Aerosols and Clouds
Regional chemical weather forecasting system CFORS: Model descriptions and analysis of surface observations at Japanese island stations during the ACE-Asia experiment
Article first published online: 7 AUG 2003
DOI: 10.1029/2002JD002845
Copyright 2003 by the American Geophysical Union.
Issue
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Journal of Geophysical Research: Atmospheres (1984–2012)
Volume 108, Issue D23, 16 December 2003
Additional Information
How to Cite
, et al. (2003), Regional chemical weather forecasting system CFORS: Model descriptions and analysis of surface observations at Japanese island stations during the ACE-Asia experiment, J. Geophys. Res., 108, 8668, doi:10.1029/2002JD002845, D23.
Publication History
- Issue published online: 7 AUG 2003
- Article first published online: 7 AUG 2003
- Manuscript Accepted: 17 APR 2003
- Manuscript Revised: 25 MAR 2003
- Manuscript Received: 14 AUG 2002
- Abstract
- Article
- References
- Cited By
Keywords:
- chemical transport model;
- dust;
- aerosol;
- ACE-Asia;
- observation;
- aerosol optical thickness
[1] The Chemical Weather Forecast System (CFORS) is designed to aid in the design of field experiments and in the interpretation/postanalysis of observed data. The system integrates a regional chemical transport model with a multitracer, online system built within the Regional Atmospheric Modeling System (RAMS) mesoscale model. CFORS was deployed in forecast and postanalysis modes during the NASA Global Tropospheric Experiment (GTE)-Transport and Chemical Evolution over the Pacific (TRACE-P), International Global Atmospheric Chemistry project (IGAC)-International Geosphere-Biosphere Programme (IGBP) Asian Pacific Regional Aerosol Characterization Experiment (ACE-Asia), and National Oceanic and Atmospheric Administration Intercontinental Transport and Chemical Transformation of Anthropogenic Pollution 2002 (ITCT 2K2) field studies. A description of the CFORS model system is presented. The model is used to help interpret the Variability of Maritime Aerosol Properties (VMAP) surface observation data. The CFORS model results help to explain the time variation of both anthropogenic pollutants (sulfate, black carbon, and CO) and natural constituents including radon and mineral dust. Time series and time-height cross-section analysis of gases and aerosols are presented to help identify key processes. Synoptic-scale weather changes are found to play an important role in the continental-scale transport of pollution in the springtime in East Asia. The complex vertical and horizontal structure of pollutants in these outflow events is also presented and discussed.

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