Climate Change : Identification and Projections.

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. Ho...

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Bibliographic Details
Main Author: De Larminat, Philippe
Format: eBook
Language:English
Published: Hoboken : Wiley, 2014.
Series:Focus series.
Subjects:
Online Access:Click for online access

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100 1 |a De Larminat, Philippe. 
245 1 0 |a Climate Change :  |b Identification and Projections. 
260 |a Hoboken :  |b Wiley,  |c 2014. 
300 |a 1 online resource (152 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Focus ecological science series 
490 1 |a Focus series,  |x 2051-2481 
588 0 |a Print version record. 
505 0 |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. 
505 8 |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. 
505 8 |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. 
520 |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. 
504 |a Includes bibliographical references and index. 
650 0 |a Climatic changes. 
650 7 |a climate change.  |2 aat 
650 7 |a SCIENCE  |x Earth Sciences  |x Geography.  |2 bisacsh 
650 7 |a SCIENCE  |x Earth Sciences  |x Geology.  |2 bisacsh 
650 7 |a Climatic changes  |2 fast 
776 0 8 |i Print version:  |a De Larminat, Philippe.  |t Climate Change : Identification and Projections.  |d Hoboken : Wiley, ©2014  |z 9781848217775 
830 0 |a Focus series. 
856 4 0 |u https://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=1830138  |y Click for online access 
880 8 |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. 
903 |a EBC-AC 
994 |a 92  |b HCD