Wrf Cmaq Epa

WRF-CMAQ

DOMAIN: NA

Model Code/Acronym: 10570/US6

Meteorological Model: WRF3.4 (general WRF reference Skamarock et al., 2008)

  • Options:
    • Morrison microphysics scheme (Morrison et al., 2008)
    • Version 2 of the Kain-Fritsch (KF2) cumulus cloud parameterization (Kain, 2004)
    • Asymmetric Convective Model version 2 (ACM2) for the planetary boundary layer (Pleim, 2007a, b)
    • Pleim-Xiu land-surface model (Xiu and Pleim, 2001)
    • Rapid Radiative Transfer Model for GCMs (RRTMG) (Clough et al., 2005)

Chemistry Model: CMAQ5.0.1 (Appel et al., 2013; see also Foley et al., 2010 and Byun and Schere, 2006; description of coupled WRF-CMAQ in Wong et al., 2012)

Biogenic Model: BEIS3.14 (inline with WRF/CMAQ); Vukovich at al. (2002), Schwede et al., (2005)

Dust Model: inline with WRF/CMAQ (Appel et al., 2013)

Horizontal Resolution, projection: 12 km, Lambert conformal

Vertical Resolution: 35 layers, first layer height 19m, top layer pressure 100 mb

Gas Phase Mechanism: CB05-TU (Whitten et al., 2010; Sarwar et al., 2011)

Aerosol Mechanism: aero6, see Appel et al. (2013), also see Carlton et al. (2010), Foley et al., 2010, Byun and Schere, 2006, and Binkowski and Roselle (2003)

Aerosol Size: modal

Organic Module: Simon and Bhave (2012), Carlton et al. (2010), Foley et al. (2010)

Direct/Indirect Feedback: Yes for direct feedback (Wong et al., 2012), Bohren and Huffman (1998) / No for indirect feedback

Wet Deposition: Byun and Schere, 2006

Dry Deposition: Pleim and Ran, 2011

Other: The following nudging options were applied for the WRF-CMAQ simulations:

  • soil moisture and temperature nudging (Pleim and Xiu, 2003; Pleim and Gilliam, 2009)
  • analysis nudging was included for temperature, winds and humidity above the PBL (Gilliam et al., 2012)

References:

  • Appel, K. W., Pouliot, G. A., Simon, H., Sarwar, G., Pye, H. O. T., Napelenok, S. L., Akhtar, F., and Roselle, S. J.: Evaluation of dust and trace metal estimates from the Community Multiscale Air Quality (CMAQ) model version 5.0, Geosci. Model Dev., 6, 883-899, doi:10.5194/gmd-6-883-2013, 2013
  • Binkowski, F. S., and S. J. Roselle, Models-3 Community Multiscale Air Quality (CMAQ) model aerosol component, 1, Model description, J. Geophys. Res., 108(D6), 4183, doi:10.1029/2001JD001409, 2003
  • Bohren, Craig F. and Donald R. Huffman, Absorption and scattering of light by small particles, New York: Wiley, 1998, 530 p., ISBN 0-471-29340-7, ISBN 978-0-471-29340-8 (second edition)
  • Byun, D. W. and Schere, K. L., 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, 2006
  • Carlton, A. G., P. Bhave, S. Napelenok, E. O. Edney, G. Sarwar, R. W. Pinder, G. Pouliot, and M. Houyoux. Model Representation of Secondary Organic Aerosol in CMAQ v4.7. Environmental Science & Technology, American Chemical Society, Washington, DC, 44(22):8553-8560, (2010)
  • Clough, S. A., Shephard, M. W., Mlawer, E. J., Delamere, J. S., Iacono, M. J., Cady-Pereira, K., Boukabara, S., and Brown, P. D., Atmospheric radiative transfer modeling: a summary of the AER codes, J. Quant. Spectrosc. Ra., 91, 233–244, 2005
  • Foley, K. M., Roselle, S. J., Appel, K. W., Bhave, P. V., Pleim, J. E., Otte, T. L., Mathur, R., Sarwar, G., Young, J. O., Gilliam, R. C., Nolte, C. G., Kelly, J. T., Gilliland, A. B., and Bash, J. O.: Incremental testing of the Community Multiscale Air Quality (CMAQ) modeling system version 4.7, Geosci. Model Dev., 3, 205–226, doi:10.5194/gmd-3-205-2010, 2010
  • Gilliam, R.C., J. M. Godowitch, and S. T. Rao, Improving the horizontal transport in the lower troposphere with four dimensional data assimilation, Atmospheric Environment, Volume 53, June 2012, Pages 186-201, ISSN 1352-2310, http://dx.doi.org/10.1016/j.atmosenv.2011.10.064
  • Kain, J. S.: The Kain-Fritsch convective parameterization: an update, J. Appl. Meteorol., 43, 170–181, 2004
  • Morrison, H., G. Thompson, V. Tatarskii, 2009: Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes. Mon. Wea. Rev., 137, 991–1007.
  • doi: http://dx.doi.org/10.1175/2008MWR2556.1
  • Pleim, J. E.: A combined local and nonlocal closure model for the atmospheric boundary layer. Part I: model description and testing, J. Appl. Meteorol. Clim., 46, 1383–1395, 2007a.
  • Pleim, J. E.: A combined local and nonlocal closure model for the atmospheric boundary layer. Part II: application and evaluation in a mesoscale meteorological model, J. Appl. Meteorol. Clim., 46, 1396–1409, 2007b
  • Pleim, J. E. and Gilliam, R.: An indirect data assimilation scheme for deep soil temperature in the Pleim-Xiu land surface model, J. Appl. Meteorol. Clim., 48, 1362–1376, 2009.
  • Pleim, J.; Ran, L. Surface Flux Modeling for Air Quality Applications. Atmosphere 2011, 2, 271-302
  • Pleim, J. E. and Xiu, A.: Development of a land surface model. Part II: data assimilation, J. Appl. Meteorol., 42, 1811–1822, 2003
  • Sarwar, G., Appel, K. W., Carlton, A. G., Mathur, R., Schere, K., Zhang, R., and Majeed, M. A.: Impact of a new condensed toluene mechanism on air quality model predictions in the US, Geosci. Model Dev., 4, 183-193, doi:10.5194/gmd-4-183-2011, 2011
  • Schwede, D., Pouliot, G. A., and Pierce, T.: Changes to the Biogenic Emissions Inventory System Version 3 (BEIS3), In Proceedings of the 4th CMAS Models-3 Users’ Conference, Chapel Hill, NC, 26–28 September 2005
  • Simon, H., Bhave, P.V.; Simulating the degree of oxidation in atmospheric organic particles. Environ. Sci. Technol. 2012, 46, 331-339
  • Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D. M., Duda, M. G., Huang, X.-Y., Wang, W., and Powers, J. G.: A description of the Advanced Research WRF version 3, National Center for Atmospheric Research Tech. Note, NCAR/TN- 475+STR, 113 pp., 2008
  • Vukovich, J. and Pierce, T.: The Implementation of BEIS3 within the SMOKE Modeling Framework, in: Proceedings of the 11th International Emissions Inventory Conference, Atlanta, Georgia, available at: www.epa.gov/ttn/chief/conference/ei11/modeling/vukovich.pdf, 15–18 April 2002
  • Whitten, G. Z., Heo, G., Kimura, Y., McDonald-Buller, E., Allen, D., Carter, W. P. L., and Yarwood, G.: A new condensed toluene mechanism for Carbon Bond: CB05-TU, Atmos. Environ., 44, 5346–5355, 2010.
  • Wong, D. C., Pleim, J., Mathur, R., Binkowski, F., Otte, T., Gilliam, R., Pouliot, G., Xiu, A., Young, J. O., and Kang, D.: WRF-CMAQ two-way coupled system with aerosol feedback: software development and preliminary results, Geosci. Model Dev., 5, 299-312, doi:10.5194/gmd-5-299-2012, 2012
  • Xiu, A. and Pleim, J. E.: Development of a land surface model. Part I: application in a mesoscale meteorological model, J. Appl. Meteorol., 40, 192–209, 2001
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