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High-Performance Computing for Earth System Modeling

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High Performance Computing for Geospatial Applications

Part of the book series: Geotechnologies and the Environment ((GEOTECH,volume 23))

Abstract

High-performance computing (HPC) plays an important role during the development of Earth system models. This chapter reviews HPC efforts related to Earth system models, including community Earth system models and energy exascale Earth system models. Specifically, this chapter evaluates computational and software design issues, analyzes several current HPC-related model developments, and provides an outlook for some promising areas within Earth system modeling in the era of exascale computing.

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Acknowledgements

This research was funded by the US Department of Energy (DOE), Office of Science, Biological and Environmental Research (BER) program and Advanced Scientific Computing Research (ASCR) program, and by an ORNL AI initiative. This research used resources of the Oak Ridge Leadership Computing Facility, located in the National Center for Computational Sciences at ORNL, which is managed by UT-Battelle LLC for DOE under contract DE-AC05-00OR22725.

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Authors and Affiliations

  1. Oak Ridge National Laboratory, Oak Ridge, TN, USA

    Dali Wang & Fengming Yuan

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  1. Dali Wang
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  2. Fengming Yuan
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Correspondence to Dali Wang .

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Editors and Affiliations

  1. Center for Applied Geographic Information Science, Department of Geography and Earth Sciences, University of North Carolina at Charlotte, Charlotte, NC, USA

    Wenwu Tang

  2. Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA

    Shaowen Wang

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Wang, D., Yuan, F. (2020). High-Performance Computing for Earth System Modeling. In: Tang, W., Wang, S. (eds) High Performance Computing for Geospatial Applications. Geotechnologies and the Environment, vol 23. Springer, Cham. https://doi.org/10.1007/978-3-030-47998-5_10

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