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NASA HEALTH AND AIR QUALITY APPLIED SCIENCES TEAM
NASA HEALTH AND AIR QUALITY APPLIED SCIENCES TEAM
Connecting NASA Data and Tools with Health and Air Quality Stakeholders
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Yang Liu

A Bayesian Downscaler Model to Estimate Daily PM2.5 Levels in the Conterminous US

Age-Specific Associations of Ozone and Fine Particulate Matter with Respiratory Emergency Department Visits in the United States

All-cause mortality risk associated with long-term exposure to ambient PM2· 5 in China: a cohort study

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

Satellite-based short-and long-term exposure to PM2. 5 and adult mortality in urban Beijing, China

Predicting monthly high-resolution PM2. 5 concentrations with random forest model in the North China Plain

Space-time trends of PM2.5 constituents in the conterminous United States estimated by a machine learning approach, 2005–2015

The sensitivity of satellite-based PM2.5 estimates to its inputs: Implications to model development in data-poor regions

Impacts of snow and cloud covers on satellite-derived PM2. 5 levels

Developing an Advanced PM2.5 Exposure Model in Lima, Peru

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