A5056359739- Atmospheric chemistry and aerosols
- Air Quality and Health Impacts
- Air Quality Monitoring and Forecasting
- Atmospheric aerosols and clouds
- Climate variability and models
- Meteorological Phenomena and Simulations
- Tropical and Extratropical Cyclones Research
- Atmospheric and Environmental Gas Dynamics
- Wastewater Treatment and Nitrogen Removal
- Wind and Air Flow Studies
- Analytical chemistry methods development
- Arsenic contamination and mitigation
- Heavy metals in environment
- Climate Change Policy and Economics
- Iron oxide chemistry and applications
- Climate Change and Health Impacts
- Atmospheric Ozone and Climate
- Adsorption and biosorption for pollutant removal
South China University of Technology
2025
China Meteorological Administration
2025
Tsinghua University
2019-2023
Institute of Atmospheric Physics
2023
Chinese Academy of Sciences
2023
Chinese Academy of Meteorological Sciences
2019-2021
Texas A&M University
2017
Nanjing University of Information Science and Technology
2014
Nanjing University
2014
Chinese Research Academy of Environmental Sciences
2010
In response to the severe air pollution issue, Chinese government implemented two phases (Phase I, 2013–2017; Phase II, 2018–2020) of clean actions since 2013, resulting in a significant decline fine particles (PM2.5) during 2013–2020, while warm-season (April–September) mean maximum daily 8 h average ozone (MDA8 O3) increased by 2.6 μg m–3 yr–1 China same period. Here, we derived drivers behind rising O3 concentrations using bottom-up emission inventory, regional chemical transport model,...
Abstract The 2015 Paris Agreement aims to limit global warming below 2 °C and pursue efforts even it 1.5 relative pre-industrial levels. Decision makers need reliable information on the impacts caused by these levels for climate mitigation adaptation measures. We explore changes in extremes, which are closely tied economic losses casualties, under their scenario dependence using three sets of ensemble model simulations. A 0.5 (from °C) leads significant increases temperature precipitation...
Abstract. Fine particulate matter (PM2.5) has altered the radiation balance on Earth and raised environmental health risks for decades but only been monitored widely since 2013 in China. Historical long-term PM2.5 records with high temporal resolution are essential lacking both research management. Here, we reconstruct a site-based dataset at 6 h intervals from 1960 to 2020 that combines visibility, conventional meteorological observations, emissions, elevation. The concentration each site...
Calculating carbon footprints can aid in clarifying the emission reduction responsibilities various regions. Using an input–output model and high-precision top-down inventory provided by China Carbon Monitoring, Verification, Support System for Regional (CCMVS-R), footprint size transfer direction were estimated. From a production responsibility perspective, Shandong, Hebei, Inner Mongolia presented greatest footprints, while distribution of electric power heat constituted sector with...
Based on the final analyses data (FNL) of Global Forecasting System National Centers for Environment Prediction (NCEP) and radiosonde over Tibetan Plateau, evolutions two types Plateau vortices, moving-off plateau (Type A) dying-out B), are investigated respectively. Compared to Type B large-scale circulations associated with A vortices show stronger ridge north deeper trough near Bay Bengal at 500 hPa, southwesterly flow from northwesterly converge more intensively east vortices. Meanwhile,...
In winter, heavy aerosol pollution episodes (HPEs) occur frequently on the North China Plain (NCP) under unfavorable meteorological conditions. After with fine particles less than 2.5 μm (PM2.5) accumulates to a certain extent in Beijing and its vicinity (BIV), boundary-layer (BL) conditions worsen due radiative cooling effects of aerosols, which further facilitate PM2.5 accumulation. This "two-way feedback mechanism" between metrological cumulative PM2.5, particularly explosive growth mass...
Focusing on the key air pollution regions in China by using hourly automatic weather data, ground-based and high-altitude meteorological sounding near-surface O 3 monitoring here, we try to quantify relationship between boundary layer condition concentrations. The element includes changes solar zenith angle, cloud height, atmospheric condensation rate, associated change height. We also better understand mechanisms which conditions affect concentrations, it is found that exponential increase...
Today, among the existing numerical weather prediction models, those detailing target classifications have been sufficiently explored; however, there are still many forecasting goals and needs, research from theoretical to practical methods needs additional study. For example, it is important know as early possible (months years in advance) forecast during a “specific large public event,” such hourly for Olympic Games. This study elaborates on theory ultra-early of severe transient processes...
本文以GFS资料为初始场，利用WRF（v3.6.1）模式对2015年第22号台风“彩虹”进行了数值研究。采用CMA（中国气象局）台风最佳路径、MTSAT卫星、自动站降水为观测资料，对比了4个微物理方案（Lin、WSM6、GCE和Morrison）对“彩虹”台风路径、强度、结构、降水的模拟性能。模拟发现上述4个云微物理方案都能较好地模拟出“彩虹”台风西行登陆过程，但是其模拟的台风强度、结构及降水存在较大差异；就水成物而言，除GCE方案对雨水的模拟偏高以外，其他方案对云水、雨水过程的模拟较为接近，其差异主要存在于云冰、雪、霰粒子的模拟上。本文对比分析了WSM6和Morrison两个方案模拟的云微物理过程，发现WSM6方案模拟的雪和霰粒子融化过程显著强于Morrison方案，但是冰相粒子间转化过程的强度明显弱于Morrison方案。云微物理过程的热量收支分析表明：WSM6方案模拟的眼区潜热更强，暖心结构更为显著，台风中心气压更低。细致的云微物理转化分析表明，此次台风降水的主要云微物理过程是水汽凝结成云水和凝华为云冰；生成的云水一方面被雨水收集碰并直接转化为雨水，另一方面先被雪粒子碰并收...
Abstract. Fine particulate matter (PM2.5) has altered radiation balance on earth and raised environmental health risks for decades, but only been monitored widely since 2013 in China. Historical long-term PM2.5 records with high temporal resolution are essential lacking both research management. Here, we reconstruct a site-based dataset at 6-hour intervals from 1960 to 2020 that combines visibility, conventional meteorological observations, emissions, elevation. The concentration each site...
In response to the severe air pollution issue, Chinese government implemented two phases (Phase I: 2013-2017, Phase II: 2018-2020) of clean actions since 2013, resulting in a significant decline fine particles (PM2.5) during 2013-2020, while maximum daily 8 h average ozone (MDA8 O3) increased by 2.6 μg m-3 yr-1 same period. Here, we derived drivers behind rising O3 concentrations using bottom-up emission inventory, regional chemical transport model, and multiple linear regression...
Air pollution is one of the most important environmental problems in China. As a major air pollutant, ozone (O3) will endanger human health and terrestrial ecosystems. It great practical significance to obtain a continuous full-coverage dataset with high spatio-temporal resolution conduct mechanism research from its causes, development, diffusion, impact other aspects. In this study, 3-stage machine learning model was developed through multiple data fusion, LightGBM method used...