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With the calibrated emission inventories, CMAQ model errors were decreased by 6.46% on average in different seasons.
Dynamic characteristics of the plate mostly affected by the model errors were established from a numerical study.
The model errors were analysed and it was found that the errors for all subcatchments showed similar trends for the post-wildfire period.
Model errors were acceptable (cross-validated RMSE = 2.04 °C) and the resulting map of apparent temperature, calibrated for a typical hot summer day, corresponded well with past temperature research in the area.
The model errors were heteroscedastic (Fig. 3), which is typical for a volume model.
In uncertainty model II, the 'measured' field model errors were sampled from a distribution with spread approximately half as large as the field model errors in I (i.e. the standard deviations were divided by 2).
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The most important model parameters for reducing model errors are climate variables in particular annual precipitation.
The power of the test against various alternative distributions of the model errors is illustrated.
Fault diagnosis in the presence of noise and model errors is of fundamental importance.
Also, the influence of the model errors is studied by introducing deviations of the CoM position during the simulation tests.
These differences (model errors) are due to embedded assumptions and differences in implementing the discrete forms of the equations.
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