The Implementation of Framework for Improvement by Vertical Enhancement Into Energy Exascale Earth System Model

Abstract The low cloud bias in global climate models (GCMs) remains an unsolved problem. Coarse vertical resolution in GCMs has been suggested to be a significant cause of low cloud bias because planetary boundary layer parameterizations cannot resolve sharp temperature and moisture gradients often...

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Main Authors: Hsiang‐He Lee, Peter Bogenschutz, Takanobu Yamaguchi
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2021-06-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
Online Access:https://doi.org/10.1029/2020MS002240
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author Hsiang‐He Lee
Peter Bogenschutz
Takanobu Yamaguchi
author_facet Hsiang‐He Lee
Peter Bogenschutz
Takanobu Yamaguchi
author_sort Hsiang‐He Lee
collection DOAJ
description Abstract The low cloud bias in global climate models (GCMs) remains an unsolved problem. Coarse vertical resolution in GCMs has been suggested to be a significant cause of low cloud bias because planetary boundary layer parameterizations cannot resolve sharp temperature and moisture gradients often found at the top of subtropical stratocumulus layers. This work aims to ameliorate the low cloud problem by implementing a new computational method, the Framework for Improvement by Vertical Enhancement (FIVE), into the Energy Exascale Earth System Model (E3SM). Three physics schemes representing microphysics, radiation, and turbulence as well as vertical advection are interfaced to vertically enhanced physics (VEP), which allows for these processes to be computed on a higher vertical resolution grid compared to the rest of the E3SM model. We demonstrate the better representation of subtropical boundary layer clouds with FIVE while limiting additional computational cost from the increased number of levels. When the vertical resolution approaches the large eddy simulation‐like vertical resolution in VEP, the climatological low cloud amount shows a significant increase of more than 30% in the southeastern Pacific Ocean. Using FIVE to improve the representation of low‐level clouds does not come with any negative side effects associated with the simulation of mid‐ and high‐level cloud and precipitation, that can occur when running the full model at higher vertical resolution.
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spelling doaj.art-80a55d91c2e7485d8fa9a69f673802e72022-12-21T22:31:16ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662021-06-01136n/an/a10.1029/2020MS002240The Implementation of Framework for Improvement by Vertical Enhancement Into Energy Exascale Earth System ModelHsiang‐He Lee0Peter Bogenschutz1Takanobu Yamaguchi2Atmospheric, Earth, and Energy Division Lawrence Livermore National Laboratory Livermore CA USAAtmospheric, Earth, and Energy Division Lawrence Livermore National Laboratory Livermore CA USACooperative Institute for Research in Environmental Sciences University of Colorado Boulder CO USAAbstract The low cloud bias in global climate models (GCMs) remains an unsolved problem. Coarse vertical resolution in GCMs has been suggested to be a significant cause of low cloud bias because planetary boundary layer parameterizations cannot resolve sharp temperature and moisture gradients often found at the top of subtropical stratocumulus layers. This work aims to ameliorate the low cloud problem by implementing a new computational method, the Framework for Improvement by Vertical Enhancement (FIVE), into the Energy Exascale Earth System Model (E3SM). Three physics schemes representing microphysics, radiation, and turbulence as well as vertical advection are interfaced to vertically enhanced physics (VEP), which allows for these processes to be computed on a higher vertical resolution grid compared to the rest of the E3SM model. We demonstrate the better representation of subtropical boundary layer clouds with FIVE while limiting additional computational cost from the increased number of levels. When the vertical resolution approaches the large eddy simulation‐like vertical resolution in VEP, the climatological low cloud amount shows a significant increase of more than 30% in the southeastern Pacific Ocean. Using FIVE to improve the representation of low‐level clouds does not come with any negative side effects associated with the simulation of mid‐ and high‐level cloud and precipitation, that can occur when running the full model at higher vertical resolution.https://doi.org/10.1029/2020MS002240E3SMFIVEstratocumulus cloudvertical resolutionlow‐level cloudmarine boundary layer
spellingShingle Hsiang‐He Lee
Peter Bogenschutz
Takanobu Yamaguchi
The Implementation of Framework for Improvement by Vertical Enhancement Into Energy Exascale Earth System Model
Journal of Advances in Modeling Earth Systems
E3SM
FIVE
stratocumulus cloud
vertical resolution
low‐level cloud
marine boundary layer
title The Implementation of Framework for Improvement by Vertical Enhancement Into Energy Exascale Earth System Model
title_full The Implementation of Framework for Improvement by Vertical Enhancement Into Energy Exascale Earth System Model
title_fullStr The Implementation of Framework for Improvement by Vertical Enhancement Into Energy Exascale Earth System Model
title_full_unstemmed The Implementation of Framework for Improvement by Vertical Enhancement Into Energy Exascale Earth System Model
title_short The Implementation of Framework for Improvement by Vertical Enhancement Into Energy Exascale Earth System Model
title_sort implementation of framework for improvement by vertical enhancement into energy exascale earth system model
topic E3SM
FIVE
stratocumulus cloud
vertical resolution
low‐level cloud
marine boundary layer
url https://doi.org/10.1029/2020MS002240
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