Prediction of daily mean and one-hour maximum PM2.5 concentrations and applications in Central Mexico using satellite-based machine-learning models

Global urban temporal trends in fine particulate matter (PM2·5) and attributable health burdens: estimates from global datasets

(2022) Veronica A Southerland et al.   Lancet Planetary Health

A spatiotemporal reconstruction of daily ambient temperature using satellite data in the Megalopolis of Central Mexico from 2003‐2019

(2021) Iván Gutiérrez‐Avila et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

A Workshop on the Revolutionary Air-Pollution Applications from Future Tropospheric Emissions: Monitoring of Pollution (TEMPO) Observations

(2021) Aaron R. Naeger et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Ambient air pollution and cause-specific risk of hospital admission in China: A nationwide time-series study

(2020) Jiangshao Gu et al.   PLOS MEDICINE

Advancing methodologies for applying machine learning and evaluating spatiotemporal models of fine particulate matter (PM2.5) using satellite data over large regions

(2020) Allan C. Just et al.   ATMOSPHERIC ENVIRONMENT

Avoidable mortality by implementing more restrictive fine particles standards in Brazil: An estimation using satellite surface data

(2020) Willian Lemker Andreão et al.   ENVIRONMENTAL RESEARCH

A Satellite-Based Spatio-Temporal Machine Learning Model to Reconstruct Daily PM2.5 Concentrations across Great Britain

(2020) Rochelle Schneider et al.   Remote Sensing

Quantifying health impacts and economic costs of PM2.5 exposure in Mexican cities of the National Urban System

(2019) Adrián Giovani Trejo-González et al.   International Journal of Public Health

Environmental Injustice in Mexico City: A Spatial Quantile Approach

(2019) Alejandro Lome-Hurtado et al.   Exposure and Health

An ensemble-based model of PM2.5 concentration across the contiguous United States with high spatiotemporal resolution

(2019) Qian Di et al.   ENVIRONMENT INTERNATIONAL

Estimating 1-km-resolution PM2.5 concentrations across China using the space-time random forest approach

(2019) Jing Wei et al.   REMOTE SENSING OF ENVIRONMENT

Methods, availability, and applications of PM2.5 exposure estimates derived from ground measurements, satellite, and atmospheric models

(2019) Minghui Diao et al.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION

Experience from Integrated Air Quality Management in the Mexico City Metropolitan Area and Singapore

(2019) Molina et al.   Atmosphere

Spatiotemporal imputation of MAIAC AOD using deep learning with downscaling

(2019) Lianfa Li et al.   REMOTE SENSING OF ENVIRONMENT

The association between short and long-term exposure to PM 2.5 and temperature and hospital admissions in New England and the synergistic effect of the short-term exposures

(2018) Maayan Yitshak-Sade et al.   SCIENCE OF THE TOTAL ENVIRONMENT

An Ensemble Machine-Learning Model To Predict Historical PM2.5 Concentrations in China from Satellite Data

(2018) Qingyang Xiao et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Global changes in the diurnal cycle of surface ozone

(2018) Sarah A. Strode et al.   ATMOSPHERIC ENVIRONMENT

Measurement Error Correction for Predicted Spatiotemporal Air Pollution Exposures

(2017) Joshua P. Keller et al.   EPIDEMIOLOGY

Tropospheric emissions: Monitoring of pollution (TEMPO)

(2017) P. Zoogman et al.   JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER

Airborne Fine Particles and Risk of Hospital Admissions for Understudied Populations: Effects by Urbanicity and Short-Term Cumulative Exposures in 708 U.S. Counties

(2016) Mercedes A. Bravo et al.   ENVIRONMENTAL HEALTH PERSPECTIVES

Hourly peak PM2.5 concentration associated with increased cardiovascular mortality in Guangzhou, China

(2016) Hualiang Lin et al.   Journal of Exposure Science and Environmental Epidemiology

A Review on Predicting Ground PM2.5 Concentration Using Satellite Aerosol Optical Depth

(2016) Yuanyuan Chu et al.   Atmosphere

Health impact metrics for air pollution management strategies

(2015) Sheena E. Martenies et al.   ENVIRONMENT INTERNATIONAL

Using High-Resolution Satellite Aerosol Optical Depth To Estimate Daily PM2.5 Geographical Distribution in Mexico City

(2015) Allan C. Just et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

The relationships between short-term exposure to particulate matter and mortality in Korea: impact of particulate matter exposure metrics for sub-daily exposures

(2013) Ji-Young Son et al.   Environmental Research Letters