南昌市三类降水雨滴谱特征分析

Abstract
Figure/Table
References
Related Citation (15)

Download: HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract In order to gain a deeper understanding the changes of three types of precipitation in Nanchang City,the raindrop spectrum observation data from the Nanchang DSG5 precipitation phenomenon instrument,as well as hourly precipitation data from automatic weather stations and radar echoes were used.Raindrop spectrum data algorithm,radar echo analysis,and gamma function fitting were used to analyze the raindrop spectrum observation data from April to September 2019 in Nanchang City.The results show that the average diameter of precipitation particles in Nanchang City is 0.50.6 mm,with the largest precipitation in cumulus cloud and the smallest precipitation in layer cloud.The magnitude of rain intensity is related to the particle number concentration and average diameter,mainly determined by the particle number concentration.The three types of precipitation,namely cumulative cloud precipitation,layered cloud precipitation,and cumila-tive and layer mixed precipitation,correspond to three types of echo types and echo structures.The proportion of small raindrops exceeds 97%,and regardless of rain intensity or raindrop number concentration,raindrops smaller than 1 mm have the most contribution value.The Gamma distribution curves of the three types of precipitation raindrop spectra are basically consistent,with the cumulus cloud precipitation fitting well in the small raindrop segment,the layer cloud precipitation fitting well in the middle segment,and the fitted values of the entire curve of the cumulative and layer mixed precipitation are close to the true values,indicating the best fitting effect.

Key words： Nanchang three types of precipitation raindrop spectrum data echo characteristics Gamma function

Received: 28 March 2024

ZTFLH:

P426

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Yu Zehua
	Deng Jiafeng
	Su Xiaoping
	Xiong Chu

Cite this article:

Yu Zehua,Deng Jiafeng,Su Xiaoping等. Analysis of raindrop spectrum characteristics of three types of precipitation in Nanchang City[J]. Meteorological Hydrological and Marine Instrument, 2024, 41(3): 26-29.

URL:

http://www.qxswhy.com/EN/ OR http://www.qxswhy.com/EN/Y2024/V41/I3/26

[1]	毛志远,黄光瑞,黄彦彬,等.海南省秋季暴雨过程雨滴谱的特征分析[J].海南大学学报(自然科学版),2020,38(1):59-66.
[2]	庞朝云,李宝梓,张丰伟,等.祁连山北坡一次人工增雨降水过程雨滴谱特征分析[J].气象科技,2021,49(4):621-628.
[3]	苏立娟,李汉超,达布希拉图,等.呼和浩特地区降水雨滴谱特征分析[J].干旱区资源与环境,2019,33(7):122-127.
[4]	张国庆,孙安平,周万福,等.青海门源雨滴谱特征及降水机制的初步分析[J].高原气象,2009,28(1):77-84.
[5]	周黎明,王俊,龚佃利,等.山东三类降水云雨滴谱分布特征的观测研究[J].大气科学学报,2014,37(2):216-222.
[6]	梅海霞,梁信忠,曾明剑,等.20152017年夏季南京雨滴谱特征[J].应用气象学报,2020,31(1):117-128.
[7]	冯婉悦,王智敏,杨莲梅,等.乌鲁木齐两种类型降水的雨滴谱特征[J].沙漠与绿洲气象,2021,15(3):55-61.
[8]	陶涛,张立新,桑建人,等.六盘山区一次非典型冰雹天气过程微物理量特征的分析[J].干旱区地理,2020,43(2):299-307.
[9]	胡沁,曾杨,李毅聪.DSG5型降水现象仪观测资料的对比分析 [J].气象水文海洋仪器,2019,36 (4):12-15.
[10]	骆世娟,苗洁.DSG5型降水现象仪系统结构与维护方法 [J].气象水文海洋仪器,2019,36 (2):110-113.
[11]	韩辉邦,张博越,马守存,等.黄河上游地区降水雨滴谱特征分析[J].沙漠与绿洲气象,2019,13(6):119-125.
[12]	BATTAGLIA A,RUSTEMEIER E,TOKAY A,et al.Parsivel snow observations:a critical assessment[J].Journal of atmospheric,2010,27(2):333-344.
[13]	宫福久,刘吉成,李子华.三类降水云雨滴谱特征研究[J].大气科学,1997(5):96-103.
[14]	史晋森,张武,陈添宇,等.2006年夏季祁连山北坡雨滴谱特征[J].兰州大学学报(自然科学版),2008(4):55-61.
[15]	丁建芳,程博,沙修竹,等.河南省层状云降水雨滴谱特征分析[J].气象与环境科学,2022,45(1):55-64.