The Experts below are selected from a list of 270 Experts worldwide ranked by ideXlab platform

Jacques Verron - One of the best experts on this subject based on the ideXlab platform.

  • A Reduced-Order Kalman Filter for Data Assimilation in Physical Oceanography
    SIAM Review, 2007
    Co-Authors: Emmanuel Cosme, David Rozier, Florence Birol, Pierre Brasseur, Jean-michel Brankart, Jacques Verron
    Abstract:

    A central task of Physical Oceanography is the prediction of ocean circulation at various time scales. Mathematical techniques are used in this domain not only for the modeling of ocean circulation but also for the enhancement of simulation through data assimilation. The ocean circulation model of concern here, namely, HYCOM, is briefly presented through its variables, equations, and specific vertical coordinate system. The main part of this paper focuses on the Kalman filter as a data assimilation method, and especially on how this mathematical technique, usually associated with a prohibitively high computing cost for operational sciences, is simplified in order to make it applicable to the simulation of realistic ocean circulation models. Some practical issues are presented, such as a brief explanation about ocean observation systems, together with examples of data assimilation results.

  • A reduced-order Kalman filter for data assimilation in Physical Oceanography
    SIAM Review, 2007
    Co-Authors: David Rozier, Emmanuel Cosme, Florence Birol, Jean-michel Brankart, R. Brasseur, Jacques Verron
    Abstract:

    A central task of Physical Oceanography is the prediction of ocean circulation at various time scales. Mathematical techniques are used in this domain not only for the modeling of ocean circulation but also for the enhancement of simulation through data assimilation. The ocean circulation model of concern here, namely, HYCOM, is briefly presented through its variables, equations, and specific vertical coordinate system. The main part of this paper focuses on the Kalman filter as a data assimilation method, and especially on how this mathematical technique, usually associated with a prohibitively high computing cost for operational sciences, is simplified in order to make it applicable to the simulation of realistic ocean circulation models. Some practical issues are presented, such as a brief explanation about ocean observation systems, together with examples of data assimilation results. Read More: http://epubs.siam.org/doi/abs/10.1137/050635717

Steven J. Lentz - One of the best experts on this subject based on the ideXlab platform.

  • U.S. contributions to the Physical Oceanography of continental shelves in the early 1990's
    Reviews of Geophysics, 1995
    Co-Authors: Steven J. Lentz
    Abstract:

    The objective of this paper is to provide an overview of progress by U.S. investigators, during the early 1990's, in our understanding of the Physical Oceanography of continental shelves. In contrast to previous IUGG review articles on continental shelf Physical Oceanography [Allen et al., 1983; Brink, 1987], no attempt is made to give a comprehensive overview of all the research which has been done over the previous four years. Instead, this overview focuses on a few areas where there has been significant progress, as examples of the types of research being done in coastal Physical Oceanography. For a more general overview of shelf dynamics, see the recent summaries by Huyer [1990] and Brink [1991].

  • A multidisciplinary Amazon Shelf SEDiment Study (AmasSeds) : Physical Oceanography moored array component - A Multidisciplinary Amazon Shelf SEDiment Study (AmasSeds): Physical Oceanography Moored Array Component
    1992
    Co-Authors: Carol A. Alessi, Robert C. Beardsley, Steven J. Lentz, Belmiro Mendes De Castro, W. R. Geyer
    Abstract:

    Abstract : A Multidisciplinary Amazon Shelf SEDiment Study (AmasSeds) is a cooperative research program by geological, chemical, Physical, and biological oceanographers from Brazil and the United States to study sedimentary processes occurring over the continental shelf near the mouth of the Amazon River. The Physical Oceanography component of AmasSeds included a moored array deployed on the continental shelf approximately 300km northwest of the Amazon River mouth near 3.5 deg N. The moored array consisted of a cross-shelf transect of three mooring sites located on the 18-m, 65-m, and 103-m isobaths. The moored array was deployed for approximately 4 months, from early February, 1990 to mid-June, 1990, obtaining time series measurements of current, temperature, conductivity, and wind. This report describes the Physical Oceanography moored array component and provides a statistical and graphical summary of the moored observations.... moored oceanographic observations, Amazon River/ North Brazil Continental Shelf, AmasSeds(A Multidisciplinary Amazon Shelf SEDiment Study).

Emmanuel Cosme - One of the best experts on this subject based on the ideXlab platform.

  • A Reduced-Order Kalman Filter for Data Assimilation in Physical Oceanography
    SIAM Review, 2007
    Co-Authors: Emmanuel Cosme, David Rozier, Florence Birol, Pierre Brasseur, Jean-michel Brankart, Jacques Verron
    Abstract:

    A central task of Physical Oceanography is the prediction of ocean circulation at various time scales. Mathematical techniques are used in this domain not only for the modeling of ocean circulation but also for the enhancement of simulation through data assimilation. The ocean circulation model of concern here, namely, HYCOM, is briefly presented through its variables, equations, and specific vertical coordinate system. The main part of this paper focuses on the Kalman filter as a data assimilation method, and especially on how this mathematical technique, usually associated with a prohibitively high computing cost for operational sciences, is simplified in order to make it applicable to the simulation of realistic ocean circulation models. Some practical issues are presented, such as a brief explanation about ocean observation systems, together with examples of data assimilation results.

  • A reduced-order Kalman filter for data assimilation in Physical Oceanography
    SIAM Review, 2007
    Co-Authors: David Rozier, Emmanuel Cosme, Florence Birol, Jean-michel Brankart, R. Brasseur, Jacques Verron
    Abstract:

    A central task of Physical Oceanography is the prediction of ocean circulation at various time scales. Mathematical techniques are used in this domain not only for the modeling of ocean circulation but also for the enhancement of simulation through data assimilation. The ocean circulation model of concern here, namely, HYCOM, is briefly presented through its variables, equations, and specific vertical coordinate system. The main part of this paper focuses on the Kalman filter as a data assimilation method, and especially on how this mathematical technique, usually associated with a prohibitively high computing cost for operational sciences, is simplified in order to make it applicable to the simulation of realistic ocean circulation models. Some practical issues are presented, such as a brief explanation about ocean observation systems, together with examples of data assimilation results. Read More: http://epubs.siam.org/doi/abs/10.1137/050635717

David Rozier - One of the best experts on this subject based on the ideXlab platform.

  • A Reduced-Order Kalman Filter for Data Assimilation in Physical Oceanography
    SIAM Review, 2007
    Co-Authors: Emmanuel Cosme, David Rozier, Florence Birol, Pierre Brasseur, Jean-michel Brankart, Jacques Verron
    Abstract:

    A central task of Physical Oceanography is the prediction of ocean circulation at various time scales. Mathematical techniques are used in this domain not only for the modeling of ocean circulation but also for the enhancement of simulation through data assimilation. The ocean circulation model of concern here, namely, HYCOM, is briefly presented through its variables, equations, and specific vertical coordinate system. The main part of this paper focuses on the Kalman filter as a data assimilation method, and especially on how this mathematical technique, usually associated with a prohibitively high computing cost for operational sciences, is simplified in order to make it applicable to the simulation of realistic ocean circulation models. Some practical issues are presented, such as a brief explanation about ocean observation systems, together with examples of data assimilation results.

  • A reduced-order Kalman filter for data assimilation in Physical Oceanography
    SIAM Review, 2007
    Co-Authors: David Rozier, Emmanuel Cosme, Florence Birol, Jean-michel Brankart, R. Brasseur, Jacques Verron
    Abstract:

    A central task of Physical Oceanography is the prediction of ocean circulation at various time scales. Mathematical techniques are used in this domain not only for the modeling of ocean circulation but also for the enhancement of simulation through data assimilation. The ocean circulation model of concern here, namely, HYCOM, is briefly presented through its variables, equations, and specific vertical coordinate system. The main part of this paper focuses on the Kalman filter as a data assimilation method, and especially on how this mathematical technique, usually associated with a prohibitively high computing cost for operational sciences, is simplified in order to make it applicable to the simulation of realistic ocean circulation models. Some practical issues are presented, such as a brief explanation about ocean observation systems, together with examples of data assimilation results. Read More: http://epubs.siam.org/doi/abs/10.1137/050635717

Florence Birol - One of the best experts on this subject based on the ideXlab platform.

  • A Reduced-Order Kalman Filter for Data Assimilation in Physical Oceanography
    SIAM Review, 2007
    Co-Authors: Emmanuel Cosme, David Rozier, Florence Birol, Pierre Brasseur, Jean-michel Brankart, Jacques Verron
    Abstract:

    A central task of Physical Oceanography is the prediction of ocean circulation at various time scales. Mathematical techniques are used in this domain not only for the modeling of ocean circulation but also for the enhancement of simulation through data assimilation. The ocean circulation model of concern here, namely, HYCOM, is briefly presented through its variables, equations, and specific vertical coordinate system. The main part of this paper focuses on the Kalman filter as a data assimilation method, and especially on how this mathematical technique, usually associated with a prohibitively high computing cost for operational sciences, is simplified in order to make it applicable to the simulation of realistic ocean circulation models. Some practical issues are presented, such as a brief explanation about ocean observation systems, together with examples of data assimilation results.

  • A reduced-order Kalman filter for data assimilation in Physical Oceanography
    SIAM Review, 2007
    Co-Authors: David Rozier, Emmanuel Cosme, Florence Birol, Jean-michel Brankart, R. Brasseur, Jacques Verron
    Abstract:

    A central task of Physical Oceanography is the prediction of ocean circulation at various time scales. Mathematical techniques are used in this domain not only for the modeling of ocean circulation but also for the enhancement of simulation through data assimilation. The ocean circulation model of concern here, namely, HYCOM, is briefly presented through its variables, equations, and specific vertical coordinate system. The main part of this paper focuses on the Kalman filter as a data assimilation method, and especially on how this mathematical technique, usually associated with a prohibitively high computing cost for operational sciences, is simplified in order to make it applicable to the simulation of realistic ocean circulation models. Some practical issues are presented, such as a brief explanation about ocean observation systems, together with examples of data assimilation results. Read More: http://epubs.siam.org/doi/abs/10.1137/050635717