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 Niño. 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.
Caldwell, Peter M., et al. "The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution." Journal of Advances in Modeling Earth Systems, vol. 11, Nov. 2019. https://doi.org/10.1029/2019MS001870
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, ... Zhou, Tian (2019). The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution. Journal of Advances in Modeling Earth Systems, 11. https://doi.org/10.1029/2019MS001870
Caldwell, Peter M., Mametjanov, Azamat, Tang, Qi, et al., "The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution," Journal of Advances in Modeling Earth Systems 11 (2019), https://doi.org/10.1029/2019MS001870
@article{osti_1581236,
author = {Caldwell, Peter M. and Mametjanov, Azamat and Tang, Qi and Van Roekel, Luke P. and Golaz, Jean‐Christophe and Lin, Wuyin and Bader, David C. and Keen, Noel D. and Feng, Yan and Jacob, Robert and others},
title = {The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution},
annote = {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 Niño. 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.},
doi = {10.1029/2019MS001870},
url = {https://www.osti.gov/biblio/1581236},
journal = {Journal of Advances in Modeling Earth Systems},
issn = {ISSN 1942-2466},
volume = {11},
place = {United States},
publisher = {American Geophysical Union (AGU)},
year = {2019},
month = {11}}
Argonne National Laboratory (ANL), Argonne, IL (United States). Argonne Leadership Computing Facility (ALCF); Brookhaven National Laboratory (BNL), Upton, NY (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities Division; USDOE Office of Science (SC), Biological and Environmental Research (BER)
