Four-Dimensional Model Assimilation of Data

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. This book concludes that this subdiscipline is fundamental to the geophysical sciences.

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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