G
GLAD Dr. Yuxuan Bian Lab
Contact
State Key Laboratory of Severe Weather · CAMS

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.

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Dr. Yuxuan Bian

Dr. Yuxuan Bian

Research Professor · PI

Chinese Academy of Met. Sciences

1,100+
Citations (H=18)
30+
Journal Papers
4
Authorized Patents
NSFC
Principal Investigator

Scientific Focus

Core Research Pillars

Novel Lidar & CLADS Instrumentation

Development of innovative side-scattering lidar (CLADS), Raman scattering, and polarization detection systems for high-resolution near-surface profiling.

Hardware & System Design Active Probing

Aerosol Hygroscopicity & Optics

Investigating aerosol optical properties, phase function measurements, and nocturnal hygroscopic growth mechanisms during heavy haze and radiation fog events.

In-situ & Optical Modeling Microphysics

Cloud Radar & Phase Classification

Synergizing ground-based polarization lidar and Ka-band millimeter cloud radar for vertical cloud phase (liquid, mixed, ice) classification and profile retrieval.

Synergy Algorithms Radar / Lidar

Disaster Weather & Aerosol-Cloud Interactions

Studying aerosol-cloud-precipitation interactions, ice-nucleating particles (INPs), and rapid monitoring of disaster convective systems across complex terrains.

Field Observations Severe Weather

Field Deployments

Field Campaigns & Stations

Extensive observational campaigns conducted from the North China Plain to the Third Pole (Tibetan Plateau).

Gucheng Observation Station
North China Plain

Gucheng Observation Station

Deployment of multi-wavelength CLADS and in-situ aerosol instrumentation to study radiation fog and nocturnal boundary layer evolution.

Fog & Haze Evolution
Tibetan Plateau

Nagqu Plateau Cloud Experiment

Ground-based polarization lidar and millimeter cloud radar synergy for plateau cloud phase structure and supercooled liquid water characterization.

Cloud Microphysics
Guangxi & Complex Terrain

Disaster Weather Monitoring

Multi-source observation fusion targeting heavy precipitation, severe convective triggers, and vertical aerosol-cloud profiling.

Multi-Sensor Fusion

Scientific Output

Selected Publications

Google Scholar Profile →
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
Optics 2023–2026 Acta Optica Sinica / Remote Sensing

Dual-Wavelength Side-Scattering Lidar (CLADS) for High-Resolution Near-Surface Aerosol & Cloud Profiling

Exploration of near-surface Ångström exponent peaks and water cloud profile retrievals using side-scattered geometries and radar-lidar joint constraints.

Currently Recruiting Graduate Students

Join the GLAD Research Group

We are continuously looking for self-motivated Master's students, visiting scholars, and research assistants with backgrounds in Atmospheric Physics, Atmospheric Remote Sensing, Optics, or Data Science.

Application Inquiries Beijing, China

Please send your CV, transcripts, and a brief description of your research interests directly to:

bianyx@pku.edu.cn Send Email →