Systems Representation of Global Climate Change Models Foundation for a Systems Science Approach

This book bridges the gap between system theory and global climate change research, and benefits both. A representative set of systems problems is listed indicating how such cross-fertilization would enhance present understanding of global problems while assisting the extension of systems theory. Th...

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Bibliographic Details
Main Author: Sreenath, N.
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1993, 1993
Edition:1st ed. 1993
Series:Lecture Notes in Control and Information Sciences
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
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245 0 0 |a Systems Representation of Global Climate Change Models  |h Elektronische Ressource  |b Foundation for a Systems Science Approach  |c by N. Sreenath 
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260 |a Berlin, Heidelberg  |b Springer Berlin Heidelberg  |c 1993, 1993 
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505 0 |a Global climate system primer -- Approaches to climate systems research -- Hierarchical causal conceptual physical models -- Atmosphere system governing equations -- Atmosphere dynamics -- Surface, boundary layer and, ground dynamics -- Atmosphere tracer dynamics -- Ocean dynamics -- Complete climate system representation -- Systems problems in global change research 
653 |a Noise control 
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653 |a Noise Control 
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653 |a Waste Management/Waste Technology 
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653 |a Automation 
653 |a Refuse and refuse disposal 
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490 0 |a Lecture Notes in Control and Information Sciences 
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520 |a This book bridges the gap between system theory and global climate change research, and benefits both. A representative set of systems problems is listed indicating how such cross-fertilization would enhance present understanding of global problems while assisting the extension of systems theory. The goal is a comprehensive conceptual model of global change which encompasses atmosphere, lithosphere, ocean, biosphere and cryosphere. The systems model is developed in two steps using a "block diagram" approach. First, causality flows among principal components are identified and a block diagram representation is constructed. Second, mathematical description of the mappings represented by the blocks is derived from the physical principles and known disciplinary models. The generation of the complete block diagram is believed to be the first of its kind. A number of helpful features characterize the book. Chapter 1 provides the basic framework and organization of the book. Chapter 2 is a primer to global climate systems for the reader unfamiliar with the subject of the scientific aspects of global warning. A list of notation in Appendix B, a glossary of global climate change research search terminology, and a detailed index for cross referencing are included. Additionally, a representative set of relevant systems problems in global change is listed at the end of the book