Articles | Volume 8, issue 6
https://doi.org/10.5194/gmd-8-1775-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-1775-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
17 Jun 2015
Model description paper |
| 17 Jun 2015
ESP v2.0: enhanced method for exploring emission impacts of future scenarios in the United States – addressing spatial allocation
L. Ran
University of North Carolina at Chapel Hill, Institute for the Environment, 100 Europa Dr., Chapel Hill, NC 27517, USA
D. H. Loughlin
CORRESPONDING AUTHOR
US Environmental Protection Agency, Office of Research and Development, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, USA
D. Yang
University of North Carolina at Chapel Hill, Institute for the Environment, 100 Europa Dr., Chapel Hill, NC 27517, USA
Z. Adelman
University of North Carolina at Chapel Hill, Institute for the Environment, 100 Europa Dr., Chapel Hill, NC 27517, USA
B. H. Baek
University of North Carolina at Chapel Hill, Institute for the Environment, 100 Europa Dr., Chapel Hill, NC 27517, USA
C. G. Nolte
US Environmental Protection Agency, Office of Research and Development, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, USA
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Cited
12 citations as recorded by crossref.
- Linking energy sector and air quality models through downscaling: Long-run siting of electricity generators to account for spatial variability and technological innovation S. Wang et al. https://doi.org/10.1016/j.scitotenv.2021.145504
- Dynamic spatial allocation of future non-industrial CO₂ emissions using purpose-based travel demand forecasts H. Hu et al. https://doi.org/10.1038/s41598-026-62934-0
- Exploring the role of natural gas power plants with carbon capture and storage as a bridge to a low-carbon future S. Babaee & D. Loughlin https://doi.org/10.1007/s10098-017-1479-x
- The Detailed Emissions Scaling, Isolation, and Diagnostic (DESID) module in the Community Multiscale Air Quality (CMAQ) modeling system version 5.3.2 B. Murphy et al. https://doi.org/10.5194/gmd-14-3407-2021
- Estimating criteria pollutant emissions using the California Regional Multisector Air Quality Emissions (CA-REMARQUE) model v1.0 C. Zapata et al. https://doi.org/10.5194/gmd-11-1293-2018
- Comparing health benefit calculations for alternative energy futures K. Brown et al. https://doi.org/10.1007/s11869-020-00840-8
- Impacts of transportation sector emissions on future U.S. air quality in a changing climate. Part I: Projected emissions, simulation design, and model evaluation P. Campbell et al. https://doi.org/10.1016/j.envpol.2018.04.020
- Summertime O3 and related health risks in the north China plain: A modeling study using two anthropogenic emission inventories K. Chen et al. https://doi.org/10.1016/j.atmosenv.2020.118087
- Projecting state-level air pollutant emissions using an integrated assessment model: GCAM-USA W. Shi et al. https://doi.org/10.1016/j.apenergy.2017.09.122
- Projected air quality and health benefits from future policy interventions in India K. Chen et al. https://doi.org/10.1016/j.resconrec.2018.12.008
- Linking Electricity and Air Quality Models by Downscaling: Weather-Informed Hourly Dispatch of Generation Accounting for Renewable and Load Temporal Variability Scenarios S. Wang et al. https://doi.org/10.1021/acs.est.4c08060
- How to distinguish dwellings taking into account the information about supply from the district heating system? CO2 emission inventory in the Silesia, Poland D. Zasina & J. Zawadzki https://doi.org/10.1080/17583004.2018.1537515
12 citations as recorded by crossref.
- Linking energy sector and air quality models through downscaling: Long-run siting of electricity generators to account for spatial variability and technological innovation S. Wang et al. https://doi.org/10.1016/j.scitotenv.2021.145504
- Dynamic spatial allocation of future non-industrial CO₂ emissions using purpose-based travel demand forecasts H. Hu et al. https://doi.org/10.1038/s41598-026-62934-0
- Exploring the role of natural gas power plants with carbon capture and storage as a bridge to a low-carbon future S. Babaee & D. Loughlin https://doi.org/10.1007/s10098-017-1479-x
- The Detailed Emissions Scaling, Isolation, and Diagnostic (DESID) module in the Community Multiscale Air Quality (CMAQ) modeling system version 5.3.2 B. Murphy et al. https://doi.org/10.5194/gmd-14-3407-2021
- Estimating criteria pollutant emissions using the California Regional Multisector Air Quality Emissions (CA-REMARQUE) model v1.0 C. Zapata et al. https://doi.org/10.5194/gmd-11-1293-2018
- Comparing health benefit calculations for alternative energy futures K. Brown et al. https://doi.org/10.1007/s11869-020-00840-8
- Impacts of transportation sector emissions on future U.S. air quality in a changing climate. Part I: Projected emissions, simulation design, and model evaluation P. Campbell et al. https://doi.org/10.1016/j.envpol.2018.04.020
- Summertime O3 and related health risks in the north China plain: A modeling study using two anthropogenic emission inventories K. Chen et al. https://doi.org/10.1016/j.atmosenv.2020.118087
- Projecting state-level air pollutant emissions using an integrated assessment model: GCAM-USA W. Shi et al. https://doi.org/10.1016/j.apenergy.2017.09.122
- Projected air quality and health benefits from future policy interventions in India K. Chen et al. https://doi.org/10.1016/j.resconrec.2018.12.008
- Linking Electricity and Air Quality Models by Downscaling: Weather-Informed Hourly Dispatch of Generation Accounting for Renewable and Load Temporal Variability Scenarios S. Wang et al. https://doi.org/10.1021/acs.est.4c08060
- How to distinguish dwellings taking into account the information about supply from the district heating system? CO2 emission inventory in the Silesia, Poland D. Zasina & J. Zawadzki https://doi.org/10.1080/17583004.2018.1537515
Saved (final revised paper)
Latest update: 12 Nov 2026
Short summary
We present and demonstrate Version 2.0 of the Emission Scenario Projection (ESP) method. This method produces multi-decadal air pollutant emission projections suitable for air quality modeling. The method focuses on energy-related emissions, including those from the electric sector, buildings, industry and transportation. ESP v2.0 enhances ESP v1.0 by taking population growth, migration and land use change into consideration.
We present and demonstrate Version 2.0 of the Emission Scenario Projection (ESP) method. This...
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