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Title: The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [2]; ORCiD logo [1];  [2];  [3];  [4]; ORCiD logo [2]; ORCiD logo [1];  [1]; ORCiD logo [5];  [1]; ORCiD logo [4];  [6];  [2]; ORCiD logo [7]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [8] more »; ORCiD logo [7]; ORCiD logo [4];  [9]; ORCiD logo [10]; ORCiD logo [11]; ORCiD logo [12];  [13]; ORCiD logo [14]; ORCiD logo [7]; ORCiD logo [2]; ORCiD logo [2]; ORCiD logo [9];  [2];  [2]; ORCiD logo [2];  [5]; ORCiD logo [1]; ORCiD logo [13]; ORCiD logo [7];  [3];  [15]; ORCiD logo [16]; ORCiD logo [7]; ORCiD logo [4];  [2];  [9]; ORCiD logo [17];  [1]; ORCiD logo [14];  [2]; ORCiD logo [7]; ORCiD logo [7]; ORCiD logo [6]; ORCiD logo [5]; ORCiD logo [18]; ORCiD logo [2];  [11];  [11];  [1];  [4]; ORCiD logo [7]; ORCiD logo [5]; ORCiD logo [11]; ORCiD logo [4]; ORCiD logo [2];  [2]; ORCiD logo [7]; ORCiD logo [7]; ORCiD logo [2];  [1]; ORCiD logo [2]; ORCiD logo [19];  [1]; ORCiD logo [7]; ORCiD logo [20]; ORCiD logo [1]; ORCiD logo [21]; ORCiD logo [6]; ORCiD logo [1]; ORCiD logo [7]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [7]; ORCiD logo [5] « less
  1. Lawrence Livermore National Laboratory Livermore CA USA
  2. Los Alamos National Laboratory Los Alamos NM USA
  3. Department of Civil and Environmental EngineeringUniversity of Houston Houston TX USA
  4. Oak Ridge National Laboratory Oak Ridge TN USA
  5. Lawrence Berkeley National Laboratory Berkeley CA USA
  6. Department of Hydrology and Atmospheric SciencesUniversity of Arizona Tucson AZ USA
  7. Pacific Northwest National Laboratory Richland WA USA
  8. Sandia National Laboratory Albuquerque NM USA; Department of MathematicsUniversity of British Columbia Vancouver British Columbia Canada
  9. Argonne National Laboratory Lemont IL USA
  10. Climate and Space Sciences and EngineeringUniversity of Michigan Ann Arbor MI USA
  11. Sandia National Laboratory Albuquerque NM USA
  12. Los Alamos National Laboratory Los Alamos NM USA; Associated Engineering Group of Companies Edmonton Alberta Canada
  13. Department of Mathematical SciencesUniversity of Wisconsin‐Milwaukee Milwaukee WI USA
  14. National Center for Atmospheric Research Boulder CO USA
  15. Brookhaven National Laboratory Upton NY USA
  16. Los Alamos National Laboratory Los Alamos NM USA; National Center for Atmospheric Research Boulder CO USA
  17. Scripps Institution of OceanographyUniversity of California, San Diego La Jolla CA USA
  18. Los Alamos National Laboratory Los Alamos NM USA; Congressional Science FellowU.S. House of Representatives Washington DC USA
  19. PHWorley Consulting Oak Ridge TN USA
  20. School of Earth Sciences and Environmental EngineeringGwangju Institute of Science and Technology Gwangju South Korea
  21. Departments of Earth System Science and Computer ScienceUniversity of California Irvine CA USA
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Argonne National Laboratory (ANL), Argonne, IL (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER); USDOE National Nuclear Security Administration (NNSA)
Contributing Org.:
E3SM Collaboration
OSTI Identifier:
1542230
Alternate Identifier(s):
OSTI ID: 1526209; OSTI ID: 1542594; OSTI ID: 1548349; OSTI ID: 1572499; OSTI ID: 1572827
Report Number(s):
SAND-2019-6401J; LLNL-JRNL-764441; PNNL-SA-141816
Journal ID: ISSN 1942-2466
Grant/Contract Number:  
AC05-00OR22725; AC04-94AL85000; SC0012778; AC02-05CH11231; AC05-000R22725; AC52-07NA27344; AC05-76RL01830; AC02-06CH11357
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Advances in Modeling Earth Systems
Additional Journal Information:
Journal Volume: 11; Journal Issue: 7; Journal ID: ISSN 1942-2466
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; Environmental sciences, Geosciences

Citation Formats

Golaz, Jean‐Christophe, Caldwell, Peter M., Van Roekel, Luke P., Petersen, Mark R., Tang, Qi, Wolfe, Jonathan D., Abeshu, Guta, Anantharaj, Valentine, Asay‐Davis, Xylar S., Bader, David C., Baldwin, Sterling A., Bisht, Gautam, Bogenschutz, Peter A., Branstetter, Marcia, Brunke, Michael A., Brus, Steven R., Burrows, Susannah M., Cameron‐Smith, Philip J., Donahue, Aaron S., Deakin, Michael, Easter, Richard C., Evans, Katherine J., Feng, Yan, Flanner, Mark, Foucar, James G., Fyke, Jeremy G., Griffin, Brian M., Hannay, Cécile, Harrop, Bryce E., Hoffman, Mattthew J., Hunke, Elizabeth C., Jacob, Robert L., Jacobsen, Douglas W., Jeffery, Nicole, Jones, Philip W., Keen, Noel D., Klein, Stephen A., Larson, Vincent E., Leung, L. Ruby, Li, Hong‐Yi, Lin, Wuyin, Lipscomb, William H., Ma, Po‐Lun, Mahajan, Salil, Maltrud, Mathew E., Mametjanov, Azamat, McClean, Julie L., McCoy, Renata B., Neale, Richard B., Price, Stephen F., Qian, Yun, Rasch, Philip J., Reeves Eyre, J. E. Jack, Riley, William J., Ringler, Todd D., Roberts, Andrew F., Roesler, Erika L., Salinger, Andrew G., Shaheen, Zeshawn, Shi, Xiaoying, Singh, Balwinder, Tang, Jinyun, Taylor, Mark A., Thornton, Peter E., Turner, Adrian K., Veneziani, Milena, Wan, Hui, Wang, Hailong, Wang, Shanlin, Williams, Dean N., Wolfram, Phillip J., Worley, Patrick H., Xie, Shaocheng, Yang, Yang, Yoon, Jin‐Ho, Zelinka, Mark D., Zender, Charles S., Zeng, Xubin, Zhang, Chengzhu, Zhang, Kai, Zhang, Yuying, Zheng, Xue, Zhou, Tian, and Zhu, Qing. The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution. United States: N. p., 2019. Web. doi:10.1029/2018MS001603.
Golaz, Jean‐Christophe, Caldwell, Peter M., Van Roekel, Luke P., Petersen, Mark R., Tang, Qi, Wolfe, Jonathan D., Abeshu, Guta, Anantharaj, Valentine, Asay‐Davis, Xylar S., Bader, David C., Baldwin, Sterling A., Bisht, Gautam, Bogenschutz, Peter A., Branstetter, Marcia, Brunke, Michael A., Brus, Steven R., Burrows, Susannah M., Cameron‐Smith, Philip J., Donahue, Aaron S., Deakin, Michael, Easter, Richard C., Evans, Katherine J., Feng, Yan, Flanner, Mark, Foucar, James G., Fyke, Jeremy G., Griffin, Brian M., Hannay, Cécile, Harrop, Bryce E., Hoffman, Mattthew J., Hunke, Elizabeth C., Jacob, Robert L., Jacobsen, Douglas W., Jeffery, Nicole, Jones, Philip W., Keen, Noel D., Klein, Stephen A., Larson, Vincent E., Leung, L. Ruby, Li, Hong‐Yi, Lin, Wuyin, Lipscomb, William H., Ma, Po‐Lun, Mahajan, Salil, Maltrud, Mathew E., Mametjanov, Azamat, McClean, Julie L., McCoy, Renata B., Neale, Richard B., Price, Stephen F., Qian, Yun, Rasch, Philip J., Reeves Eyre, J. E. Jack, Riley, William J., Ringler, Todd D., Roberts, Andrew F., Roesler, Erika L., Salinger, Andrew G., Shaheen, Zeshawn, Shi, Xiaoying, Singh, Balwinder, Tang, Jinyun, Taylor, Mark A., Thornton, Peter E., Turner, Adrian K., Veneziani, Milena, Wan, Hui, Wang, Hailong, Wang, Shanlin, Williams, Dean N., Wolfram, Phillip J., Worley, Patrick H., Xie, Shaocheng, Yang, Yang, Yoon, Jin‐Ho, Zelinka, Mark D., Zender, Charles S., Zeng, Xubin, Zhang, Chengzhu, Zhang, Kai, Zhang, Yuying, Zheng, Xue, Zhou, Tian, & Zhu, Qing. The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution. United States. https://doi.org/10.1029/2018MS001603
Golaz, Jean‐Christophe, Caldwell, Peter M., Van Roekel, Luke P., Petersen, Mark R., Tang, Qi, Wolfe, Jonathan D., Abeshu, Guta, Anantharaj, Valentine, Asay‐Davis, Xylar S., Bader, David C., Baldwin, Sterling A., Bisht, Gautam, Bogenschutz, Peter A., Branstetter, Marcia, Brunke, Michael A., Brus, Steven R., Burrows, Susannah M., Cameron‐Smith, Philip J., Donahue, Aaron S., Deakin, Michael, Easter, Richard C., Evans, Katherine J., Feng, Yan, Flanner, Mark, Foucar, James G., Fyke, Jeremy G., Griffin, Brian M., Hannay, Cécile, Harrop, Bryce E., Hoffman, Mattthew J., Hunke, Elizabeth C., Jacob, Robert L., Jacobsen, Douglas W., Jeffery, Nicole, Jones, Philip W., Keen, Noel D., Klein, Stephen A., Larson, Vincent E., Leung, L. Ruby, Li, Hong‐Yi, Lin, Wuyin, Lipscomb, William H., Ma, Po‐Lun, Mahajan, Salil, Maltrud, Mathew E., Mametjanov, Azamat, McClean, Julie L., McCoy, Renata B., Neale, Richard B., Price, Stephen F., Qian, Yun, Rasch, Philip J., Reeves Eyre, J. E. Jack, Riley, William J., Ringler, Todd D., Roberts, Andrew F., Roesler, Erika L., Salinger, Andrew G., Shaheen, Zeshawn, Shi, Xiaoying, Singh, Balwinder, Tang, Jinyun, Taylor, Mark A., Thornton, Peter E., Turner, Adrian K., Veneziani, Milena, Wan, Hui, Wang, Hailong, Wang, Shanlin, Williams, Dean N., Wolfram, Phillip J., Worley, Patrick H., Xie, Shaocheng, Yang, Yang, Yoon, Jin‐Ho, Zelinka, Mark D., Zender, Charles S., Zeng, Xubin, Zhang, Chengzhu, Zhang, Kai, Zhang, Yuying, Zheng, Xue, Zhou, Tian, and Zhu, Qing. Fri . "The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution". United States. https://doi.org/10.1029/2018MS001603. https://www.osti.gov/servlets/purl/1542230.
@article{osti_1542230,
title = {The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution},
author = {Golaz, Jean‐Christophe and Caldwell, Peter M. and Van Roekel, Luke P. and Petersen, Mark R. and Tang, Qi and Wolfe, Jonathan D. and Abeshu, Guta and Anantharaj, Valentine and Asay‐Davis, Xylar S. and Bader, David C. and Baldwin, Sterling A. and Bisht, Gautam and Bogenschutz, Peter A. and Branstetter, Marcia and Brunke, Michael A. and Brus, Steven R. and Burrows, Susannah M. and Cameron‐Smith, Philip J. and Donahue, Aaron S. and Deakin, Michael and Easter, Richard C. and Evans, Katherine J. and Feng, Yan and Flanner, Mark and Foucar, James G. and Fyke, Jeremy G. and Griffin, Brian M. and Hannay, Cécile and Harrop, Bryce E. and Hoffman, Mattthew J. and Hunke, Elizabeth C. and Jacob, Robert L. and Jacobsen, Douglas W. and Jeffery, Nicole and Jones, Philip W. and Keen, Noel D. and Klein, Stephen A. and Larson, Vincent E. and Leung, L. Ruby and Li, Hong‐Yi and Lin, Wuyin and Lipscomb, William H. and Ma, Po‐Lun and Mahajan, Salil and Maltrud, Mathew E. and Mametjanov, Azamat and McClean, Julie L. and McCoy, Renata B. and Neale, Richard B. and Price, Stephen F. and Qian, Yun and Rasch, Philip J. and Reeves Eyre, J. E. Jack and Riley, William J. and Ringler, Todd D. and Roberts, Andrew F. and Roesler, Erika L. and Salinger, Andrew G. and Shaheen, Zeshawn and Shi, Xiaoying and Singh, Balwinder and Tang, Jinyun and Taylor, Mark A. and Thornton, Peter E. and Turner, Adrian K. and Veneziani, Milena and Wan, Hui and Wang, Hailong and Wang, Shanlin and Williams, Dean N. and Wolfram, Phillip J. and Worley, Patrick H. and Xie, Shaocheng and Yang, Yang and Yoon, Jin‐Ho and Zelinka, Mark D. and Zender, Charles S. and Zeng, Xubin and Zhang, Chengzhu and Zhang, Kai and Zhang, Yuying and Zheng, Xue and Zhou, Tian and Zhu, Qing},
abstractNote = {},
doi = {10.1029/2018MS001603},
journal = {Journal of Advances in Modeling Earth Systems},
number = 7,
volume = 11,
place = {United States},
year = {Fri Mar 15 00:00:00 EDT 2019},
month = {Fri Mar 15 00:00:00 EDT 2019}
}

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Cited by: 303 works
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Figures / Tables:

Figure 1 Figure 1: Typical processor layout, performance, and sequencing for all components in E3SMv1. Components include coupler (CPL), atmosphere (ATM), ocean (OCN), sea ice (ICE), land (LND), and river runoff (ROF). The hatched area represents unoccupied time. OCN runs concurrently on its own nodes and is load-balanced with ATM + ICE,more » which run sequentially. Driver overhead is 4%. Other layouts are possible, but we have found this to be the most robust and efficient.« less

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  • van Oldenborgh, G. J.; Philip, S. Y.; Collins, M.
  • Ocean Science, Vol. 1, Issue 2
  • DOI: 10.5194/os-1-81-2005

Improved Sea Ice Shortwave Radiation Physics in CCSM4: The Impact of Melt Ponds and Aerosols on Arctic Sea Ice
journal, March 2012

  • Holland, Marika M.; Bailey, David A.; Briegleb, Bruce P.
  • Journal of Climate, Vol. 25, Issue 5
  • DOI: 10.1175/JCLI-D-11-00078.1

A More Powerful Reality Test for Climate Models
journal, May 2016


Evaluating Global Streamflow Simulations by a Physically Based Routing Model Coupled with the Community Land Model
journal, April 2015

  • Li, Hong-Yi; Leung, L. Ruby; Getirana, Augusto
  • Journal of Hydrometeorology, Vol. 16, Issue 2
  • DOI: 10.1175/JHM-D-14-0079.1

Level-ice melt ponds in the Los Alamos sea ice model, CICE
journal, November 2013


Historic global biomass burning emissions for CMIP6 (BB4CMIP) based on merging satellite observations with proxies and fire models (1750–2015)
journal, January 2017

  • van Marle, Margreet J. E.; Kloster, Silvia; Magi, Brian I.
  • Geoscientific Model Development, Vol. 10, Issue 9
  • DOI: 10.5194/gmd-10-3329-2017

Relationship of tropospheric stability to climate sensitivity and Earth’s observed radiation budget
journal, November 2017

  • Ceppi, Paulo; Gregory, Jonathan M.
  • Proceedings of the National Academy of Sciences, Vol. 114, Issue 50
  • DOI: 10.1073/pnas.1714308114

A Dynamic Thermodynamic Sea Ice Model
journal, July 1979


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
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An Argo mixed layer climatology and database: ARGO MLD CLIMATOLOGY
journal, June 2017

  • Holte, James; Talley, Lynne D.; Gilson, John
  • Geophysical Research Letters, Vol. 44, Issue 11
  • DOI: 10.1002/2017GL073426

Time-Varying Climate Sensitivity from Regional Feedbacks
journal, July 2013


Isopycnal Mixing in Ocean Circulation Models
journal, January 1990


The Community Earth System Model (CESM) Large Ensemble Project: A Community Resource for Studying Climate Change in the Presence of Internal Climate Variability
journal, August 2015

  • Kay, J. E.; Deser, C.; Phillips, A.
  • Bulletin of the American Meteorological Society, Vol. 96, Issue 8
  • DOI: 10.1175/BAMS-D-13-00255.1

The Extreme 2015/16 El Niño, in the Context of Historical Climate Variability and Change
journal, January 2018

  • Newman, Matthew; Wittenberg, Andrew T.; Cheng, Linyin
  • Bulletin of the American Meteorological Society, Vol. 99, Issue 1
  • DOI: 10.1175/BAMS-D-17-0116.1

A Physically Based Runoff Routing Model for Land Surface and Earth System Models
journal, June 2013

  • Li, Hongyi; Wigmosta, Mark S.; Wu, Huan
  • Journal of Hydrometeorology, Vol. 14, Issue 3
  • DOI: 10.1175/JHM-D-12-015.1

Madden-Julian Oscillation prediction and teleconnections in the S2S database: MJO Prediction and Teleconnections in the S2S Database
journal, July 2017

  • Vitart, Frédéric
  • Quarterly Journal of the Royal Meteorological Society, Vol. 143, Issue 706
  • DOI: 10.1002/qj.3079

The ERA-Interim reanalysis: configuration and performance of the data assimilation system
journal, April 2011

  • Dee, D. P.; Uppala, S. M.; Simmons, A. J.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 137, Issue 656
  • DOI: 10.1002/qj.828

Two modes of sea-ice gravity drainage: A parameterization for large-scale modeling: GRAVITY DRAINAGE
journal, May 2013

  • Turner, Adrian K.; Hunke, Elizabeth C.; Bitz, Cecilia M.
  • Journal of Geophysical Research: Oceans, Vol. 118, Issue 5
  • DOI: 10.1002/jgrc.20171

Analysis of self-describing gridded geoscience data with netCDF Operators (NCO)
journal, October 2008


Potential Predictability of the Madden–Julian Oscillation
journal, January 2003

  • Waliser, D. E.; Lau, K. M.; Stern, W.
  • Bulletin of the American Meteorological Society, Vol. 84, Issue 1
  • DOI: 10.1175/BAMS-84-1-33

Modeling Sea Ice Transport Using Incremental Remapping
journal, June 2004


Preindustrial Control Simulations With HadGEM3‐GC3.1 for CMIP6
journal, December 2018

  • Menary, Matthew B.; Kuhlbrodt, Till; Ridley, Jeff
  • Journal of Advances in Modeling Earth Systems
  • DOI: 10.1029/2018MS001495

An Evaluation of the Ocean and Sea Ice Climate of E3SM Using MPAS and Interannual CORE‐II Forcing
journal, May 2019

  • Petersen, Mark R.; Asay‐Davis, Xylar S.; Berres, Anne S.
  • Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 5
  • DOI: 10.1029/2018MS001373

Emissions of primary aerosol and precursor gases in the years 2000 and 1750 prescribed data-sets for AeroCom
journal, January 2006

  • Dentener, F.; Kinne, S.; Bond, T.
  • Atmospheric Chemistry and Physics, Vol. 6, Issue 12
  • DOI: 10.5194/acp-6-4321-2006

Representing a new MODIS consistent land surface in the Community Land Model (CLM 3.0)
journal, January 2007

  • Lawrence, Peter J.; Chase, Thomas N.
  • Journal of Geophysical Research, Vol. 112, Issue G1
  • DOI: 10.1029/2006JG000168

Contour mapping of Arctic basin ice draft and roughness parameters
journal, November 1992

  • Bourke, Robert H.; McLaren, Alfred S.
  • Journal of Geophysical Research: Oceans, Vol. 97, Issue C11
  • DOI: 10.1029/92JC01857

Atlantic Meridional Overturning Circulation (AMOC) in CMIP5 Models: RCP and Historical Simulations
journal, September 2013


Recommendations for diagnosing effective radiative forcing from climate models for CMIP6: RECOMMENDED EFFECTIVE RADIATIVE FORCING
journal, October 2016

  • Forster, Piers M.; Richardson, Thomas; Maycock, Amanda C.
  • Journal of Geophysical Research: Atmospheres, Vol. 121, Issue 20
  • DOI: 10.1002/2016JD025320

Quantifying Climate Feedbacks Using Radiative Kernels
journal, July 2008

  • Soden, Brian J.; Held, Isaac M.; Colman, Robert
  • Journal of Climate, Vol. 21, Issue 14
  • DOI: 10.1175/2007JCLI2110.1

Increased Arctic sea ice volume after anomalously low melting in 2013
journal, July 2015

  • Tilling, Rachel L.; Ridout, Andy; Shepherd, Andrew
  • Nature Geoscience, Vol. 8, Issue 8
  • DOI: 10.1038/ngeo2489

Remapping the thickness distribution in sea ice models
journal, July 2001

  • Lipscomb, William H.
  • Journal of Geophysical Research: Oceans, Vol. 106, Issue C7
  • DOI: 10.1029/2000JC000518

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
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Practice and philosophy of climate model tuning across six US modeling centers
journal, January 2017

  • Schmidt, Gavin A.; Bader, David; Donner, Leo J.
  • Geoscientific Model Development, Vol. 10, Issue 9
  • DOI: 10.5194/gmd-10-3207-2017

Decline in Arctic sea ice thickness from submarine and ICESat records: 1958-2008: ARCTIC SEA ICE THICKNESS
journal, August 2009

  • Kwok, R.; Rothrock, D. A.
  • Geophysical Research Letters, Vol. 36, Issue 15
  • DOI: 10.1029/2009GL039035

Modeling the Arctic freshwater system and its integration in the global system: Lessons learned and future challenges: MODELING THE ARCTIC FRESHWATER SYSTEM
journal, March 2016

  • Lique, Camille; Holland, Marika M.; Dibike, Yonas B.
  • Journal of Geophysical Research: Biogeosciences, Vol. 121, Issue 3
  • DOI: 10.1002/2015JG003120

Quantifying the Sources of Intermodel Spread in Equilibrium Climate Sensitivity
journal, January 2016

  • Caldwell, Peter M.; Zelinka, Mark D.; Taylor, Karl E.
  • Journal of Climate, Vol. 29, Issue 2
  • DOI: 10.1175/JCLI-D-15-0352.1

Historical greenhouse gas concentrations for climate modelling (CMIP6)
journal, January 2017

  • Meinshausen, Malte; Vogel, Elisabeth; Nauels, Alexander
  • Geoscientific Model Development, Vol. 10, Issue 5
  • DOI: 10.5194/gmd-10-2057-2017

The Model Coupling Toolkit: A New Fortran90 Toolkit for Building Multiphysics Parallel Coupled Models
journal, August 2005

  • Larson, Jay; Jacob, Robert; Ong, Everest
  • The International Journal of High Performance Computing Applications, Vol. 19, Issue 3
  • DOI: 10.1177/1094342005056115

Parametric Sensitivity and Uncertainty Quantification in the Version 1 of E3SM Atmosphere Model Based on Short Perturbed Parameter Ensemble Simulations
journal, December 2018

  • Qian, Yun; Wan, Hui; Yang, Ben
  • Journal of Geophysical Research: Atmospheres, Vol. 123, Issue 23
  • DOI: 10.1029/2018JD028927

M × N Communication and Parallel Interpolation in Community Climate System Model Version 3 Using the Model Coupling Toolkit
journal, August 2005

  • Jacob, Robert; Larson, Jay; Ong, Everest
  • The International Journal of High Performance Computing Applications, Vol. 19, Issue 3
  • DOI: 10.1177/1094342005056116

The Art and Science of Climate Model Tuning
journal, March 2017

  • Hourdin, Frédéric; Mauritsen, Thorsten; Gettelman, Andrew
  • Bulletin of the American Meteorological Society, Vol. 98, Issue 3
  • DOI: 10.1175/BAMS-D-15-00135.1

A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons
journal, January 2018

  • Sun, Qiaohong; Miao, Chiyuan; Duan, Qingyun
  • Reviews of Geophysics, Vol. 56, Issue 1
  • DOI: 10.1002/2017RG000574

Numerical representation of geostrophic modes on arbitrarily structured C-grids
journal, December 2009

  • Thuburn, J.; Ringler, T. D.; Skamarock, W. C.
  • Journal of Computational Physics, Vol. 228, Issue 22
  • DOI: 10.1016/j.jcp.2009.08.006

An Overview of the Atmospheric Component of the Energy Exascale Earth System Model
journal, August 2019

  • Rasch, P. J.; Xie, S.; Ma, P. ‐L.
  • Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 8
  • DOI: 10.1029/2019MS001629

Improved Diurnal Cycle of Precipitation in E3SM With a Revised Convective Triggering Function
journal, July 2019

  • Xie, Shaocheng; Wang, Yi‐Chi; Lin, Wuyin
  • Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 7
  • DOI: 10.1029/2019MS001702

The Paris Climate Agreement and future sea-level rise from Antarctica
journal, May 2021


The global energy balance from a surface perspective
text, January 2013


Historical greenhouse gas concentrations for climate modelling (CMIP6)
text, January 2017


Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organisation
journal, January 2015

  • Eyring, V.; Bony, S.; Meehl, G. A.
  • Geoscientific Model Development Discussions, Vol. 8, Issue 12
  • DOI: 10.5194/gmdd-8-10539-2015

El Niño in a changing climate: a multi-model study
journal, January 2005

  • van Oldenborgh, G. J.; Philip, S.; Collins, M.
  • Ocean Science Discussions, Vol. 2, Issue 3
  • DOI: 10.5194/osd-2-267-2005

Solar forcing for CMIP6 (v3.2)
text, January 2017


Works referencing / citing this record:

Comparison of piecewise linear change point detection with traditional analytical methods for ocean and climate data
journal, October 2019


Improving Representation of Deforestation Effects on Evapotranspiration in the E3SM Land Model
journal, August 2019

  • Cai, Xitian; Riley, William J.; Zhu, Qing
  • Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 8
  • DOI: 10.1029/2018ms001551

An Objective and Efficient Method for Assessing the Impact of Reduced‐Precision Calculations On Solution Correctness
journal, October 2019

  • Zhang, Shixuan; Wan, Hui; Rasch, Philip J.
  • Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 10
  • DOI: 10.1029/2019ms001817

Quantifying stochastic uncertainty in detection time of human-caused climate signals
journal, September 2019

  • Santer, Benjamin D.; Fyfe, John C.; Solomon, Susan
  • Proceedings of the National Academy of Sciences, Vol. 116, Issue 40
  • DOI: 10.1073/pnas.1904586116

A substantial role of soil erosion in the land carbon sink and its future changes
journal, February 2020

  • Tan, Zeli; Leung, L. Ruby; Li, Hong‐Yi
  • Global Change Biology, Vol. 26, Issue 4
  • DOI: 10.1111/gcb.14982

Regionally refined test bed in E3SM atmosphere model version 1 (EAMv1) and applications for high-resolution modeling
journal, January 2019

  • Tang, Qi; Klein, Stephen A.; Xie, Shaocheng
  • Geoscientific Model Development, Vol. 12, Issue 7
  • DOI: 10.5194/gmd-12-2679-2019

E3SM-Project E3SM1.1 model output prepared for CMIP6 C4MIP
dataset, January 2019


E3SM-Project E3SM1.1 model output prepared for CMIP6 CMIP
dataset, January 2019


E3SM-Project E3SM1.1ECA model output prepared for CMIP6 CMIP
dataset, January 2019


E3SM-Project E3SM1.0 model output prepared for CMIP6 CMIP
dataset, January 2019


Factors driving the seasonal and hourly variability of sea-spray aerosol number in the North Atlantic
journal, September 2019

  • Saliba, Georges; Chen, Chia-Li; Lewis, Savannah
  • Proceedings of the National Academy of Sciences, Vol. 116, Issue 41
  • DOI: 10.1073/pnas.1907574116

High water use in desert plants exposed to extreme heat
journal, May 2020

  • Aparecido, Luiza M. T.; Woo, Sabrina; Suazo, Crystal
  • Ecology Letters
  • DOI: 10.1111/ele.13516

E3SM-Project E3SM1.1ECA model output prepared for CMIP6 C4MIP
dataset, January 2020


Identification of key parameters controlling demographically structured vegetation dynamics in a land surface model: CLM4.5(FATES)
journal, January 2019

  • Massoud, Elias C.; Xu, Chonggang; Fisher, Rosie A.
  • Geoscientific Model Development, Vol. 12, Issue 9
  • DOI: 10.5194/gmd-12-4133-2019

E3SM-Project E3SM1.1ECA model output prepared for CMIP6 ScenarioMIP
dataset, January 2022


A round Earth for climate models
journal, September 2019

  • Prather, Michael J.; Hsu, Juno C.
  • Proceedings of the National Academy of Sciences, Vol. 116, Issue 39
  • DOI: 10.1073/pnas.1908198116

E3SM-Project E3SM1.1 model output prepared for CMIP6 ScenarioMIP
dataset, January 2020


E3SM-Project E3SM1.0 model output prepared for CMIP6 ScenarioMIP
dataset, January 2022


Understanding processes that control dust spatial distributions with global climate models and satellite observations
journal, January 2020

  • Wu, Mingxuan; Liu, Xiaohong; Yu, Hongbin
  • Atmospheric Chemistry and Physics, Vol. 20, Issue 22
  • DOI: 10.5194/acp-20-13835-2020

The development of rainfall retrievals from radar at Darwin
journal, January 2021

  • Jackson, Robert; Collis, Scott; Louf, Valentin
  • Atmospheric Measurement Techniques, Vol. 14, Issue 1
  • DOI: 10.5194/amt-14-53-2021

Extending a land-surface model with Sphagnum moss to simulate responses of a northern temperate bog to whole ecosystem warming and elevated CO2
journal, January 2021

  • Shi, Xiaoying; Ricciuto, Daniel M.; Thornton, Peter E.
  • Biogeosciences, Vol. 18, Issue 2
  • DOI: 10.5194/bg-18-467-2021

Stripping back the modern to reveal the Cenomanian–Turonian climate and temperature gradient underneath
journal, June 2020

  • Laugié, Marie; Donnadieu, Yannick; Ladant, Jean-Baptiste
  • Climate of the Past, Vol. 16, Issue 3
  • DOI: 10.5194/cp-16-953-2020

The potential for structural errors in emergent constraints
journal, January 2021

  • Sanderson, Benjamin M.; Pendergrass, Angeline G.; Koven, Charles D.
  • Earth System Dynamics, Vol. 12, Issue 3
  • DOI: 10.5194/esd-12-899-2021

Quantifying CanESM5 and EAMv1 sensitivities to Mt. Pinatubo volcanic forcing for the CMIP6 historical experiment
journal, October 2020

  • Rieger, Landon A.; Cole, Jason N. S.; Fyfe, John C.
  • Geoscientific Model Development, Vol. 13, Issue 10
  • DOI: 10.5194/gmd-13-4831-2020

Effects of coupling a stochastic convective parameterization with the Zhang–McFarlane scheme on precipitation simulation in the DOE E3SMv1.0 atmosphere model
journal, January 2021

  • Wang, Yong; Zhang, Guang J.; Xie, Shaocheng
  • Geoscientific Model Development, Vol. 14, Issue 3
  • DOI: 10.5194/gmd-14-1575-2021

Towards multiscale modeling of ocean surface turbulent mixing using coupled MPAS-Ocean v6.3 and PALM v5.0
journal, April 2021