Turbulence and Rainfall Microphysical Parameters Retrieval and Their Relationship Analysis Based on Wind Profiler Radar Data

被引:4
|
作者
Hu Su-man [1 ]
Huang Xing-you [1 ]
Ma Yu-rong [1 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Nanjing 210044, Peoples R China
基金
国家重点研发计划;
关键词
turbulent dissipation rate; rainfall microphysical parameters; wind profiler radar; spectrum width; collision coalescence; breakup; retrieval; RAINDROP SIZE DISTRIBUTION; DOPPLER RADAR; STATISTICAL CHARACTERISTICS; DISSIPATION RATES; BOUNDARY-LAYER; AIR TURBULENCE; PRECIPITATION; WIDTH; STRATIFORM; VELOCITIES;
D O I
10.46267/j.1006-8775.2021.026
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Rainfall is triggered and mainly dominated by atmospheric thertno-dynatnics and rich water vapor. Nonetheless, turbulence is also considered as an important factor influencing the evolution of rainfall microphysical parameters. To study such an influence, the present study utilized boundary layer wind profiler radar measurements. The separation point of the radar power spectral density data was carefully selected to classify rainfall and turbulence signals; the turbulent dissipation rate e and rainfall microphysical parameters can be retrieved to analyze the relationship between and microphysical parameters. According to the retrievals of two rainfall periods in Beijing 2016, it was observed that (I) 8 in the precipitation area ranged from 10(-3.5) to 10(-1) m(2) s(-3) and was positively correlated with the falling velocity spectrum width; (2) interactions between turbulence and raindrops showed that small raindrops got enlarge through collision and coalescence in weak turbulence, but large raindrops broke up into small drops under strong turbulence, and the separation value of 8. being weak or strong varied with rainfall attributes; (3) the variation of rainfall microphysical parameters (characteristic diameters, number concentration, rainfall intensity, and water content) in the middle stage were stronger than those in the early and the later stages of rainfall event; (4) unlike the obvious impacts on raindrop size and number concentration, turbulence impacts on rain rate and LWC were not significant because turbulence did not cause too much water vapor and heat exchange.
引用
收藏
页码:291 / 302
页数:12
相关论文
共 50 条
  • [41] A Satellite-Based Estimate of Convective Vertical Velocity and Convective Mass Flux: Global Survey and Comparison With Radar Wind Profiler Observations
    Jeyaratnam, Jeyavinoth
    Luo, Zhengzhao Johnny
    Giangrande, Scott E.
    Wang, Die
    Masunaga, Hirohiko
    GEOPHYSICAL RESEARCH LETTERS, 2021, 48 (01)
  • [42] Comparing Approaches to Deal With Non-Gaussianity of Rainfall Data in Kriging-Based Radar-Gauge Rainfall Merging
    Cecinati, F.
    Wani, O.
    Rico-Ramirez, M. A.
    WATER RESOURCES RESEARCH, 2017, 53 (11) : 8999 - 9018
  • [43] Aerosol Microphysical Particle Parameter Inversion and Error Analysis Based on Remote Sensing Data
    Di, Huige
    Wang, Qiyu
    Hua, Hangbo
    Li, Siwen
    Yan, Qing
    Liu, Jingjing
    Song, Yuehui
    Hua, Dengxin
    REMOTE SENSING, 2018, 10 (11):
  • [44] Flash flood forecasting using Data-Based Mechanistic models and radar rainfall forecasts
    Smith, Paul J.
    Beven, Keith
    Panziera, Luca
    Germann, Urs
    WEATHER RADAR AND HYDROLOGY, 2012, 351 : 562 - +
  • [45] Study of wind fields associated with subtropical squall lines using Envisat Synthetic Aperture Radar images and ground-based weather radar data
    Chan, Pak Wai
    Cheng, Cho Ming
    Alpers, W.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2010, 31 (17-18) : 4897 - 4914
  • [46] Establishment of a multiple-Doppler radar wind retrieval system and its application to the analysis of mesoscale convective systems
    Seon-Yong Lee
    Hye-Yeong Chun
    Young-Jean Choi
    Asia-Pacific Journal of Atmospheric Sciences, 2012, 48 : 369 - 390
  • [47] Evaluation of WRF Cloud Microphysics Schemes in Explicit Simulations of Tropical Cyclone 'Fani' Using Wind Profiler Radar and Multi-Satellite Data Products
    Mohan, P. Reshmi
    Srinivas, C. Venkata
    Yesubabu, V.
    Rao, T. Narayana
    Venkatraman, B.
    PURE AND APPLIED GEOPHYSICS, 2024, 181 (07) : 2317 - 2341
  • [48] Application of wind-profiling radar data to the analysis of dust weather in the Taklimakan Desert
    Wang, Minzhong
    Wei, Wenshou
    Ruan, Zheng
    He, Qing
    Ge, Runsheng
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2013, 185 (06) : 4819 - 4834
  • [49] Retrieval of three-dimensional wind fields from Doppler radar data using an efficient two-step approach
    Carrillo, C. Lopez
    Raymond, D. J.
    ATMOSPHERIC MEASUREMENT TECHNIQUES, 2011, 4 (12) : 2717 - 2733
  • [50] A Method for Estimating Ship Surface Wind Parameters by Combining Anemometer and X-Band Marine Radar Data
    Zhang, Yuying
    Lu, Zhizhong
    Tian, Congying
    Wei, Yanbo
    Liu, Fanming
    REMOTE SENSING, 2023, 15 (22)