风廓线雷达在一次辐射雾天气中的应用

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Abstract The article uses fixed boundary layer wind profile radar horizontal wind field data,ground meteorological observation temperature,dew point temperature,10 minute average visibility,and sounding observation data from a radiation fog weather process in Weining to analyze the correspondence between the spatiotemporal distribution of wind fields and the generation and dissipation of radiation fog.The results indicate that there is a good correlation between the horizontal wind field changes below the friction layer and the generation and dissipation of radiation fog when environmental conditions such as temperature,humidity,and sky conditions are met.When the wind above the boundary layer weakens to 8-12 m·s^-1 with good consistency,and the wind direction consistency in the near surface layer deteriorates while the wind speed remains unchanged,corresponding to the development of radiation fog.When the near surface wind direction becomes consistent again,it corresponds to the early stage of maturity.The wind speed below the friction layer continues to weaken to 1-4 m·s^-1,and there is a wind direction transition from the boundary layer to the friction layer.When the near surface wind direction is consistent,it corresponds to the late stage of maturity.The consistency of wind direction below the boundary layer is poor,and when calm winds are maintained,the corresponding radiation fog dissipates.

Key words： radiation fog fixed boundary layer wind profiler radar wind speed distribution wind shear

Received: 27 February 2024

ZTFLH:

P412.25

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	Articles by authors
	Lv Jing
	Ke Liping
	Yuan Haixiang
	Cai Tong
	Yu Zezhi

Cite this article:

Lv Jing,Ke Liping,Yuan Haixiang等. Application of wind profile radar in a radiation fog weather[J]. Meteorological Hydrological and Marine Instrument, 2024, 41(6): 106-110.

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http://www.qxswhy.com/EN/ OR http://www.qxswhy.com/EN/Y2024/V41/I6/106

[1]	曾妮,方鹏,蒙军,等.1981—2020年安顺市大雾天气的气候特征分析[J].中低纬山地气象,2023,47 (1):70-74.
[2]	林建,杨贵名,毛冬艳.我国大雾的时空分布特征及其发生的环流形势[J].气候与环境研究,2008(2):171-181.
[3]	莫火娇,林颖仪,李蕾,等.广宁一次典型辐射雾特征分析[J].广东气象,2020,42(6):20-24.
[4]	王兴菊,吴哲红,陈贞宏.贵州省两次大雾过程的对比分析[J].贵州气象,2014,38(4):17-21.
[5]	濮梅娟,马明明,张雪蓉,等.江苏连续三次区域性浓雾形成过程的机理分析[J].气象科学,2018,38 (2):139-148.
[6]	李子华,刘端阳,杨军.辐射雾雾滴谱拓宽的微物理过程和宏观条件[J].大气科学,2011,35(1):41-54.
[7]	ELDRIDGEE R G.1961.A few fog drop-size distributions[J].Journal of meteorology,1961,18(5):671-676.
[8]	陆春松,牛生杰,杨军,等.南京冬季一次雾过程宏微观结构的突变特征及成因分析[J].大气科学,2010,34(4):681-690.
[9]	苟阿宁,吴翠红,王玉娟,等. 基于风廓线雷达的湖北梅雨期暴雨中小尺度特征[J]. 干旱气象,2022,40(1):84-94.
[10]	孙贞,徐天洋,黄树华.山东半岛一次冰雹天气的雷达特征分析[J].中国海洋大学学报(自然科学版),2022,52(10):15-25.
[11]	严嘉明,赵兵科,张帅,等.边界层风廓线雷达对登陆台风观测适用性评估[J].应用气象学报,2021,32(3):332-346.
[12]	花丛,刘超,张恒德.风廓线雷达资料在北京秋季雾霾天气过程分析中的应用[J].气象科技,2017,45(5):870-875.
[13]	余佳.风廓线雷达在辐射雾过程中的应用[J].河南科技,2021,40(24):19-22.
[14]	胡跃文,秦杰,苏静文,等.2016—2017 年贵州大雾时空分布及气象要素演变分析[J].气象,2019,45(5):659-666.
[15]	许爱华,陈翔翔,肖安,等.江西省区域性平流雾气象要素特征分析及预报思路[J]. 气象,2016,42 (3):372-381.