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Metadata Updated: November 12, 2020

R script: ensemble_rrf_sigma_vs_mean_play.R Data: ensemble_mean_sigma_rrf_allgrids_epismax_new_13runs.csv Plot: boxplot_ensemble_rrf_sigma_vs_mean_nowater_new_13runs_epimax.pdf.

This dataset is associated with the following publication: Gilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).

Access & Use Information

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

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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-6q5f-388
Data Last Modified 2012-11-13
Public Access Level public
Bureau Code 020:00
Schema Version
Harvest Object Id 4a921b2b-dc21-43df-86a8-9a86e2e2c7a3
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)
Related Documents
Source Datajson Identifier True
Source Hash c5631f8c342873157c4cf2bf93b2d72c2471512f
Source Schema Version 1.1

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