

Connecting atmospheric chemistry with clean air and a climate-ready future
The Atmospheric Chemistry and Earth System Modeling Group conducts numerical modeling research on scientific issues relevant to air pollution, greenhouse gases, climate change, and Earth system evolution.
Research
The group centers on atmospheric chemistry and its interaction with climate, combining observations, satellite retrievals, emission inventories, numerical models, and machine learning to support clean air, greenhouse gas mitigation, and climate action.


Greenhouse Gas Budget Inversion and Attribution

Climate-Chemistry-Ecosystem-Energy Interactions

Earth System Models and AI-Enabled Development
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Team
From postdocs to students, team members jointly advance research on air quality, greenhouse gases, and atmospheric chemistry modeling.

Xiao Lu
Professor and PhD Supervisor, School of Atmospheric Sciences, Sun Yat-sen University

2026, Congratulations on your graduation!

2026, Congratulations on your graduation!

2025, Congratulations on your graduation!

2025, Congratulations on your graduation!

The team traveled together to Nanjing to attend the academic conference.

Sun Yat-sen University, Centennial Anniversary

Congratulations on your 2023 graduation!

Congratulations on your 2023 graduation!

Congratulations on your graduation in 2022!

Congratulations on your graduation in 2022!

Congratulations on your graduation in 2022!

2026, Congratulations on your graduation!

2026, Congratulations on your graduation!

2025, Congratulations on your graduation!

2025, Congratulations on your graduation!

The team traveled together to Nanjing to attend the academic conference.

Sun Yat-sen University, Centennial Anniversary

Congratulations on your 2023 graduation!

Congratulations on your 2023 graduation!

Congratulations on your graduation in 2022!

Congratulations on your graduation in 2022!

Congratulations on your graduation in 2022!
News Updates
This page records the research group’s publications, personnel updates, and research activities.

Decoding the interdecadal trend of urban ozone from historical records since 1980 | NSR
《国家科学评论》在线发表中山大学卢骁副教授、范绍佳教授和北京大学张远航院士等与国内外多个团队的合作研究成果。


Expert Opinion | Xiao Lu: Inverting Greenhouse Gas Emissions at Different Scales Using Ground- and Satellite-Based Observations
清华大学碳中和研究院Institute for Carbon Neutrality, ICON

Associate Professor Xiao Lu’s research group at Sun Yat-sen University publishes a study in Environmental Science & Technology: Soil reactive nitrogen emissions accelerate summer ozone increase over the North China Plain
第一作者:谭婉珊\x0d\x0a通讯作者:卢骁 副教授\x0d\x0a论文DOI: 10.1021/acs.est.3c01823\x0d\x0a图文摘要\x0d\x0a成

Research Updates | Our laboratory’s innovation team reveals the evolution and regulatory mechanisms of global nighttime atmospheric oxidation capacity
Summary pending review from source article.
Representative outputs
View the latest representative papers published by our team in various research directions.
Featured
our teamObservation-derived 2010-2019 trends in methane emissions and intensities from US oil and gas fields tied to activity metrics
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our teamIncreased night-time oxidation over China despite widespread decrease across the globe
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our teamThe underappreciated role of agricultural soil nitrogen oxide emissions in ozone pollution regulation in North China
Representative work for Natural and Anthropogenic Sources and Chemical Transformation.
Featured
our teamDeciphering decadal urban ozone trends from historical records since 1980
Representative work for Trends in Air Pollutants and Atmospheric Oxidation.
Featured
Latest
our teamSubstantial reduction of solar photovoltaic potential in China by an extreme dust event
Representative work for Feedbacks of Atmospheric Constituents on Climate, Vegetation Carbon Cycling, and Energy.
Featured
Latest
our teamTropospheric ozone trends and attributions over East and Southeast Asia in 1995–2019: an integrated assessment using statistical methods, machine learning models, and multiple chemical transport models
Featured
our teamRevisiting the quantification of power plant CO2 emissions in the United States and China from satellite: A comparative study using three top-down approaches
Featured
our teamGlobal methane budget and trend, 2010–2017: complementarity of inverse analyses using in situ (GLOBALVIEWplus CH4 ObsPack) and satellite (GOSAT) observations
Representative work for Global Methane Budget Inversion and Attribution.