Science Inventory

Ozone deposition modelling within the Air Quality Model Evaluation International Initiative (AQMEII)

Citation:

Galmarini, S. AND C. Hogrefe. Ozone deposition modelling within the Air Quality Model Evaluation International Initiative (AQMEII). Ozone Dry Deposition: Constraints from multiplatform observations and multi-scale modeling, Palisades, NY, October 05 - 06, 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:

This presentation provides an overview of the Air Quality Model Evaluation International Initiative (AQMEII). It contains a synopsis of the three phases of AQMEII, including objectives, logistics, and timelines. It also provides a number of examples of analyses conducted through AQMEII with a particular focus on past and planned future analyses of deposition. A specific focus will be on the ozone deposition model results and monitoring data received and so far never analysed. The overall objective is to quantify primarily and operationally differences in ozone deposition modelling. The analysis and the presentation will also have the scope to identify issues to be addressed in a possible future model evaluation activity (AQMEII4) of regional scale models that would focus specifically on deposition. The impact of deposition on the over all model error will also be presented as determined in a more detailed evaluation of two models in Phase 3.

Record Details:

Record Type:DOCUMENT( PRESENTATION/ SLIDE)
Product Published Date:10/06/2017
Record Last Revised:10/12/2017
OMB Category:Other
Record ID: 337850