Global sensitivity analysis for these models is very useful for simplifying the model, improving the model performance, etc.
In a context of changes of both temperature and rainfall, formalizing temperature relationships of N2O production is useful for model parameterization of process-based modeling approaches.
Once the snapshots from full model results are obtained, the reduced-order model can reproduce the full model results with acceptable accuracy but with less computational cost in comparison with the full model, which is useful for model calibration and data assimilation problems.
McGarrigle (2013) further demonstrated how this model could be useful for model evaluation and benchmarking.
Bayesian model averaging may be useful for model selection but only limited attempts to compare it to stepwise regression have been published.
Therefore, in this study, efforts are being made to study the impacts of solar activity on the prediction of the latest IRI-2012 model simultaneously as low, EIA to mid latitudes during ascending phase of solar activity from 2009 to 2013 which might be useful for the IRI model improvement and the model error representation of the data assimilation.
Our results comparing the IRI-2012 TEC with ground-based GPS measurements simultaneously from low- to mid-latitude regions during long period (2009 to 2013) might be useful for the IRI model improvement and the model error representation of the data assimilation.
He also includes on his site, as part of Chron.jl, software for carrying out Bayesian modeling useful for generating age models in stratigraphic sections given geochronologic data and uncertainties.
Multivariate global sensitivity analysis (GSA) plays an important role in quantifying the contribution of uncertainty in the model input to the output, which is quite useful for simplifying the models and improving the model performance.
Spatial statistical stream-network models are useful for modelling physicochemical data, but to-date have not been fit to macroinvertebrate data.
It has been suggested that these and similar models are useful for modelling of the functional behaviour of neural systems [263].
