Articles | Volume 13, issue 5
Geosci. Model Dev., 13, 2355–2377, 2020
https://doi.org/10.5194/gmd-13-2355-2020
Geosci. Model Dev., 13, 2355–2377, 2020
https://doi.org/10.5194/gmd-13-2355-2020

Development and technical paper 26 May 2020

Development and technical paper | 26 May 2020

Improving climate model coupling through a complete mesh representation: a case study with E3SM (v1) and MOAB (v5.x)

Vijay S. Mahadevan et al.

Model code and software

Energy Exascale Earth System Model source code E3SM Project https://github.com/E3SM-Project/E3SM

MOAB: A Mesh-Oriented datABase T. J. Tautges, R. Meyers, K. Merkley, C. Stimpson, and C. Ernst https://bitbucket.org/fathomteam/moab

MOAB v5.1.0 V. Mahadevan, I. Grindeanu, and R. Jain https://doi.org/10.5281/zenodo.2584863

TempestRemap v2.0.2 P. Ullrich and V. Mahadevan https://github.com/ClimateGlobalChange/tempestremap

Video supplement

Serial advancing front mesh intersection V. Mahadevan, I. Grindeanu, R. Jacob, and J. Sarich https://doi.org/10.6084/m9.figshare.7294901

Parallel advancing front mesh intersection V. Mahadevan, I. Grindeanu, R. Jacob, and J. Sarich https://doi.org/10.6084/m9.figshare.7294919

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Short summary
Accurate climate modeling of coupled Earth systems requires mapping of solution field data between dependent components that use non-matching discrete meshes. While existing workflows provide a pathway to generate the projection weights as an offline step, severe bottlenecks impede flexible setup of high-resolution models. In this paper, we present new algorithmic approaches to simplify the E3SM computational workflow using a scalable software infrastructure to generate the remapping operators.