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Article

Raindrop Size Distributions and Rain Characteristics Observed by a PARSIVEL Disdrometer in Beijing, Northern China

1
Institute of Urban Meteorology (IUM), Beijing 100089, China
2
Cooperative Institute for Research in the Atmosphere, Fort Collins, CO 80523, USA
3
NOAA Earth System Research Laboratory, Boulder, CO 80305, USA
4
Beijing Meteorological Observation Center, Beijing 100091, China
5
Key Laboratory of Mesoscale Severe Weather (MOE), and School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
6
School of Meteorology and Advanced Radar Research Center, University of Oklahoma, Norman, OK 73019, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(12), 1479; https://doi.org/10.3390/rs11121479
Received: 12 May 2019 / Revised: 12 June 2019 / Accepted: 19 June 2019 / Published: 21 June 2019
(This article belongs to the Special Issue Remote Sensing of Precipitation: Part II)
Fourteen-month precipitation measurements from a second-generation PARSIVEL disdrometer deployed in Beijing, northern China, were analyzed to investigate the microphysical structure of raindrop size distribution and its implications on polarimetric radar applications. Rainfall types are classified and analyzed in the domain of median volume diameter D 0 and the normalized intercept parameter N w . The separation line between convective and stratiform rain is almost equivalent to rain rate at 8.6 mm h−1 and radar reflectivity at 36.8 dBZ. Convective rain in Beijing shows distinct seasonal variations in log 10 N w D 0 domain. X-band dual-polarization variables are simulated using the T-matrix method to derive radar-based quantitative precipitation estimation (QPE) estimators, and rainfall products at hourly scale are evaluated for four radar QPE estimators using collocated but independent rain gauge observations. This study also combines the advantages of individual estimators based on the thresholds on polarimetric variables. Results show that the blended QPE estimator has better performance than others. The rainfall microphysical analysis presented in this study is expected to facilitate the development of a high-resolution X-band radar network for urban QPE applications. View Full-Text
Keywords: Northern China; raindrop size distribution (DSD); microphysical processes; quantitative precipitation estimation (QPE) Northern China; raindrop size distribution (DSD); microphysical processes; quantitative precipitation estimation (QPE)
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MDPI and ACS Style

Ji, L.; Chen, H.; Li, L.; Chen, B.; Xiao, X.; Chen, M.; Zhang, G. Raindrop Size Distributions and Rain Characteristics Observed by a PARSIVEL Disdrometer in Beijing, Northern China. Remote Sens. 2019, 11, 1479. https://doi.org/10.3390/rs11121479

AMA Style

Ji L, Chen H, Li L, Chen B, Xiao X, Chen M, Zhang G. Raindrop Size Distributions and Rain Characteristics Observed by a PARSIVEL Disdrometer in Beijing, Northern China. Remote Sensing. 2019; 11(12):1479. https://doi.org/10.3390/rs11121479

Chicago/Turabian Style

Ji, Lei, Haonan Chen, Lin Li, Baojun Chen, Xian Xiao, Min Chen, and Guifu Zhang. 2019. "Raindrop Size Distributions and Rain Characteristics Observed by a PARSIVEL Disdrometer in Beijing, Northern China" Remote Sensing 11, no. 12: 1479. https://doi.org/10.3390/rs11121479

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