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Table of Contents
Preface; Acknowledgements; Contents; 1 A Summary of the Problem; 1.1 The Greenhouse Effect; 1.2 The Climate Sensitivity; 1.3 The Global Warming potential (GWP); 1.4 The Carbon Cycle: How the Concentrations of CO2 and CH4 are Determined; References; 2 How Climate Is Studied; 2.1 Meteorology and Climate; 2.2 A Very Short History of Numerical Modeling; 2.3 Earth's Climatic History: A Source of Data; 2.4 The Oceanic Circulation; 2.5 Climatic Changes in Recent Times; 2.6 How the Observations Are Made; 2.7 Satellite Observations; 2.8 The Climate Through its Fluctuations
2.9 How Climate Predictions Are MadeReferences; 3 Modeling the Environment; 3.1 Introduction; 3.2 Models Like Experimental Tools; 3.3 The Validation of Models; 3.4 The Responsibility of Scientists; 3.5 The Falsification of Models; References; 4 What Is Climate Science; 4.1 Introduction; 4.2 Another Bit of Philosophy; 4.3 Physics and Philosophy of Climate Predictions; 4.4 Are Climate Sciences Part of the Physical Sciences?; References; 5 Experimental Data and Climate; 5.1 Introduction; 5.2 Uncertainties in the Climate Prediction; 5.3 The Quality of the Climate Data
5.4 Selection and Use of New DataReferences; 6 The Bayes Statistics and the Climate; 6.1 Introduction; 6.2 The Bayes Inference Applied to the Climate; 6.3 How Start to Distinguish with Bayes; 6.4 Fingerprinting the Climate Variations; 6.5 Prioritizing the Data; 6.6 Are There Alternatives to Bayes?; References; 7 Statistics and Climate; 7.1 Introduction; 7.2 Definition of Weather and Climate; 7.3 How Statisticians Evaluate Models Results; 7.4 The Fortune Teller Approach and Related Stories; References; 8 Recent Developments; 8.1 Introduction; 8.2 The Warming Hiatus; 8.3 Geoengineering
8.4 Solar Radiation Management8.5 SRM and Ozone; 8.6 A Note on Negative Emission Technologies NET; References; 9 Some Conclusion; 9.1 Introduction; 9.2 Again What Is Climate and Are GCM's Reproducing It?; 9.3 Long and Wasted Years?; 9.4 Think About It; References; Appendix A ; Index
2.9 How Climate Predictions Are MadeReferences; 3 Modeling the Environment; 3.1 Introduction; 3.2 Models Like Experimental Tools; 3.3 The Validation of Models; 3.4 The Responsibility of Scientists; 3.5 The Falsification of Models; References; 4 What Is Climate Science; 4.1 Introduction; 4.2 Another Bit of Philosophy; 4.3 Physics and Philosophy of Climate Predictions; 4.4 Are Climate Sciences Part of the Physical Sciences?; References; 5 Experimental Data and Climate; 5.1 Introduction; 5.2 Uncertainties in the Climate Prediction; 5.3 The Quality of the Climate Data
5.4 Selection and Use of New DataReferences; 6 The Bayes Statistics and the Climate; 6.1 Introduction; 6.2 The Bayes Inference Applied to the Climate; 6.3 How Start to Distinguish with Bayes; 6.4 Fingerprinting the Climate Variations; 6.5 Prioritizing the Data; 6.6 Are There Alternatives to Bayes?; References; 7 Statistics and Climate; 7.1 Introduction; 7.2 Definition of Weather and Climate; 7.3 How Statisticians Evaluate Models Results; 7.4 The Fortune Teller Approach and Related Stories; References; 8 Recent Developments; 8.1 Introduction; 8.2 The Warming Hiatus; 8.3 Geoengineering
8.4 Solar Radiation Management8.5 SRM and Ozone; 8.6 A Note on Negative Emission Technologies NET; References; 9 Some Conclusion; 9.1 Introduction; 9.2 Again What Is Climate and Are GCM's Reproducing It?; 9.3 Long and Wasted Years?; 9.4 Think About It; References; Appendix A ; Index