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Guiding Model Applications and Development Through Model Evaluation and Intercomparison Activities
Citation:
Hogrefe, C., K. Foley, Keith Appel, S. Roselle, AND R. Mathur. Guiding Model Applications and Development Through Model Evaluation and Intercomparison Activities. Symposium on Model Development and Application Contributing to Effective Strategy Making, Tokyo, JAPAN, February 18, 2019.
Impact/Purpose:
Evaluating air quality modeling systems such as CMAQ against available observations is key to building confidence in their use for regulatory applications and to guide future model development. The presentation provides an overview of four different aspects of air quality model evaluation (operational, diagnostic, dynamic, and probabilistic) in the context of supporting air quality planning applications. It is aimed at stimulating discussions by symposium participants on identifying high priority items for future model evaluation research. Such future research would benefit air quality modeling at the USEPA and the wider air quality modeling community.
Description:
This presentation provides an overview of research on air quality model evaluation being performed at USEPA. The overview is structured according to the model evaluation framework proposed by Dennis et al. (2010). Examples are provided for advances in operational evaluation, diagnostic evaluation, dynamic evaluation, and probabilistic evaluation. The work is presented in the context of supporting air quality planning applications.