A5100333549- Atmospheric chemistry and aerosols
- Air Quality and Health Impacts
- Atmospheric aerosols and clouds
- Meteorological Phenomena and Simulations
- Climate variability and models
- Air Quality Monitoring and Forecasting
- Atmospheric Ozone and Climate
- COVID-19 impact on air quality
- Atmospheric and Environmental Gas Dynamics
- Cryospheric studies and observations
- Tropical and Extratropical Cyclones Research
- Remote Sensing and Land Use
- Precipitation Measurement and Analysis
- Arctic and Antarctic ice dynamics
- Climate Change and Health Impacts
- Flood Risk Assessment and Management
- Hydrological Forecasting Using AI
- Winter Sports Injuries and Performance
- Geology and Paleoclimatology Research
- Climate change and permafrost
- Remote Sensing in Agriculture
- Energy and Environment Impacts
- Landslides and related hazards
- Vehicle emissions and performance
- Hydrology and Watershed Management Studies
China University of Geosciences
2022-2025
Nanjing University of Information Science and Technology
2010-2024
Chinese Academy of Sciences
2016-2024
Central South University
2024
Beijing Academy of Artificial Intelligence
2024
Fudan University
2023-2024
Shanxi Agricultural University
2024
Tianjin Normal University
2019-2024
Sun Yat-sen University
2024
Fifth Affiliated Hospital of Sun Yat-sen University
2024
Stringent clean air actions have been implemented to improve quality in China since 2013. In addition anthropogenic emission abatements, the changes may be modulated also by meteorology. this study, we developed multiple linear regression models quantify meteorological influences on trends fine particulate matter (PM2.5) and ozone (O3) concentrations associated health burden over three polluted regions of China, i.e., North Plain, Yangtze River Delta, Fen-wei Plain during 2014-2018, with a...
Abstract Over the past few years, rapid development of machine learning (ML) models for weather forecasting has led to state-of-the-art ML that have superior performance compared European Centre Medium-Range Weather Forecasts (ECMWF)’s high-resolution forecast (HRES), which is widely considered as world’s best physics-based system. Specifically, outperformed HRES in 10-day forecasts with a spatial resolution 0.25 ∘ . However, challenge remains mitigating accumulation errors longer effective...
We investigated the spatial-temporal characteristics of correlations between observed PM2.5 and O3 over China at a national-scale level, examined underlying reasons for varying PM2.5–O3 by using chemical transport model. The concentrations were positively correlated with most regions seasons China, while negative mainly in northern during winter. strongest positive correlation coefficients (r) larger than +0.7 existed southern July, (r < −0.5) January. It was very interesting phenomenon...
Abstract. Fine-particle pollution associated with haze threatens human health, especially in the North China Plain region, where extremely high PM2.5 concentrations are frequently observed during winter. In this study, Weather Research and Forecasting Chemistry (WRF-Chem) model coupled an improved integrated process analysis scheme was used to investigate formation evolution mechanisms of a event over Beijing–Tianjin–Hebei (BTH) region December 2015; included examination contributions local...
Abstract. A total of 14 chemical transport models (CTMs) participated in the first topic Model Inter-Comparison Study for Asia (MICS-Asia) phase III. These model results are compared with each other and an extensive set measurements, aiming to evaluate current CTMs' ability simulating aerosol concentrations, document similarities differences among performance, reveal characteristics components large cities over East Asia. In general, these CTMs can well reproduce spatial–temporal...
Abstract The reduced human activities and associated decreases in aerosol emissions during the COVID‐19 pandemic are expected to affect climate. Assuming emission changes lockdown, back‐to‐work post‐lockdown stages of COVID‐19, climate model simulations show a surface warming over continental regions Northern Hemisphere. In January–March, there was an anomalous 0.05–0.15 K eastern China, temperature increase 0.04–0.07 Europe, United States, South Asia March–May. longer reductions undergo,...
Abstract. Despite the significant progress in improving chemical transport models (CTMs), applications of these modeling endeavors are still subject to large and complex model uncertainty. The Model Inter-Comparison Study for Asia III (MICS-Asia III) has provided opportunity assess capability uncertainty current CTMs East Asian applications. In this study, we have evaluated multi-model simulations nitrogen dioxide (NO2), carbon monoxide (CO) ammonia (NH3) over China under framework MICS-Asia...
Abstract. A large population in China has been exposed to both severe ozone (O3) pollution and extreme heat under global warming. Here, the spatiotemporal characteristics of coupled extremes surface O3 (OPCs) over are investigated using observations, a process-based chemical transport model (GEOS-Chem), multi-model simulations from Phase 6 Coupled Model Intercomparison Project (CMIP6). North Plain (NCP; 37–41∘ N; 114–120∘ E) is identified as hot spot OPCs, where more than half days...
Abstract The data‐driven approaches for medium‐range weather forecasting are recently shown to be extraordinarily promising ensemble due their fast inference speed compared the traditional numerical prediction models. However, forecast accuracy can hardly match state‐of‐the‐art operational ECMWF Integrated Forecasting System (IFS) model. Previous perform using some simple perturbation methods, like initial condition and Monte Carlo dropout. performance is often limited arguably by...
Data-driven medium-range weather forecasting has attracted much attention in recent years. However, the accuracy at high resolution is unsatisfactory currently. Pursuing high-resolution and high-quality forecasting, we develop a data-driven model SwinRDM which integrates an improved version of SwinRNN with diffusion model. performs predictions 0.25-degree achieves superior to IFS (Integrated Forecast System), state-of-the-art operational NWP model, on representative atmospheric variables...
Skillful subseasonal forecasts are crucial for various sectors of society but pose a grand scientific challenge. Recently, machine learning-based weather forecasting models outperform the most successful numerical predictions generated by European Centre Medium-Range Weather Forecasts (ECMWF), have not yet surpassed conventional at timescales. This paper introduces FuXi Subseasonal-to-Seasonal (FuXi-S2S), learning model that provides global daily mean up to 42 days, encompassing five...
Beijing has experienced a rapid urbanization in the last few decades and been suffering from serious air pollution during recent years. The Weather Research Forecasting-Chem model is used to quantify effects of on regional climate quality those urban heat island (UHI) mitigation strategy Beijing, with special focus impacts under different weather conditions (heat waves summer polluted days winter). modification rural land use into impervious surface significantly increases 2-m temperature...
Abstract Human activities reshape the global nitrogen (N) cycle and affect environment human health through reactive (Nr) loss during production consumption. In urbanized regions, N is greatly mediated by complex interactions between natural factors. However, variations in sources, magnitude, spatiotemporal patterns drivers of Nr flows remain unclear. Here we show model simulations, anthropogenic perturbations not only intensify input to sustain increasing demands for consumption Guangzhou...
Abstract We apply an online‐coupled meteorology‐chemistry model (WRF‐Chem) embedded with improved process analysis to examine aerosol‐radiation feedback (ARF) impacts on effectiveness of emission control due Coronavirus Disease 2019 (COVID‐19) lockdown over North China Plain. Emission reduction alone induces PM 2.5 decrease by 16.3 μg m −3 and O 3 increase 10.2 ppbv during COVID‐19 lockdown. The ARF enhances 2.7 (16.6%) 0.8 (7.8%). ARF‐induced enhancement decline is mostly attributed aerosol...
Abstract. We examined the impacts of aerosol–radiation interactions, including effects aerosol–photolysis interaction (API) and feedback (ARF), on surface-layer ozone (O3) concentrations during four multi-pollutant air pollution episodes characterized by high O3 PM2.5 levels 28 July to 3 August 2014 (Episode1), 8–13 2015 (Episode2), 5–11 June 2016 (Episode3), 2017 (Episode4) in North China, using Weather Research Forecasting with Chemistry (WRF-Chem) model embedded an integrated process...
The Clean Air Plan has been active in China since 2013 to mitigate severe PM2.5 pollution. In this study, we applied the air quality model WRF-Chem simulate Yangtze River Delta (YRD) region of 2017, with aim assessing improvement and its associated health burden final year Plan. To better describe fate various compositions, updated chemical mechanisms beforehand, including heterogeneous sulfate reactions, aqueous secondary organic aerosol (SOA) uptake, volatility basis set (VBS) based SOA...