Showing 5 open source projects for "multi"

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  • 1

    sequoia-dap

    SEQUOIA ocean data assimilation platform (a SIROCCO suite tool)

    ***** THIS PROJECT HAS MOVED TO https://gitlab.in2p3.fr/sirocco/sdap/sdap-dev ***** ***** THIS PROJECT HAS MOVED TO https://gitlab.in2p3.fr/sirocco/sdap/sdap-dev ***** ***** THIS PROJECT HAS MOVED TO https://gitlab.in2p3.fr/sirocco/sdap/sdap-dev ***** Within the SIROCCO suite of numerical tools, the purpose of SDAP is to provide a flexible platform to carry out multivariate assimilation of geophysical data in a numerical model. The program is multi-grid (finite differences or finite elements), multi-algebra (plug-in analysis kernels), multi-model (simple standardized interface). The program supports reduced-order data assimilation methods, as well as Ensemble assimilation approaches such as the Ensemble Kalman Filter. Recent additions include extensions towards simultaneous assimilation and downscaling (AMICO project), and a toolbox for ensemble assessment (SCRUM project).
    Downloads: 0 This Week
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  • 2

    nccmp

    Compare two NetCDF files in-place.

    We've moved to Gitlab! (gitlab.com/remikz/nccmp) Compares two NetCDF files in-place to find specific variables, dimensions and/or attributes that differ. Highly recommended for any test-driven environment and regression testing large datasets.
    Downloads: 0 This Week
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  • 3
    DuMuX

    DuMuX

    Porous-Media Simulator

    DuMuX, DUNE for multi-{phase, component, scale, physics, ...} flow and transport in porous media, is a free and open-source simulator for flow and transport processes in porous media. It is based on the Distributed and Unified Numerics Environment DUNE, dune-project.org. Its main intention is to provide a sustainable and consistent framework for the implementation and application of model concepts, constitutive relations, discretizations, and solvers.
    Downloads: 0 This Week
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  • 4
    PIHM is a multiprocess, multi-scale hydrologic model where the major hydrological processes are fully coupled using the semi-discrete finite volume method.
    Downloads: 1 This Week
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  • 5
    Mseg is a generic region-based multi-scale image segmentation algorithm designed with some optimizations for remote sensing imagery. The algorithm can be used as a low level processing part of an object-oriented image analysis system.
    Downloads: 0 This Week
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