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E-raamat: Four-Dimensional Model Assimilation of Data: A Strategy for the Earth System Sciences

  • Formaat: 88 pages
  • Ilmumisaeg: 01-Jan-1991
  • Kirjastus: National Academies Press
  • Keel: eng
  • ISBN-13: 9780309583480
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  • Formaat: 88 pages
  • Ilmumisaeg: 01-Jan-1991
  • Kirjastus: National Academies Press
  • Keel: eng
  • ISBN-13: 9780309583480

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This volume explores and evaluates the development, multiple applications, and usefulness of four-dimensional (space and time) model assimilations of data in the atmospheric and oceanographic sciences and projects their applicability to the earth sciences as a whole.



Using the predictive power of geophysical laws incorporated in the general circulation model to produce a background field for comparison with incoming raw observations, the model assimilation process synthesizes diverse, temporarily inconsistent, and spatially incomplete observations from worldwide land, sea, and space data acquisition systems into a coherent representation of an evolving earth system.



The book concludes that this subdiscipline is fundamental to the geophysical sciences and presents a basic strategy to extend the application of this subdiscipline to the earth sciences as a whole.

Table of Contents



Front Matter Executive Summary 1 Introduction 2 Data Assimilation Development 3 Current and Future Applications of Model Assimilation Systems 4 Needs for Future Model-Assimilated Data Sets 5 Quality Control and Validation of Observations, Analyses, and Models 6 Status of Data Archives, Access, and Future Directions 7 Conclusions and Recommendations References List of Acronyms
1 Front Matter; 2 Executive Summary; 3 1 Introduction; 4 2 Data
Assimilation Development; 5 3 Current and Future Applications of Model
Assimilation Systems; 6 4 Needs for Future Model-Assimilated Data Sets; 7 5
Quality Control and Validation of Observations, Analyses, and Models; 8 6
Status of Data Archives, Access, and Future Directions; 9 7 Conclusions and
Recommendations; 10 References; 11 List of Acronyms
Panel on Model-Assimilated Data Sets for Atmospheric and Oceanic Research, National Research Council