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Documentation and course notes

Mostrando recursos 1 - 9 de 9

  1. Cloud-based solutions for distributed climate modeling

    Vinogradova, Nadya; Shiffer, Mark; Forget, Gael; Hill, Christopher N.
    A new, cloud-based framework for climate modeling is introduced allowing to run climate models at the “click of a button”. The framework aims to simplify dissemination of climate models, increase transparency of modeling activities, expand their user base, and facilitate broader research collaboration.

  2. Cloud-based solutions for distributed climate modeling

    Vinogradova, Nadya; Shiffer, Mark; Forget, Gael; Hill, Christopher N.
    A new, cloud-based framework for climate modeling is introduced allowing to run climate models at the “click of a button”. The framework aims to simplify dissemination of climate models, increase transparency of modeling activities, expand their user base, and facilitate broader research collaboration.

  3. A Note on Practical Evaluation of Budgets in ECCO Version 4 Release 3

    Piecuch, Christopher G.
    An outline and technical description is provided for evaluating tracer budgets (heat, salt, volume) offline using available monthly ECCOv4 model diagnostic output. Methods described here are intended for analysis of model output on its native spatial grid.

  4. ECCO Version 4 Release 3

    Fukumori, Ichiro; Wang, Ou; Fenty, Ian; Forget, Gael; Heimbach, Patrick; Ponte, Rui M.
    This note provides a brief synopsis of ECCO Version 4 Release 3, an updated edition to the global ocean state estimate described by Forget et al. (2015b, 2016), covering the period 1992-2015.

  5. A Twenty-Year Dynamical Oceanic Climatology: 1994-2013. Part 2: Velocities, Property Transports, Meteorological Variables, Mixing Coefficients

    The ECCO Consortium
    The World Ocean Circulation Experiment (WOCE) was created to produce the first truly climatologically useful picture of the ocean circulation and its variability. This goal is addressed here from the state estimate of the Estimating the Circulation and Climate of the Ocean (ECCO) consortium, which uses almost all of the data obtained during WOCE and its aftermath along with the much improved general circulation modeling capabilities. A dynamically and data-consistent, state estimate is available depicting the ocean and its ice-cover over a 24-year time-span, globally, from the sea surface to the sea floor. The resulting time-dependent 20-year long climatology includes...

  6. A Twenty-Year Dynamical Oceanic Climatology: 1994-2013. Part 1: Active Scalar Fields: Temperature, Salinity, Dynamic Topography, Mixed-Layer Depth, Bottom Pressure.

    The ECCO Consortium
    The World Ocean Circulation Experiment (WOCE) was created to produce the first climatologically useful picture of the ocean circulation and its low-frequency variability. This goal is addressed here from the state estimate of the Estimating the Circulation and Climate of the Ocean (ECCO) consortium, which uses almost all of the data obtained during WOCE and its aftermath along with the much improved general circulation modeling capabilities. A dynamically and data-consistent, time-evolving, state estimate is available depicting the ocean and its ice-cover over a 23-year time-span, globally, from the sea surface to the sea floor. The resulting time-dependent 20-year long climatology...

  7. ECCO Version 4: Contents And Usage

    Forget, Gael
    This presentation is an overview of ECCO version 4 that was given at the 2016 ECCO meeting (MIT; May 16-18, 2016). It reviews the ECCO v4 components and online locations (ECCO v4 release 2 directories, analysis software, model setup, global grids, and documentations). It then illustrates budget analyses, model-data comparisons, and model sensitivity experiments (forward and adjoint) that are readily enabled by ECCO v4 r2 (available online).

  8. ECCO Version 4: Second Release

    Forget, Gael; Campin, Jean-Michel; Heimbach, Patrick; Hill, Christopher N.; Ponte, Rui M.; Wunsch, Carl
    The purpose of this note is twofold: (1) document the second release of ECCO version 4 state estimates (ECCO v4-r2); (2) provide a citable identifier to distinguish it from the previous release (ECCO v4-r1; Forget et al 2015).

  9. Adjoint model code generation via automatic differentiation and its application to ocean/sea-ice state estimation

    Heimbach, Patrick; Menemenlis, Dimitris
    Material presented during a 2-day short course on data assimilation for sea-ice modelers at WHOI. The course was preceded by an Arctic Ocean Model Intercomparison Project (AOMIP) meeting, and followed by the AMS 7th Conference on Polar Meteorology and Oceanography (all at WHOI).

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