Independent perturbations for physics parametrization tendencies in a convection-permitting ensemble (pSPPT)

<p>A modification of the widely used SPPT (Stochastically Perturbed Parametrisation Tendencies) scheme is proposed and tested in a Convection-permitting – Limited Area Ensemble Forecasting system (C-LAEF) developed at ZAMG (Zentralanstalt für Meteorologie und Geodynamik). The tendencies from f...

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Main Authors: C. Wastl, Y. Wang, A. Atencia, C. Wittmann
Format: Article
Language:English
Published: Copernicus Publications 2019-01-01
Series:Geoscientific Model Development
Online Access:https://www.geosci-model-dev.net/12/261/2019/gmd-12-261-2019.pdf
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spelling doaj-eefebce4a5784ca6a05b688c280f97c72020-11-25T01:21:34ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032019-01-011226127310.5194/gmd-12-261-2019Independent perturbations for physics parametrization tendencies in a convection-permitting ensemble (pSPPT)C. Wastl0Y. Wang1A. Atencia2C. Wittmann3Department of Forecasting Models, Zentralanstalt für Meteorologie und Geodynamik, Vienna, AustriaDepartment of Forecasting Models, Zentralanstalt für Meteorologie und Geodynamik, Vienna, AustriaDepartment of Forecasting Models, Zentralanstalt für Meteorologie und Geodynamik, Vienna, AustriaDepartment of Forecasting Models, Zentralanstalt für Meteorologie und Geodynamik, Vienna, Austria<p>A modification of the widely used SPPT (Stochastically Perturbed Parametrisation Tendencies) scheme is proposed and tested in a Convection-permitting – Limited Area Ensemble Forecasting system (C-LAEF) developed at ZAMG (Zentralanstalt für Meteorologie und Geodynamik). The tendencies from four physical parametrization schemes are perturbed: radiation, shallow convection, turbulence, and microphysics. Whereas in SPPT the total model tendencies are perturbed, in the present approach (pSPPT hereinafter) the partial tendencies of the physics parametrization schemes are sequentially perturbed. Thus, in pSPPT an interaction between the uncertainties of the different physics parametrization schemes is sustained and a more physically consistent relationship between the processes is kept. Two configurations of pSPPT are evaluated over two separate months (one in summer and another in winter). Both schemes increase the stability of the model and lead to statistically significant improvements in the probabilistic performance compared to a reference run without stochastic physics. An evaluation of selected test cases shows that the positive effect of stochastic physics is much more pronounced on days with high convective activity. Small discrepancies in the humidity analysis can be dedicated to the use of a very simple supersaturation adjustment. This and other adjustments are discussed to provide some suggestions for future investigations.</p>https://www.geosci-model-dev.net/12/261/2019/gmd-12-261-2019.pdf
collection DOAJ
language English
format Article
sources DOAJ
author C. Wastl
Y. Wang
A. Atencia
C. Wittmann
spellingShingle C. Wastl
Y. Wang
A. Atencia
C. Wittmann
Independent perturbations for physics parametrization tendencies in a convection-permitting ensemble (pSPPT)
Geoscientific Model Development
author_facet C. Wastl
Y. Wang
A. Atencia
C. Wittmann
author_sort C. Wastl
title Independent perturbations for physics parametrization tendencies in a convection-permitting ensemble (pSPPT)
title_short Independent perturbations for physics parametrization tendencies in a convection-permitting ensemble (pSPPT)
title_full Independent perturbations for physics parametrization tendencies in a convection-permitting ensemble (pSPPT)
title_fullStr Independent perturbations for physics parametrization tendencies in a convection-permitting ensemble (pSPPT)
title_full_unstemmed Independent perturbations for physics parametrization tendencies in a convection-permitting ensemble (pSPPT)
title_sort independent perturbations for physics parametrization tendencies in a convection-permitting ensemble (psppt)
publisher Copernicus Publications
series Geoscientific Model Development
issn 1991-959X
1991-9603
publishDate 2019-01-01
description <p>A modification of the widely used SPPT (Stochastically Perturbed Parametrisation Tendencies) scheme is proposed and tested in a Convection-permitting – Limited Area Ensemble Forecasting system (C-LAEF) developed at ZAMG (Zentralanstalt für Meteorologie und Geodynamik). The tendencies from four physical parametrization schemes are perturbed: radiation, shallow convection, turbulence, and microphysics. Whereas in SPPT the total model tendencies are perturbed, in the present approach (pSPPT hereinafter) the partial tendencies of the physics parametrization schemes are sequentially perturbed. Thus, in pSPPT an interaction between the uncertainties of the different physics parametrization schemes is sustained and a more physically consistent relationship between the processes is kept. Two configurations of pSPPT are evaluated over two separate months (one in summer and another in winter). Both schemes increase the stability of the model and lead to statistically significant improvements in the probabilistic performance compared to a reference run without stochastic physics. An evaluation of selected test cases shows that the positive effect of stochastic physics is much more pronounced on days with high convective activity. Small discrepancies in the humidity analysis can be dedicated to the use of a very simple supersaturation adjustment. This and other adjustments are discussed to provide some suggestions for future investigations.</p>
url https://www.geosci-model-dev.net/12/261/2019/gmd-12-261-2019.pdf
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