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.
The first was defining robust methodologies for the regional downscaling of climate model outputs to drive coupled hydrodynamic ecosystem models with climate model outputs, this has recently been addressed (Holt et al. 2012).
Second, verification of model convergence is checked by comparing the model outputs to the measured data used in the identification process.
As described in the Methods section, we have analysed the sensitivity of the model outputs to variations in the input parameters, verified parameter identifiability and compared and matched the model outputs for the two cardiac contraction models.
These parameter estimates yield the best fit of the model outputs to the published experimental data [22] with minimal residual errors and minimal objective function.
We linked the average model outputs to the average blood pressure measurements in each subgroup to reduce fluctuation between individuals.
However, what is important is the format of the inputs and outputs to and from the model, respectively.
This study is the first to apply fully down-scaled global-to-regional climate model outputs to project future-year O3 concentrations for public health impacts assessments.
Sobol global sensitivity analysis was implemented via the MOEA framework (version 1.17) and was used to determine sensitivity of model outputs to changes in the parameters.
