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Influence of Boundary Conditions on Regional Air Quality Simulations-Analysis of AQMEII Phase 3 Results
Citation:
Hogrefe, C., U. Nopcmongcol, J. Bieser, U. Im, J. Christensen, G. Pouliot, R. Mathur, AND S. Roselle. Influence of Boundary Conditions on Regional Air Quality Simulations-Analysis of AQMEII Phase 3 Results. 35th International Technical Meeting on Air Pollution Modelling and its Application, Crete, GREECE, October 03 - 07, 2016.
Impact/Purpose:
The National Exposure Research Laboratory (NERL) Computational Exposure Division (CED) develops and evaluates data, decision-support tools, and models to be applied to media-specific or receptor-specific problem areas. CED uses modeling-based approaches to characterize exposures, evaluate fate and transport, and support environmental diagnostics/forensics with input from multiple data sources. It also develops media- and receptor-specific models, process models, and decision support tools for use both within and outside of EPA.
Description:
This presentation focuses on the dynamic evaluation of the CMAQ model over the continental United States using multi-decadal simulations for the period from 1990 to 2010 to examine how well the changes in observed ozone air quality induced by variations in meteorology and/or emissions are simulated by the model. We applied spectral decomposition of the ozone time-series using the KZ filter to assess the variations in the strengths of synoptic (weather-induced variations) and baseline (long-term variation) forcings, embedded in the simulated and observed concentrations. The results reveal that CMAQ captured the year-to-year variability (more so in the later years than the earlier years) and the synoptic forcing in accordance with what the observations are showing.
