Regional chemical weather forecasting system CFORS: Model descriptions and analysis of surface observations at Japanese island stations during the ACE‐Asia experiment

[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.

[1]  Nobuo Sugimoto,et al.  Continuous observations of Asian dust and other aerosols by polarization lidars in China and Japan during ACE-Asia , 2004 .

[2]  H. Tanimoto,et al.  Chemical properties and outflow patterns of anthropogenic and dust particles on Rishiri Island during the Asian Pacific Regional Aerosol Characterization Experiment (ACE-Asia) , 2003 .

[3]  Kiyoshi Matsumoto Simultaneous measurements of particulate elemental carbon on the ground observation network over the western North Pacific during the ACE‐Asia campaign , 2003 .

[4]  Young-Joon Kim,et al.  An overview of ACE‐Asia: Strategies for quantifying the relationships between Asian aerosols and their climatic impacts , 2003 .

[5]  G. Carmichael,et al.  Analysis of surface black carbon distributions during ACE-Asia using a regional-scale aerosol model , 2003 .

[6]  David G. Streets,et al.  Regional‐scale chemical transport modeling in support of the analysis of observations obtained during the TRACE‐P experiment , 2003 .

[7]  G. Carmichael,et al.  Evaluating regional emission estimates using the TRACE‐P observations , 2003 .

[8]  Michael Q. Wang,et al.  An inventory of gaseous and primary aerosol emissions in Asia in the year 2000 , 2003 .

[9]  John C. Gille,et al.  Transport and Chemical Evolution over the Pacific (TRACE-P) aircraft mission: Design, execution, and first results , 2003 .

[10]  C. Zender,et al.  Mineral Dust Entrainment and Deposition (DEAD) model: Description and 1990s dust climatology , 2003 .

[11]  Ian G. McKendry,et al.  Characterization of soil dust aerosol in China and its transport and distribution during 2001 ACE-Asia: 2. Model simulation and validation , 2003 .

[12]  Teruyuki Nakajima,et al.  Observation of dust and anthropogenic aerosol plumes in the Northwest Pacific with a two‐wavelength polarization lidar on board the research vessel Mirai , 2002 .

[13]  Mark Lawrence,et al.  Global chemical weather forecasts for field campaign planning: predictions and observations of large-scale features during MINOS, CONTRACE, and INDOEX , 2002 .

[14]  Itsushi Uno,et al.  Transport of mineral and anthropogenic aerosols during a Kosa event over East Asia , 2002 .

[15]  Jung-Hun Woo,et al.  The MICS-Asia study: Model intercomparison of long-range transport and sulfur deposition in East Asia , 2002 .

[16]  G. Kallos,et al.  A model for prediction of desert dust cycle in the atmosphere , 2001 .

[17]  Nobuo Sugimoto,et al.  Trans‐Pacific yellow sand transport observed in April 1998: A numerical simulation , 2001 .

[18]  M. Lawrence Evaluating trace gas sampling strategies with assistance from a global 3D photochemical model: case studies for CEPEX and NARE O3 profiles , 2001 .

[19]  Hajime Akimoto,et al.  The atmospheric impact of boreal forest fires in far eastern Siberia on the seasonal variation of carbon monoxide: Observations at Rishiri, A northern remote island in Japan , 2000 .

[20]  Hajime Okamoto,et al.  Global three‐dimensional simulation of aerosol optical thickness distribution of various origins , 2000 .

[21]  Øystein Hov,et al.  Chemical forecasts used for measurement flight planning during POLINAT 2 , 2000 .

[22]  D. Byun Science algorithms of the EPA Models-3 community multi-scale air quality (CMAQ) modeling system , 1999 .

[23]  Colin Price,et al.  Vertical distributions of lightning NOx for use in regional and global chemical transport models , 1998 .

[24]  Charles E. Brown Coefficient of Variation , 1998 .

[25]  D. Blake,et al.  On the significance of regional trace gas distributions as derived from aircraft campaigns in PEM‐West A and B , 1997 .

[26]  B. Marticorena,et al.  Factors controlling threshold friction velocity in semiarid and arid areas of the United States , 1997 .

[27]  Martyn P. Chipperfield,et al.  Evaluation and intercomparison of global atmospheric transport models using 222Rn and other short-lived tracers , 1997 .

[28]  Martyn P. Chipperfield,et al.  Three‐dimensional chemical forecasting: A methodology , 1997 .

[29]  Jean-Pierre Blanchet,et al.  Modeling sea-salt aerosols in the atmosphere 1. Model development , 1997 .

[30]  S. Emori,et al.  A simple extension of the Louis method for rough surface layer modelling , 1995 .

[31]  W. Cotton,et al.  New RAMS cloud microphysics parameterization part I: the single-moment scheme , 1995 .

[32]  B. Marticorena,et al.  Modeling the atmospheric dust cycle: 1. Design of a soil-derived dust emission scheme , 1995 .

[33]  Y. Tonooka,et al.  Annual Contribution of Volcanic Sulfur Dioxide Emissions to the Atmosphere in Japan , 1992 .

[34]  R. Pielke,et al.  A comprehensive meteorological modeling system—RAMS , 1992 .

[35]  Tsengdar J. Lee The impact of vegetation on the atmospheric boundary layer and convective storms , 1992 .

[36]  Ranjit M. Passi,et al.  Modeling dust emission caused by wind erosion , 1988 .

[37]  L. K. Peters,et al.  A second generation model for regional-scale transport/chemistry/deposition , 1986 .

[38]  William R. Cotton,et al.  A one-dimensional simulation of the stratocumulus-capped mixed layer , 1983 .

[39]  G. d’Almeida,et al.  Number, Mass and Volume Distributions of Mineral Aerosol and Soils of the Sahara , 1983 .

[40]  G. Mellor,et al.  Development of a turbulence closure model for geophysical fluid problems , 1982 .

[41]  J. Louis A parametric model of vertical eddy fluxes in the atmosphere , 1979 .

[42]  G. Mellor,et al.  A Hierarchy of Turbulence Closure Models for Planetary Boundary Layers. , 1974 .