COVID-19's impact on the atmospheric environment in the Southeast Asia region
Since its first appearance in Wuhan, China at the end of 2019, the new coronavirus (COVID-
19) has evolved a global pandemic within three months, with more than 4.3 million …
19) has evolved a global pandemic within three months, with more than 4.3 million …
A review of machine learning for modeling air quality: Overlooked but important issues
D Tang, Y Zhan, F Yang - Atmospheric Research, 2024 - Elsevier
Abstract Machine learning models based on satellite remote sensing have gained
widespread use in estimating ground-level air pollutant concentrations, which overcome the …
widespread use in estimating ground-level air pollutant concentrations, which overcome the …
[HTML][HTML] High-resolution retrieval of cloud microphysical properties and surface solar radiation using Himawari-8/AHI next-generation geostationary satellite
Optical properties of clouds and heavy aerosol retrieved from satellite measurements are the
most important elements for calculating surface solar radiation (SSR). The Himawari …
most important elements for calculating surface solar radiation (SSR). The Himawari …
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 …
Research progress, challenges, and prospects of PM2.5 concentration estimation using satellite data
Satellite data are vital for understanding the large-scale spatial distribution of particulate
matter (PM2. 5) due to their low cost, wide coverage, and all-weather capability. Estimation …
matter (PM2. 5) due to their low cost, wide coverage, and all-weather capability. Estimation …
Common retrieval of aerosol properties for imaging satellite sensors
M Yoshida, M Kikuchi, TM Nagao… - Journal of the …, 2018 - jstage.jst.go.jp
We develop a common retrieval algorithm of aerosol properties such as aerosol optical
thickness, single-scattering albedo, and Ångström exponent for various satellite sensors …
thickness, single-scattering albedo, and Ångström exponent for various satellite sensors …
Estimation of hourly full-coverage PM2. 5 concentrations at 1-km resolution in China using a two-stage random forest model
Fine particulate matter such as PM 2.5 has been the focus of increasing public concerns
because of its adverse effect on environment and health risks. However, existing efforts of …
because of its adverse effect on environment and health risks. However, existing efforts of …
Validation, comparison, and integration of GOCI, AHI, MODIS, MISR, and VIIRS aerosol optical depth over East Asia during the 2016 KORUS-AQ campaign
Recently launched multichannel geostationary Earth orbit (GEO) satellite sensors, such as
the Geostationary Ocean Color Imager (GOCI) and the Advanced Himawari Imager (AHI) …
the Geostationary Ocean Color Imager (GOCI) and the Advanced Himawari Imager (AHI) …
Estimating hourly PM1 concentrations from Himawari-8 aerosol optical depth in China
Particulate matter with diameter less than 1 μm (PM 1) has been found to be closely
associated with air quality, climate changes, and even adverse human health. However, a …
associated with air quality, climate changes, and even adverse human health. However, a …
[HTML][HTML] Constraining the Twomey effect from satellite observations: issues and perspectives
The Twomey effect describes the radiative forcing associated with a change in cloud albedo
due to an increase in anthropogenic aerosol emissions. It is driven by the perturbation in …
due to an increase in anthropogenic aerosol emissions. It is driven by the perturbation in …