Linking Deep and Shallow Convective Mass Fluxes via an Assumed Entrainment Distribution in CAM5‐CLUBB: Parameterization and Simulated Precipitation Variability

Abstract We modify the Zhang‐McFarlane (ZM) deep convection scheme in the Community Atmosphere Model version 5 to couple it with a unified parameterization for boundary‐layer turbulence and shallow convection, that is, Cloud Layers Unified by Binormals (CLUBB). By assuming a lognormal distribution o...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Ben Yang, Minghuai Wang, Guang J. Zhang, Zhun Guo, Anning Huang, Yaocun Zhang, Yun Qian
Formato:	article
Lenguaje:	EN
Publicado:	American Geophysical Union (AGU) 2021
Materias:	CLUBB deep and shallow convection entrainment distribution mass flux precipitation simulation Zhang‐McFarlane parameterization Physical geography GB3-5030 Oceanography GC1-1581
Acceso en línea:	https://doaj.org/article/8e329982bddc4c6ba49eb5cb12913354
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:8e329982bddc4c6ba49eb5cb12913354
record_format	dspace
spelling	oai:doaj.org-article:8e329982bddc4c6ba49eb5cb129133542021-11-24T08:11:41ZLinking Deep and Shallow Convective Mass Fluxes via an Assumed Entrainment Distribution in CAM5‐CLUBB: Parameterization and Simulated Precipitation Variability1942-246610.1029/2020MS002357https://doaj.org/article/8e329982bddc4c6ba49eb5cb129133542021-05-01T00:00:00Zhttps://doi.org/10.1029/2020MS002357https://doaj.org/toc/1942-2466Abstract We modify the Zhang‐McFarlane (ZM) deep convection scheme in the Community Atmosphere Model version 5 to couple it with a unified parameterization for boundary‐layer turbulence and shallow convection, that is, Cloud Layers Unified by Binormals (CLUBB). By assuming a lognormal distribution of entrainment rate across the entire moist convective regimes, we link mass fluxes between shallow and deep convection, which are partitioned by the entrainment rate of the shallowest deep convective plume. Hence, a new deep convective closure is established which is coupled to the sub‐grid vertical motion variability in CLUBB. The convection feedback (or memory) effects are also considered to decrease the entrainment spectrum width and enhance the vertical velocity variability that further affect deep convection. Results show that the revised scheme improves the precipitation simulations in terms of the mean state and variability at various timescales, such as the alleviated double‐intertropical convergence zone and more realistic simulations of the seasonal variation of monsoon precipitation over East Asia, Madden‐Julian Oscillation, and precipitation diurnal phase propagations downstream of large terrains. The improvements are still seen in many aspects such as the mean‐state precipitation when turning off the convection feedback impacts in the revised scheme, emphasizing the benefits of using the modified mass‐flux closure. However, the convection feedbacks have considerable effects on the precipitation diurnal cycle simulations over regions with late‐afternoon precipitation peaks. Overall, the revised scheme provides a unified treatment for sub‐grid vertical motions across regimes of boundary‐layer turbulence, shallow convection, and deep convection, leading to better‐simulated precipitation at various timescales.Ben YangMinghuai WangGuang J. ZhangZhun GuoAnning HuangYaocun ZhangYun QianAmerican Geophysical Union (AGU)articleCLUBBdeep and shallow convectionentrainment distributionmass fluxprecipitation simulationZhang‐McFarlane parameterizationPhysical 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	CLUBB deep and shallow convection entrainment distribution mass flux precipitation simulation Zhang‐McFarlane parameterization Physical geography GB3-5030 Oceanography GC1-1581
spellingShingle	CLUBB deep and shallow convection entrainment distribution mass flux precipitation simulation Zhang‐McFarlane parameterization Physical geography GB3-5030 Oceanography GC1-1581 Ben Yang Minghuai Wang Guang J. Zhang Zhun Guo Anning Huang Yaocun Zhang Yun Qian Linking Deep and Shallow Convective Mass Fluxes via an Assumed Entrainment Distribution in CAM5‐CLUBB: Parameterization and Simulated Precipitation Variability
description	Abstract We modify the Zhang‐McFarlane (ZM) deep convection scheme in the Community Atmosphere Model version 5 to couple it with a unified parameterization for boundary‐layer turbulence and shallow convection, that is, Cloud Layers Unified by Binormals (CLUBB). By assuming a lognormal distribution of entrainment rate across the entire moist convective regimes, we link mass fluxes between shallow and deep convection, which are partitioned by the entrainment rate of the shallowest deep convective plume. Hence, a new deep convective closure is established which is coupled to the sub‐grid vertical motion variability in CLUBB. The convection feedback (or memory) effects are also considered to decrease the entrainment spectrum width and enhance the vertical velocity variability that further affect deep convection. Results show that the revised scheme improves the precipitation simulations in terms of the mean state and variability at various timescales, such as the alleviated double‐intertropical convergence zone and more realistic simulations of the seasonal variation of monsoon precipitation over East Asia, Madden‐Julian Oscillation, and precipitation diurnal phase propagations downstream of large terrains. The improvements are still seen in many aspects such as the mean‐state precipitation when turning off the convection feedback impacts in the revised scheme, emphasizing the benefits of using the modified mass‐flux closure. However, the convection feedbacks have considerable effects on the precipitation diurnal cycle simulations over regions with late‐afternoon precipitation peaks. Overall, the revised scheme provides a unified treatment for sub‐grid vertical motions across regimes of boundary‐layer turbulence, shallow convection, and deep convection, leading to better‐simulated precipitation at various timescales.
format	article
author	Ben Yang Minghuai Wang Guang J. Zhang Zhun Guo Anning Huang Yaocun Zhang Yun Qian
author_facet	Ben Yang Minghuai Wang Guang J. Zhang Zhun Guo Anning Huang Yaocun Zhang Yun Qian
author_sort	Ben Yang
title	Linking Deep and Shallow Convective Mass Fluxes via an Assumed Entrainment Distribution in CAM5‐CLUBB: Parameterization and Simulated Precipitation Variability
title_short	Linking Deep and Shallow Convective Mass Fluxes via an Assumed Entrainment Distribution in CAM5‐CLUBB: Parameterization and Simulated Precipitation Variability
title_full	Linking Deep and Shallow Convective Mass Fluxes via an Assumed Entrainment Distribution in CAM5‐CLUBB: Parameterization and Simulated Precipitation Variability
title_fullStr	Linking Deep and Shallow Convective Mass Fluxes via an Assumed Entrainment Distribution in CAM5‐CLUBB: Parameterization and Simulated Precipitation Variability
title_full_unstemmed	Linking Deep and Shallow Convective Mass Fluxes via an Assumed Entrainment Distribution in CAM5‐CLUBB: Parameterization and Simulated Precipitation Variability
title_sort	linking deep and shallow convective mass fluxes via an assumed entrainment distribution in cam5‐clubb: parameterization and simulated precipitation variability
publisher	American Geophysical Union (AGU)
publishDate	2021
url	https://doaj.org/article/8e329982bddc4c6ba49eb5cb12913354
work_keys_str_mv	AT benyang linkingdeepandshallowconvectivemassfluxesviaanassumedentrainmentdistributionincam5clubbparameterizationandsimulatedprecipitationvariability AT minghuaiwang linkingdeepandshallowconvectivemassfluxesviaanassumedentrainmentdistributionincam5clubbparameterizationandsimulatedprecipitationvariability AT guangjzhang linkingdeepandshallowconvectivemassfluxesviaanassumedentrainmentdistributionincam5clubbparameterizationandsimulatedprecipitationvariability AT zhunguo linkingdeepandshallowconvectivemassfluxesviaanassumedentrainmentdistributionincam5clubbparameterizationandsimulatedprecipitationvariability AT anninghuang linkingdeepandshallowconvectivemassfluxesviaanassumedentrainmentdistributionincam5clubbparameterizationandsimulatedprecipitationvariability AT yaocunzhang linkingdeepandshallowconvectivemassfluxesviaanassumedentrainmentdistributionincam5clubbparameterizationandsimulatedprecipitationvariability AT yunqian linkingdeepandshallowconvectivemassfluxesviaanassumedentrainmentdistributionincam5clubbparameterizationandsimulatedprecipitationvariability
_version_	1718415808889094144

Linking Deep and Shallow Convective Mass Fluxes via an Assumed Entrainment Distribution in CAM5‐CLUBB: Parameterization and Simulated Precipitation Variability

Ejemplares similares