State Key Laboratory of Severe Weather Meteorological Science and Technology · CAMS (灾害天气科学与技术全国重点实验室)

Ground-based Lidar,
Aerosol & Cloud Detection

Pioneering ground-based active remote sensing & in-situ sampling. We develop cutting-edge lidar systems, side-scattering techniques, and millimeter radar algorithms to decipher aerosol hygroscopicity and cloud microphysical processes. 致力于地基主动遥感与原位探测，聚焦气溶胶激光雷达、侧向散射技术、毫米波云雷达反演及云微物理过程研究。

Explore Research / 探索研究 Prospective Students / 招生招聘

Dr. Yuxuan Bian (边宇轩)

Research Professor · PI / 研究员 · 硕士生导师

Chinese Academy of Meteorological Sciences

1,100+

Citations (H=18)

30+

Journal Papers

Authorized Patents

NSFC

Principal Investigator

Connect & Track / 学术链接

Academic Profiles

ResearchGate

Full-text articles, preprints, research updates & lab project interactions. (学术社交与全文分享)

View Profile →

导师主页 (CAMS)

中国气象科学研究院研究生院官方导师简介与招生方向。

Official Page →

ORCiD

Verified persistent digital identifier & comprehensive publication records. (学术身份认证)

0000-0002-5846-417X →

Google Scholar

Citation tracking, H-index metrics, co-authorship networks, and bibliometrics. (谷歌学术)

View Citations →

Currently Recruiting Master's Students / 正在招收硕士研究生

Join the GLAD Research Group / 加入 GLAD 课题组

We are continuously looking for self-motivated Master's students and visiting scholars with backgrounds in Atmospheric Physics, Atmospheric Remote Sensing, Optics, or Data Science. 常年招收具有大气物理、大气遥感、光学或数据科学背景的硕士研究生、访问学者。

Application Inquiries / 申请咨询 Beijing, China / 北京

Please send your CV, transcripts, and a brief description of your research interests directly to: 请将个人简历、成绩单及研究兴趣简述发送至邮箱：

bianyx@pku.edu.cn Send Email / 发送邮件 →

Scientific Focus / 研究方向

Core Research Pillars / 核心研究领域

Novel Lidar & CLADS Instrumentation / 新型激光雷达与CLADS系统研发

Development of innovative side-scattering lidar (CLADS), Raman scattering, and polarization detection systems for high-resolution near-surface profiling. 研发创新型侧向散射激光雷达（CLADS）、拉曼散射及偏振探测系统，实现近地层高分辨率垂直廓线探测。

Hardware & System Design Active Probing

Aerosol Hygroscopicity & Optics / 气溶胶光学与吸湿特性

Investigating aerosol optical properties, phase function measurements, and nocturnal hygroscopic growth mechanisms during heavy haze and radiation fog events. 研究气溶胶光学特性、散射相函数测量及重污染与辐射雾过程中的夜间吸湿增长机制。

In-situ & Optical Modeling Microphysics

Cloud Radar & Phase Classification / 云雷达协同与相态分类

Synergizing ground-based polarization lidar and Ka-band millimeter cloud radar for vertical cloud phase (liquid, mixed, ice) classification and profile retrieval. 协同地基偏振激光雷达与 Ka 波段毫米波云雷达，开展垂直云相态（液相、混合相、冰相）分类与廓线反演。

Synergy Algorithms Radar / Lidar

Disaster Weather & Aerosol-Cloud Interactions / 灾害天气与气溶胶-云相互作用

Studying aerosol-cloud-precipitation interactions, ice-nucleating particles (INPs), and rapid monitoring of disaster convective systems across complex terrains. 研究气溶胶-云-降水相互作用、冰核粒子（INPs）以及复杂地形下灾害性对流系统的快速监测。

Field Observations Severe Weather

Field Deployments / 外场观测

Field Campaigns & Stations / 观测试验与站点

Extensive observational campaigns conducted from the North China Plain to the Third Pole (Tibetan Plateau). 长期在华北平原及青藏高原第三极开展外场观测试验。

North China Plain / 华北平原

Gucheng Observation Station / 固城国家气象观测站

Deployment of multi-wavelength CLADS and in-situ aerosol instrumentation to study radiation fog and nocturnal boundary layer evolution. 部署多波长CLADS及原位气溶胶仪器，研究辐射雾与夜间边界层演变。

Fog & Haze Evolution

Tibetan Plateau / 青藏高原

Nagqu Plateau Cloud Experiment / 那曲高原云物理观测试验

Ground-based polarization lidar and millimeter cloud radar synergy for plateau cloud phase structure and supercooled liquid water characterization. 利用地基偏振激光雷达与毫米波云雷达协同观测，表征高原云相态结构与过冷水特征。

Cloud Microphysics

Guangxi & Complex Terrain / 广西及复杂地形

Disaster Weather Monitoring / 灾害天气综合立体监测

Multi-source observation fusion targeting heavy precipitation, severe convective triggers, and vertical aerosol-cloud profiling. 面向强降水、强对流触发机制及垂直气溶胶-云廓线的多源观测融合。

Multi-Sensor Fusion

Scientific Output / 科研成果

Selected Publications / 代表性论文

ORCiD Profile → / ResearchGate →

Review 2024 Curr Pollution Rep

Enhancing Our Vision of Aerosols: Progress in Scattering Phase Function Measurements

Comprehensive review on aerosol scattering phase function measurement techniques, imaging detection applications, and physical property retrieval algorithms.

DOI: 10.1007/s40726-024-00292-z

IEEE TGRS 2023 IEEE Trans. Geosci. Remote Sensing

Classification of Cloud Phase Using Combined Ground-Based Polarization Lidar and Millimeter Cloud Radar Observations Over the Tibetan Plateau

Retrieval algorithms combining polarization lidar & MMCR to characterize cloud phase distributions and supercooled water occurrence frequencies over Nagqu.

DOI: 10.1109/TGRS.2023.3313798

RSE 2018 Remote Sensing of Environment

A novel method to retrieve the nocturnal boundary layer structure based on CCD laser aerosol detection system measurements

Bian, Y., Zhao, C., Xu, W., Kuang, Y., Tao, J., Wei, W., Ma, N., Zhao, G., Lian, S., Tan, W., and Barnes, J. E. (2018). Remote Sensing of Environment, 211, 38–47.

DOI: 10.1016/j.rse.2018.04.007

Lab Members / 课题组成员

在读研究生 · Graduate Students

Dedicated graduate students conducting research in atmospheric detection, lidar remote sensing, and cloud physics. 开展大气探测、激光雷达遥感与云物理学研究的优秀研究生。

袁

袁辉龙 · Huilong Yuan

硕士二年级 · M.S. (2nd Year)

Research Focus: Lidar & Atmospheric Remote Sensing

沈

沈卓萱 · Zhuoxuan Shen

硕士一年级 · M.S. (1st Year)

Research Focus: Aerosol-Cloud Observation & Analysis

Ground-based Lidar, Aerosol & Cloud Detection