Science Inventory

Modeling U.S. air pollutant emissions and controls in GCAM-USA

Citation:

Loughlin, Dan, Chris Nolte, C. Lenox, G. Bhander, W. Shi, Y. Ou, S. Babaee, S. Smith, J. McLeod, C. Ledna, AND J. West. Modeling U.S. air pollutant emissions and controls in GCAM-USA. Presented at JGCRI 2015 Integrated Assessment Workshop, College Park, MD, December 01 - 04, 2015.

Impact/Purpose:

The GCAM-USA model is an integrated assessment model that is able to explore the emission implications of broad-ranging scenarios of the U.S. and global economic-energy-agriculture-climate system. Pollutant emission factors in GCAM historically been modeled as being an inverse function of economic growth. In this work, we modify GCAM-USA to incorporate U.S. specific emission factors and constraints. We then demonstrate how inclusions of these factors affects the model's emission and technological projections. This improved version of the model has the potential to be useful for application to a wide range of air-climate-energy research topics.

Description:

We describe extensions to the GCAM-USA modeling framework that facilitate exploration of the co-benefits, tradeoffs and synergies among strategies for addressing climate, air quality, and other environmental goals.

URLs/Downloads:

JGCRI_GCAM_AIRPOLLUTANT_112015.PDF  (PDF, NA pp,  821.375  KB,  about PDF)

Record Details:

Record Type:DOCUMENT( PRESENTATION/ SLIDE)
Product Published Date:12/04/2015
Record Last Revised:04/22/2016
OMB Category:Other
Record ID: 311557