Impact of a New Cloud Microphysics Parameterization on the Simulations of Mesoscale Convective Systems in E3SM

Abstract Mesoscale convective systems (MCSs) are one of the most climatically significant forms of convection because of their large role in water and energy cycles. The mesoscale features associated with MCS are difficult to represent in climate models because the relevant dynamics and physics are...

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Autores principales: Jingyu Wang, Jiwen Fan, Zhe Feng, Kai Zhang, Erika Roesler, Benjamin Hillman, Jacob Shpund, Wuyin Lin, Shaocheng Xie
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Publicado: American Geophysical Union (AGU) 2021
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Acceso en línea:https://doaj.org/article/a93bc9ad2bbc41c1a12f75e7dabc22b2
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spelling oai:doaj.org-article:a93bc9ad2bbc41c1a12f75e7dabc22b22021-11-30T08:40:32ZImpact of a New Cloud Microphysics Parameterization on the Simulations of Mesoscale Convective Systems in E3SM1942-246610.1029/2021MS002628https://doaj.org/article/a93bc9ad2bbc41c1a12f75e7dabc22b22021-11-01T00:00:00Zhttps://doi.org/10.1029/2021MS002628https://doaj.org/toc/1942-2466Abstract Mesoscale convective systems (MCSs) are one of the most climatically significant forms of convection because of their large role in water and energy cycles. The mesoscale features associated with MCS are difficult to represent in climate models because the relevant dynamics and physics are absent or poorly represented with coarse model resolution (∼100 km). Using a regionally refined model (RRM) with 0.25° grid spacing embedded in the Energy Exascale Earth System Model (E3SM), we explore the impact of cloud microphysics parameterizations on the simulation of precipitation, particularly MCS precipitation over the contiguous United States. The Predicted Particle Properties (P3) cloud microphysics scheme has been modified and implemented into E3SM to overcome the limitations of the default Morrison and Gettelman (MG2) scheme in which rimed precipitating ice particles (graupel/hail) are absent and frozen particles are artificially partitioned into cloud ice and snow. We show that P3 improves the simulation of precipitation statistics including frequency distribution compared with MG2 with a limited effect on the diurnal cycle. P3 predicts higher hourly rain rates, resulting in 20% more MCSs and a higher total MCS precipitation (4.4%) compared to MG2, agreeing better with observations. The improvements with P3 mainly result from improved representations of ice microphysics, which not only produces higher rain rates through melting but also leads to a stronger large‐scale ascending motion by releasing more latent heating. This study suggests that improving microphysics parameterization is important for simulating MCS precipitation as future climate model resolutions continue to increase.Jingyu WangJiwen FanZhe FengKai ZhangErika RoeslerBenjamin HillmanJacob ShpundWuyin LinShaocheng XieAmerican Geophysical Union (AGU)articlemesoscale convective systemregionally refined modelenergy exascale Earth system modelpredicted particle propertiesmicrophysics parameterizationMCS trackingPhysical geographyGB3-5030OceanographyGC1-1581ENJournal of Advances in Modeling Earth Systems, Vol 13, Iss 11, Pp n/a-n/a (2021)
institution DOAJ
collection DOAJ
language EN
topic mesoscale convective system
regionally refined model
energy exascale Earth system model
predicted particle properties
microphysics parameterization
MCS tracking
Physical geography
GB3-5030
Oceanography
GC1-1581
spellingShingle mesoscale convective system
regionally refined model
energy exascale Earth system model
predicted particle properties
microphysics parameterization
MCS tracking
Physical geography
GB3-5030
Oceanography
GC1-1581
Jingyu Wang
Jiwen Fan
Zhe Feng
Kai Zhang
Erika Roesler
Benjamin Hillman
Jacob Shpund
Wuyin Lin
Shaocheng Xie
Impact of a New Cloud Microphysics Parameterization on the Simulations of Mesoscale Convective Systems in E3SM
description Abstract Mesoscale convective systems (MCSs) are one of the most climatically significant forms of convection because of their large role in water and energy cycles. The mesoscale features associated with MCS are difficult to represent in climate models because the relevant dynamics and physics are absent or poorly represented with coarse model resolution (∼100 km). Using a regionally refined model (RRM) with 0.25° grid spacing embedded in the Energy Exascale Earth System Model (E3SM), we explore the impact of cloud microphysics parameterizations on the simulation of precipitation, particularly MCS precipitation over the contiguous United States. The Predicted Particle Properties (P3) cloud microphysics scheme has been modified and implemented into E3SM to overcome the limitations of the default Morrison and Gettelman (MG2) scheme in which rimed precipitating ice particles (graupel/hail) are absent and frozen particles are artificially partitioned into cloud ice and snow. We show that P3 improves the simulation of precipitation statistics including frequency distribution compared with MG2 with a limited effect on the diurnal cycle. P3 predicts higher hourly rain rates, resulting in 20% more MCSs and a higher total MCS precipitation (4.4%) compared to MG2, agreeing better with observations. The improvements with P3 mainly result from improved representations of ice microphysics, which not only produces higher rain rates through melting but also leads to a stronger large‐scale ascending motion by releasing more latent heating. This study suggests that improving microphysics parameterization is important for simulating MCS precipitation as future climate model resolutions continue to increase.
format article
author Jingyu Wang
Jiwen Fan
Zhe Feng
Kai Zhang
Erika Roesler
Benjamin Hillman
Jacob Shpund
Wuyin Lin
Shaocheng Xie
author_facet Jingyu Wang
Jiwen Fan
Zhe Feng
Kai Zhang
Erika Roesler
Benjamin Hillman
Jacob Shpund
Wuyin Lin
Shaocheng Xie
author_sort Jingyu Wang
title Impact of a New Cloud Microphysics Parameterization on the Simulations of Mesoscale Convective Systems in E3SM
title_short Impact of a New Cloud Microphysics Parameterization on the Simulations of Mesoscale Convective Systems in E3SM
title_full Impact of a New Cloud Microphysics Parameterization on the Simulations of Mesoscale Convective Systems in E3SM
title_fullStr Impact of a New Cloud Microphysics Parameterization on the Simulations of Mesoscale Convective Systems in E3SM
title_full_unstemmed Impact of a New Cloud Microphysics Parameterization on the Simulations of Mesoscale Convective Systems in E3SM
title_sort impact of a new cloud microphysics parameterization on the simulations of mesoscale convective systems in e3sm
publisher American Geophysical Union (AGU)
publishDate 2021
url https://doaj.org/article/a93bc9ad2bbc41c1a12f75e7dabc22b2
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