Assessing PM_2.5 Model Performance for the Conterminous U.S. with Comparison to Model Performance Statistics from 2007-2015.

ABSTRACT: Previous studies have proposed that model performance statistics from earlier photochemical grid model (PGM) applications can be used to benchmark performance in new PGM applications. A challenge in implementing this approach is that limited information is available on consistently calculated model performance statistics that vary spatially and temporally over the U.S. Here, a consistent set of model performance statistics are calculated by year, season, region, and monitoring network for PM_2.5 and its major components using simulations from versions 4.7.1-5.2.1 of the Community Multiscale Air Quality (CMAQ) model for years 2007-2015. The multi-year set of statistics is then used to provide quantitative context for model performance results from the 2015 simulation. Model perfor

SUBMITTER: Kelly JT 

PROVIDER: S-EPMC6859642 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature