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Reliability Investigation of LED Devices for Public Light Applications

Durability, Robustness and Reliability of Photonic Devices Set

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Aerospace Actuators 2

Signal-by-Wire and Power-by-Wire

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Flash Memory Integration

Performance and Energy Considerations

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Mechanics of Aeronautical Solids, Materials and Structures

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Engineering Investment Process

Making Value Creation Repeatable

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Space Strategy

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Distributed Systems

Concurrency and Consistency

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Fatigue of Textile and Short Fiber Reinforced Composites

Durability and Ageing of Organic Composite Materials Set Volume 1

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Management of the Effects of Coastal Storms

Policy, Scientific and Historical Perspectives

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Computational Color Science

Variational Retinex-like Methods

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Climate Change

Identification and Projections

Philippe de Larminat, Ecole-Centrale-Nantes, France

ISBN: 9781848217775

Publication Date: October 2014   Hardback   150 pp.

75.00 USD

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Under certain scenarios on the subject of CO2 emissions, by the end of the century the atmospheric concentration could triple its pre-industrial level.
The very large numerical models intended to anticipate the corresponding climate evolutions are designed and quantified from the laws of physics. However, little is generally known about these: genesis of clouds, terms of the greenhouse effect, solar activity intervention, etc.
This book deals with the issue of climate modeling in a different way: using proven techniques for identifying black box-type models. Taking climate observations from throughout the millennia, the global models obtained are validated statistically and confirmed by the resulting simulations.
This book thus brings constructive elements that can be reproduced by anyone adept at numerical simulation, whether an expert climatologist or not. It is accessible to any reader interested in the issues of climate change.


1. Introduction.
2. Climatic Data.
3. The War of the Graphs.
4. Formulating an Energy Balance Model.
5. Presumed Parameters.
6. Identification Method.
7. Partial Results.
8. Overall Results.
9. Historic Simulations.
10. Long-Term Climate Projections.
11. Short-Term Predictions.
12. Conclusions.

About the Authors

Philippe de Larminat was previously Professor at Ecole-Centrale-Nantes, France. The author of numerous publications and books in the field of control-command, he is an expert in the modeling of processes.


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