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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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GMD | Articles | Volume 13, issue 2
Geosci. Model Dev., 13, 443–460, 2020
https://doi.org/10.5194/gmd-13-443-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 13, 443–460, 2020
https://doi.org/10.5194/gmd-13-443-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model description paper 06 Feb 2020

Model description paper | 06 Feb 2020

Development of “Physical Parametrizations with PYthon” (PPPY, version 1.1) and its usage to reduce the time-step dependency in a microphysical scheme

Sébastien Riette

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Sébastien Riette on behalf of the Authors (18 Oct 2019)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (06 Nov 2019) by Klaus Gierens
AR by Sébastien Riette on behalf of the Authors (28 Nov 2019)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (06 Dec 2019) by Klaus Gierens
AR by Sébastien Riette on behalf of the Authors (11 Dec 2019)  Author's response    Manuscript
ED: Publish as is (07 Jan 2020) by Klaus Gierens
AR by Sébastien Riette on behalf of the Authors (08 Jan 2020)  Author's response    Manuscript
Publications Copernicus
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Short summary
Numerical weather or climate models use several interacting parametrizations to represent different physical processes. PPPY 1.1 is a Python package for running and comparing individual parametrizations in offline mode, independently of other parametrizations and of the host model. In this paper, the tool is described and used to assess and reduce the time-step dependency present in a microphysical parametrization.
Numerical weather or climate models use several interacting parametrizations to represent...
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