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Key Issues for Seamless Integrated Chemistry–Meteorology Modeling
Citation:
Baklanov, A., D. Brunner, G. Carmichael, J. Flemming, S. Freitas, M. Gauss, &. Hov, R. Mathur, K. Schlünzen, C. Seigneur, AND B. Vogel. Key Issues for Seamless Integrated Chemistry–Meteorology Modeling. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY. American Meteorological Society, Boston, MA, 98:2285–2292, (2018).
Impact/Purpose:
This article details the development of air quality simulation models: model development activities for tropospheric ozone, particulate matter, and hazardous air pollutants.
Description:
Online coupled meteorology–atmospheric chemistry models have greatly evolved in recent years. Although mainly developed by the air quality modeling community, these integrated models are also of interest for numerical weather prediction and climate modeling, as they can consider both the effects of meteorology on air quality and the potentially important effects of atmospheric composition on weather. This paper summarizes the main conclusions from the “Symposium on Coupled Chemistry–Meteorology/Climate Modelling: Status and Relevance for Numerical Weather Prediction, Air Quality and Climate Research,” which was initiated by the European COST Action ES1004 “European Framework for Online Integrated Air Quality and Meteorology Modelling (EuMetChem).” It offers a brief review of the current status of online coupled meteorology and atmospheric chemistry modeling and a survey of processes relevant to the interactions between atmospheric physics, dynamics, and composition. In addition, it highlights scientific issues and emerging challenges that require proper consideration to improve the reliability and usability of these models for three main application areas: air quality, meteorology (including weather prediction), and climate modeling. It presents a synthesis of scientific progress in the form of answers to nine key questions, and provides recommendations for future research directions and priorities in the development, application, and evaluation of online coupled models.
