Preprints
https://doi.org/10.5194/gmd-2021-144
https://doi.org/10.5194/gmd-2021-144

Submitted as: model description paper 27 May 2021

Submitted as: model description paper | 27 May 2021

Review status: a revised version of this preprint was accepted for the journal GMD and is expected to appear here in due course.

GCAP 2.0: A global 3-D chemical-transport model framework for past, present, and future climate scenarios

Lee Thomas Murray1,2, Eric M. Leibensperger3, Clara Orbe4, Loretta J. Mickley5, and Melissa Sulprizio5 Lee Thomas Murray et al.
  • 1Dept. of Earth and Environmental Sciences, University of Rochester, Rochester, NY USA
  • 2Dept. of Physics and Astronomy, University of Rochester, Rochester, NY USA
  • 3Dept. of Physics and Astronomy, Ithaca College, Ithaca, NY USA
  • 4NASA Goddard Institute for Space Studies, New York, NY USA
  • 5School of Engineering and Applied Sciences, Harvard University, Cambridge, MA USA

Abstract. This manuscript describes version 2.0 of the Global Change and Air Pollution (GCAP 2.0) model framework, a one-way offline coupling between version E2.1 of the NASA Goddard Institute for Space Studies (GISS) general circulation model (GCM) and the GEOS-Chem global 3-D chemical-transport model (CTM). Meteorology for driving GEOS-Chem has been archived from the E2.1 contributions to Phase 6 of the Coupled Model Intercomparison Project (CMIP6) for the preindustrial and recent past. In addition, meteorology is available for the near future and end-of-the century for seven future scenarios ranging from extreme mitigation to extreme warming. Emissions and boundary conditions have been prepared for input to GEOS-Chem that are consistent with the CMIP6 experimental design. The model meteorology, emissions, transport and chemistry are evaluated in the recent past and found to be largely consistent with GEOS-Chem driven by the Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) product and with observational constraints.

Lee Thomas Murray et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-144', Anonymous Referee #1, 06 Jul 2021
  • RC2: 'Comment on gmd-2021-144', Anonymous Referee #2, 07 Jul 2021
  • AC1: 'Response to reviewers', Lee Murray, 25 Jul 2021

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-144', Anonymous Referee #1, 06 Jul 2021
  • RC2: 'Comment on gmd-2021-144', Anonymous Referee #2, 07 Jul 2021
  • AC1: 'Response to reviewers', Lee Murray, 25 Jul 2021

Lee Thomas Murray et al.

Data sets

GCAP 2.0 input files Lee T. Murray http://atmos.earth.rochester.edu/input/gc/ExtData/

Model code and software

MERRA-2 like diagnostics for the GISS ModelE2.1 GCM Lee T. Murray, Eric M. Leibensperger, Loretta J. Mickley https://doi.org/10.5281/zenodo.4783672

HEMCO Lizzie Lundgren, Melissa Sulprizio, Bob Yantosca, William Jamieson, Liam Bindle, Haipeng Lin, Tom Clune, and Lee Murray https://doi.org/10.5281/zenodo.4783703

GEOS-Chem Bob Yantosca, Melissa Sulprizio, Lizzie Lundgren, et al. https://doi.org/10.5281/zenodo.4783686

GCClassic Bob Yantosca, Lizzie Lundgren, Melissa Sulprizio, Liam Bindle, William Downs, and Lee Murray https://doi.org/10.5281/zenodo.4783680

Lee Thomas Murray et al.

Viewed

Total article views: 572 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
430 130 12 572 31 1 4
  • HTML: 430
  • PDF: 130
  • XML: 12
  • Total: 572
  • Supplement: 31
  • BibTeX: 1
  • EndNote: 4
Views and downloads (calculated since 27 May 2021)
Cumulative views and downloads (calculated since 27 May 2021)

Viewed (geographical distribution)

Total article views: 475 (including HTML, PDF, and XML) Thereof 475 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Sep 2021
Download
Short summary
Chemical transport models are tools used to study air pollution and inform public policy. However, they are limited by the availability of archived meteorology. Here we describe how the GEOS-Chem chemical transport model may now be driven by meteorology archived from a state-of-the-art general circulation model for past and future climates, allowing it to be used to explore the impact of climate change on air pollution and atmospheric composition.