Articles | Volume 11, issue 4
Geosci. Model Dev., 11, 1293–1320, 2018
https://doi.org/10.5194/gmd-11-1293-2018
Geosci. Model Dev., 11, 1293–1320, 2018
https://doi.org/10.5194/gmd-11-1293-2018

Development and technical paper 11 Apr 2018

Development and technical paper | 11 Apr 2018

Estimating criteria pollutant emissions using the California Regional Multisector Air Quality Emissions (CA-REMARQUE) model v1.0

Christina B. Zapata et al.

Related authors

Low-carbon energy generates public health savings in California
Christina B. Zapata, Chris Yang, Sonia Yeh, Joan Ogden, and Michael J. Kleeman
Atmos. Chem. Phys., 18, 4817–4830, https://doi.org/10.5194/acp-18-4817-2018,https://doi.org/10.5194/acp-18-4817-2018, 2018
Short summary

Related subject area

Atmospheric Sciences
Implementation of a synthetic inflow turbulence generator in idealised WRF v3.6.1 large eddy simulations under neutral atmospheric conditions
Jian Zhong, Xiaoming Cai, and Zheng-Tong Xie
Geosci. Model Dev., 14, 323–336, https://doi.org/10.5194/gmd-14-323-2021,https://doi.org/10.5194/gmd-14-323-2021, 2021
Short summary
Numerical study of the effects of initial conditions and emissions on PM2.5 concentration simulations with CAMx v6.1: a Xi'an case study
Han Xiao, Qizhong Wu, Xiaochun Yang, Lanning Wang, and Huaqiong Cheng
Geosci. Model Dev., 14, 223–238, https://doi.org/10.5194/gmd-14-223-2021,https://doi.org/10.5194/gmd-14-223-2021, 2021
Short summary
A multi-year short-range hindcast experiment with CESM1 for evaluating climate model moist processes from diurnal to interannual timescales
Hsi-Yen Ma, Chen Zhou, Yunyan Zhang, Stephen A. Klein, Mark D. Zelinka, Xue Zheng, Shaocheng Xie, Wei-Ting Chen, and Chien-Ming Wu
Geosci. Model Dev., 14, 73–90, https://doi.org/10.5194/gmd-14-73-2021,https://doi.org/10.5194/gmd-14-73-2021, 2021
Short summary
Ground-based lidar processing and simulator framework for comparing models and observations (ALCF 1.0)
Peter Kuma, Adrian J. McDonald, Olaf Morgenstern, Richard Querel, Israel Silber, and Connor J. Flynn
Geosci. Model Dev., 14, 43–72, https://doi.org/10.5194/gmd-14-43-2021,https://doi.org/10.5194/gmd-14-43-2021, 2021
Development of an Ozone Monitoring Instrument (OMI) aerosol index (AI) data assimilation scheme for aerosol modeling over bright surfaces – a step toward direct radiance assimilation in the UV spectrum
Jianglong Zhang, Robert J. D. Spurr, Jeffrey S. Reid, Peng Xian, Peter R. Colarco, James R. Campbell, Edward J. Hyer, and Nancy L. Baker
Geosci. Model Dev., 14, 27–42, https://doi.org/10.5194/gmd-14-27-2021,https://doi.org/10.5194/gmd-14-27-2021, 2021
Short summary

Cited articles

Alleman, T. L., Eudy, L., Miyasato, M., Oshinuga, A., Allison, S., Corcoran, T., Chatterjee, S., Jacobs, T., Cherrillo, R. A., Clark, R., Virrels, I., Nine, R., Wayne, S., and Lansing, R.: Fuel Property, Emission Test, and Operability Results from a Fleet of Class 6 Vehicles Operating on Gas-To-Liquid Fuel and Catalyzed Diesel Particle Filters, SAE Technical Paper 2004-01-2959, https://doi.org/10.4271/2004-01-2959, 2004.
Alleman, T. L., Barnitt, R., Eudy, L., Miyasato, M., Oshinuga, A., Corcoran, T., Chatterjee, S., Jacobs, T., Cherrillo, R. A., Clark, N., and Wayne, W. S.: Final Operability and Chassis Emissions Results from a Fleet of Class 6 Trucks Operating on Gas-to-Liquid Fuel and Catalyzed Diesel Particle Filters, SAE Technical Paper 2005-01-3769, https://doi.org/10.4271/2005-01-3769, 2005.
Antanaitis, D. B.: Effect of Regenerative Braking on Foundation Brake Performance, SAE Int. J. Passeng. Cars – Mech. Syst., 3, 14–30, 2010.
Argonne National Laboratory Transportation Technology R&D Center: The VISION Model, available at: http://www.anl.gov/energy-systems/project/vision-model (last access: April 2013), 2012.
Argonne National Laboratory Transportation Technology R&D Center: GREET Model. The Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation Model, available at: https://greet.es.anl.gov/ (last access:d June 2015), 2014.
Download
Short summary
The CA-REMARQUE emissions model translates policies designed for climate change mitigation into inputs needed for air pollution analysis in California. The model captures the complicated trade-offs associated with changing fuels and technologies that sometimes increase air pollution emissions in some areas while decreasing emissions in other areas. These detailed calculations are needed in highly populated regions like California where simple emissions controls have already been applied.