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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/gmd-2019-111
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2019-111
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: model description paper 21 May 2019

Submitted as: model description paper | 21 May 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

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

Sébastien Riette Sébastien Riette
  • CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France

Abstract. To help develop and compare physical parametrizations such as those found in a numerical weather or climate model, a new tool was developed. The tool provides a framework to plug external parametrizations, run them in an offline mode, save the results and plot diagnostics. With the help of this tool, the origin of the time-step dependency of the microphysical scheme used in the Météo-France small scale operational numerical weather model was identified. The sources of dependency lied in some process formulations and in the algorithm used to allow the competition between the different processes. Some corrections have been introduced and their efficiency was checked with the tool. This usage illustrates how the tool can be used in 0D or 1D mode, with schemes coming from different models and with different time-advance methods to produce different kinds of plots.

Sébastien Riette
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Status: final response (author comments only)
Status: final response (author comments only)
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Sébastien Riette
Sébastien Riette
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Latest update: 21 Aug 2019
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Short summary
Numerical weather or climate models make use of a number of different interacting parametrizations to represent different physical processes. PPPY 1.1 is a python package for running and comparing individual parametrizations in an offline mode, independently from other parametrizations and from the hosting 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 make use of a number of different interacting...
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