Articles | Volume 11, issue 8
Geosci. Model Dev., 11, 3159–3185, 2018
https://doi.org/10.5194/gmd-11-3159-2018
Geosci. Model Dev., 11, 3159–3185, 2018
https://doi.org/10.5194/gmd-11-3159-2018

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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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Svenja Lange on behalf of the Authors (17 Jul 2018)  Author's response
ED: Publish as is (17 Jul 2018) by Tim Butler
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Short summary
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.