Title: Initial Results From the Super-Parameterized E3SM

Abstract

Results from the new DOE super-parameterized (SP) Energy Exascale Earth System Model (SP-E3SM) are analyzed and compared to the traditionally parameterized E3SMv1 and previous studies using SP models. SP-E3SM is unique in that it utilizes GPU hardware acceleration, CRM mean-state acceleration, and reduced radiation to dramatically increase the model throughput and allow decadal experiments at 100-km external resolution. It also differs from other SP models by using a spectral element dynamical core on a cubed sphere grid and a finer vertical grid with a higher model top. Despite these differences, SP-E3SM generally reproduces the behavior of other super-parameterized models. Tropical wave variability is improved relative to E3SM, including the emergence of a Madden-Julian Oscillation and a realistic slowdown of Moist Kelvin Waves. However, the distribution of precipitation exhibits an unrealistically large variance, and while the timing of diurnal rainfall shows modest improvements the signal is not as coherent as observations. A notable grid imprinting bias is identified in the precipitation field and attributed to a unique feedback associated with the interactions between explicit convection and the spectral element grid structure. Spurious zonal mean column water tendencies due to grid imprinting are quantified – while negligible for the conventionally parameterized E3SM,more » they become large with super-parameterization, approaching 10% of the physical tendencies. The implication is that finding a remedy to grid imprinting will become especially important as spectral element dynamical cores begin to be combined with explicitly resolved convection.« less

Authors:

Hannah, Walter M. ^[1]; Jones, Christopher R. ^[2]; Hillman, Benjamin R. ^[3]; Norman, Matthew R.  ^[4];

• Search DOE PAGES for author "Norman, Matthew R."
• Search DOE PAGES for ORCID "0000-0003-4764-3348"

Bader, David C. ^[1]; Taylor, Mark A. ^[3]; Leung, Lai-Yung R.  ^[2];

• Search DOE PAGES for author "Leung, Lai-Yung R."
• Search DOE PAGES for ORCID "0000-0002-3221-9467"

Pritchard, Michael S. ^[5]; Branson, Mark D. ^[6]; Lin, Guangxing  ^[2];

• Search DOE PAGES for author "Lin, Guangxing"
• Search DOE PAGES for ORCID "0000-0002-5443-3915"

Pressel, Kyle G. ^[2]; Lee, Jungmin M. ^[1]

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+ Show Author Affiliations

1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
3. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
4. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
5. Univ. of California, Irvine, CA (United States)
6. Colorado State Univ., Fort Collins, CO (United States)

Publication Date:

Sun Jan 12 00:00:00 EST 2020

Research Org.:

Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Org.:

USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); USDOE Office of Science (SC), Biological and Environmental Research (BER); USDOE National Nuclear Security Administration (NNSA)

OSTI Identifier:

1599174

Alternate Identifier(s):

OSTI ID: 1601439; OSTI ID: 1657909; OSTI ID: 1756145

Report Number(s):

PNNL-SA-146506; SAND-2019-9595J; LLNL-JRNL-787238
Journal ID: ISSN 1942-2466

Grant/Contract Number:  

AC04-94AL85000; AC05-76RL01830; AC52-07NA27344; AC05-00OR22725; AC02-05CH11231

Resource Type:

Accepted Manuscript

Journal Name:

Journal of Advances in Modeling Earth Systems

Additional Journal Information:

Journal Volume: 12; Journal Issue: 1; Journal ID: ISSN 1942-2466

Publisher:

American Geophysical Union (AGU)

Country of Publication:

United States

Language:

English

Subject:

54 ENVIRONMENTAL SCIENCES; 97 MATHEMATICS AND COMPUTING; 58 GEOSCIENCES