A5084381764- Air Quality and Health Impacts
- Vehicle emissions and performance
- Atmospheric chemistry and aerosols
- Atmospheric and Environmental Gas Dynamics
- Air Quality Monitoring and Forecasting
- Meteorological Phenomena and Simulations
- Climate variability and models
- Atmospheric Ozone and Climate
- Atmospheric aerosols and clouds
- Ocean Waves and Remote Sensing
- Transportation Planning and Optimization
- Oceanographic and Atmospheric Processes
- Arctic and Antarctic ice dynamics
- Electric Vehicles and Infrastructure
- Energy, Environment, and Transportation Policies
- Peatlands and Wetlands Ecology
- Wind and Air Flow Studies
- Aeolian processes and effects
- Remote Sensing and Land Use
- Toxic Organic Pollutants Impact
- Environmental and Agricultural Sciences
- Tropical and Extratropical Cyclones Research
- Catalytic Processes in Materials Science
- Coastal and Marine Management
- Environmental Policies and Emissions
Nankai University
2016-2025
Chinese Academy of Sciences
2016-2025
Minzu University of China
2020-2025
Chengdu Institute of Biology
2025
Institute of Atmospheric Physics
2014-2024
University of Chinese Academy of Sciences
2019-2024
Tianjin Research Institute of Water Transport Engineering
2020-2024
Inner Mongolia Autonomous Region Meteorological Bureau
2022
Qinghai University
2022
State Key Laboratory of Plateau Ecology and Agriculture
2022
Abstract. A 6-year-long high-resolution Chinese air quality reanalysis (CAQRA) dataset is presented in this study obtained from the assimilation of surface observations China National Environmental Monitoring Centre (CNEMC) using ensemble Kalman filter (EnKF) and Nested Air Quality Prediction Modeling System (NAQPMS).This contains fields six conventional pollutants (i.e. PM2.5, PM10, SO2, NO2, CO, O3) for period 2013–2018 at high spatial (15 km×15 km) temporal (1 h) resolutions. This paper...
Abstract This review discusses recent advances in geophysical data assimilation beyond Gaussian statistical modeling, the fields of meteorology, oceanography, as well atmospheric chemistry. The non-Gaussian features are stressed rather than nonlinearity dynamical models, although both aspects entangled. Ideas recently proposed to deal with these issues, order improve state or parameter estimation, emphasized. general Bayesian solution estimation problem and techniques solve it first...
Abstract. Polyphemus is an air quality modeling platform which aims at covering the scope and abilities of modern systems. It deals with applications from local scale to continental scale, using two Gaussian models Eulerian models. manages passive tracers, radioactive decay, photochemistry aerosol dynamics. The structure system includes four independent levels data management, physical parameterizations, numerical solvers high-level methods such as assimilation. This enables sensitivity...
Abstract. This paper presents a bottom-up methodology based on the local emission factors, complemented with widely used factors of Computer Programme to Calculate Emissions from Road Transport (COPERT) model and near-real-time traffic data road segments develop vehicle inventory high temporal–spatial resolution (HTSVE) for Beijing urban area. To simulate real-world emissions accurately, has been divided into according driving cycle (traffic speed) this segment. The results show that NOx,...
Ammonia (NH3) emission inventories are an essential input in chemical transport models and helpful for policy-makers to refine mitigation strategies. However, current estimates of Chinese NH3 emissions still have large uncertainties. In this study, improved inversion estimation China has been made using ensemble Kalman filter the Nested Air Quality Prediction Modeling System. By first assimilating surface observations from Monitoring Network at a high resolution 15 km, our results provided...
Abstract. The ability of a Bayesian atmospheric inversion to quantify the Paris region's fossil fuel CO2 emissions on monthly basis, based network three surface stations operated for 1 year as part CO2-MEGAPARIS experiment (August 2010–July 2011), is analysed. Differences in hourly mole fractions between near-ground monitoring sites (CO2 gradients), located at north-eastern and south-western edges urban area, are used estimate 6 h mean emission. relies CHIMERE transport model run 2 km ×...
Abstract. This study assesses the potential of 2 to 10 km resolution imagery CO2 concentrations retrieved from shortwave infrared measurements a space-borne passive spectrometer for monitoring spatially integrated emissions Paris area. Such could be provided by missions similar CarbonSat, which was studied as candidate Earth Explorer 8 mission European Space Agency (ESA). assessment is based on observing system simulation experiments (OSSEs) with an atmospheric inversion approach at city...
Vehicle emissions are regarded as an important contributor to urban air pollution in China and most previous studies focused on megacities. However, the vehicle middle-sized cities becomes more severe due increasing population (VP) lagged control policy. This study takes Langfang, a typical city bordered by two megacities (Beijing Tianjin), target domain investigate emissions. The speed correction curves (SCC) introduced improve emission factors (EF) simulation official technical guidelines...
Abstract. China's fossil-fuel CO2 (FFCO2) emissions accounted for approximately 28 % of the global total FFCO2 in 2016. An accurate estimate is a prerequisite and regional carbon budget analyses monitoring emission reduction efforts. However, significant uncertainties discrepancies exist estimations due to lack detailed traceable factors (EFs) multiple statistical data sources. Here, we evaluated from nine published datasets. These datasets show that increased 3.4 (3.0–3.7) 2000 9.8...
The objective of this paper is to evaluate the performances different data assimilation schemes with aim designing suitable algorithms for short‐range ozone forecasts in realistic applications. underlying atmospheric chemistry‐transport models are stiff but stable systems high uncertainties (e.g., over 20% daily peaks (Hanna et al., 1998; Mallet and Sportisse, 2006b), much more other pollutants like aerosols). Therefore main difficulty problem how account strong model uncertainties. In...