Science Inventory

Modeling and Measurements to Improve Bidirectional Exchange in CMAQ

Citation:

Bash, J., Johnt Walker, E. Cooter, AND D. Schwede. Modeling and Measurements to Improve Bidirectional Exchange in CMAQ. 4th Biannual Western Modeling Workshop, Boulder, CO, September 06 - 09, 2017.

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:

Ammonia, NH3, is an emerging atmospheric pollutant of interest. It is an aerosol precursor and growing constituent of nitrogen deposition. In this presentation, the bidirectional exchange model for NH¬3 in the Community Multiscale Air Quality (CMAQ) model will be reviewed and evaluated. The current parameterization captures annual continental U.S. wide mean observations well but exhibit large regional and seasonal biases. Ambient NH3 concentrations and NHx (ammonia + ammonium) wet deposition are typically underestimated in the Western states with the largest underestimates occurring in the spring. Ongoing measurements to support existing and future model development will be presented and discussed.

Record Details:

Record Type:DOCUMENT( PRESENTATION/ POSTER)
Product Published Date:09/09/2017
Record Last Revised:09/26/2017
OMB Category:Other
Record ID: 337693