Abstract

The Community Multiscale Air Quality (CMAQ) modeling system is extended to simulate ozone, particulate matter, and related precursor distributions throughout the Northern Hemisphere. Modelled processes were examined and enhanced to suitably represent the extended space and time scales for such applications. Hemispheric scale simulations with CMAQ and the Weather Research and Forecasting (WRF) model are performed for multiple years. Model capabilities for a range of applications including episodic long-range pollutant transport, long-term trends in air pollution across the Northern Hemisphere, and air pollution-climate interactions are evaluated through detailed comparison with available surface, aloft, and remotely sensed observations. The expansion of CMAQ to simulate the hemispheric scales provides a framework to examine interactions between atmospheric processes occurring at various spatial and temporal scales with physical, chemical, and dynamical consistency.

Highlights

  • Comprehensive atmospheric chemistry transport models must constantly evolve to address the increasing complexity arising from emerging applications that treat multi-pollutant interactions on urban to hemispheric spatial scales and hourly to annual temporal scales

  • Though significant seasonal variability is noted in the free troposphere (FT) fractional contributions to surface-level background concentrations, the contributions are still substantial during other seasons and expectedly the highest contributions are seen in the high-elevation regions of the western United States across all seasons

  • To overcome some of these challenges and to develop a more robust representation of stratosphere–troposphere exchange (STE) impacts, we have recently developed a dynamic O3–potential vorticity (PV) function based on 21year ozonesonde records from the World Ozone and Ultraviolet Radiation Data Centre (WOUDC) with corresponding PV values from Weather Research and Forecasting (WRF)-Community Multiscale Air Quality (CMAQ) simulation across the Northern Hemisphere from 1990 to 2010

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Summary

Introduction

Based on typical advective timescales, it can further be postulated that in limited-area chemistry transport models, this free-tropospheric variability in simulated concentrations is largely dictated by the specification of lateral boundary conditions (LBCs) This is exemplified, which illustrates the influence of LBC specification on simulated surface-level concentrations across a typical regional modeling domain covering the contiguous United States; the spaceand time-varying LBCs themselves were derived from the global Integrated Forecasting System of the European Center for Medium-Range Weather Forecasts (ECMWF) (Flemming et al, 2015). Though significant seasonal variability is noted in the FT fractional contributions to surface-level background concentrations, the contributions are still substantial during other seasons and expectedly the highest contributions are seen in the high-elevation regions of the western United States across all seasons These results clearly illustrate the importance of accurately characterizing the long-range transport that occurs in the FT and its influence on surface background pollution levels via subsidence and entrainment into the BL.

Model setup and process enhancements
Domain and grid configuration
Coupling of WRF and CMAQ and initialization
Emissions
Global emission inventories
Windblown dust
Emissions in marine environments
Enhancements to gas-phase chemistry
Organic nitrate lifetime
Representation of marine environments
Alternate gas-phase mechanism
Representing impacts of stratosphere–troposphere exchange on O3 distributions
Comparing model predictions with measurements from the 2006 INTEX-B campaign
Assessing the influence of stratosphere–troposphere exchange on surface O3
Comparison of O3 predictions using the RACM and CB05 mechanisms
Simulating long-term trends in tropospheric composition
Assessment of representation of aerosol direct radiative effects
Findings
Summary and concluding remarks
Full Text
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