<?xml version="1.0" encoding="utf-8" standalone="no"?>
<!DOCTYPE article SYSTEM "http://www.geosci-model-dev-discuss.net/inc/gmdd/copernicus.dtd">
<article language="en">
	<journal>
		<journal_title>Geoscientific Model Development Discussions</journal_title>
		<journal_url>www.geosci-model-dev-discuss.net</journal_url>
		<issn>1991-9611</issn>
		<eissn>1991-962X</eissn>
		<volume_number>2</volume_number>
		<issue_number>2</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/gmdd-2-1449-2009</doi>
	<article_url>http://www.geosci-model-dev-discuss.net/2/1449/2009/</article_url>
	<abstract_html>http://www.geosci-model-dev-discuss.net/2/1449/2009/gmdd-2-1449-2009.html</abstract_html>
	<fulltext_pdf>http://www.geosci-model-dev-discuss.net/2/1449/2009/gmdd-2-1449-2009.pdf</fulltext_pdf>
	<start_page>1449</start_page>
	<end_page>1486</end_page>
	<publication_date>2009-12-15</publication_date>
	<article_title content_type="html">The Meteorology-Chemistry Interface Processor (MCIP) for the CMAQ modeling system</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>T. L. Otte</name>
			<email>otte.tanya@epa.gov</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>J. E. Pleim</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">US Environmental Protection Agency, Research Triangle Park, NC, USA</affiliation>
	</affiliations>
	<abstract content_type="html">The Community Multiscale Air Quality (CMAQ) modeling system, a
state-of-the-science regional air quality modeling system developed by the
US Environmental Protection Agency, is being used for a variety of
environmental modeling problems including regulatory applications, air
quality forecasting, evaluation of emissions control strategies,
process-level research, and interactions of global climate change and
regional air quality. The Meteorology-Chemistry Interface Processor (MCIP) is
a vital piece of software within the CMAQ modeling system that serves to, as
best as possible, maintain dynamic consistency between the meteorological
model and the chemical transport model. MCIP acts as both a post-processor to
the meteorological model and a pre-processor to the CMAQ modeling system.
MCIP&apos;s functions are to ingest the meteorological model output fields in
their native formats, perform horizontal and vertical coordinate
transformations, diagnose additional atmospheric fields, define gridding
parameters, and prepare the meteorological fields in a form required by the
CMAQ modeling system. This paper provides an updated overview of MCIP,
documenting the scientific changes that have been made since it was first
released as part of the CMAQ modeling system in 1998.</abstract>
	<references>
		<reference numeration="1" content_type="text"> Arakawa, A. and Lamb, V.: Computational design of the basic dynamical processes of the UCLA general circulation model, Methods in Computational Physics, 17, 173–265, 1977. </reference>
		<reference numeration="2" content_type="text"> Black, T.: The new NMC mesoscale Eta model: Description and forecast examples, Weather Forecast., 9, 265–278, 1994. </reference>
		<reference numeration="3" content_type="text"> Byun, D. W.: Dynamically consistent formulations in the meteorological and air quality models for multiscale atmospheric studies. Part I: Governing equations in a generalized coordinate system, J. Atmos. Sci., 56, 3789–3807, 1999. </reference>
		<reference numeration="4" content_type="text"> Byun, D. W. and Ching, J. K. S. (Eds.): Science algorithms of the EPA Models-3 Community Multiscale Air Quality (CMAQ) Modeling System, US Environmental Protection AgencyReport, EPA-600/R-99/030, 727~pp., 1999. </reference>
		<reference numeration="5" content_type="text"> Byun, D. W., Pleim, J. E., Tang, R. T., and Bourgeois, A.: Meteorology-Chemistry Interface Processor (MCIP) for Models-3 Community Multiscale Air Quality (CMAQ) Modeling System, in: Science algorithms of the EPA Models-3 Community Multiscale Air Quality (CMAQ) Modeling System, edited by: Byun, D. W. and Ching, J. K. S., US Environmental Protection Agency Report, EPA-600/R-99/030, 12-1–12-91, 1999. </reference>
		<reference numeration="6" content_type="text"> 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. </reference>
		<reference numeration="7" content_type="text"> Byun, D. W., Song, C.-K., Percell, P. B., Pleim, J., Otte, T., Young, J., and Mathur, R.: Linkage between WRF/NMM and CMAQ models, in: Presentation at 5th Annual CMAS Conference, Chapel Hill, NC, available at: www.cmascenter.org, 16–18 October 2006. </reference>
		<reference numeration="8" content_type="text"> Côté, J., Gravel, S., Méthot, A., Patoine, A., Roch, M., and Staniforth, A.: The operational CMC-MRB Global Environmental Multiscale (GEM) model. Part~I: Design considerations and formulation, Mon. Weather Rev., 126, 1373–1395, 1998. </reference>
		<reference numeration="9" content_type="text"> Grell, G. A., Dudhia, J., and Stauffer, D. R.: A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5), National Center for Atmospheric ResearchTech Note, NCAR/TN-398+STR, 138~pp., 1994. </reference>
		<reference numeration="10" content_type="text"> Janjic, Z. I., Gerrity Jr., J. P., and Nickovic, S.: A new approach to nonhydrostatic modeling, Mon. Weather Rev., 129, 1164–1178, 2001. </reference>
		<reference numeration="11" content_type="text"> Jiang, W., Roth, H., and Smyth, S. C.: Comparison of MAQM and CMAQ model science, input/output files, and modelling results of a test case, in: Presentation at 7th Annual CMAS Conference, Chapel Hill, NC, available at: www.cmascenter.org, 6–8 October 2008. </reference>
		<reference numeration="12" content_type="text"> Jöckel, P., von Kuhlmann, R., Lawrence, M. G., Steil, B. Brenninkmeijer, C. A. M., Crutzen, P. J., Rasch, P. J., and Eaton, B.: On a fundamental problem in implementing flux-form advection schemes for tracer transport in 3-dimensional general circulation and chemistry transport models, Q. J. Roy. Meteor. Soc., 127, 1035–1052, 2001. </reference>
		<reference numeration="13" content_type="text"> Lee, P., McKeen, S., McQueen, J., Kang, D., Tsidulko, M.. Lu, S., Lin, H.-M., DiMego, G., Seaman, N., and Davidson, P.: Air quality forecast using the WRF/NMM-CMAQ during the TexAQS, 9th Conference on Atmospheric Chemistry, American Meteorological Society, Atlanta, GA, paper~1.6, 12~pp., 2007. </reference>
		<reference numeration="14" content_type="text"> Lee, S.-M., Yoon, S.-C., and Byun, D. W.: The effect of mass inconsistency of the meteorological field generated by a common meteorological model on air quality modeling, Atmos. Environ., 38, 2917–2926, 2004. </reference>
		<reference numeration="15" content_type="text"> Mathur, R., Shankar, U., Hanna, A. F., Odman, M. T., McHenry, J. N., Coats, C. J. Jr., Alapaty, K., Xiu, A., Arunachalam, S., Olerud, D. T. Jr., Byun, D. W., Schere, K. L., Binkowski, F. S., Ching, J. K. S., Dennis, R. L., Pierce, T. E., Pleim, J. E., Roselle, S. J., and Young, J. O.: Multiscale Air Quality Simulation Platform (MAQSIP): Initial applications and performance for tropospheric ozone and particulate matter, J. Geophys. Res., 110, D13308, doi:10.1029/2004JD004918, 2005. </reference>
		<reference numeration="16" content_type="text"> Otte, T. L., Pouliot, G., Pleim, J. E., Young, J. O., Schere, K. L., Wong, D. C., Lee, P. C. S., Tsidulko, M., McQueen, J. T., Davidson, P., Mathur, R., Chuang, H.-Y., DiMego, G., and Seaman, N. L.: Linking the Eta Model with the Community Multiscale Air Quality (CMAQ) modeling system to build a national air quality forecasting system, Weather Forecast., 20, 367–384, 2005. </reference>
		<reference numeration="17" content_type="text"> Pielke, R. A., Cotton, W. R., Walko, R. L., Tremback, C. J., Lyons, W. A., Grasso, L. D., Nicholls, M. E., Moran, M. D., Wesley, D. A., Lee, T. J., and Copeland, J. H.: A comprehensive meteorological modeling system – RAMS, Meteorol. Atmos. Phys., 49, 69–91, 1992. </reference>
		<reference numeration="18" content_type="text"> Pleim, J. E., Xiu, A., Finkelstein, P. L., and Otte, T. L.: A coupled land-surface and dry deposition model and comparison to field measurements of surface heat, moisture, and ozone fluxes, Water Air Soil Poll.: Focus, 1, 243–252, 2001. </reference>
		<reference numeration="19" content_type="text"> Pleim, J. E. and Xiu, A.: Development of a land surface model. Part II: Data assimilation, J. Appl. Meteorol., 42, 1811–1822, 2003. </reference>
		<reference numeration="20" content_type="text"> 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. </reference>
		<reference numeration="21" content_type="text"> 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. </reference>
		<reference numeration="22" content_type="text"> Pleim, J., Young, J., Wong, D., Gilliam, R., Otte, T., and Mathur, R.: Two-way coupled meteorology and air quality modeling. Air Pollution Modeling and Its Application XIX, Springer, New York, NY, 235–242, doi:10.1007/978-1-4020-8453-9_26, 2008. </reference>
		<reference numeration="23" content_type="text"> Pour-Biazar, A., McNider, R. T., Roselle, S. J., Suggs, R., Jedlovec, G., Byun, D. W., Kim, S., Lin, C. J., Ho, T. C., Haines, S., Dornblaser, B., and Cameron, R.: Correcting photolysis rates on the basis of satellite observed clouds, J. Geophys. Res., 112, D10302, doi:10.1029/2006JD007422, 2007. </reference>
		<reference numeration="24" content_type="text"> 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. </reference>
		<reference numeration="25" content_type="text"> Smyth, S. C., Yin, D., Roth, H., Jiang, W., Moran, M. D., and Crevier, L.-P.: The impact of GEM and MM5 modeled meteorological conditions on CMAQ air quality modeling results in eastern Canada and the northeastern United States, J. Appl. Meteorol. Clim., 45, 1525–1541, 2006. </reference>
		<reference numeration="26" content_type="text"> Stohl, A., Cooper, O. R., and James, P.: A cautionary note on the use of meteorological analysis fields for quantifying atmospheric mixing, J. Atmos. Sci., 61, 1446–1453, 2004. </reference>
		<reference numeration="27" content_type="text"> Sugata, S., Byun, D. W., and Uno, I.: Simulation of sulfate aerosol in East Asia using Models-3/CMAQ with RAMS meteorological data, in: Air Pollution Modeling and Its Application XIV, Springer, New York, NY, 267–275, doi:10.1007/0-306-47460-3_27, 2001. </reference>
	</references>
</article>

