Characterizing Convection Schemes Using Their Responses to Imposed Tendency Perturbations

Abstract Convection is usually parameterized in global climate models, and there are often large discrepancies between results obtained with different convection schemes. Conventional methods of comparing convection schemes using observational cases or directly in three‐dimensional (3D) models do no...

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Autores principales:	Y. L. Hwong, S. Song, S. C. Sherwood, A. J. Stirling, C. Rio, R. Roehrig, C. L. Daleu, R. S. Plant, D. Fuchs, P. Maher, L. Touzé‐Peiffer
Formato:	article
Lenguaje:	EN
Publicado:	American Geophysical Union (AGU) 2021
Materias:	convection convective parameterization idealized model linear response function radiative‐convective equilibrium SCM Physical geography GB3-5030 Oceanography GC1-1581
Acceso en línea:	https://doaj.org/article/a4858fedb71346649f96a73b7a4774af
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spelling	oai:doaj.org-article:a4858fedb71346649f96a73b7a4774af2021-11-24T08:11:41ZCharacterizing Convection Schemes Using Their Responses to Imposed Tendency Perturbations1942-246610.1029/2021MS002461https://doaj.org/article/a4858fedb71346649f96a73b7a4774af2021-05-01T00:00:00Zhttps://doi.org/10.1029/2021MS002461https://doaj.org/toc/1942-2466Abstract Convection is usually parameterized in global climate models, and there are often large discrepancies between results obtained with different convection schemes. Conventional methods of comparing convection schemes using observational cases or directly in three‐dimensional (3D) models do not always clearly identify parameterization strengths and weaknesses. In this paper we evaluate the response of parameterizations to various perturbations rather than their behavior under particular strong forcing. We use the linear response function method proposed by Kuang (2010) to compare 12 physical packages in five atmospheric models using single‐column model (SCM) simulations under idealized radiative‐convective equilibrium conditions. The models are forced with anomalous temperature and moisture tendencies. The temperature and moisture departures from equilibrium are compared with published results from a cloud‐resolving model (CRM). Results show that the procedure is capable of isolating the behavior of a convection scheme from other physics schemes. We identify areas of agreement but also substantial differences between convection schemes, some of which can be related to scheme design. Some aspects of the model linear responses are related to their RCE profiles (the relative humidity profile in particular), while others constitute independent diagnostics. All the SCMs show irregularities or discontinuities in behavior that are likely related to threshold‐related mechanisms used in the convection schemes, and which do not appear in the CRM. Our results highlight potential flaws in convection schemes and suggest possible new directions to explore for parameterization evaluation.Y. L. HwongS. SongS. C. SherwoodA. J. StirlingC. RioR. RoehrigC. L. DaleuR. S. PlantD. FuchsP. MaherL. Touzé‐PeifferAmerican Geophysical Union (AGU)articleconvectionconvective parameterizationidealized modellinear response functionradiative‐convective equilibriumSCMPhysical geographyGB3-5030OceanographyGC1-1581ENJournal of Advances in Modeling Earth Systems, Vol 13, Iss 5, Pp n/a-n/a (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	convection convective parameterization idealized model linear response function radiative‐convective equilibrium SCM Physical geography GB3-5030 Oceanography GC1-1581
spellingShingle	convection convective parameterization idealized model linear response function radiative‐convective equilibrium SCM Physical geography GB3-5030 Oceanography GC1-1581 Y. L. Hwong S. Song S. C. Sherwood A. J. Stirling C. Rio R. Roehrig C. L. Daleu R. S. Plant D. Fuchs P. Maher L. Touzé‐Peiffer Characterizing Convection Schemes Using Their Responses to Imposed Tendency Perturbations
description	Abstract Convection is usually parameterized in global climate models, and there are often large discrepancies between results obtained with different convection schemes. Conventional methods of comparing convection schemes using observational cases or directly in three‐dimensional (3D) models do not always clearly identify parameterization strengths and weaknesses. In this paper we evaluate the response of parameterizations to various perturbations rather than their behavior under particular strong forcing. We use the linear response function method proposed by Kuang (2010) to compare 12 physical packages in five atmospheric models using single‐column model (SCM) simulations under idealized radiative‐convective equilibrium conditions. The models are forced with anomalous temperature and moisture tendencies. The temperature and moisture departures from equilibrium are compared with published results from a cloud‐resolving model (CRM). Results show that the procedure is capable of isolating the behavior of a convection scheme from other physics schemes. We identify areas of agreement but also substantial differences between convection schemes, some of which can be related to scheme design. Some aspects of the model linear responses are related to their RCE profiles (the relative humidity profile in particular), while others constitute independent diagnostics. All the SCMs show irregularities or discontinuities in behavior that are likely related to threshold‐related mechanisms used in the convection schemes, and which do not appear in the CRM. Our results highlight potential flaws in convection schemes and suggest possible new directions to explore for parameterization evaluation.
format	article
author	Y. L. Hwong S. Song S. C. Sherwood A. J. Stirling C. Rio R. Roehrig C. L. Daleu R. S. Plant D. Fuchs P. Maher L. Touzé‐Peiffer
author_facet	Y. L. Hwong S. Song S. C. Sherwood A. J. Stirling C. Rio R. Roehrig C. L. Daleu R. S. Plant D. Fuchs P. Maher L. Touzé‐Peiffer
author_sort	Y. L. Hwong
title	Characterizing Convection Schemes Using Their Responses to Imposed Tendency Perturbations
title_short	Characterizing Convection Schemes Using Their Responses to Imposed Tendency Perturbations
title_full	Characterizing Convection Schemes Using Their Responses to Imposed Tendency Perturbations
title_fullStr	Characterizing Convection Schemes Using Their Responses to Imposed Tendency Perturbations
title_full_unstemmed	Characterizing Convection Schemes Using Their Responses to Imposed Tendency Perturbations
title_sort	characterizing convection schemes using their responses to imposed tendency perturbations
publisher	American Geophysical Union (AGU)
publishDate	2021
url	https://doaj.org/article/a4858fedb71346649f96a73b7a4774af
work_keys_str_mv	AT ylhwong characterizingconvectionschemesusingtheirresponsestoimposedtendencyperturbations AT ssong characterizingconvectionschemesusingtheirresponsestoimposedtendencyperturbations AT scsherwood characterizingconvectionschemesusingtheirresponsestoimposedtendencyperturbations AT ajstirling characterizingconvectionschemesusingtheirresponsestoimposedtendencyperturbations AT crio characterizingconvectionschemesusingtheirresponsestoimposedtendencyperturbations AT rroehrig characterizingconvectionschemesusingtheirresponsestoimposedtendencyperturbations AT cldaleu characterizingconvectionschemesusingtheirresponsestoimposedtendencyperturbations AT rsplant characterizingconvectionschemesusingtheirresponsestoimposedtendencyperturbations AT dfuchs characterizingconvectionschemesusingtheirresponsestoimposedtendencyperturbations AT pmaher characterizingconvectionschemesusingtheirresponsestoimposedtendencyperturbations AT ltouzepeiffer characterizingconvectionschemesusingtheirresponsestoimposedtendencyperturbations
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Characterizing Convection Schemes Using Their Responses to Imposed Tendency Perturbations

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