Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.154 IF 5.154
  • IF 5-year value: 5.697 IF 5-year
    5.697
  • CiteScore value: 5.56 CiteScore
    5.56
  • SNIP value: 1.761 SNIP 1.761
  • IPP value: 5.30 IPP 5.30
  • SJR value: 3.164 SJR 3.164
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 59 Scimago H
    index 59
  • h5-index value: 49 h5-index 49
Volume 9, issue 2
Geosci. Model Dev., 9, 671–695, 2016
https://doi.org/10.5194/gmd-9-671-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Coupled chemistry–meteorology modelling: status and...

Geosci. Model Dev., 9, 671–695, 2016
https://doi.org/10.5194/gmd-9-671-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Development and technical paper 18 Feb 2016

Development and technical paper | 18 Feb 2016

Decadal evaluation of regional climate, air quality, and their interactions over the continental US and their interactions using WRF/Chem version 3.6.1

Khairunnisa Yahya et al.
Related authors  
Quantifying the volatility of organic aerosol in the southeastern US
Provat K. Saha, Andrey Khlystov, Khairunnisa Yahya, Yang Zhang, Lu Xu, Nga L. Ng, and Andrew P. Grieshop
Atmos. Chem. Phys., 17, 501–520, https://doi.org/10.5194/acp-17-501-2017,https://doi.org/10.5194/acp-17-501-2017, 2017
Application of WRF/Chem over North America under the AQMEII Phase 2 – Part 2: Evaluation of 2010 application and responses of air quality and meteorology–chemistry interactions to changes in emissions and meteorology from 2006 to 2010
K. Yahya, K. Wang, Y. Zhang, and T. E. Kleindienst
Geosci. Model Dev., 8, 2095–2117, https://doi.org/10.5194/gmd-8-2095-2015,https://doi.org/10.5194/gmd-8-2095-2015, 2015
Short summary
Related subject area  
Atmospheric Sciences
Description and evaluation of the tropospheric aerosol scheme in the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS-AER, cycle 45R1)
Samuel Rémy, Zak Kipling, Johannes Flemming, Olivier Boucher, Pierre Nabat, Martine Michou, Alessio Bozzo, Melanie Ades, Vincent Huijnen, Angela Benedetti, Richard Engelen, Vincent-Henri Peuch, and Jean-Jacques Morcrette
Geosci. Model Dev., 12, 4627–4659, https://doi.org/10.5194/gmd-12-4627-2019,https://doi.org/10.5194/gmd-12-4627-2019, 2019
Short summary
Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1)
Siqi Ma, Xuelei Zhang, Chao Gao, Daniel Q. Tong, Aijun Xiu, Guangjian Wu, Xinyuan Cao, Ling Huang, Hongmei Zhao, Shichun Zhang, Sergio Ibarra-Espinosa, Xin Wang, Xiaolan Li, and Mo Dan
Geosci. Model Dev., 12, 4603–4625, https://doi.org/10.5194/gmd-12-4603-2019,https://doi.org/10.5194/gmd-12-4603-2019, 2019
Short summary
tobac 1.2: towards a flexible framework for tracking and analysis of clouds in diverse datasets
Max Heikenfeld, Peter J. Marinescu, Matthew Christensen, Duncan Watson-Parris, Fabian Senf, Susan C. van den Heever, and Philip Stier
Geosci. Model Dev., 12, 4551–4570, https://doi.org/10.5194/gmd-12-4551-2019,https://doi.org/10.5194/gmd-12-4551-2019, 2019
Short summary
Simulating lightning NO production in CMAQv5.2: performance evaluations
Daiwen Kang, Kristen M. Foley, Rohit Mathur, Shawn J. Roselle, Kenneth E. Pickering, and Dale J. Allen
Geosci. Model Dev., 12, 4409–4424, https://doi.org/10.5194/gmd-12-4409-2019,https://doi.org/10.5194/gmd-12-4409-2019, 2019
Short summary
A Lagrangian convective transport scheme including a simulation of the time air parcels spend in updrafts (LaConTra v1.0)
Ingo Wohltmann, Ralph Lehmann, Georg A. Gottwald, Karsten Peters, Alain Protat, Valentin Louf, Christopher Williams, Wuhu Feng, and Markus Rex
Geosci. Model Dev., 12, 4387–4407, https://doi.org/10.5194/gmd-12-4387-2019,https://doi.org/10.5194/gmd-12-4387-2019, 2019
Short summary
Cited articles  
Abdul-Razzak, H. and Ghan, S. J.: A parameterization of aerosol activation, 2. Multiple aerosol types, J. Geophys. Res., 105, 6837–6844, 2000.
Ahmadov, R., McKeen, S. A., Robinson, A. L., Bareini, R., Middlebrook, A. M., De Gouw, J. A., Meagher, J., Hsie, E.-Y., Edgerton, E., Shaw, S., and Trainer, M.: A volatility basis set model for summertime secondary organic aerosols over the eastern United States in 2006, J. Geophys. Res. 117, D06301, https://doi.org/10.1029/2011JD016831, 2012.
Alapaty, K., Herwehe, J., Nolte, C. G., Bullock, R. O., Otte, T. L., Mallard, M. S., Dudhia, J., and Kain, J. S.: Introducing subgrid-scale cloud feedbacks to radiation in WRF, the 13th WRF Users Workshop, Boulder, CO, 26–29 June 2012.
Beniston, M., Stephenson, D. B., Christensen, O. B., Ferro, C. A. T., Frei, C., Goyette, S., Halsnaes, K., Holt, T., Jylha, K., Koffi, B., Palutikof, J., Scholl, R., Semmler, T., and Woth, K.: Future extreme events in European climate: an exploration of regional climate model projections, Clim. Change, 81, 71–95, https://doi.org/10.1007/s10584-006-9226-z, 2007.
Publications Copernicus
Download
Notice on corrigendum

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
The Weather Research and Forecasting model with Chemistry (WRF/Chem) v3.6.1 is evaluated for its first decadal application during 2001 to 2010 using the Representative Concentration Pathway 8.5 emissions. The model evaluation shows acceptable performance for long-term climatological simulations of most meteorological variables and chemical concentrations. Larger biases exist for aerosol-cloud-radiation variables, which future model improvement should focus on.
The Weather Research and Forecasting model with Chemistry (WRF/Chem) v3.6.1 is evaluated for its...
Citation