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East Asian Study of Tropospheric Aerosols and their Impact on Regional Clouds, Precipitation, and Climate (EAST‐AIRCPC)
Aerosols have significant and complex impacts on regional climate in East Asia. Cloud‐
aerosol‐precipitation interactions (CAPI) remain most challenging in climate studies. The …
aerosol‐precipitation interactions (CAPI) remain most challenging in climate studies. The …
Reconstructing 1-km-resolution high-quality PM2. 5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications
Exposure to fine particulate matter (PM 2.5) can significantly harm human health and
increase the risk of death. Satellite remote sensing allows for generating spatially …
increase the risk of death. Satellite remote sensing allows for generating spatially …
Recent Developments in Satellite Remote Sensing for Air Pollution Surveillance in Support of Sustainable Development Goals.
D Stratoulias, N Nuthammachot… - Remote …, 2024 - search.ebscohost.com
Air pollution is an integral part of climatic, environmental, and socioeconomic current affairs
and a cross-cutting component of certain United Nations Sustainable Development Goals …
and a cross-cutting component of certain United Nations Sustainable Development Goals …
Stacking machine learning model for estimating hourly PM2. 5 in China based on Himawari 8 aerosol optical depth data
J Chen, J Yin, L Zang, T Zhang, M Zhao - Science of The Total Environment, 2019 - Elsevier
Aerosol optical depth (AOD) from polar orbit satellites and meteorological factors have been
widely used to estimate concentrations of surface particulate matter with an aerodynamic …
widely used to estimate concentrations of surface particulate matter with an aerodynamic …
[HTML][HTML] Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia
Abstract Aerosol Optical Depth (AOD) and Fine Mode Fraction (FMF) are important
information for air quality research. Both are mainly obtained from satellite data based on a …
information for air quality research. Both are mainly obtained from satellite data based on a …
A Spatial-Temporal Interpretable Deep Learning Model for improving interpretability and predictive accuracy of satellite-based PM2. 5
Being able to monitor PM 2.5 across a range of scales is incredibly important for our ability to
understand and counteract air pollution. Remote monitoring PM 2.5 using satellite-based …
understand and counteract air pollution. Remote monitoring PM 2.5 using satellite-based …
[HTML][HTML] New interpretable deep learning model to monitor real-time PM2. 5 concentrations from satellite data
Particulate matter with a mass concentration of particles with a diameter less than 2.5 μm
(PM 2.5) is a key air quality parameter. A real-time knowledge of PM 2.5 is highly valuable …
(PM 2.5) is a key air quality parameter. A real-time knowledge of PM 2.5 is highly valuable …
The polarization crossfire (PCF) sensor suite focusing on satellite remote sensing of fine particulate matter PM2. 5 from space
Focusing on satellite remote sensing of fine particulate matter PM 2.5 from space, the
polarization crossfire (PCF) strategy has been developed, which includes the PCF satellite …
polarization crossfire (PCF) strategy has been developed, which includes the PCF satellite …
How magnitude of PM2. 5 exposure disparities have evolved across Chinese urban-rural population during 2010–2019
M Liu, Y Wang, R Liu, C Ding, G Zhou, L Han - Journal of Cleaner …, 2023 - Elsevier
Rapid industrialization and urbanization in China not only facilitate economic progress, but
also aggravate environmental pollution and disparity. Particulate matter (especially PM 2.5) …
also aggravate environmental pollution and disparity. Particulate matter (especially PM 2.5) …
Evaluation of four meteorological reanalysis datasets for satellite-based PM2. 5 retrieval over China
C Zuo, J Chen, Y Zhang, Y Jiang, M Liu, H Liu… - Atmospheric …, 2023 - Elsevier
Meteorological reanalysis data is widely used for satellite-based retrieval of fine particulate
matter (PM 2.5); however, selecting appropriate data for specific regional applications …
matter (PM 2.5); however, selecting appropriate data for specific regional applications …