Articles | Volume 23, issue 10
https://doi.org/10.5194/hess-23-4153-2019
© 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/hess-23-4153-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Oct 2019
Research article |
| 09 Oct 2019
| 09 Oct 2019
Statistical characteristics of raindrop size distribution during rainy seasons in the Beijing urban area and implications for radar rainfall estimation
Yu Ma
State Key Laboratory of Hydro-Science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Guangheng Ni
State Key Laboratory of Hydro-Science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Chandrasekar V. Chandra
Colorado State University, Fort Collins, CO 80523, USA
Fuqiang Tian
State Key Laboratory of Hydro-Science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Colorado State University, Fort Collins, CO 80523, USA
NOAA/Earth System Research Laboratory, Boulder, CO 80305, USA
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- Characteristics of Snow Particle Size Distribution in the PyeongChang Region of South Korea T. Yu et al. 10.3390/atmos11101093
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- Seasonal variation of microphysical characteristics for different rainfall types in the Tianshan Mountains of China Y. Zeng et al. 10.1016/j.atmosres.2023.107024
- Investigation of Summer Raindrop Size Distributions and Associated Relations in the Semi-arid Region over Inner Mongolian Plateau, China L. Sha et al. 10.1007/s00376-024-4059-0
- Exploring the statistical characteristics of coastal winter precipitation measured using a Parsivel2 disdrometer: A case study in North Carolina L. Yuan et al. 10.1016/j.atmosres.2024.107487
- Raindrop size distribution and microphysical characteristics of a great rainstorm in 2016 in Beijing, China L. Luo et al. 10.1016/j.atmosres.2020.104895
- Regional differences in raindrop size distribution observed from disdrometers in South Korea and their possible causes J. Lee et al. 10.1007/s00704-022-04192-4
- WRF Rainfall Modeling Post-Processing by Adaptive Parameterization of Raindrop Size Distribution: A Case Study on the United Kingdom Q. Yang et al. 10.3390/atmos13010036
- Statistical Characteristics of Warm Season Raindrop Size Distribution in the Beibu Gulf, South China X. Li et al. 10.3390/rs14194752
- Statistical characteristics of raindrop size distribution during rainy seasons in complicated mountain terrain W. Mao et al. 10.5194/hess-27-3895-2023
- 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
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- Diurnal Variation Characteristics of Raindrop Size Distribution Observed by a Parsivel2 Disdrometer in the Ili River Valley Y. Jiang et al. 10.1155/2024/1481661
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- Microphysical Characteristics of Raindrop Size Distribution and Implications for Radar Rainfall Estimation Over the Northeastern Tibetan Plateau Q. Li et al. 10.1029/2021JD035575
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- Investigating the reduction of rainfall intensity beneath an urban deciduous tree canopy M. Alivio et al. 10.1016/j.agrformet.2023.109727
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- Characteristics of Raindrop Size Distributions in Chongqing Observed by a Dense Network of Disdrometers X. Liu et al. 10.1029/2021JD035172
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1 citations as recorded by crossref.
Latest update: 31 Jul 2025
Short summary
Raindrop size distribution (DSD) information is fundamental in understanding the precipitation microphysics and quantitative precipitation estimation. This study extensively investigates the DSD characteristics during rainy seasons in the Beijing urban area using 5-year DSD observations from a Parsivel2 disdrometer. The statistical distributions of DSD parameters are examined and the polarimetric radar rainfall algorithms are derived to support the ongoing development of an X-band radar network.
Raindrop size distribution (DSD) information is fundamental in understanding the precipitation...
