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East Asia and Western Pacific METEOROLOGY AND CLIMATE

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279<br />

It is interesting to note that an initial impetus to develop the MM4 system in the mid<br />

1970s was to produce an atmospheric <strong>and</strong> chemical model to study regional air pollution. It is<br />

also worth noting that a version of the MM4-RADM system, the European Acid Deposition Model<br />

(EURAD) has been adapted for the use in Europe (Ebel el a].. 1989). Hass et al.<br />

(I989)successfully simulated the transport <strong>and</strong> depositing of radioactive material in Europe<br />

following the Chernobyl accident using a version of EURAD.<br />

3.0 SENSITIVITY STUDIES <strong>AND</strong> OBSERVING-SYSTEMS SIMULATION<br />

A number of recent studies have examined the sensitivity of regional-scale, limited area<br />

models to variations in initial conditions, lateral boundary conditions (LBC), <strong>and</strong> treatment of<br />

physical processes. Anthes et al. (1989) analyzed results from 72-h simulations <strong>and</strong> forecasts for<br />

12 cases to underst<strong>and</strong> the contribution to model error or uncertainty introduced by these factors.<br />

The simulations <strong>and</strong> forecasts were verified for both the 12 individual cases <strong>and</strong> for the ensemble<br />

average of the 12 cases, using several objective measures of skill. The differences in these skill<br />

scores were tested for their statistical significance.<br />

The results showed that the use of observed LBC exerts a strong control on the growth of<br />

errors over a domain size of 3600 x 4800 km. The errors showed little growth beyond about 36 h,<br />

so that the 72-h simulations were nearly as accurate as the 36-h simulations. On these time <strong>and</strong><br />

space scales, the quality of the LBC were more important than any other factor tested in the<br />

temporal evolution of the model errors. The results showed that the large-scale atmospheric<br />

structure has a major effect on the evolution of small-scale features in the model.<br />

Anthes e_t ah. (1989) introduced the concept of climatological use <strong>and</strong> verification of<br />

regional models. The climatological skill of the control version of MM4 was quite good. The skill<br />

scores of the ensemble average simulations were considerably better than the average scores of the<br />

individual simulations. The model has small bias errors <strong>and</strong> the horizontal structure of the<br />

model-simulated atmosphere is similar to the observed structure for scales of motion resolved by<br />

the upper-air observational network over the United States.<br />

In a related study, Warner et al. (1989) performed a series of observing-systems<br />

simulation experiments (OSSEs) with MM4 in order to determine the effect of horizontal <strong>and</strong><br />

vertical data resolution, data location, <strong>and</strong> measurement error on mesoscale forecast accuracy. In<br />

agreement with previous results, the error generally decreased with increasing forecast time.<br />

Major contributors to the observed error reduction included nonlinear effects, geostrophic<br />

adjustment <strong>and</strong> surface forcing, in addition to the use of identical LBC.<br />

Although the studies by Anthes et aJL (1989) <strong>and</strong> Warner gt al. (1989) showed that small,<br />

r<strong>and</strong>om errors in the initial conditions had relatively minor effect on the simulations, one should<br />

not conclude that models are insensitive to changes in the quality or density of initial data. When<br />

the initial data contribute information that improves the initial analysis in a horizontally <strong>and</strong><br />

vertically coherent manner, they can have a major positive effect on the forecast. For example,<br />

Douglas <strong>and</strong> Warner (1987) showed that incorporating 110 temperature <strong>and</strong> humidity soundings<br />

derived from the visible <strong>and</strong> infrared spin-scan radiometer sounder (VAS) into the MM4 produced<br />

large changes in the analysis over the North <strong>Pacific</strong> Ocean, <strong>and</strong> that these changes resulted in a<br />

positive impact on the forecast of cyclogenesis over the North <strong>Pacific</strong>.<br />

A challenge of model initialization is to incorporate the divergence <strong>and</strong> vertical motion<br />

fields into the model's initial conditions in a way that balances these fields with the diabatic <strong>and</strong><br />

other forcing in the model initial data. When precipitation exists at the initial time, the adiabatic<br />

cooling associated with upward motion in the precipitation system is nearly balanced by the<br />

diabatic heating associated with latent heat release. This balance suggests that observed<br />

precipitation rates could be used in a dynamical initialization procedure to generate realistic<br />

vertical motion <strong>and</strong> related divergence fields in the numerical model. Wang <strong>and</strong> Warner (1988)<br />

tested a scheme to use observed precipitation rates in the initialization of MM4, the use of the

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