Investigating Wind Characteristics and Temporal Variations in the Lower Troposphere over the Northeastern Qinghai–Tibet Plateau Using a Doppler LiDAR

Author:

Zheng Jiafeng12ORCID,Liu Yihua1,Peng Tingwei1,Wan Xia3ORCID,Huang Xuan24,Wang Yuqi1,Che Yuzhang1,Xu Dongbei12

Affiliation:

1. Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China

2. China Meteorological Administration Key Laboratory for Aviation Meteorology, Beijing 100081, China

3. Hubei Key Laboratory for Heavy Rain Monitoring and Warning Research, Institute of Heavy Rain, China Meteorological Administration, Wuhan 430205, China

4. Qinghai Sub-Bureau of Civil Aviation Administration of China, Northwest Region Air Traffic Management Bureau, Xining 810000, China

Abstract

Knowledge of wind field characteristics and variation principles in complex topographical regions is of great importance for the development of numerical prediction models, aviation safety support, and wind energy utilization. However, there has been limited research focused on the lower-tropospheric wind fields in the Qinghai-Tibet Plateau. This paper aims to study the wind characteristics, vertical distributions, and temporal variations in the northeast of the plateau by analyzing a four-year continuous dataset collected from a Doppler wind LiDAR deployed in Xining, Qinghai Province of China. The results indicate that the prevailing horizontal wind direction in the low levels is primarily influenced by the mountain-valley wind circulation. However, as the altitude increases, the prevailing winds are predominantly affected by the westerlies. From a diurnal perspective, noticeable transition processes between up-valley and down-valley winds can be observed. The west-northwest wind (down-valley wind) dominates from late night to morning, while the east-southeast wind (up-valley wind) prevails from afternoon to early evening. The vertical winds in the low levels exhibit a downward motion during the daytime and an upward motion during the nighttime. In this plateau valley, the wind shear exponent is found to be highest in spring and lowest in winter, and it is generally lower during the daytime compared to the nighttime.

Funder

National Key Research and Development Program of China

Open Foundation of the China Meteorological Administration Key Laboratory for Aviation Meteorology

Innovation Ability Promotion Plan Project of Chengdu University of Information Science and Technology

Publisher

MDPI AG

Reference70 articles.

1. García-Gutiérrez, A., Domínguez, D., López, D., and Gonzalo, J. (2021). Atmospheric boundary layer wind profile estimation using neural networks applied to Lidar measurements. Sensors, 21.

2. Impact of Lidar data assimilation on planetary boundary layer wind and PM2.5 prediction in Taiwan;Yang;Atmos. Environ.,2022

3. Analysis on atmospheric boundary layer and regional transport during PM2.5 Pollution episodes in Fuzhou;Jiang;Chin. Environ. Sci.,2015

4. Potential and challenges of wind measurements using met-masts in complex topography for bridge design: Part II-Spectral flow characteristics;Midjiyawa;J. Wind Eng. Ind. Aerod.,2021

5. The UHF wind profiler at Vienna airport-data quality control and comparisons to Rawinsonde data;Meteorol. Atmos. Phys.,2004

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3