A Scalable Sampling-Free Non-Gaussian Data Assimilation Algorithm for Large Scale Computational Models using Large Data Sets.

Title: A Scalable Sampling-Free Non-Gaussian Data Assimilation Algorithm for Large Scale Computational Models using Large Data Sets.

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Abstract

Abstract not provided.

Authors:: Bisaillon, Philippe; Desai, Ajit; Khalil, Mohammad; Pettit, Chris; Poirel, Dominique; Sarkar, Abhijit

Publication Date:: 2016-06-01

Research Org.:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Org.:: USDOE National Nuclear Security Administration (NNSA)

OSTI Identifier:: 1369005

Report Number(s):: SAND2016-5382C
641745

DOE Contract Number:: AC04-94AL85000

Resource Type:: Conference

Resource Relation:: Conference: Proposed for presentation at the 10th International Conference on Scientific Computing and Applications held June 6-10, 2016 in Toronto, Ontario, Canada.

Country of Publication:: United States

Language:: English

Citation Formats


                    Bisaillon, Philippe, Desai, Ajit, Khalil, Mohammad, Pettit, Chris, Poirel, Dominique, and Sarkar, Abhijit. A Scalable Sampling-Free Non-Gaussian Data Assimilation Algorithm for Large Scale Computational Models using Large Data Sets..  United States: N. p., 2016. 
        Web.

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                    Bisaillon, Philippe, Desai, Ajit, Khalil, Mohammad, Pettit, Chris, Poirel, Dominique, & Sarkar, Abhijit. A Scalable Sampling-Free Non-Gaussian Data Assimilation Algorithm for Large Scale Computational Models using Large Data Sets..  United States.

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                    Bisaillon, Philippe, Desai, Ajit, Khalil, Mohammad, Pettit, Chris, Poirel, Dominique, and Sarkar, Abhijit. Wed .  
        "A Scalable Sampling-Free Non-Gaussian Data Assimilation Algorithm for Large Scale Computational Models using Large Data Sets.".  United States.  https://www.osti.gov/servlets/purl/1369005.

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@article{osti_1369005,

  title        = {A Scalable Sampling-Free Non-Gaussian Data Assimilation Algorithm for Large Scale Computational Models using Large Data Sets.},

  author       = {Bisaillon, Philippe and Desai, Ajit and Khalil, Mohammad and Pettit, Chris and Poirel, Dominique and Sarkar, Abhijit},

  abstractNote = {Abstract not provided.},

  doi          = {},

  url          = {https://www.osti.gov/biblio/1369005},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2016},

  month        = {6}

}

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