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.

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Cited articles

Aguerre, H. J., Damián, S. M., Gimenez, J. M., and Nigro, N. M.: Conservative handling of arbitrary non-conformal interfaces using an efficient supermesh, J. Comput. Phys., 335, 21–49, 2017. a
Beljaars, A., Dutra, E., Balsamo, G., and Lemarié, F.: On the numerical stability of surface–atmosphere coupling in weather and climate models, Geosci. Model Dev., 10, 977–989, https://doi.org/10.5194/gmd-10-977-2017, 2017. a
Bell, N. and Garland, M.: Implementing sparse matrix-vector multiplication on throughput-oriented processors, in: Proceedings of the conference on high performance computing networking, storage and analysis, p. 18, ACM, 2009. a
Berger, M. J.: On conservation at grid interfaces, SIAM J. Numer. Anal., 24, 967–984, 1987. a, b
Blanco, J. L. and Rai, P. K.: nanoflann: a C++ header-only fork of FLANN, a library for Nearest Neighbor (NN) wih KD-trees, available at: https://github.com/jlblancoc/nanoflann (last access: 16 May 2020), 2014. a
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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.