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The model outputs are the deferred time period and the illness attack rate (AR) (defined as the number of new infected cases per head of population during a given time period).
Model outputs are from individual runs and smoothed by 21-year RMs.
Model outputs are both in dimension as well as biomass.
Model outputs are consistent with known features of the system.
Some examples of model outputs are shown to evaluate the model capability.
Model outputs are gas concentration, depth-averaged velocity, averaged cloud thickness and dose.
The model outputs are the temperature and concentration profiles and the biofilm thickness.
The model outputs are compared with actual measured data for different unit loads.
Such a lack of evaluation can have adverse consequences where dynamic model outputs are used locally to influence floodplain management.
In traditional bias correction schemes, the statistics of the simulated model outputs are adjusted to those of the observation data.
Model outputs are used to compute the net benefit of all involved stakeholders under different allocation schemes.
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CEO of Professional Science Editing for Scientists @ prosciediting.com