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
