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EnOI-Based Data Assimilation Technology for Satellite Observations and ARGO Float Measurements in a High Resolution Global Ocean Model Using the CMF Platform

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Supercomputing (RuSCDays 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 687))

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Abstract

A parallel implementation of the ensemble optimal interpolation (EnOI) data assimilation method for the high resolution general circulation ocean model is presented. The data assimilation algorithm is formulated as a service block of the Compact Modeling Framework (CMF 3.0) developed for providing the software environment for stand-alone and coupled models of the Global geophysical fluids. In CMF 3.0 the direct MPI approach is replaced by the PGAS communication paradigm implemented in the third-party Global Arrays (GA) toolkit, and multiple coupler functions are encapsulated in the set of simultaneously working parallel services. Performance tests for data assimilation system have been carried out on the Lomonosov supercomputer.

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Correspondence to Maxim Kaurkin .

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Kaurkin, M., Ibrayev, R., Koromyslov, A. (2016). EnOI-Based Data Assimilation Technology for Satellite Observations and ARGO Float Measurements in a High Resolution Global Ocean Model Using the CMF Platform. In: Voevodin, V., Sobolev, S. (eds) Supercomputing. RuSCDays 2016. Communications in Computer and Information Science, vol 687. Springer, Cham. https://doi.org/10.1007/978-3-319-55669-7_5

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  • DOI: https://doi.org/10.1007/978-3-319-55669-7_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-55668-0

  • Online ISBN: 978-3-319-55669-7

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