep Clouds Inferred From Precipitation Microphysics Over Windward Side of Western Ghats R. Sumesh et al. https://doi.org/10.1029/2020JD034312
49. Correction to raindrop size distributions measured by PARSIVEL disdrometers in strong winds L. Lin et al. https://doi.org/10.1016/j.atmosres.2021.105728
50. Identification and Characterization of an Anomaly in Two-Dimensional Video Disdrometer Data M. Larsen & M. Schönhuber https://doi.org/10.3390/atmos9080315
51. Toward an assessment of the hydrological components variability in green infrastructures: Pilot site of the Green Wave (Champs-sur-Marne) P. Versini et al. https://doi.org/10.1051/lhb/2018040
52. On the seasonal variability of raindrop size distribution and associated variations in reflectivity – Rainrate relations at Tirupati, a tropical station Y. Sulochana et al. https://doi.org/10.1016/j.jastp.2016.07.011
53. Detection of potentially hazardous convective clouds with a dual-polarized C-band radar A. Adachi et al. https://doi.org/10.5194/amt-6-2741-2013
54. An Inverse Mapping Table Method for Raindrop Size Distribution Parameters Retrieval Using X-band Dual-Polarization Radar Observations Y. Sun et al. https://doi.org/10.1109/TGRS.2020.2982687
55. Evaluation of GPM Dual-Frequency Precipitation Radar Algorithms to Estimate Drop Size Distribution Parameters, Using Ground-Based Measurement over the Central Andes of Peru C. Del Castillo-Velarde et al. https://doi.org/10.1007/s41748-021-00242-5
56. Quantitative Precipitation Estimation Using X-Band Radar for Orographic Rainfall in the San Francisco Bay Area S. Biswas et al. https://doi.org/10.1109/TGRS.2022.3207829
57. Impacts of Instrument Limitations on Estimated Raindrop Size Distribution, Radar Parameters, and Model Microphysics during Mei-Yu Season in East China L. Wen et al. https://doi.org/10.1175/JTECH-D-16-0225.1
58. Statistical Characteristics of Summer Season Raindrop Size Distribution in the Western and Central Tianshan Mountains in China Y. ZENG et al. https://doi.org/10.2151/jmsj.2022-044
59. Raindrop size distribution of monsoon and tropical cyclone events over South China R. Lai et al. https://doi.org/10.1016/j.atmosres.2025.108376
60. Cloud‐Resolving Model Intercomparison of an MC3E Squall Line Case: Part II. Stratiform Precipitation Properties B. Han et al. https://doi.org/10.1029/2018JD029596
61. A new power-law model for μ–Λ relationships in convective and stratiform rainfall C. Gatidis et al. https://doi.org/10.5194/amt-17-235-2024
62. Articulating and Stationary PARSIVEL Disdrometer Measurements in Conditions with Strong Winds and Heavy Rainfall K. Friedrich et al. https://doi.org/10.1175/JTECH-D-12-00254.1
63. Two months of disdrometer data in the Paris area A. Gires et al. https://doi.org/10.5194/essd-10-941-2018
64. Variation in rain drop size distribution and rain integral parameters during southwest monsoon over a tropical station: An inter-comparison of disdrometer and Micro Rain Radar D. Jash et al. https://doi.org/10.1016/j.atmosres.2018.10.014
65. Measurements of the water balance components of a large green roof in the greater Paris area P. Versini et al. https://doi.org/10.5194/essd-12-1025-2020
66. Comparison of Disdrometer and X-Band Mobile Radar Observations in Convective Precipitation E. Kalina et al. https://doi.org/10.1175/MWR-D-14-00039.1
67. Comparison of Raindrop Size Distribution Measurements by Collocated Disdrometers A. Tokay et al. https://doi.org/10.1175/JTECH-D-12-00163.1
68. Improving Radar Rainfall Estimations with Scaled Raindrop Size Spectra in Mei-Yu Frontal Rainstorms H. Zheng et al. https://doi.org/10.3390/s20185257
69. Evaluating the Variability of Simulated Raindrop Size Distributions in the “21·7” Henan Extremely Heavy Rainfall Event G. Chen et al. https://doi.org/10.1029/2023GL102849
70. Comparative Evaluation of the OTT PARSIVEL2 Using a Collocated Two-Dimensional Video Disdrometer S. Park et al. https://doi.org/10.1175/JTECH-D-16-0256.1
71. Raindrop Size Distribution Measurements at 4,500 m on the Tibetan Plateau During TIPEX‐III B. Chen et al. https://doi.org/10.1002/2017JD027233
72. Atmospheric Drivers of Wind Turbine Blade Leading Edge Erosion: Review and Recommendations for Future Research S. Pryor et al. https://doi.org/10.3390/en15228553
73. A comparison of rainfall measurements from multiple instruments X. Liu et al. https://doi.org/10.5194/amt-6-1585-2013
74. Evaluating Parsivel2's raindrop data: A comparative study of different terminal drop velocity models on simulated and natural rain events L. Yuan et al. https://doi.org/10.1016/j.atmosenv.2025.121548
75. 2DVD Data Revisited: Multifractal Insights into Cuts of the Spatiotemporal Rainfall Process A. Gires et al. https://doi.org/10.1175/JHM-D-14-0127.1
76. The Midlatitude Continental Convective Clouds Experiment (MC3E) M. Jensen et al. https://doi.org/10.1175/BAMS-D-14-00228.1
77. Retrieval of the raindrop size distribution from polarimetric radar data using double-moment normalisation T. Raupach & A. Berne https://doi.org/10.5194/amt-10-2573-2017
78. Estimation of Raindrop Size Distribution and Rainfall Rate from Polarimetric Radar Measurements at Attenuating Frequency Based on the Self-Consistency Principle A. ADACHI et al. https://doi.org/10.2151/jmsj.2015-020
79. Snowfall Microphysics Characterized by PARSIVEL Disdrometer Observations in Beijing from 2020 to 2022 Y. Shen et al. https://doi.org/10.3390/rs14236025
80. Multifractal comparison of the outputs of two optical disdrometers A. Gires et al. https://doi.org/10.1080/02626667.2015.1055270
81. Microphysical Characteristics of Rainfall Observed by a 2DVD Disdrometer during Different Seasons in Beijing, China L. Luo et al. https://doi.org/10.3390/rs13122303
82. Evaluation of Gamma Raindrop Size Distribution Assumption through Comparison of Rain Rates of Measured and Radar-Equivalent Gamma DSD E. Adirosi et al. https://doi.org/10.1175/JAMC-D-13-0150.1
83. Raindrop size distribution (DSD) during the passage of tropical cyclone Nivar: effect of measuring principle and wind on DSDs and retrieved rain integral and polarimetric parameters from impact and laser disdrometers B. Radhakrishna https://doi.org/10.5194/amt-15-6705-2022
84. A Statistical Framework for Evaluating Rain Microphysics in Model Simulations and Disdrometer Observations B. Dolan et al. https://doi.org/10.1029/2023JD038902
85. Correction of raindrop size distributions measured by Parsivel disdrometers, using a two-dimensional video disdrometer as a reference T. Raupach & A. Berne https://doi.org/10.5194/amt-8-343-2015