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VIIRS satellite and ground pm2.5 monitoring data

Metadata Updated: November 12, 2020

contains all satellite, pm2.5, and meteorological data used in statistical modeling effort to improve prediction of pm2.5.

This dataset is associated with the following publication: Schliep, E., A. Gelfand, and D. Holland. Autoregressive Spatially-Varying Coefficient Models for Predicting Daily PM2:5 Using VIIRS Satellite AOT. Advances in Statistical Climatology, Meteorology and Oceanography. Copernicus Publications, Katlenburg-Lindau, GERMANY, 1(0): 59-74, (2015).

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources


Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Publisher U.S. EPA Office of Research and Development (ORD)
Identifier A-jm6j-259
Data Last Modified 2015-01-15
Public Access Level public
Bureau Code 020:00
Schema Version
Harvest Object Id e055696c-9873-44c7-b2b7-65167d7db34a
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
Program Code 020:094
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Source Datajson Identifier True
Source Hash 935efa91820ad6ccc6f2d17a29613996cc332a76
Source Schema Version 1.1

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