author_facet Shen, Zhaoyi
Pressel, Kyle G.
Tan, Zhihong
Schneider, Tapio
Shen, Zhaoyi
Pressel, Kyle G.
Tan, Zhihong
Schneider, Tapio
author Shen, Zhaoyi
Pressel, Kyle G.
Tan, Zhihong
Schneider, Tapio
spellingShingle Shen, Zhaoyi
Pressel, Kyle G.
Tan, Zhihong
Schneider, Tapio
Journal of Advances in Modeling Earth Systems
Statistically Steady State Large‐Eddy Simulations Forced by an Idealized GCM: 1. Forcing Framework and Simulation Characteristics
General Earth and Planetary Sciences
Environmental Chemistry
Global and Planetary Change
author_sort shen, zhaoyi
spelling Shen, Zhaoyi Pressel, Kyle G. Tan, Zhihong Schneider, Tapio 1942-2466 1942-2466 American Geophysical Union (AGU) General Earth and Planetary Sciences Environmental Chemistry Global and Planetary Change http://dx.doi.org/10.1029/2019ms001814 <jats:title>Abstract</jats:title><jats:p>Using large‐eddy simulations (LES) systematically has the potential to inform parameterizations of subgrid‐scale processes in general circulation models (GCMs), such as turbulence, convection, and clouds. Here we show how LES can be run to simulate grid columns of GCMs to generate LES across a cross section of dynamical regimes. The LES setup approximately replicates the thermodynamic and water budgets in GCM grid columns. Resolved horizontal and vertical transports of heat and water and large‐scale pressure gradients from the GCM are prescribed as forcing in the LES. The LES are forced with prescribed surface temperatures, but atmospheric temperature and moisture are free to adjust, reducing the imprinting of GCM fields on the LES. In both the GCM and LES, radiative transfer is treated in a unified but idealized manner (semigray atmosphere without water vapor feedback or cloud radiative effects). We show that the LES in this setup reaches statistically steady states without nudging to thermodynamic GCM profiles. The steady states provide training data for developing GCM parameterizations. The same LES setup also provides a good basis for studying the cloud response to global warming.</jats:p> Statistically Steady State Large‐Eddy Simulations Forced by an Idealized GCM: 1. Forcing Framework and Simulation Characteristics Journal of Advances in Modeling Earth Systems
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title Statistically Steady State Large‐Eddy Simulations Forced by an Idealized GCM: 1. Forcing Framework and Simulation Characteristics
title_unstemmed Statistically Steady State Large‐Eddy Simulations Forced by an Idealized GCM: 1. Forcing Framework and Simulation Characteristics
title_full Statistically Steady State Large‐Eddy Simulations Forced by an Idealized GCM: 1. Forcing Framework and Simulation Characteristics
title_fullStr Statistically Steady State Large‐Eddy Simulations Forced by an Idealized GCM: 1. Forcing Framework and Simulation Characteristics
title_full_unstemmed Statistically Steady State Large‐Eddy Simulations Forced by an Idealized GCM: 1. Forcing Framework and Simulation Characteristics
title_short Statistically Steady State Large‐Eddy Simulations Forced by an Idealized GCM: 1. Forcing Framework and Simulation Characteristics
title_sort statistically steady state large‐eddy simulations forced by an idealized gcm: 1. forcing framework and simulation characteristics
topic General Earth and Planetary Sciences
Environmental Chemistry
Global and Planetary Change
url http://dx.doi.org/10.1029/2019ms001814
publishDate 2020
physical
description <jats:title>Abstract</jats:title><jats:p>Using large‐eddy simulations (LES) systematically has the potential to inform parameterizations of subgrid‐scale processes in general circulation models (GCMs), such as turbulence, convection, and clouds. Here we show how LES can be run to simulate grid columns of GCMs to generate LES across a cross section of dynamical regimes. The LES setup approximately replicates the thermodynamic and water budgets in GCM grid columns. Resolved horizontal and vertical transports of heat and water and large‐scale pressure gradients from the GCM are prescribed as forcing in the LES. The LES are forced with prescribed surface temperatures, but atmospheric temperature and moisture are free to adjust, reducing the imprinting of GCM fields on the LES. In both the GCM and LES, radiative transfer is treated in a unified but idealized manner (semigray atmosphere without water vapor feedback or cloud radiative effects). We show that the LES in this setup reaches statistically steady states without nudging to thermodynamic GCM profiles. The steady states provide training data for developing GCM parameterizations. The same LES setup also provides a good basis for studying the cloud response to global warming.</jats:p>
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author Shen, Zhaoyi, Pressel, Kyle G., Tan, Zhihong, Schneider, Tapio
author_facet Shen, Zhaoyi, Pressel, Kyle G., Tan, Zhihong, Schneider, Tapio, Shen, Zhaoyi, Pressel, Kyle G., Tan, Zhihong, Schneider, Tapio
author_sort shen, zhaoyi
container_issue 2
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container_title Journal of Advances in Modeling Earth Systems
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description <jats:title>Abstract</jats:title><jats:p>Using large‐eddy simulations (LES) systematically has the potential to inform parameterizations of subgrid‐scale processes in general circulation models (GCMs), such as turbulence, convection, and clouds. Here we show how LES can be run to simulate grid columns of GCMs to generate LES across a cross section of dynamical regimes. The LES setup approximately replicates the thermodynamic and water budgets in GCM grid columns. Resolved horizontal and vertical transports of heat and water and large‐scale pressure gradients from the GCM are prescribed as forcing in the LES. The LES are forced with prescribed surface temperatures, but atmospheric temperature and moisture are free to adjust, reducing the imprinting of GCM fields on the LES. In both the GCM and LES, radiative transfer is treated in a unified but idealized manner (semigray atmosphere without water vapor feedback or cloud radiative effects). We show that the LES in this setup reaches statistically steady states without nudging to thermodynamic GCM profiles. The steady states provide training data for developing GCM parameterizations. The same LES setup also provides a good basis for studying the cloud response to global warming.</jats:p>
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spelling Shen, Zhaoyi Pressel, Kyle G. Tan, Zhihong Schneider, Tapio 1942-2466 1942-2466 American Geophysical Union (AGU) General Earth and Planetary Sciences Environmental Chemistry Global and Planetary Change http://dx.doi.org/10.1029/2019ms001814 <jats:title>Abstract</jats:title><jats:p>Using large‐eddy simulations (LES) systematically has the potential to inform parameterizations of subgrid‐scale processes in general circulation models (GCMs), such as turbulence, convection, and clouds. Here we show how LES can be run to simulate grid columns of GCMs to generate LES across a cross section of dynamical regimes. The LES setup approximately replicates the thermodynamic and water budgets in GCM grid columns. Resolved horizontal and vertical transports of heat and water and large‐scale pressure gradients from the GCM are prescribed as forcing in the LES. The LES are forced with prescribed surface temperatures, but atmospheric temperature and moisture are free to adjust, reducing the imprinting of GCM fields on the LES. In both the GCM and LES, radiative transfer is treated in a unified but idealized manner (semigray atmosphere without water vapor feedback or cloud radiative effects). We show that the LES in this setup reaches statistically steady states without nudging to thermodynamic GCM profiles. The steady states provide training data for developing GCM parameterizations. The same LES setup also provides a good basis for studying the cloud response to global warming.</jats:p> Statistically Steady State Large‐Eddy Simulations Forced by an Idealized GCM: 1. Forcing Framework and Simulation Characteristics Journal of Advances in Modeling Earth Systems
spellingShingle Shen, Zhaoyi, Pressel, Kyle G., Tan, Zhihong, Schneider, Tapio, Journal of Advances in Modeling Earth Systems, Statistically Steady State Large‐Eddy Simulations Forced by an Idealized GCM: 1. Forcing Framework and Simulation Characteristics, General Earth and Planetary Sciences, Environmental Chemistry, Global and Planetary Change
title Statistically Steady State Large‐Eddy Simulations Forced by an Idealized GCM: 1. Forcing Framework and Simulation Characteristics
title_full Statistically Steady State Large‐Eddy Simulations Forced by an Idealized GCM: 1. Forcing Framework and Simulation Characteristics
title_fullStr Statistically Steady State Large‐Eddy Simulations Forced by an Idealized GCM: 1. Forcing Framework and Simulation Characteristics
title_full_unstemmed Statistically Steady State Large‐Eddy Simulations Forced by an Idealized GCM: 1. Forcing Framework and Simulation Characteristics
title_short Statistically Steady State Large‐Eddy Simulations Forced by an Idealized GCM: 1. Forcing Framework and Simulation Characteristics
title_sort statistically steady state large‐eddy simulations forced by an idealized gcm: 1. forcing framework and simulation characteristics
title_unstemmed Statistically Steady State Large‐Eddy Simulations Forced by an Idealized GCM: 1. Forcing Framework and Simulation Characteristics
topic General Earth and Planetary Sciences, Environmental Chemistry, Global and Planetary Change
url http://dx.doi.org/10.1029/2019ms001814