The fully coupled regionally refined model of E3SM version 2: overview of the atmosphere, land, and river results

This paper provides an overview of the United States (US) Department of Energy's (DOE's) Energy Exascale Earth System Model version 2 (E3SMv2) fully coupled regionally refined model (RRM) and documents the overall atmosphere, land, and river results from the Coupled Model Intercomparison P...

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Published in:Geoscientific Model Development
Main Authors: Q. Tang, J.-C. Golaz, L. P. Van Roekel, M. A. Taylor, W. Lin, B. R. Hillman, P. A. Ullrich, A. M. Bradley, O. Guba, J. D. Wolfe, T. Zhou, K. Zhang, X. Zheng, Y. Zhang, M. Zhang, M. Wu, H. Wang, C. Tao, B. Singh, A. M. Rhoades, Y. Qin, H.-Y. Li, Y. Feng, C. Zhang, C. S. Zender, S. Xie, E. L. Roesler, A. F. Roberts, A. Mametjanov, M. E. Maltrud, N. D. Keen, R. L. Jacob, C. Jablonowski, O. K. Hughes, R. M. Forsyth, A. V. Di Vittorio, P. M. Caldwell, G. Bisht, R. B. McCoy, L. R. Leung, D. C. Bader
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2023
Subjects:
Online Access:https://doi.org/10.5194/gmd-16-3953-2023
https://doaj.org/article/c74f48bbdf6b4f03a5dd135d9bc43a71
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spelling ftdoajarticles:oai:doaj.org/article:c74f48bbdf6b4f03a5dd135d9bc43a71 2023-07-30T04:05:43+02:00 The fully coupled regionally refined model of E3SM version 2: overview of the atmosphere, land, and river results Q. Tang J.-C. Golaz L. P. Van Roekel M. A. Taylor W. Lin B. R. Hillman P. A. Ullrich A. M. Bradley O. Guba J. D. Wolfe T. Zhou K. Zhang X. Zheng Y. Zhang M. Zhang M. Wu H. Wang C. Tao B. Singh A. M. Rhoades Y. Qin H.-Y. Li Y. Feng C. Zhang C. S. Zender S. Xie E. L. Roesler A. F. Roberts A. Mametjanov M. E. Maltrud N. D. Keen R. L. Jacob C. Jablonowski O. K. Hughes R. M. Forsyth A. V. Di Vittorio P. M. Caldwell G. Bisht R. B. McCoy L. R. Leung D. C. Bader 2023-07-01T00:00:00Z https://doi.org/10.5194/gmd-16-3953-2023 https://doaj.org/article/c74f48bbdf6b4f03a5dd135d9bc43a71 EN eng Copernicus Publications https://gmd.copernicus.org/articles/16/3953/2023/gmd-16-3953-2023.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-16-3953-2023 1991-959X 1991-9603 https://doaj.org/article/c74f48bbdf6b4f03a5dd135d9bc43a71 Geoscientific Model Development, Vol 16, Pp 3953-3995 (2023) Geology QE1-996.5 article 2023 ftdoajarticles https://doi.org/10.5194/gmd-16-3953-2023 2023-07-16T00:35:48Z This paper provides an overview of the United States (US) Department of Energy's (DOE's) Energy Exascale Earth System Model version 2 (E3SMv2) fully coupled regionally refined model (RRM) and documents the overall atmosphere, land, and river results from the Coupled Model Intercomparison Project 6 (CMIP6) DECK (Diagnosis, Evaluation, and Characterization of Klima) and historical simulations – a first-of-its-kind set of climate production simulations using RRM. The North American (NA) RRM (NARRM) is developed as the high-resolution configuration of E3SMv2 with the primary goal of more explicitly addressing DOE's mission needs regarding impacts to the US energy sector facing Earth system changes. The NARRM features finer horizontal resolution grids centered over NA, consisting of 25 → 100 km atmosphere and land, a 0.125 ∘ river-routing model, and 14 → 60 km ocean and sea ice. By design, the computational cost of NARRM is ∼ 3 × <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="28pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="abc0464bce5d23ec3bda0eaca50f539a"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="gmd-16-3953-2023-ie00001.svg" width="28pt" height="10pt" src="gmd-16-3953-2023-ie00001.png"/></svg:svg> of the uniform low-resolution (LR) model at 100 km but only ∼ 10 %–20 % of a globally uniform high-resolution model at 25 km. A novel hybrid time step strategy for the atmosphere is key for NARRM to achieve improved climate simulation fidelity within the high-resolution patch without sacrificing the overall global performance. The global climate, including climatology, time series, sensitivity, and feedback, is confirmed to be largely identical between NARRM and LR as quantified with typical climate metrics. Over the refined NA area, NARRM is generally superior to LR, including for precipitation and clouds over the contiguous US (CONUS), summertime marine stratocumulus clouds off the coast of California, liquid and ice phase clouds near the North Pole ... Article in Journal/Newspaper North Pole Sea ice Directory of Open Access Journals: DOAJ Articles North Pole Geoscientific Model Development 16 13 3953 3995
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Geology
QE1-996.5
spellingShingle Geology
QE1-996.5
Q. Tang
J.-C. Golaz
L. P. Van Roekel
M. A. Taylor
W. Lin
B. R. Hillman
P. A. Ullrich
A. M. Bradley
O. Guba
J. D. Wolfe
T. Zhou
K. Zhang
X. Zheng
Y. Zhang
M. Zhang
M. Wu
H. Wang
C. Tao
B. Singh
A. M. Rhoades
Y. Qin
H.-Y. Li
Y. Feng
C. Zhang
C. S. Zender
S. Xie
E. L. Roesler
A. F. Roberts
A. Mametjanov
M. E. Maltrud
N. D. Keen
R. L. Jacob
C. Jablonowski
O. K. Hughes
R. M. Forsyth
A. V. Di Vittorio
P. M. Caldwell
G. Bisht
R. B. McCoy
L. R. Leung
D. C. Bader
The fully coupled regionally refined model of E3SM version 2: overview of the atmosphere, land, and river results
topic_facet Geology
QE1-996.5
description This paper provides an overview of the United States (US) Department of Energy's (DOE's) Energy Exascale Earth System Model version 2 (E3SMv2) fully coupled regionally refined model (RRM) and documents the overall atmosphere, land, and river results from the Coupled Model Intercomparison Project 6 (CMIP6) DECK (Diagnosis, Evaluation, and Characterization of Klima) and historical simulations – a first-of-its-kind set of climate production simulations using RRM. The North American (NA) RRM (NARRM) is developed as the high-resolution configuration of E3SMv2 with the primary goal of more explicitly addressing DOE's mission needs regarding impacts to the US energy sector facing Earth system changes. The NARRM features finer horizontal resolution grids centered over NA, consisting of 25 → 100 km atmosphere and land, a 0.125 ∘ river-routing model, and 14 → 60 km ocean and sea ice. By design, the computational cost of NARRM is ∼ 3 × <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="28pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="abc0464bce5d23ec3bda0eaca50f539a"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="gmd-16-3953-2023-ie00001.svg" width="28pt" height="10pt" src="gmd-16-3953-2023-ie00001.png"/></svg:svg> of the uniform low-resolution (LR) model at 100 km but only ∼ 10 %–20 % of a globally uniform high-resolution model at 25 km. A novel hybrid time step strategy for the atmosphere is key for NARRM to achieve improved climate simulation fidelity within the high-resolution patch without sacrificing the overall global performance. The global climate, including climatology, time series, sensitivity, and feedback, is confirmed to be largely identical between NARRM and LR as quantified with typical climate metrics. Over the refined NA area, NARRM is generally superior to LR, including for precipitation and clouds over the contiguous US (CONUS), summertime marine stratocumulus clouds off the coast of California, liquid and ice phase clouds near the North Pole ...
format Article in Journal/Newspaper
author Q. Tang
J.-C. Golaz
L. P. Van Roekel
M. A. Taylor
W. Lin
B. R. Hillman
P. A. Ullrich
A. M. Bradley
O. Guba
J. D. Wolfe
T. Zhou
K. Zhang
X. Zheng
Y. Zhang
M. Zhang
M. Wu
H. Wang
C. Tao
B. Singh
A. M. Rhoades
Y. Qin
H.-Y. Li
Y. Feng
C. Zhang
C. S. Zender
S. Xie
E. L. Roesler
A. F. Roberts
A. Mametjanov
M. E. Maltrud
N. D. Keen
R. L. Jacob
C. Jablonowski
O. K. Hughes
R. M. Forsyth
A. V. Di Vittorio
P. M. Caldwell
G. Bisht
R. B. McCoy
L. R. Leung
D. C. Bader
author_facet Q. Tang
J.-C. Golaz
L. P. Van Roekel
M. A. Taylor
W. Lin
B. R. Hillman
P. A. Ullrich
A. M. Bradley
O. Guba
J. D. Wolfe
T. Zhou
K. Zhang
X. Zheng
Y. Zhang
M. Zhang
M. Wu
H. Wang
C. Tao
B. Singh
A. M. Rhoades
Y. Qin
H.-Y. Li
Y. Feng
C. Zhang
C. S. Zender
S. Xie
E. L. Roesler
A. F. Roberts
A. Mametjanov
M. E. Maltrud
N. D. Keen
R. L. Jacob
C. Jablonowski
O. K. Hughes
R. M. Forsyth
A. V. Di Vittorio
P. M. Caldwell
G. Bisht
R. B. McCoy
L. R. Leung
D. C. Bader
author_sort Q. Tang
title The fully coupled regionally refined model of E3SM version 2: overview of the atmosphere, land, and river results
title_short The fully coupled regionally refined model of E3SM version 2: overview of the atmosphere, land, and river results
title_full The fully coupled regionally refined model of E3SM version 2: overview of the atmosphere, land, and river results
title_fullStr The fully coupled regionally refined model of E3SM version 2: overview of the atmosphere, land, and river results
title_full_unstemmed The fully coupled regionally refined model of E3SM version 2: overview of the atmosphere, land, and river results
title_sort fully coupled regionally refined model of e3sm version 2: overview of the atmosphere, land, and river results
publisher Copernicus Publications
publishDate 2023
url https://doi.org/10.5194/gmd-16-3953-2023
https://doaj.org/article/c74f48bbdf6b4f03a5dd135d9bc43a71
geographic North Pole
geographic_facet North Pole
genre North Pole
Sea ice
genre_facet North Pole
Sea ice
op_source Geoscientific Model Development, Vol 16, Pp 3953-3995 (2023)
op_relation https://gmd.copernicus.org/articles/16/3953/2023/gmd-16-3953-2023.pdf
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https://doaj.org/toc/1991-9603
doi:10.5194/gmd-16-3953-2023
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