3.3 Meteorology and Chemistry Model Linkage Issues

The consistency among meteorological parameters and the

way they are utilized in a CTM are crucial to the success of

air quality simulations. For CMAQ, MCIP translates and

processes model outputs from the meteorology model for the


CCTM. MCIP is loosely based on the meteorological preprocessor

of the Regional Acid Deposition Model (RADM)

(Chang et al. [10]). Because many mesoscale models were

not designed specifically for air quality, and they do not

output all the parameters necessary for air quality

simulations, diagnostic routines are implemented in MCIP to

fill the data gap. In addition, MCIP converts between

coordinate systems and sets up the generalized vertical

coordinate, which enables the flexibility to link various

meteorological models to the CCTM. MCIP also computes

dry deposition velocities for various photochemical species.

The ultimate goal within the atmospheric community is the

development of a fully integrated on-line meteorologicalchemical

model (Seaman [35]). There have been a few

successful examples of integrating meteorology and

atmospheric chemistry algorithms into a single computer

program (Vogel et al. [36], Grell et al. [15]), including direct

coupling of MM5 with MAQSIP (Xiu et al. [37]). It should

be noted, however, that there can be tradeoffs to using an

on-line system. On-line systems considerably increase

computer resource requirements. In addition, it is

impractical to maintain the fully coupled modeling system

for use in routine air-quality management activities where

the same meteorology is repeatedly used for various

emissions scenarios. Our goal is to develop a system that

can be used for both on-line and off-line modes, depending

on the objective of the air quality simulation.

The Weather Research and Forecast Model (WRF) (Dudhia

et al. [38], Klemp et al. [39]),which is currently under

development, is a meteorological model that is expected to

have both on-line and off-line capabilities for chemistry

transport modeling. WRF is being designed with the

following attributes, which are desirable for a

meteorological model to host both on-line and off-line





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