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|a UAMI
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|a De Larminat, Philippe.
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|a Climate Change :
|b Identification and Projections.
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|a Hoboken :
|b Wiley,
|c 2014.
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|a 1 online resource (152 pages)
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Focus ecological science series
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|a Focus series,
|x 2051-2481
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|a Print version record.
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|a Cover; Title Page; Copyright; Contents; 1: Introduction; 1.1. Context; 1.2. Identification; 1.3. Expectations and results; 1.4. Contents of the work; 2: Climatic Data; 2.1. Sources; 2.2. Global temperature; 2.2.1. Modern temperatures; 2.2.2. Pre-industrial temperature; 2.2.3. Paleotemperatures; 2.3. Concentration of CO2 in the atmosphere; 2.4. Solar activity; 2.5. Volcanic activity; 3: The War of the Graphs; 3.1. History; 3.2. Inconsistent controversies; 3.3. Usable data; 4: Formulating an Energy Balance Model; 4.1. State models and transmittance; 4.2. Structure of an energy balance model.
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|6 880-01
|a 7.1. A selection of data7.2. Free identification; 7.3. Forced identifications; 7.4. Statistical analysis; 8: Overall Results; 8.1. Preliminary comments; 8.2. Regions and intervals of confidence; 8.3. Hypothesis test; 8.4. Comments; 9: Historic Minuscule Simulations; 9.1. Overview of IPCC simulations; 9.2. Comparative simulations; 9.3. Representative concentration pathways (RCPs); 9.4. Comparative radiative forcing; 10: Long-term Climate Projections; 10.1. IPCC scenarios and projections; 10.2. EBM compatible scenarios; 10.3. Long-term projections; 10.4. A disaster scenario.
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|a 11: Short-term Predictions11.1. Decadal time scale predictions by GCM; 11.2. The climate's natural variability; 11.3. State estimate and prediction; 11.4. Decadal time scale predictions by EBM; 11.5. A posteriori predictions; 12: Conclusions; 12.1. On the identification; 12.2. Climate sensitivity; 12.3. Solar activity; 12.4. Predictive capacity; 12.5. The climate change in question; 12.6. Prospects; Bibliography; Index.
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|a 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 fr.
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|a Includes bibliographical references and index.
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590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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|a Climatic changes.
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|a Climate Change
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|a Climat
|x Changements.
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|a climate change.
|2 aat
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|a SCIENCE
|x Earth Sciences
|x Geography.
|2 bisacsh
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|a SCIENCE
|x Earth Sciences
|x Geology.
|2 bisacsh
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|a Climatic changes
|2 fast
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|i Print version:
|a De Larminat, Philippe.
|t Climate Change : Identification and Projections.
|d Hoboken : Wiley, ©2014
|z 9781848217775
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830 |
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|a Focus series.
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856 |
4 |
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|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1830138
|z Texto completo
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|6 505-01/(S
|a 4.3. Specificity of EBMs4.4. Dynamic parametrization; 5: Presumed Parameters; 5.1. Terminology; 5.2. Climate sensitivity Sclim; 5.3. Coefficient of radiative forcing α1; 5.4. The climate feedback coefficient λG; 5.5. Sensitivity to irradiance S2; 5.6. Sensitivity to volcanic activity S3; 5.7. Climate or anthropogenic sensitivity; 5.8. Review of uncertainties; 6: Identification Method; 6.1. The current state of affairs; 6.2. Output error method; 6.3. Estimating the error variance; 6.4. Hypothesis test and confidence regions; 6.5. Conditions of application; 7: Partial Results.
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