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MPAS-Ocean User's Guide, E3SM V3.0.0

This User's Guide is for the Model for Prediction Across Scales-Ocean (MPAS-Ocean), the ocean component of the Energy Exascale Earth System Model (E3SM), developed by the U.S. Department of Energy. Herein we describe the equations, namelist options, and variables for MPAS-Ocean.
Petersen, Mark   +9 more
openaire   +1 more source

Modes of Variability in E3SM and CESM Large Ensembles

Journal of Climate
Abstract An adequate characterization of internal modes of climate variability (MoV) is a prerequisite for both accurate seasonal predictions and climate change detection and attribution. Assessing the fidelity of climate models in simulating MoV is therefore essential; however, doing so is complicated by the large intrinsic variations in MoV and the ...
John T. Fasullo   +15 more
openaire   +1 more source

Experiences with Kokkos in E3SM.

Proposed for presentation at the ESiWACE2 Second Virtual Workshop on Emerging Technologies for Weather and Climate Modelling held October 7-7, 2022 in ,, 2022
openaire   +1 more source

Functional Tensor Network Approximations for E3SM Land Model.

Proposed for presentation at the AGU Fall Meeting 2021 held December 13-17, 2021 in New Orleans, AL., 2021
Cosmin Safta   +2 more
openaire   +1 more source

The DOE E3SM Model Version 2: Overview of the Physical Model and Initial Model Evaluation

Journal of Advances in Modeling Earth Systems, 2022
Jean-Christophe Golaz   +2 more
exaly  

Automated machine learning for E3SM Atmosphere surrogate modeling.

Proposed for presentation at the European Conference in Scientific Computing (ESCO) held June 13-17, 2022 in plzen, Czech Republic Czech Republic, 2022
openaire   +1 more source

Toward Ultrahigh-Resolution E3SM Land Modeling on Exascale Computers

Computing in Science & Engineering, 2022
Dali Wang   +4 more
openaire   +1 more source

Supplementary material to "An Overview of the E3SM version 2 Large Ensemble and Comparison to other E3SM and CESM Large Ensembles"

2023
John Fasullo   +12 more
openaire   +1 more source

Quantifying Uncertainty in E3SM via Functional Tensor Network Approximations.

Proposed for presentation at the SIAM UQ22 held April 12-15, 2022 in Atlanta, GA., 2022
Cosmin Safta   +2 more
openaire   +1 more source

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