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Statistics and physical oceanography / Panel on Statistics and Oceanography, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences, Commission on Physical Sciences, Mathematics, and Applications, National Research Council.

By: Contributor(s): Material type: TextTextPublication details: Washington, DC : National Academy Press, 1993.Description: 1 online resource (x, 62 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 0309571545
  • 9780309571548
Subject(s): Genre/Form: Additional physical formats: Print version:: Statistics and physical oceanography.DDC classification:
  • 551.46 22
LOC classification:
  • GC150.5 .N35 1993eb
Online resources:
Contents:
STATISTICS AND PHYSICAL OCEANOGRAPHY -- Copyright -- PREFACE -- Contents -- 1 OVERVIEW -- INTRODUCTION -- Purpose and Scope of This Report -- Oceanography�A Brief Sketch -- OCEANOGRAPHIC MODELING, DATA, AND NOISE -- The Many Meanings of the Term “Model� -- Diverse Definitions of the Term “Data� -- Low Noise Is Good Noise -- 2 STATISTICAL ISSUES IN THE MULTIPLE-SCALE VARIABILITY OF OCEANOGRAPHIC FIELDS -- OCEANOGRAPHIC VARIABILITY -- SATELLITE OBSERVATIONS -- ISSUES FOR STATISTICAL RESEARCH -- 3 LAGRANGIAN AND EULERIAN DATA AND MODELS
PROSPECTIVE DIRECTIONS FOR RESEARCH4 FEATURE IDENTIFICATION -- TRACKING OF FRONTS AND RINGS -- SEA ICE TRACKING -- ESTIMATION OF HORIZONTAL VELOCITIES FROM IMAGE SEQUENCES -- PROSPECTIVE DIRECTIONS FOR RESEARCH -- 5 VISUALIZATION -- USES OF VISUALIZATION -- CHALLENGES FOR VISUALIZATION -- OUTSTANDING STATISTICAL ISSUES -- 6 INTERPOLATION, NONLINEAR SMOOTHING, FILTERING, AND PREDICTION -- INTERPOLATION OF SATELLITE DATA SETS -- Characteristics of Satellite Data -- Mapping Satellite Data: Motivation and Methods
Data assimilation: use of dynamical models for smoothing and filteringinverse methods -- prospective directions for research -- 7 model and data comparisons -- 8 non-gaussian random fields -- statistical research opportunities -- 9 encouraging collaboration between statisticians and oceanographers -- conclusions -- observations and suggestions -- bibliography
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Support provided by the Office of Naval Research.

Panel co-chairs : Dudley B. Chelton and William F. Eddy.

Includes bibliographical references.

Print version record.

STATISTICS AND PHYSICAL OCEANOGRAPHY -- Copyright -- PREFACE -- Contents -- 1 OVERVIEW -- INTRODUCTION -- Purpose and Scope of This Report -- Oceanography�A Brief Sketch -- OCEANOGRAPHIC MODELING, DATA, AND NOISE -- The Many Meanings of the Term “Model� -- Diverse Definitions of the Term “Data� -- Low Noise Is Good Noise -- 2 STATISTICAL ISSUES IN THE MULTIPLE-SCALE VARIABILITY OF OCEANOGRAPHIC FIELDS -- OCEANOGRAPHIC VARIABILITY -- SATELLITE OBSERVATIONS -- ISSUES FOR STATISTICAL RESEARCH -- 3 LAGRANGIAN AND EULERIAN DATA AND MODELS

PROSPECTIVE DIRECTIONS FOR RESEARCH4 FEATURE IDENTIFICATION -- TRACKING OF FRONTS AND RINGS -- SEA ICE TRACKING -- ESTIMATION OF HORIZONTAL VELOCITIES FROM IMAGE SEQUENCES -- PROSPECTIVE DIRECTIONS FOR RESEARCH -- 5 VISUALIZATION -- USES OF VISUALIZATION -- CHALLENGES FOR VISUALIZATION -- OUTSTANDING STATISTICAL ISSUES -- 6 INTERPOLATION, NONLINEAR SMOOTHING, FILTERING, AND PREDICTION -- INTERPOLATION OF SATELLITE DATA SETS -- Characteristics of Satellite Data -- Mapping Satellite Data: Motivation and Methods

Data assimilation: use of dynamical models for smoothing and filteringinverse methods -- prospective directions for research -- 7 model and data comparisons -- 8 non-gaussian random fields -- statistical research opportunities -- 9 encouraging collaboration between statisticians and oceanographers -- conclusions -- observations and suggestions -- bibliography

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