RIAM-Chemical weather FORecasting System (CFORS)
RIAM-Chemical weather FORecasting System (CFORS)
Contact Information:
Gregory R. Carmichael
Department of Chemical & Biochemical Engineering
The University
of Iowa
Iowa City, IA 52242
Telephone: (319) 225-1399
E-mail:
gcarmich@icaen.uiowa.edu
Prof. Itsushi Uno and Mr.
Koji Ishihara
Research Institute for Applied Mechanics
Kyushu
Univ., Japan
E-mail: iuno@riam.kyushu-u.ac.jp
Model Description:
The University of Iowa and Kyushu University are developing and applying an
operational Chemical weather FORecasting System (RIAM-CFORS) based on 3D on-line
regional scale chemical transport model fully coupled with RAMS (Regional
Atmospheric Modeling System).
The basic approach followed to study aerosol/chemical interactions is to
utilize a regional-scale, process oriented model (i.e., STEM-II). The basic
modeling approach, and processes considered are presented at
http://www.cgrer.uiowa.edu/people/carmichael/ACESS/CTM_main.html . The
model is designed as a flexible framework that can run in both on-line and
off-line modes, and consists of a series of plug-and-play modules. The model can
be run with meteorological inputs from MM5, RAMS, or objectively analyzed NCEP or
ECMWF fields. The model includes a size-resolved inorganic aerosol module that
considers aerosol dynamics, surface chemistry, and gas-to-particle exchange. The
aerosol model calculates the aerosol composition of inorganic soluble species
(sodium, potassium, calcium, magnesium, ammonium, sulfate, nitrate, and chloride)
and the distribution of volatile species (ammonium, nitrate, carbonate, and
chloride). The approach taken is to treat gas/particle exchange as a kinetic
process under thermodynamic constraint. This aerosol module has been
incorporated into the three-dimensional model (STEM-II), along with on-line dust
and sea-salt aerosol emissions. More details regarding RIAM-CFORS may be found
at:
http://www.cgrer.uiowa.edu/people/carmichael/ACESS/index.html
The RIAM-CFORS system consists of several important components:
- CFORS ftp manager: Operational global forecast data set access to NCEP
(National
Center for Environmental Prediction) and Asian forecast data set to Japan
Meteorological Agency (JMA) DDB data site.
- RAMS 4.3.0 weather forecast for 72 hours based on the NCEP and JMA data set
as a lateral boundary condition.
- MIRACL 1.4.2 (Module Integrating Regional Atmosphere and ChemicaL transport)
= On-line chemical transport model for important chemical tracers (SO2,
sulfate, mineral dust, black carbon and sea salt etc)
- CFORS web manager: Post-processing of 'chemical weather forecast' results
with 2/3-D graphics into the WWW-page.
One of the main purposes of this system is to understand the regional
transboundary pollution and to schedule/design the operational field monitoring
campaign during the TRACE-P (TRAnsport and Chemical Evolution over the Pacific)
and ACE-Asia (Aerosol Characterization Experiment - Asia) intensive observations.
This system should be running until the end of April 2001. Results of daily
operational forecasting and products will be posted around 0:00Z (9:00JST).
Please note that this site is presented as is and no guarantee is made as to the
timeliness or accuracy of the forecasting data. We reserve the right to take
off-line this site at any time for any reason without warning.
CFORS-RAMS driver:
The parallel version of the RAMS(version 4.3.0) has been used to simulate the
regional scale 3-D meteorological fields with Beowulf type Linux cluster (17 nodes). The simulation domain
adopted is centered at 25N 115E. The horizontal grid consists of 100 by 90 grid points, with
a resolution of 80 km. In the vertical, the domain is divided into 23 layers (top level is
20km).
CFORS-MIRACL Chemical Transport driver:
A tracer model is fully coupled with RAMS, and this is a unique approach because the
regional meteorological conditions such as precipitation, cloud microphysics, diurnal cycle of
boundary-layer turbulence play significant role in the wet deposition and vertical diffusion of
tracers. The on-line tracer model runs with same time step as the RAMS, so that all the
on-line meteorological information such as 3-D wind field, boundary-layer turbulence, surface
fluxes and precipitation amount is directly used by the tracer model at every time step. At
present, the CFORS system includes the following chemical transport species:
- SO2/Sulfate: linear chemistry. Emission from Streets et al. (2000)
- DMS*: simple linear decay rate with on-line emission (function of wind speed).
Conversion from DMS to SO2 is not included yet.
- Volcano tracer*: Natural volcanic SO2 emission are used to tracer of volcano plume
- Megacities tracer*: Megacities (Beijing, Chonching, Seoul, Pusan, Shanghai,
Hongkong) SO2 emission are used as the urban plume tracer.
- Black Carbon/ Organic Carbon: No chemical reaction. Emission from Streets et al.
(2001)
- Sea Salt (2bins) : on-line emission after Gong et al.(1996)
- CO-Fossil* : Fossil consumption base CO
- CO-Biomass buring*: Biomass buring CO
- Hydrocarbons*: Slow(Ethane) and fast (Ethene) reactive hydrocarbon
- Radon*: Land surface emission marker.
- Lighting NOx*: Cumulus activity base lighing NO.
- Mineral Dust (12bins) : on-line emission (function of surface friction velocity)
* indicates that concentration of this species decay as a first order reaction rate.
CFORS: Operational Time Charts:
Operational global forecast data set access to NCEP (National Center for Environmental
Prediction) AVN data set and Japan Meteorological Agency (JMA) DDB data set are
operationally ftped. See CFORS daily timing cycle chart.
CFORS:Post-processing options:
CFORS web manager supports the necessary post processing of the forecasting results both
meteorological and chemical components. The 2/3D user friendly interface is prepared for
easy use of this system.
- Quick viewer of Sulfate, Dust and RAMS meteorology: Quick animation of transport
pattern for 72 hours forecasting based on RAMS-NCEP forecasting
- Interactive CGI base 2D plotting: CGI interface enables to extract user's necessary
variable, time and region of interest. Poltting figures can be downloaded as a pdf file.
RAMS-NCEP and RAMS-GPV forecasting results can be extracted in this page.
- Vis5D file: More complete view can be obtained by the use of Vis5D. Daily base
vis5D files can ftp from this site.
- NCEP/JMA data viewer: CGI based 2D interface enable to examine the original NCEP
and JMA forecasting data.
Model Products and Output:
http://dejima.riam.kyushu-u.ac.jp/~cfors/index.html
userid=ACEASIA
passwd=riamace (case sensitive !)