The potential of an observational data set for calibration of a computationally expensive computer model
Challenor, Peter G.
Geoscientific Model Development
© Author(s) 2013. This work is distributed under the Creative Commons Attribution 3.0 License.
We measure the potential of an observational data set to constrain a set of inputs to a complex and computationally expensive computer model. We use each member in turn of an ensemble of output from a computationally expensive model, corresponding to an observable part of a modelled system, as a proxy for an observational data set. We argue that, given some assumptions, our ability to constrain uncertain parameter inputs to a model using its own output as data, provides a maximum bound for our ability to constrain the model inputs using observations of the real system. <br><br> The ensemble provides a set of known parameter input and model output pairs, which we use to build a computationally effic. © 2013 Author(s).
This work was supported by funding from the ice2sea programme from the European Union 7th Framework Programme, grant number 226375. Ice2sea contribution number 154.
Geosci. Model Dev., 6, 1715-1728, 2013