Articles | Volume 8, issue 6
Geosci. Model Dev., 8, 1775–1787, 2015
https://doi.org/10.5194/gmd-8-1775-2015
Geosci. Model Dev., 8, 1775–1787, 2015
https://doi.org/10.5194/gmd-8-1775-2015

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 et al.

Related authors

The Detailed Emissions Scaling, Isolation, and Diagnostic (DESID) module in the Community Multiscale Air Quality (CMAQ) modeling system version 5.3.2
Benjamin N. Murphy, Christopher G. Nolte, Fahim Sidi, Jesse O. Bash, K. Wyat Appel, Carey Jang, Daiwen Kang, James Kelly, Rohit Mathur, Sergey Napelenok, George Pouliot, and Havala O. T. Pye
Geosci. Model Dev., 14, 3407–3420, https://doi.org/10.5194/gmd-14-3407-2021,https://doi.org/10.5194/gmd-14-3407-2021, 2021
Short summary
The Community Multiscale Air Quality (CMAQ) model versions 5.3 and 5.3.1: system updates and evaluation
K. Wyat Appel, Jesse O. Bash, Kathleen M. Fahey, Kristen M. Foley, Robert C. Gilliam, Christian Hogrefe, William T. Hutzell, Daiwen Kang, Rohit Mathur, Benjamin N. Murphy, Sergey L. Napelenok, Christopher G. Nolte, Jonathan E. Pleim, George A. Pouliot, Havala O. T. Pye, Limei Ran, Shawn J. Roselle, Golam Sarwar, Donna B. Schwede, Fahim I. Sidi, Tanya L. Spero, and David C. Wong
Geosci. Model Dev., 14, 2867–2897, https://doi.org/10.5194/gmd-14-2867-2021,https://doi.org/10.5194/gmd-14-2867-2021, 2021
Short summary
Evaluating wildfire emissions projection methods in comparisons of simulated and observed air quality
Uma Shankar, Donald McKenzie, Jeffrey P. Prestemon, Bok Haeng Baek, Mohammed Omary, Dongmei Yang, Aijun Xiu, Kevin Talgo, and William Vizuete
Atmos. Chem. Phys., 19, 15157–15181, https://doi.org/10.5194/acp-19-15157-2019,https://doi.org/10.5194/acp-19-15157-2019, 2019
Short summary
Integrating multimedia models to assess nitrogen losses from the Mississippi River basin to the Gulf of Mexico
Yongping Yuan, Ruoyu Wang, Ellen Cooter, Limei Ran, Prasad Daggupati, Dongmei Yang, Raghavan Srinivasan, and Anna Jalowska
Biogeosciences, 15, 7059–7076, https://doi.org/10.5194/bg-15-7059-2018,https://doi.org/10.5194/bg-15-7059-2018, 2018
Short summary
The potential effects of climate change on air quality across the conterminous US at 2030 under three Representative Concentration Pathways
Christopher G. Nolte, Tanya L. Spero, Jared H. Bowden, Megan S. Mallard, and Patrick D. Dolwick
Atmos. Chem. Phys., 18, 15471–15489, https://doi.org/10.5194/acp-18-15471-2018,https://doi.org/10.5194/acp-18-15471-2018, 2018
Short summary

Related subject area

Climate and Earth system modeling
fv3gfs-wrapper: a Python wrapper of the FV3GFS atmospheric model
Jeremy McGibbon, Noah D. Brenowitz, Mark Cheeseman, Spencer K. Clark, Johann P. S. Dahm, Eddie C. Davis, Oliver D. Elbert, Rhea C. George, Lucas M. Harris, Brian Henn, Anna Kwa, W. Andre Perkins, Oliver Watt-Meyer, Tobias F. Wicky, Christopher S. Bretherton, and Oliver Fuhrer
Geosci. Model Dev., 14, 4401–4409, https://doi.org/10.5194/gmd-14-4401-2021,https://doi.org/10.5194/gmd-14-4401-2021, 2021
Short summary
Recalibrating decadal climate predictions – what is an adequate model for the drift?
Alexander Pasternack, Jens Grieger, Henning W. Rust, and Uwe Ulbrich
Geosci. Model Dev., 14, 4335–4355, https://doi.org/10.5194/gmd-14-4335-2021,https://doi.org/10.5194/gmd-14-4335-2021, 2021
Short summary
Multi-variate factorisation of numerical simulations
Daniel J. Lunt, Deepak Chandan, Alan M. Haywood, George M. Lunt, Jonathan C. Rougier, Ulrich Salzmann, Gavin A. Schmidt, and Paul J. Valdes
Geosci. Model Dev., 14, 4307–4317, https://doi.org/10.5194/gmd-14-4307-2021,https://doi.org/10.5194/gmd-14-4307-2021, 2021
Short summary
Inclusion of a suite of weathering tracers in the cGENIE Earth system model – muffin release v.0.9.23
Markus Adloff, Andy Ridgwell, Fanny M. Monteiro, Ian J. Parkinson, Alexander J. Dickson, Philip A. E. Pogge von Strandmann, Matthew S. Fantle, and Sarah E. Greene
Geosci. Model Dev., 14, 4187–4223, https://doi.org/10.5194/gmd-14-4187-2021,https://doi.org/10.5194/gmd-14-4187-2021, 2021
Short summary
The ENEA-REG system (v1.0), a multi-component regional Earth system model: sensitivity to different atmospheric components over the Med-CORDEX (Coordinated Regional Climate Downscaling Experiment) region
Alessandro Anav, Adriana Carillo, Massimiliano Palma, Maria Vittoria Struglia, Ufuk Utku Turuncoglu, and Gianmaria Sannino
Geosci. Model Dev., 14, 4159–4185, https://doi.org/10.5194/gmd-14-4159-2021,https://doi.org/10.5194/gmd-14-4159-2021, 2021
Short summary

Cited articles

Akhtar, F., Pinder, R., Loughlin, D., and Henze, D.: GLIMPSE: A rapid decision framework for energy and environmental policy, Environ. Sci. Technol., 47, 12011–12019, https://doi.org/10.1021/es402283j, 2013.
Avise, J., Chen, J., Lamb, B., Wiedinmyer, C., Guenther, A., Salathé, E., and Mass, C.: Attribution of projected changes in summertime US ozone and PM2.5 concentrations to global changes, Atmos. Chem. Phys., 9, 1111–1124, https://doi.org/10.5194/acp-9-1111-2009, 2009.
Avise, J., Gonzalez-Abraham, R., Chung, S. H. Chen, J., Lamb, B., Salathé, E. P., Zhang, Y., Nolte, C. G., Loughlin, D. H., Guenther, A., Wiedinmyer, C., and Duhl, T.: Evaluating the effects of climate change on summertime ozone using a relative response factor approach for policymakers, J. Air Waste Ma., 62, 1061–1074, https://doi.org/10.1080/10962247.2012.696531, 2012.
Bierwagen, B. G., Theobald, D. M., Pyke, C. R., Choate, A., Groth, P., Thomas, J. V., and Morefield, P.: National housing and impervious surface scenarios for integrated climate impact assessments, P. Natl. Acad. Sci. USA, 107, 20887–20892, https://doi.org/10.1073/pnas.1002096107, 2010.
Byun, D. and Schere, K.: Review of the governing equations, computational algorithms, and other components of the Models-3 Community Multiscale Air Quality (CMAQ) modeling system, Appl. Mech. Rev., 59, 51–77, https://doi.org/10.1115/1.2128636, 2006.
Download
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.