The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution
This study provides an overview of the coupled high-resolution Version 1 of the Energy Exascale Earth System Model (E3SMv1) and documents the characteristics of a 50-year-long high-resolution control simulation with time-invariant 1950 forcings following the HighResMIP protocol. In terms of global r...
Published in: | Journal of Advances in Modeling Earth Systems |
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Online Access: | http://www.osti.gov/servlets/purl/1599175 https://www.osti.gov/biblio/1599175 https://doi.org/10.1029/2019MS001870 |
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ftosti:oai:osti.gov:1599175 2023-07-30T04:04:43+02:00 The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution Caldwell, Peter M. Mametjanov, Azamat Tang, Qi Van Roekel, Luke P. Golaz, Jean‐Christophe Lin, Wuyin Bader, David C. Keen, Noel D. Feng, Yan Jacob, Robert Maltrud, Mathew E. Roberts, Andrew F. Taylor, Mark A. Veneziani, Milena Wang, Hailong Wolfe, Jonathan D. Balaguru, Karthik Cameron‐Smith, Philip Dong, Lu Klein, Stephen A. Leung, L. Ruby Li, Hong‐Yi Li, Qing Liu, Xiaohong Neale, Richard B. Pinheiro, Marielle Qian, Yun Ullrich, Paul A. Xie, Shaocheng Yang, Yang Zhang, Yuying Zhang, Kai Zhou, Tian 2023-06-30 application/pdf http://www.osti.gov/servlets/purl/1599175 https://www.osti.gov/biblio/1599175 https://doi.org/10.1029/2019MS001870 unknown http://www.osti.gov/servlets/purl/1599175 https://www.osti.gov/biblio/1599175 https://doi.org/10.1029/2019MS001870 doi:10.1029/2019MS001870 54 ENVIRONMENTAL SCIENCES 2023 ftosti https://doi.org/10.1029/2019MS001870 2023-07-11T09:39:51Z This study provides an overview of the coupled high-resolution Version 1 of the Energy Exascale Earth System Model (E3SMv1) and documents the characteristics of a 50-year-long high-resolution control simulation with time-invariant 1950 forcings following the HighResMIP protocol. In terms of global root-mean-squared error metrics, this high-resolution simulation is generally superior to results from the low-resolution configuration of E3SMv1 (due to resolution, tuning changes, and possibly initialization procedure) and compares favorably to models in the CMIP5 ensemble. Ocean and sea ice simulation is particularly improved, due to better resolution of bathymetry, the ability to capture more variability and extremes in winds and currents, and the ability to resolve mesoscale ocean eddies. The largest improvement in this regard is an ice-free Labrador Sea, which is a major problem at low resolution. Interestingly, several features found to improve with resolution in previous studies are insensitive to resolution or even degrade in E3SMv1. Most notable in this regard are warm bias and associated stratocumulus deficiency in eastern subtropical oceans and lack of improvement in El Nino. Another major finding of this study is that resolution increase had negligible impact on climate sensitivity (measured by net feedback determined through uniform +4K prescribed sea surface temperature increase) and aerosol sensitivity. Cloud response to resolution increase consisted of very minor decrease at all levels. Large-scale patterns of precipitation bias were also relatively unaffected by grid spacing. Other/Unknown Material Labrador Sea Sea ice SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Journal of Advances in Modeling Earth Systems 11 12 4095 4146 |
institution |
Open Polar |
collection |
SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
op_collection_id |
ftosti |
language |
unknown |
topic |
54 ENVIRONMENTAL SCIENCES |
spellingShingle |
54 ENVIRONMENTAL SCIENCES Caldwell, Peter M. Mametjanov, Azamat Tang, Qi Van Roekel, Luke P. Golaz, Jean‐Christophe Lin, Wuyin Bader, David C. Keen, Noel D. Feng, Yan Jacob, Robert Maltrud, Mathew E. Roberts, Andrew F. Taylor, Mark A. Veneziani, Milena Wang, Hailong Wolfe, Jonathan D. Balaguru, Karthik Cameron‐Smith, Philip Dong, Lu Klein, Stephen A. Leung, L. Ruby Li, Hong‐Yi Li, Qing Liu, Xiaohong Neale, Richard B. Pinheiro, Marielle Qian, Yun Ullrich, Paul A. Xie, Shaocheng Yang, Yang Zhang, Yuying Zhang, Kai Zhou, Tian The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution |
topic_facet |
54 ENVIRONMENTAL SCIENCES |
description |
This study provides an overview of the coupled high-resolution Version 1 of the Energy Exascale Earth System Model (E3SMv1) and documents the characteristics of a 50-year-long high-resolution control simulation with time-invariant 1950 forcings following the HighResMIP protocol. In terms of global root-mean-squared error metrics, this high-resolution simulation is generally superior to results from the low-resolution configuration of E3SMv1 (due to resolution, tuning changes, and possibly initialization procedure) and compares favorably to models in the CMIP5 ensemble. Ocean and sea ice simulation is particularly improved, due to better resolution of bathymetry, the ability to capture more variability and extremes in winds and currents, and the ability to resolve mesoscale ocean eddies. The largest improvement in this regard is an ice-free Labrador Sea, which is a major problem at low resolution. Interestingly, several features found to improve with resolution in previous studies are insensitive to resolution or even degrade in E3SMv1. Most notable in this regard are warm bias and associated stratocumulus deficiency in eastern subtropical oceans and lack of improvement in El Nino. Another major finding of this study is that resolution increase had negligible impact on climate sensitivity (measured by net feedback determined through uniform +4K prescribed sea surface temperature increase) and aerosol sensitivity. Cloud response to resolution increase consisted of very minor decrease at all levels. Large-scale patterns of precipitation bias were also relatively unaffected by grid spacing. |
author |
Caldwell, Peter M. Mametjanov, Azamat Tang, Qi Van Roekel, Luke P. Golaz, Jean‐Christophe Lin, Wuyin Bader, David C. Keen, Noel D. Feng, Yan Jacob, Robert Maltrud, Mathew E. Roberts, Andrew F. Taylor, Mark A. Veneziani, Milena Wang, Hailong Wolfe, Jonathan D. Balaguru, Karthik Cameron‐Smith, Philip Dong, Lu Klein, Stephen A. Leung, L. Ruby Li, Hong‐Yi Li, Qing Liu, Xiaohong Neale, Richard B. Pinheiro, Marielle Qian, Yun Ullrich, Paul A. Xie, Shaocheng Yang, Yang Zhang, Yuying Zhang, Kai Zhou, Tian |
author_facet |
Caldwell, Peter M. Mametjanov, Azamat Tang, Qi Van Roekel, Luke P. Golaz, Jean‐Christophe Lin, Wuyin Bader, David C. Keen, Noel D. Feng, Yan Jacob, Robert Maltrud, Mathew E. Roberts, Andrew F. Taylor, Mark A. Veneziani, Milena Wang, Hailong Wolfe, Jonathan D. Balaguru, Karthik Cameron‐Smith, Philip Dong, Lu Klein, Stephen A. Leung, L. Ruby Li, Hong‐Yi Li, Qing Liu, Xiaohong Neale, Richard B. Pinheiro, Marielle Qian, Yun Ullrich, Paul A. Xie, Shaocheng Yang, Yang Zhang, Yuying Zhang, Kai Zhou, Tian |
author_sort |
Caldwell, Peter M. |
title |
The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution |
title_short |
The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution |
title_full |
The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution |
title_fullStr |
The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution |
title_full_unstemmed |
The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution |
title_sort |
doe e3sm coupled model version 1: description and results at high resolution |
publishDate |
2023 |
url |
http://www.osti.gov/servlets/purl/1599175 https://www.osti.gov/biblio/1599175 https://doi.org/10.1029/2019MS001870 |
genre |
Labrador Sea Sea ice |
genre_facet |
Labrador Sea Sea ice |
op_relation |
http://www.osti.gov/servlets/purl/1599175 https://www.osti.gov/biblio/1599175 https://doi.org/10.1029/2019MS001870 doi:10.1029/2019MS001870 |
op_doi |
https://doi.org/10.1029/2019MS001870 |
container_title |
Journal of Advances in Modeling Earth Systems |
container_volume |
11 |
container_issue |
12 |
container_start_page |
4095 |
op_container_end_page |
4146 |
_version_ |
1772816300552224768 |