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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 11, issue 8
Geosci. Model Dev., 11, 3159–3185, 2018
https://doi.org/10.5194/gmd-11-3159-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 11, 3159–3185, 2018
https://doi.org/10.5194/gmd-11-3159-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model description paper 10 Aug 2018

Model description paper | 10 Aug 2018

The multi-assumption architecture and testbed (MAAT v1.0): R code for generating ensembles with dynamic model structure and analysis of epistemic uncertainty from multiple sources

Anthony P. Walker et al.
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Large uncertainty is inherent in model predictions due to imperfect knowledge of how to describe the processes that a model is intended to represent. Yet methods to quantify and evaluate this model hypothesis uncertainty are limited. To address this, the multi-assumption architecture and testbed (MAAT) automates the generation of all possible models by combining multiple representations of multiple processes. MAAT provides a formal framework for quantification of model hypothesis uncertainty.
Large uncertainty is inherent in model predictions due to imperfect knowledge of how to describe...
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