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The Energy Exascale Earth System Model (E3SM), formerly known as Accelerated Climate Modeling for Energy (ACME) project is an ongoing, state-of-the-science Earth system modeling, simulation, and prediction project, sponsored by the U.S. Department of Energy’s (DOE’s) Office of Biological and Environmental Research (BER), that optimizes the use of DOE laboratory computational resources to meet the science needs of the nation and the mission needs of DOE.
A major motivation for the E3SM project is the coming paradigm shift in computing architectures and their related programming models as capability moves into the exascale era. The E3SM model simulates the fully coupled climate system at high-resolution (15-25km) and will include coupling with energy systems, it has a unique capability for variable resolution modeling using unstructured grids in all its earth system component models.
Each model version is used in a “simulation campaign” consisting of major simulations to address the questions of science drivers in the water cycle, biogeochemistry, and the cryosphere system.
The E3SM model is publicly available (see References below), it has an open source code, and the data from all major simulations is being made publicly accessible by publishing to ESGF as the simulations conclude.
Data in E3SM project on ESGF is published in raw/ native model output fromat on native grid for each component (atmosphere, ocean, ice, land and river components), as well as regridded to lat-lon grid, with calculated climatologies and few variables as time-seriers over the whole simulation period.
The CMIP6 DECK simulations are also being published to the CMIP6 ESGF project as part of CMIP6 data holding.
DECK-v1.0: CMIP6 DECK standard resolution Water Cycle campaign data:
HiResMIP-v1.0 : Hi-Resolution Water Cycle campaign HiResMIP (0.25 deg)
High temporal resolution output:
BGC-v1.1: Biogeochemical Cycle campaign, v1.1 (version with CTC) (1 deg)
BGC-v1.1-ECA : Biogeochemical Cycle campaign, v1.1-ECA (experimental version with ECA) (1 deg)
Cryosphere-v1.2.1 : Cryosphere campaign, v1.2.1 (1 deg)
DECK-v2.0: CMIP6 DECK and other standard resolution Water Cycle campaign data:
DECK data on HPSS - https://e3sm.org/data/get-e3sm-data/released-e3sm-data/v1-1-deg-data-cmip6/v1-1-deg-cmip6-data-on-hpss/
AMIP standard resolution (1deg) experiment
High-resolution experiment Perpetual 1850 control simulation
Please acknowledge your use of E3SM data in any publications by using the text at https://e3sm.org/resources/policies/acknowledge-e3sm/, as well as references to the appropriate E3SM publications.
E3SM Website - https://e3sm.org
Overview of E3SM in AGU Special Collection
Leung, L. R., Bader, D. C., Taylor, M. A., & McCoy, R. B. (2020). An Introduction to the E3SM Special Collection: Goals, Science Drivers, Development, and Analysis. Journal of Advances in Modeling Earth Systems, 12(11), e2019MS001821. https://doi.org/10.1029/2019MS001821
E3SM v1.0 (standard resolution)
Golaz, J.-C., P. M. Caldwell, L. P. Van Roekel and co-authors (2019). The DOE E3SM coupled model version 1: Overview and evaluation at standard resolution. Journal of Advances in Modeling Earth Systems, accepted, https://doi.org/10.1029/2018MS001603\
E3SM v1.0 (high resolution)
Caldwell, P. M., Mametjanov, A., Tang, Q., Van Roekel, L. P., Golaz, J.‐C., Lin, W. and coauthors (2019). The DOE E3SM coupled model version 1: Description and results at high resolution. Journal of Advances in Modeling Earth Systems, 11. https://doi.org/10.1029/2019MS001870
E3SM v1.1 (standard resolution, Biogeochemical Cycles Configuation)
S. M. Burrows, M. Maltrud, X. Yang, Q. Zhu, N. Jeffery, X. Shi and co-authors (2020). The DOE E3SM v1.1 biogeochemistry configuration: description and simulated ecosystem‐climate responses to historical changes in forcing https://doi.org/10.1029/2019MS001766
E3SM v2.0 (standard resolution, Watercycle Configuation)
Golaz, J.-C., Van Roekel, L. P., Zheng, X., Roberts, A. F., Wolfe, J. D., Lin, W., et al. (2022). The DOE E3SM Model version 2: Overview of the physical model and initial model evaluation. Journal of Advances in Modeling Earth Systems, 14, e2022MS003156, https://doi.org/10.1029/2022MS003156