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Title: The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution

Journal Article · · Journal of Advances in Modeling Earth Systems
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  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Argonne National Lab. (ANL), Lemont, IL (United States)
  3. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  4. Brookhaven National Lab. (BNL), Upton, NY (United States)
  5. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  6. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  7. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  8. Univ. of Houston, TX (United States)
  9. Univ. of  Wyoming, Laramie, WY (United States)
  10. National Center for Atmospheric Research, Boulder, CO (United States)
  11. Univ. of California, Davis, CA (United States)

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.

Research Organization:
Brookhaven National Laboratory (BNL), Upton, NY (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Argonne National Laboratory (ANL), Argonne, IL (United States). Argonne Leadership Computing Facility (ALCF); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC); Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER); USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities Division; USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
SC0012704; AC02-06CH11357; AC02-05CH11231; NA0003525; AC52-07NA27344; AC04-94AL85000
OSTI ID:
1581236
Alternate ID(s):
OSTI ID: 1615005; OSTI ID: 1630615; OSTI ID: 1697997; OSTI ID: 1597601; OSTI ID: 1599175
Report Number(s):
BNL--212498-2019-JAAM
Journal Information:
Journal of Advances in Modeling Earth Systems, Journal Name: Journal of Advances in Modeling Earth Systems Vol. 11; ISSN 1942-2466
Publisher:
American Geophysical Union (AGU)Copyright Statement
Country of Publication:
United States
Language:
English

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