Abstract
The National Air Quality Forecast Capability (NAQFC) is based on the EPA Community Multiscale Air Quality (CMAQ) model driven by meteorological data from the NOAA North American Mesoscale (NAM) Non-hydrostatic Meso-scale Model (NMM). Currently, NMM meteorological data on Arakawa E-grid are interpolated on a CMAQ’s Arakawa C-grid using the processors PRODGEN and PREMAQ to handle map-projection transform, vertical layer collapsing, and other emission and meteorological data feed issues. The FY11 pre-implementation version of NAM has undergone significant changes in the vertical layering, horizontal grid projection and improved science components for its FY11 upcoming major upgrade release. This provides an opportunity to improve the coupling methodology between NMM and CMAQ that reduces uncertainties both in the meteorological and emission inputs for the off-line air quality modeling and helps development of on-line NMM-CMAQ version. Three major tasks are needed to achieve a tighter coupling between them: (1) Adapt to NAM’s vertical hybrid pressure and grid structure; (2) Change CMAQ to use the same rotated latitude longitude B staggered horizontal grid structure as NAM, (3) Modify emission model to provide generic inputs for the B staggered grid and hybrid vertical structure of NAM. The first task achieves consistent matching of dynamics between the two systems, despite the possible necessity of layer-collapsing to fit within operational time-lines. The second task removes unnecessary interpolation of meteorology data for air quality simulations. The third task involves modification of the U.S. EPA Sparse Matrix Object Kernel Emission (SMOKE) model to handle the staggered B grid. At this time only the first of these three steps has been accomplished, and the test result from this test focusing on the selected test period has been compared to that produced by the operational NAQFC. Further work with all these three modifications concurrently in place is underway.
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References
Byun D, Schere KL (2006) 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
Byun D, Percell P, Ngan F, Kim S (2008) Final report: Testing the linkage between WRF-NMM and CMAQ Models, prepared for K. Schere and R. Mathur, Atmospheric Resources laboratory, NOAA, pp 1–84
Hogrefe C, Rao ST, Kasibhatla P, Hao W, Sistla G, Mathur R, McHenry J (2001) Evaluating the performance of regional-scale photochemical modeling systems: part II—ozone predictions. Atmos Environ 35(24):4175–4188. doi:10.1016/S1352-2310(01)00183-2
Janjic ZI (2003) A nonhydrostatic model based on a new approach. Meteorol Atmos Phys 82:271–285. doi:10.1007/s00703-001-0587-6
Otte TL, Pouliot G, Pleim JE, Young JO, Schere KL, Wong DC, Lee PCS, Tsidulko M, McQueen JT, Davidson P, Mathur R, Chuang HY, DiMego G, Seaman NL (2005) Linking the Eta model with the community multiscale air quality (CMAQ) modeling system to build a national air quality forecasting system. Weather Forecasting 20(3):367–384
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Lee, P. et al. (2011). Incremental Development of Air Quality Forecasting System with Off-Line/On-Line Capability: Coupling CMAQ to NCEP National Mesoscale Model. In: Steyn, D., Trini Castelli, S. (eds) Air Pollution Modeling and its Application XXI. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1359-8_32
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DOI: https://doi.org/10.1007/978-94-007-1359-8_32
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