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Moreover, as Buesseler points out, comparing the model outputs to real data is the only way to improve their performance for next time, whether it's a strontium-90 leak in Japan or an event elsewhere — almost anywhere, really — in the world.
Statistical downscaling methods apply statistical relations between historical climate records at coarse resolutions and fine resolutions to interpolate from coarse model outputs to finer resolutions.
This will allow for tropical-extratropical interactions in oceanic and atmospheric model outputs to be diagnosed in terms of an energy cycle in a future study.
This property offers the possibility of fitting the model outputs to experimental data and allows us to propose hypotheses about physiological and pathological mechanisms.
The potential of coupling lahar susceptibility model outputs to lahar flow model inputs in order to quantify lahar hazard probabilistically was discussed, but not demonstrated.
Moreover, the sensitivity of the Bürger Diehl model outputs to parameters is highly impacted by the imposed simulation conditions, thus resulting in different parameter subsets for model calibration.
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Sensitivity of the location allocation model output to change in the objectives should also be examined.
Further work developed the algorithm and mapped the model output to mean opinion score (MOS) estimates [5].
The theoretical model is verified by comparing the model output to steady state data collected at an engine test bench.
Among others, these results suggest two significant geophysical applications: using observations to constrain numerical geodynamo models, and using the improved model output to predict geomagnetic secular variation (SV).
The fit between modelled and measured (strained and attached) bacteria masses was acceptable, as was the sensitivity of the model output to fitted parameter values.
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