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Development and evaluation of the coupled MPAS-CMAQ model system
Citation:
Willison, J., Jon Pleim, D. Wong, R. Gilliam, R. Bullock, J. Herwehe, C. Hogrefe, G. Pouliot, AND R. Mathur. Development and evaluation of the coupled MPAS-CMAQ model system. MPAS Meeting, Virtual, CO, June 07 - 09, 2022.
Impact/Purpose:
The USEPA has embarked on an effort to couple the Model for Prediction Across Scales – Atmosphere (MPAS-A) with the latest version of the Community Multiscale Air Quality (CMAQv5.3) model developed at the USEPA. This new tool enables modeling of air quality from global to regional to local scales. In this presentation we will discuss the motivation, design, and testing of the coupled MPAS-CMAQ system. We will show results from a multi-year evaluation of global chemistry driven by the EPA-enhanced version of MPAS-A on a 120 km uniform mesh. We will also show a July 2016 simulation using a 92-25 km global mesh with refinement over North America. Air quality evaluation includes comparisons with WOUDC ozonesondes and surface-based measurement networks. In addition, we contextualize our results with comparisons to atmospheric compositions as simulated by the GEOS Composition Forecasting (GEOS-CF) system and the CAMS global reanalysis. This work will be of interest to partners seeking high-resolution air quality modeling results within a global context.
Description:
The USEPA has embarked on an effort to couple the Model for Prediction Across Scales – Atmosphere (MPAS-A) with the latest version of the Community Multiscale Air Quality (CMAQv5.3) model developed at the USEPA. This new tool enables modeling of air quality from global to regional to local scales. In this presentation we will discuss the motivation, design, and testing of the coupled MPAS-CMAQ system. We will show results from a multi-year evaluation of global chemistry driven by the EPA-enhanced version of MPAS-A on a 120 km uniform mesh. The EPA modifications to MPAS include the addition of four-dimensional data assimilation (FDDA), the ACM2 PBL model, and PX land surface model. We will also show a July 2016 simulation using a 92-25 km global mesh with refinement over North America. Global emissions from EDGAR-HTAP are combined with the EPA National Emission Inventory for the United States. Biogenic emissions are provided by inline Model of Emissions of Gases and Aerosol from Nature (MEGANv3.1). Global ozone fields from the ECMWF’s Copernicus Atmosphere Monitoring Service (CAMS) are used for initialization and for stratospheric ozone data assimilation in the upper layers of the model for the entire simulation periods. Air quality evaluation includes comparisons with WOUDC ozonesondes and surface-based measurement networks. In addition, we contextualize our results with comparisons to atmospheric compositions as simulated by the GEOS Composition Forecasting (GEOS-CF) system and the CAMS global reanalysis.