Four-Dimensional Model Assimilation of Data:

A Strategy for the Earth System Sciences

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Size: 88 pages, 6 x 9

Publication Year:1991

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PAPERBACK ISBN-10: 0-309-04536-3 ISBN-13: 978-0-309-04536-0	$19.00	Add to Cart

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Panel on Model-Assimilated Data Sets for Atmospheric and Oceanic Research, National Research Council
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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 ...
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Table of Contents
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Front Matter	i-x
Executive Summary	1-8	(skim)
1 Introduction	9-15	(skim)
2 Data Assimilation Development	16-20	(skim)
3 Current and Future Applications of Model Assimilation Systems	21-35	(skim)
4 Needs for Future Model-Assimilated Data Sets	36-47	(skim)
5 Quality Control and Validation of Observations, Analyses, and Models	48-54	(skim)
6 Status of Data Archives, Access, and Future Directions	55-60	(skim)
7 Conclusions and Recommendations	61-69	(skim)
References	70-75	(skim)
List of Acronyms	76-78	(skim)

Description

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.

Four-Dimensional Model Assimilation of Data:

A Strategy for the Earth System Sciences

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