DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Description of historical and future projection simulations by the global coupled E3SMv1.0 model as used in CMIP6

Abstract

This paper documents the experimental setup and general features of the coupled historical and future climate simulations with the first version of the US Department of Energy (DOE) Energy Exascale Earth System Model (E3SMv1.0). The future projected climate characteristics of E3SMv1.0 at the highest emission scenario (SSP5-8.5) designed in the Scenario Model Intercomparison Project (ScenarioMIP) and the SSP5-8.5 greenhouse gas (GHG) only forcing experiment are analyzed with a focus on regional responses of atmosphere, ocean, sea ice, and land. Due to its high equilibrium climate sensitivity (ECS of 5.3 K), E3SMv1.0 is one of the Coupled Model Intercomparison Project phase 6 (CMIP6) models with the largest surface warming by the end of the 21st century under the high-emission SSP5-8.5 scenario. The global mean precipitation change is highly correlated with the global temperature change, while the spatial pattern of the change in runoff is consistent with the precipitation changes. The oceanic mixed layer generally shoals throughout the global ocean. The annual mean Atlantic meridional overturning circulation (AMOC) is overly weak with a slower change from ~11 to ~6 Sv (Sverdrup) relative to other CMIP6 models. The sea ice, especially in the Northern Hemisphere, decreases rapidly with large seasonal variability. We detectmore » a significant polar amplification in E3SMv1.0 from the atmosphere, ocean, and sea ice. Comparing the SSP5-8.5 all-forcing experiment with the GHG-only experiment, we find that the unmasking of the aerosol effects due to the decline of the aerosol loading in the future projection period causes transient accelerated warming in the all-forcing experiment in the first half of the 21st century. While the oceanic climate response is mainly controlled by the GHG forcing, the land runoff response is impacted primarily by forcings other than GHG over certain regions, e.g., southern North America, southern Africa, central Africa, and eastern Asia. However, the importance of the GHG forcing on the land runoff changes grows in the future climate projection period compared to the historical period.« less

Authors:
ORCiD logo; ORCiD logo; ORCiD logo; ORCiD logo; ORCiD logo; ORCiD logo; ORCiD logo; ORCiD logo
Publication Date:
Research Org.:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER); USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1867940
Alternate Identifier(s):
OSTI ID: 1878290; OSTI ID: 1883145; OSTI ID: 1885109
Report Number(s):
PNNL-SA-166656; LLNL-JRNL-826361; LA-UR-21-28935
Journal ID: ISSN 1991-9603
Grant/Contract Number:  
E3SM project; AC05-76RL01830; AC52-07NA27344; AC02-05CH11231; 89233218CNA000001
Resource Type:
Published Article
Journal Name:
Geoscientific Model Development (Online)
Additional Journal Information:
Journal Name: Geoscientific Model Development (Online) Journal Volume: 15 Journal Issue: 9; Journal ID: ISSN 1991-9603
Publisher:
Copernicus GmbH
Country of Publication:
Germany
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Earth sciences

Citation Formats

Zheng, Xue, Li, Qing, Zhou, Tian, Tang, Qi, Van Roekel, Luke P., Golaz, Jean-Christophe, Wang, Hailong, and Cameron-Smith, Philip. Description of historical and future projection simulations by the global coupled E3SMv1.0 model as used in CMIP6. Germany: N. p., 2022. Web. doi:10.5194/gmd-15-3941-2022.
Zheng, Xue, Li, Qing, Zhou, Tian, Tang, Qi, Van Roekel, Luke P., Golaz, Jean-Christophe, Wang, Hailong, & Cameron-Smith, Philip. Description of historical and future projection simulations by the global coupled E3SMv1.0 model as used in CMIP6. Germany. https://doi.org/10.5194/gmd-15-3941-2022
Zheng, Xue, Li, Qing, Zhou, Tian, Tang, Qi, Van Roekel, Luke P., Golaz, Jean-Christophe, Wang, Hailong, and Cameron-Smith, Philip. Mon . "Description of historical and future projection simulations by the global coupled E3SMv1.0 model as used in CMIP6". Germany. https://doi.org/10.5194/gmd-15-3941-2022.
@article{osti_1867940,
title = {Description of historical and future projection simulations by the global coupled E3SMv1.0 model as used in CMIP6},
author = {Zheng, Xue and Li, Qing and Zhou, Tian and Tang, Qi and Van Roekel, Luke P. and Golaz, Jean-Christophe and Wang, Hailong and Cameron-Smith, Philip},
abstractNote = {This paper documents the experimental setup and general features of the coupled historical and future climate simulations with the first version of the US Department of Energy (DOE) Energy Exascale Earth System Model (E3SMv1.0). The future projected climate characteristics of E3SMv1.0 at the highest emission scenario (SSP5-8.5) designed in the Scenario Model Intercomparison Project (ScenarioMIP) and the SSP5-8.5 greenhouse gas (GHG) only forcing experiment are analyzed with a focus on regional responses of atmosphere, ocean, sea ice, and land. Due to its high equilibrium climate sensitivity (ECS of 5.3 K), E3SMv1.0 is one of the Coupled Model Intercomparison Project phase 6 (CMIP6) models with the largest surface warming by the end of the 21st century under the high-emission SSP5-8.5 scenario. The global mean precipitation change is highly correlated with the global temperature change, while the spatial pattern of the change in runoff is consistent with the precipitation changes. The oceanic mixed layer generally shoals throughout the global ocean. The annual mean Atlantic meridional overturning circulation (AMOC) is overly weak with a slower change from ~11 to ~6 Sv (Sverdrup) relative to other CMIP6 models. The sea ice, especially in the Northern Hemisphere, decreases rapidly with large seasonal variability. We detect a significant polar amplification in E3SMv1.0 from the atmosphere, ocean, and sea ice. Comparing the SSP5-8.5 all-forcing experiment with the GHG-only experiment, we find that the unmasking of the aerosol effects due to the decline of the aerosol loading in the future projection period causes transient accelerated warming in the all-forcing experiment in the first half of the 21st century. While the oceanic climate response is mainly controlled by the GHG forcing, the land runoff response is impacted primarily by forcings other than GHG over certain regions, e.g., southern North America, southern Africa, central Africa, and eastern Asia. However, the importance of the GHG forcing on the land runoff changes grows in the future climate projection period compared to the historical period.},
doi = {10.5194/gmd-15-3941-2022},
journal = {Geoscientific Model Development (Online)},
number = 9,
volume = 15,
place = {Germany},
year = {Mon May 16 00:00:00 EDT 2022},
month = {Mon May 16 00:00:00 EDT 2022}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.5194/gmd-15-3941-2022

Save / Share:

Works referenced in this record:

Precipitation projections in the tropical Pacific are sensitive to different types of SST bias adjustment: PRECIPITATION AND SST BIAS ADJUSTMENT
journal, December 2015

  • Brown, Jaclyn N.; Matear, Richard J.; Brown, Josephine R.
  • Geophysical Research Letters, Vol. 42, Issue 24
  • DOI: 10.1002/2015GL066184

Aerosol contribution to the rapid warming of near-term climate under RCP 2.6: AEROSOL CONTRIBUTION TO RAPID WARMING
journal, September 2012

  • Chalmers, N.; Highwood, E. J.; Hawkins, E.
  • Geophysical Research Letters, Vol. 39, Issue 18
  • DOI: 10.1029/2012GL052848

Improved constraints on 21st-century warming derived using 160 years of temperature observations: OBSERVATIONALLY-CONSTRAINED PROJECTIONS
journal, January 2012

  • Gillett, N. P.; Arora, V. K.; Flato, G. M.
  • Geophysical Research Letters, Vol. 39, Issue 1
  • DOI: 10.1029/2011GL050226

Compensation Between Cloud Feedback and Aerosol‐Cloud Interaction in CMIP6 Models
journal, February 2021

  • Wang, Chenggong; Soden, Brian J.; Yang, Wenchang
  • Geophysical Research Letters, Vol. 48, Issue 4
  • DOI: 10.1029/2020GL091024

Attribution of observed historical near-surface temperature variations to anthropogenic and natural causes using CMIP5 simulations: ATTRIBUTION OF TEMPERATURES WITH CMIP5
journal, May 2013

  • Jones, Gareth S.; Stott, Peter A.; Christidis, Nikolaos
  • Journal of Geophysical Research: Atmospheres, Vol. 118, Issue 10
  • DOI: 10.1002/jgrd.50239

The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution
journal, July 2019

  • Golaz, Jean‐Christophe; Caldwell, Peter M.; Van Roekel, Luke P.
  • Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 7
  • DOI: 10.1029/2018MS001603

Polar amplification of climate change in coupled models
journal, September 2003


Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization
journal, January 2016

  • Eyring, Veronika; Bony, Sandrine; Meehl, Gerald A.
  • Geoscientific Model Development, Vol. 9, Issue 5
  • DOI: 10.5194/gmd-9-1937-2016

The Global Precipitation Climatology Project (GPCP) Monthly Analysis (New Version 2.3) and a Review of 2017 Global Precipitation
journal, April 2018

  • Adler, Robert; Sapiano, Mathew; Huffman, George
  • Atmosphere, Vol. 9, Issue 4
  • DOI: 10.3390/atmos9040138

Energetic Constraints on Precipitation Under Climate Change
journal, November 2011

  • O’Gorman, Paul A.; Allan, Richard P.; Byrne, Michael P.
  • Surveys in Geophysics, Vol. 33, Issue 3-4
  • DOI: 10.1007/s10712-011-9159-6

CMIP6 Models Predict Significant 21st Century Decline of the Atlantic Meridional Overturning Circulation
journal, June 2020

  • Weijer, W.; Cheng, W.; Garuba, O. A.
  • Geophysical Research Letters, Vol. 47, Issue 12
  • DOI: 10.1029/2019GL086075

Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6
journal, January 2021

  • Tebaldi, Claudia; Debeire, Kevin; Eyring, Veronika
  • Earth System Dynamics, Vol. 12, Issue 1
  • DOI: 10.5194/esd-12-253-2021

Detecting changes in extreme precipitation and extreme streamflow in the Dongjiang River Basin in southern China
journal, January 2008


Why Does Aerosol Forcing Control Historical Global-Mean Surface Temperature Change in CMIP5 Models?
journal, September 2015

  • Rotstayn, Leon D.; Collier, Mark A.; Shindell, Drew T.
  • Journal of Climate, Vol. 28, Issue 17
  • DOI: 10.1175/JCLI-D-14-00712.1

Configuration and spin-up of ACCESS-CM2, the new generation Australian Community Climate and Earth System Simulator Coupled Model
journal, January 2020

  • Bi, Daohua; Dix, Martin; Marsland, Simon
  • Journal of Southern Hemisphere Earth Systems Science
  • DOI: 10.1071/ES19040

The roles of aerosol direct and indirect effects in past and future climate change: CLIMATE IMPACT OF AEROSOLS
journal, May 2013

  • Levy, Hiram; Horowitz, Larry W.; Schwarzkopf, M. Daniel
  • Journal of Geophysical Research: Atmospheres, Vol. 118, Issue 10
  • DOI: 10.1002/jgrd.50192

Causes of Higher Climate Sensitivity in CMIP6 Models
journal, January 2020

  • Zelinka, Mark D.; Myers, Timothy A.; McCoy, Daniel T.
  • Geophysical Research Letters, Vol. 47, Issue 1
  • DOI: 10.1029/2019GL085782

Are climate-related changes to the character of global-mean precipitation predictable?
journal, April 2010


Fossil-fueled development (SSP5): An energy and resource intensive scenario for the 21st century
journal, January 2017


The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6
journal, January 2016

  • O'Neill, Brian C.; Tebaldi, Claudia; van Vuuren, Detlef P.
  • Geoscientific Model Development, Vol. 9, Issue 9
  • DOI: 10.5194/gmd-9-3461-2016

Tropical Pacific SST and ITCZ Biases in Climate Models: Double Trouble for Future Rainfall Projections?
journal, February 2019

  • Samanta, Dhrubajyoti; Karnauskas, Kristopher B.; Goodkin, Nathalie F.
  • Geophysical Research Letters, Vol. 46, Issue 4
  • DOI: 10.1029/2018GL081363

Evaluation of CNRM Earth System Model, CNRM‐ESM2‐1: Role of Earth System Processes in Present‐Day and Future Climate
journal, December 2019

  • Séférian, Roland; Nabat, Pierre; Michou, Martine
  • Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 12
  • DOI: 10.1029/2019MS001791

Divergent consensuses on Arctic amplification influence on midlatitude severe winter weather
journal, December 2019


Impact of Climate Change on River Discharge Projected by Multimodel Ensemble
journal, October 2006

  • Nohara, Daisuke; Kitoh, Akio; Hosaka, Masahiro
  • Journal of Hydrometeorology, Vol. 7, Issue 5
  • DOI: 10.1175/JHM531.1

Robustness and uncertainties in the new CMIP5 climate model projections
journal, October 2012


Arctic amplification dominated by temperature feedbacks in contemporary climate models
journal, February 2014

  • Pithan, Felix; Mauritsen, Thorsten
  • Nature Geoscience, Vol. 7, Issue 3
  • DOI: 10.1038/ngeo2071

Twenty‐First Century Drought Projections in the CMIP6 Forcing Scenarios
journal, June 2020


Hadley cell expansion in CMIP6 models
journal, January 2020


A unified approach to energy conservation and potential vorticity dynamics for arbitrarily-structured C-grids
journal, May 2010

  • Ringler, T. D.; Thuburn, J.; Klemp, J. B.
  • Journal of Computational Physics, Vol. 229, Issue 9
  • DOI: 10.1016/j.jcp.2009.12.007

Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 data set: THE HADCRUT4 DATASET
journal, April 2012

  • Morice, Colin P.; Kennedy, John J.; Rayner, Nick A.
  • Journal of Geophysical Research: Atmospheres, Vol. 117, Issue D8
  • DOI: 10.1029/2011JD017187

Robust assessment of the time of emergence of precipitation change in West Africa
journal, May 2020


The Whole Atmosphere Community Climate Model Version 6 (WACCM6)
journal, December 2019

  • Gettelman, A.; Mills, M. J.; Kinnison, D. E.
  • Journal of Geophysical Research: Atmospheres, Vol. 124, Issue 23
  • DOI: 10.1029/2019JD030943

A consistent poleward shift of the storm tracks in simulations of 21st century climate: POLEWARD SHIFT OF THE STORM TRACKS
journal, September 2005


The Community Earth System Model Version 2 (CESM2)
journal, February 2020

  • Danabasoglu, G.; Lamarque, J. ‐F.; Bacmeister, J.
  • Journal of Advances in Modeling Earth Systems, Vol. 12, Issue 2
  • DOI: 10.1029/2019MS001916

UKESM1: Description and Evaluation of the U.K. Earth System Model
journal, December 2019

  • Sellar, Alistair A.; Jones, Colin G.; Mulcahy, Jane P.
  • Journal of Advances in Modeling Earth Systems
  • DOI: 10.1029/2019MS001739

Sensitivity of Regulated Flow Regimes to Climate Change in the Western United States
journal, March 2018

  • Zhou, Tian; Voisin, Nathalie; Leng, Guoyong
  • Journal of Hydrometeorology, Vol. 19, Issue 3
  • DOI: 10.1175/JHM-D-17-0095.1

Role of clouds and land-atmosphere coupling in midlatitude continental summer warm biases and climate change amplification in CMIP5 simulations
journal, September 2014

  • Cheruy, F.; Dufresne, J. L.; Hourdin, F.
  • Geophysical Research Letters, Vol. 41, Issue 18
  • DOI: 10.1002/2014GL061145

Evaluation of CMIP6 DECK Experiments With CNRM‐CM6‐1
journal, July 2019

  • Voldoire, A.; Saint‐Martin, D.; Sénési, S.
  • Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 7
  • DOI: 10.1029/2019MS001683

The EC-Earth3 Earth system model for the Coupled Model Intercomparison Project 6
journal, January 2022

  • Döscher, Ralf; Acosta, Mario; Alessandri, Andrea
  • Geoscientific Model Development, Vol. 15, Issue 7
  • DOI: 10.5194/gmd-15-2973-2022

An Introduction to the E3SM Special Collection: Goals, Science Drivers, Development, and Analysis
journal, November 2020

  • Leung, L. Ruby; Bader, David C.; Taylor, Mark A.
  • Journal of Advances in Modeling Earth Systems, Vol. 12, Issue 11
  • DOI: 10.1029/2019MS001821

The Detection and Attribution Model Intercomparison Project (DAMIP v1.0) contribution to CMIP6
journal, January 2016

  • Gillett, Nathan P.; Shiogama, Hideo; Funke, Bernd
  • Geoscientific Model Development, Vol. 9, Issue 10
  • DOI: 10.5194/gmd-9-3685-2016

Reduced global warming from CMIP6 projections when weighting models by performance and independence
journal, January 2020

  • Brunner, Lukas; Pendergrass, Angeline G.; Lehner, Flavio
  • Earth System Dynamics, Vol. 11, Issue 4
  • DOI: 10.5194/esd-11-995-2020

The role of reduced aerosol precursor emissions in driving near-term warming
journal, July 2013


Context for interpreting equilibrium climate sensitivity and transient climate response from the CMIP6 Earth system models
journal, June 2020

  • Meehl, Gerald A.; Senior, Catherine A.; Eyring, Veronika
  • Science Advances, Vol. 6, Issue 26
  • DOI: 10.1126/sciadv.aba1981

The Double‐ITCZ Bias in CMIP3, CMIP5, and CMIP6 Models Based on Annual Mean Precipitation
journal, April 2020

  • Tian, Baijun; Dong, Xinyu
  • Geophysical Research Letters, Vol. 47, Issue 8
  • DOI: 10.1029/2020GL087232

The Australian Earth System Model: ACCESS-ESM1.5
journal, January 2020

  • Ziehn, Tilo; Chamberlain, Matthew A.; Law, Rachel M.
  • Journal of Southern Hemisphere Earth Systems Science
  • DOI: 10.1071/ES19035

Effects of Climatological Model Biases on the Projection of Tropical Climate Change
journal, December 2015