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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 10, issue 12
Geosci. Model Dev., 10, 4563-4575, 2017
https://doi.org/10.5194/gmd-10-4563-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 10, 4563-4575, 2017
https://doi.org/10.5194/gmd-10-4563-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model description paper 15 Dec 2017

Model description paper | 15 Dec 2017

A method to encapsulate model structural uncertainty in ensemble projections of future climate: EPIC v1.0

Jared Lewis et al.
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Ackerley, D., Dean, S., Sood, A., and Mullan, A. B.: Regional climate modeling in NZ: comparison to gridded and satellite observations, Wea. Clim., 32, 3–22, 2012.
Bhaskaran, B., Mullan, A. B., and Renwick, J.: Modelling of atmospheric variation at NIWA, Wea. Clim., 19, 23–36, 1999.
Bhaskaran, B., Renwick, J., and Mullan, A. B.: On application of the Unified Model to produce finer scale climate information, Wea. Clim., 22, 19–27, 2002.
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The Ensemble Projections Incorporating Climate model uncertainty (EPIC) method uses climate pattern scaling to expand a small number of daily maximum and minimum surface temperature projections into an ensemble that captures the structural uncertainty between climate models. The method is useful for providing projections of changes in climate to users wishing to investigate the impacts of climate change in a probabilistic and computationally efficient way.
The Ensemble Projections Incorporating Climate model uncertainty (EPIC) method uses climate...
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