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

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

There has been growing interest in extending the coverage of ground particulate matter with aerodynamic diameter ≤ 2.5 μm (PM2.5) monitoring networks based on satellite remote sensing data. With broad spatial and temporal coverage, a satellite-based monitoring network has a strong pote...

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Bibliographic Details
Main Authors: Yikai Wang, Xuefei Hu, Howard H. Chang, Lance A. Waller, Jessica H. Belle, Yang Liu
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:International Journal of Environmental Research and Public Health
Subjects:
PM2.5
Bayesian downscaler
exposure modeling
aerosol optical depth
MODIS
Online Access:http://www.mdpi.com/1660-4601/15/9/1999

Internet

http://www.mdpi.com/1660-4601/15/9/1999

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