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Evaluation of air pollutant emissions projections from the GCAM-USA integrated assessment model

Metadata Updated: November 12, 2020

This dataset contains 2010 emissions of nitrogen oxides, sulfur dioxide, and fine particulate matter by sector and state as modeled using the GCAM-USA integrated assessment model, in comparison to the 2011 National Emissions Inventory (NEI). In addition, the dataset includes 2025 projections from both GCAM-USA and the NEI. The dataset includes data underlying the figures and tables in the following journal article: Wenjing Shi et al. (2017), Projecting state-level air pollutant emissions using an integrated assessment model: GCAM-USA. Applied Energy, in review.

This dataset is associated with the following publication: Shi, W., Y. Ou, S. Smith, C. Ledna, C. Nolte, and D. Loughlin. Projecting state-level air pollutant emissions using an integrated assessment model: GCAM-USA.. Applied Energy. Elsevier B.V., Amsterdam, NETHERLANDS, 208: 511-521, (2017).

Access & Use Information

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

Downloads & Resources

References

https://doi.org/10.1016/j.apenergy.2017.09.122

Dates

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)
Maintainer
Identifier https://doi.org/10.23719/1377869
Data Last Modified 2017-08-31
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Harvest Object Id a650a8b1-cea3-4e36-94cb-16e75f2c39ed
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
License https://pasteur.epa.gov/license/sciencehub-license.html
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 https://doi.org/10.1016/j.apenergy.2017.09.122
Source Datajson Identifier True
Source Hash 12e531928a0cd2e4be6d971808a7bc1017d3d322
Source Schema Version 1.1

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