GLAD | Ground-based Lidar, Aerosol & Cloud Detection - Dr. Yuxuan Bian Lab (边宇轩研究员课题组)

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 →

What you'll actually do here / 进来之后你会做什么

Four threads run through every project in the group. / 组内每个课题都绕不开这四件事。

01 · Instrument / 仪器

Assemble, align, and troubleshoot lidar optics — from bench to field shelter. 参与激光雷达光路的搭建、调校与排障，从实验台到外场方舱。

02 · Data / 数据

Turn raw signals into profiles and statistics with quality-control and retrieval pipelines. 用数据质控/反演流程把原始信号变成廓线与统计结果。

03 · Fieldwork / 外场

Join campaigns for fog seasons on the North China Plain and cloud experiments on the plateau. 参加华北雾季与高原云物理等外场观测试验。

04 · Writing / 写作

Write papers, present at conferences, and learn to defend your ideas. 撰写论文、参加会议报告，学习为自己的观点辩护。

Frequently asked / 常见问答

What backgrounds fit the group? / 什么专业背景适合？

Atmospheric, environmental, remote sensing, optics, electronics, or data science — motivation and willingness to learn matter more than the exact major name. 大气、环境、遥感、光学、电子或数据科学均可；动力与学习意愿比专业名称更重要。

Recommendation (baoyan) or entrance exam (kaoyan)? / 保研还是考研？

Both routes are welcome; admission follows the CAMS Graduate School announcements, so check the official timeline and contact me early either way. 两条路径都欢迎；录取以研究生院公布为准，建议关注官方时间线并尽早联系。

Should I email before applying? / 需要提前邮件联系吗？

Yes — send your CV, transcripts, and a short statement of interest; I read every serious inquiry carefully and reply as soon as I can. 建议先邮件附简历、成绩单与兴趣简述；我会认真阅读每封来信并尽快回复。

Stipend and support? / 补助与待遇如何？

Stipends follow the top standard of the CAMS Graduate School; fieldwork and conference costs are covered by research projects. 补助参考研究生院最高标准执行；外场与会议费用由课题承担。

English requirements? / 英语要求高吗？

Reading papers and writing in English are part of the daily work; CET-4/6 is a useful baseline and we build the rest together in the group. 读文献与英文写作是日常；四六级是有用的基础，其余在组内共同提高。

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

Namco, Tibet / 西藏纳木错

Namco Night Campaign / 纳木错夜间观测试验

CCD-LADS with O₃ and NO₂ measurements under the plateau night sky; instrument setup and maintenance led by the group. 高原夜空下的 CCD-LADS 与 O₃、NO₂ 观测；仪器架设与维护由课题组负责。

CLADS · Night Observation

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 →

Click any entry to expand the full citation and a one-line summary. Five papers spanning 2014–2024, from aerosol liquid water to cloud-phase classification. 点击任意条目可展开完整引用信息与一句话简介。五篇论文跨越 2014–2024 年，从气溶胶液态水到云相态分类。

2024

Current Pollution Reports · 10(1), 87–104

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

Review / 综述 First author / 第一作者

Bian, Y., & Zhao, C. (2024). Enhancing Our Vision of Aerosols: Progress in Scattering Phase Function Measurements. Current Pollution Reports, 10(1), 87–104.

In one line / 一句话概括

A systematic review of how the aerosol scattering phase function is measured — single-particle imaging, integrating nephelometry, and lidar-based approaches — and how those measurements feed optical-property retrievals. 系统梳理气溶胶散射相函数的测量手段（单粒子成像、积分浊度计、激光雷达等）及其在光学特性反演中的应用。

DOI: 10.1007/s40726-024-00292-z

2023

IEEE Trans. Geosci. Remote Sensing · 61, 1–13

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

Lidar–Radar Synergy / 协同反演 First author / 第一作者

Bian, Y., Liu, L., Zheng, J., Wu, S., & Dai, G. (2023). Classification of Cloud Phase Using Combined Ground-Based Polarization Lidar and Millimeter Cloud Radar Observations Over the Tibetan Plateau. IEEE Transactions on Geoscience and Remote Sensing, 61, 1–13.

In one line / 一句话概括

Combining ground-based polarization lidar with Ka-band millimeter cloud radar to classify cloud phase (liquid, mixed, ice) and characterize supercooled water over Nagqu on the Tibetan Plateau. 联合地基偏振激光雷达与 Ka 波段毫米波云雷达，对青藏高原那曲的云相态（液相、混合相、冰相）进行分类，并刻画过冷水特征。

DOI: 10.1109/TGRS.2023.3313798

2020

Optics Express · 28(5), 6631–6647

Method to retrieve aerosol extinction profiles and aerosol scattering phase functions with a modified CCD laser atmospheric detection system

Instrument & Retrieval / 仪器与反演 First author / 第一作者

Bian, Y., Xu, W., Hu, Y., Tao, J., Kuang, Y., & Zhao, C. (2020). Method to retrieve aerosol extinction profiles and aerosol scattering phase functions with a modified CCD laser atmospheric detection system. Optics Express, 28(5), 6631–6647.

In one line / 一句话概括

Extending the modified CCD laser atmospheric detection system so that a single instrument yields both aerosol extinction profiles and scattering phase functions. 改进 CCD 激光大气探测系统，使同一台仪器能够同时反演气溶胶消光廓线与散射相函数。

DOI: 10.1364/OE.386214

2018

Remote Sensing of Environment · 211, 38–47

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

Boundary Layer / 边界层 First author / 第一作者

Bian, Y., Zhao, C., Xu, W., Kuang, Y., Tao, J., Wei, W., Ma, N., Zhao, G., Lian, S., Tan, W., & Barnes, J. E. (2018). A novel method to retrieve the nocturnal boundary layer structure based on CCD laser aerosol detection system measurements. Remote Sensing of Environment, 211, 38–47.

In one line / 一句话概括

Using CCD-LADS measurements to reconstruct the structure of the nocturnal boundary layer, complementing conventional backscatter lidar over the lowest part of the atmosphere. 基于 CCD-LADS 观测反演夜间边界层结构，弥补常规后向散射激光雷达在近地层探测上的不足。

DOI: 10.1016/j.rse.2018.04.007

2014

Atmospheric Chemistry and Physics · 14(12), 6417–6426

A study of aerosol liquid water content based on hygroscopicity measurements at high relative humidity in the North China Plain

Hygroscopicity / 吸湿性 First author / 第一作者

Bian, Y. X., Zhao, C. S., Ma, N., Chen, J., & Xu, W. Y. (2014). A study of aerosol liquid water content based on hygroscopicity measurements at high relative humidity in the North China Plain. Atmospheric Chemistry and Physics, 14(12), 6417–6426.

In one line / 一句话概括

Constraining aerosol liquid water content over the North China Plain from hygroscopicity measurements made at high relative humidity. 基于高相对湿度条件下的吸湿性观测，估算华北平原气溶胶液态水含量。

DOI: 10.5194/acp-14-6417-2014

展开全部 30 篇期刊论文 / Show all 30 journal articles 2014–2024

Bian, Y. is shown in bold; * indicates corresponding author. Titles link to the DOI. 粗体为 Bian, Y.；* 表示通讯作者；题名链接至 DOI。

2024

Bian, Y., & Zhao, C. Enhancing Our Vision of Aerosols: Progress in Scattering Phase Function Measurements. Current Pollution Reports, 10, 87–104.

2023

Bian, Y., Liu, L., Zheng, J., Wu, S., & Dai, G. Classification of Cloud Phase Using Combined Ground-Based Polarization Lidar and Millimeter Cloud Radar Observations Over the Tibetan Plateau. IEEE Transactions on Geoscience and Remote Sensing, 61, 1–13.
Bian, Y., Hu, Y., Li, M., Li, J., Huang, M., & Ma, X. Hail climatology and its possible attributions in Beijing, China: 1980–2021. Frontiers in Environmental Science, 10, 1097766.
Shi, H., Yang, D., Wang, W., Fu, D., Gao, L., Zhang, J., Hu, B., Shan, Y., Zhang, Y., Bian, Y., Chen, H., & Xia, X. First estimation of high-resolution solar photovoltaic resource maps over China with Fengyun-4A satellite and machine learning. Renewable and Sustainable Energy Reviews, 184, 113549.
Xu, W., Bian, Y., Lin, W., Zhang, Y., Wang, Y., Ma, Z., Zhang, X., Zhang, G., Ye, C., & Xu, X. O₃ and PAN in southern Tibetan Plateau determined by distinct physical and chemical processes. Atmospheric Chemistry and Physics, 23, 7635–7652.

2021

Shi, H., Zhang, J., Zhao, B., Xia, X., Hu, B., Chen, H., Wei, J., Liu, M., Bian, Y., Fu, D., Gu, Y., & Liou, K.-N. Surface Brightening in Eastern and Central China Since the Implementation of the Clean Air Action in 2013: Causes and Implications. Geophysical Research Letters, 48, e2020GL091105.

2020

Bian, Y., Xu, W., Hu, Y., Tao, J., Kuang, Y., & Zhao, C. Method to retrieve aerosol extinction profiles and aerosol scattering phase functions with a modified CCD laser atmospheric detection system. Optics Express, 28, 6631–6647.
Xu, W., Kuang, Y., Bian, Y., Liu, L., Li, F., Wang, Y., Xue, B., Luo, B., Huang, S., Yuan, B., Zhao, P., & Shao, M. Current Challenges in Visibility Improvement in Southern China. Environmental Science & Technology Letters, 7, 395–401.
Wang, Y., Chen, Y., Wu, Z., Shang, D., Bian, Y., Du, Z., Schmitt, S. H., Su, R., Gkatzelis, G. I., Schlag, P., Hohaus, T., Voliotis, A., Lu, K., Zeng, L., Zhao, C., Alfarra, M. R., McFiggans, G., Wiedensohler, A., Kiendler-Scharr, A., Zhang, Y., & Hu, M. Mutual promotion between aerosol particle liquid water and particulate nitrate enhancement leads to severe nitrate-dominated particulate matter pollution and low visibility. Atmospheric Chemistry and Physics, 20, 2161–2175.
Wei, W., Zhang, H., Cai, X., Song, Y., Bian, Y., Xiao, K., & Zhang, H. Influence of Intermittent Turbulence on Air Pollution and Its Dispersion in Winter 2016/2017 over Beijing, China. Journal of Meteorological Research, 34, 176–188.
Xu, W., Kuang, Y., Liang, L., He, Y., Cheng, H., Bian, Y., Tao, J., Zhang, G., Zhao, P., Ma, N., Zhao, H., Zhou, G., Su, H., Cheng, Y., Xu, X., Shao, M., & Sun, Y. Dust-Dominated Coarse Particles as a Medium for Rapid Secondary Organic and Inorganic Aerosol Formation in Highly Polluted Air. Environmental Science & Technology, 54, 15710–15721.

2019

Lian, S., Bian, Y.*, Zhao, G., Li, W., & Zhao, C. Dual CCD detection method to retrieve aerosol extinction coefficient profile. Optics Express, 27, A1529–A1543.
Kuang, Y., Tao, J., Xu, W., Yu, Y., Zhao, G., Shen, C., Bian, Y., & Zhao, C. Calculating ambient aerosol surface area concentrations using aerosol light scattering enhancement measurements. Atmospheric Environment, 216, 116919.
Xu, W., Kuang, Y., Zhao, C., Tao, J., Zhao, G., Bian, Y., Yang, W., Yu, Y., Shen, C., Liang, L., Zhang, G., Lin, W., & Xu, X. NH₃-promoted hydrolysis of NO₂ induces explosive growth in HONO. Atmospheric Chemistry and Physics, 19, 10557–10570.
Hu, Y., Bian, Y.*, Huang, M., & Ma, X. Characteristics of Hailstone Distribution Based on Disaster Information in Beijing from 1981 to 2017. Journal of Applied Meteorological Science, 30, 710–721. （中文）

2018

Bian, Y., Zhao, C., Xu, W., Kuang, Y., Tao, J., Wei, W., Ma, N., Zhao, G., Lian, S., Tan, W., & Barnes, J. E. A novel method to retrieve the nocturnal boundary layer structure based on CCD laser aerosol detection system measurements. Remote Sensing of Environment, 211, 38–47.
Zhang, Y., Du, W., Wang, Y., Wang, Q., Wang, H., Zheng, H., Zhang, F., Shi, H., Bian, Y., Han, Y., Fu, P., Canonaco, F., Prévôt, A. S. H., Zhu, T., Wang, P., Li, Z., & Sun, Y. Aerosol chemistry and particle growth events at an urban downwind site in North China Plain. Atmospheric Chemistry and Physics, 18, 14637–14651.
Zhao, G., Zhao, C., Kuang, Y., Bian, Y., Tao, J., Shen, C., & Yu, Y. Calculating the aerosol asymmetry factor based on measurements from the humidified nephelometer system. Atmospheric Chemistry and Physics, 18, 9049–9060.
Kuang, Y., Zhao, C. S., Zhao, G., Tao, J. C., Xu, W., Ma, N., & Bian, Y. X. A novel method for calculating ambient aerosol liquid water content based on measurements of a humidified nephelometer system. Atmospheric Measurement Techniques, 11, 2967–2982.
Tao, J., Zhao, C., Kuang, Y., Zhao, G., Shen, C., Yu, Y., Bian, Y., & Xu, W. A new method for calculating number concentrations of cloud condensation nuclei based on measurements of a three-wavelength humidified nephelometer system. Atmospheric Measurement Techniques, 11, 895–906.

2017

Bian, Y., Zhao, C., Xu, W., Ma, N., Tao, J., Kuang, Y., Zhao, G., & Liu, H. Method to retrieve the nocturnal aerosol optical depth with a CCD laser aerosol detective system. Optics Letters, 42, 4607–4610.
Bian, Y., Zhao, C., Xu, W., Zhao, G., Tao, J., & Kuang, Y. Development and validation of a CCD-laser aerosol detective system for measuring the ambient aerosol phase function. Atmospheric Measurement Techniques, 10, 2313–2322.
Zhao, G., Zhao, C., Kuang, Y., Tao, J., Tan, W., Bian, Y., Li, J., & Li, C. Impact of aerosol hygroscopic growth on retrieving aerosol extinction coefficient profiles from elastic-backscatter lidar signals. Atmospheric Chemistry and Physics, 17, 12133–12143.
Kuang, Y., Zhao, C., Tao, J., Bian, Y., Ma, N., & Zhao, G. A novel method for deriving the aerosol hygroscopicity parameter based only on measurements from a humidified nephelometer system. Atmospheric Chemistry and Physics, 17, 6651–6662.
Yu, R., Zhao, C., Xue, H., Ma, N., Tao, J., Fu, S., Zhang, J., Kuang, Y., Liu, H., Bian, Y. Simulation of Flow in Continuous-Flow Cloud Condensation Nuclei Counter (DMT-CCNC). Acta Scientiarum Naturalium Universitatis Pekinensis, 53, 817–824. （中文）

2016

Kuang, Y., Zhao, C. S., Ma, N., Liu, H. J., Bian, Y. X., Tao, J. C., & Hu, M. Deliquescent phenomena of ambient aerosols on the North China Plain. Geophysical Research Letters, 43.
Kuang, Y., Zhao, C. S., Tao, J. C., Bian, Y. X., & Ma, N. Impact of aerosol hygroscopic growth on the direct aerosol radiative effect in summer on North China Plain. Atmospheric Environment, 147, 224–233.
Ma, N., Zhao, C., Tao, J., Wu, Z., Kecorius, S., Wang, Z., Größ, J., Liu, H., Bian, Y., Kuang, Y., Teich, M., Spindler, G., Müller, K., van Pinxteren, D., Herrmann, H., Hu, M., & Wiedensohler, A. Variation of CCN activity during new particle formation events in the North China Plain. Atmospheric Chemistry and Physics, 16, 8593–8607.

2014

Bian, Y. X., Zhao, C. S., Ma, N., Chen, J., & Xu, W. Y. A study of aerosol liquid water content based on hygroscopicity measurements at high relative humidity in the North China Plain. Atmospheric Chemistry and Physics, 14, 6417–6426.
Ma, N., Zhao, C., Deng, Z., Tao, J., Yu, R., Chen, J., & Bian, Y. A modified method for calibrating the supersaturations in DMT Cloud Condensation Nuclei Counter. Acta Scientiarum Naturalium Universitatis Pekinensis, 50, 805–811. （中文）

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

硕士三年级 · M.S. (3rd Year)

Research Focus: Lidar & Atmospheric Remote Sensing

沈

沈卓萱 · Zhuoxuan Shen

硕士二年级 · M.S. (2nd Year)

Research Focus: Aerosol-Cloud Observation & Analysis

粟

粟伊玲 · Yiling Su

硕士一年级 · M.S. (1st Year)

Ground-based Lidar,
Aerosol & Cloud Detection

Dr. Yuxuan Bian (边宇轩)

Latest from the Lab / 课题组动态

Connect & Track / 学术链接

ResearchGate

导师主页 (CAMS)

ORCiD

Google Scholar

Join the GLAD Research Group / 加入 GLAD 课题组

What you'll actually do here / 进来之后你会做什么

Frequently asked / 常见问答

Scientific Focus / 研究方向

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

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

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

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

Field Deployments / 外场观测

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

Namco Night Campaign / 纳木错夜间观测试验

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

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

Scientific Output / 科研成果

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

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

Method to retrieve aerosol extinction profiles and aerosol scattering phase functions with a modified CCD laser atmospheric detection system

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

A study of aerosol liquid water content based on hygroscopicity measurements at high relative humidity in the North China Plain

2024

2023

2021

2020

2019

2018

2017

2016

2014

Lab Members / 课题组成员

袁辉龙 · Huilong Yuan

沈卓萱 · Zhuoxuan Shen

粟伊玲 · Yiling Su