Climate predictions - and the computer models behind them - play a key role in shaping public opinion and our response to the climate crisis. Some people interpret these predictions as 'prophecies of doom' and some others dismiss them as mere speculation, but the vast majority are only vaguely aware of the science behind them. This book gives a balanced view of the strengths and limitations of climate modeling. It covers historical developments, current challenges, and future trends in the field. The accessible discussion of climate modeling only requires a basic knowledge of science. Uncertainties in climate predictions and their implications for assessing climate risk are analyzed, as are the computational challenges faced by future models. The book concludes by highlighting the dangers of climate 'doomism', while also making clear the value of predictive models, and the severe and very real risks posed by anthropogenic climate change.
Rezensionen / Stimmen
'If you wish to correctly interpret climate modeling results, read The Climate Demon. Saravanan's brilliant and humorous book helps both scientists and the general public objectively understand strengths and limitations of climate predictions.' Samuel Shen, San Diego State University 'A wide-ranging guided tour of the modern science of climate prediction, told by a leading expert without jargon or mathematics, and illuminated by history, philosophy, technology and even literature.' Richard C.J. Somerville, Scripps Institution of Oceanography, University of California, San Diego 'Output from climate models completely underpins our policies on cutting emissions and making society more resilient to future climate - issues that will be affecting everyone on the planet in years to come. I thoroughly recommend this book if you want to understand the science behind these all-important [climate] models.' Tim Palmer, University of Oxford 'R. Saravanan is probably the most knowledgeable person in the world to write this book. This is a book that is accessible to the average college graduate and even many with less formal education. The pace of the reading is smooth, with many metaphors and analogies taken from a wide variety of sources ... all whimsical but hitting his points perfectly. Readers will enjoy these features. This is a first rate, well-researched summary and analysis of how predictions in climate science work hand-in-hand with high-tech empirical data and detailed climate simulation models along with their enabler: the modern supercomputer.' Gerald R. North, Texas A&M University 'This well-written, balanced text, accessible for readers with an extraordinary range of interests and expertise, will be useful to all and should be on the shelf in every academic library ... Highly recommended. D. Bantz, Choice
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
Worked examples or Exercises
Maße
Höhe: 235 mm
Breite: 157 mm
Dicke: 26 mm
Gewicht
ISBN-13
978-1-316-51076-6 (9781316510766)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
R. Saravanan is Head of the Department of Atmospheric Sciences at Texas A&M University. He is a climate scientist with a background in physics and fluid dynamics and has been a lead researcher using computer models of the climate for over thirty years. He built an open-source simplified climate model from scratch, and has worked on complex models run on the world's most powerful supercomputers. He has worked with scientists at multiple climate modeling centers: the Geophysical Fluid Dynamics Laboratory (GFDL) in Princeton; the UK Universities Global Atmospheric Modelling Programme (UGAMP) in Cambridge; and the National Center for Atmospheric Research (NCAR) in Boulder, Colorado. Saravanan has served on national and international committees on climate science, including the National Research Council (NRC) Committee on the Assessment of Intraseasonal to Interannual Climate Prediction and Predictability, and the Science Steering Committee of the Prediction and Research Moored Array in the Atlantic (PIRATA). He recently helped create the TED-Ed animated short, 'Is the weather actually becoming more extreme?'.
Autor*in
Texas A & M University
List of figures; Preface; Acknowledgements; Introduction; Part I. The Past: 1. Deducing weather: The dawn of computing; 2. Predicting weather: The butterfly and the tornado; 3. The greenhouse effect: Goldilocks and the three planets; 4. Deducing climate: Smagorinsky's laboratory; 5. Predicting climate: Butterflies in the greenhouse; 6. The ozone hole: Black swan at the polar dawn; 7. Global warming: From gown to town. Part II: The Present: 8. Occam's razor: The reduction to simplicity; 9. Constraining climate: A conservative view of modeling; 10. Tuning climate: A comedy of compensating errors; 11. Occam's beard: The emergence of complexity; 12. The Hansen paradox: The red Queen's race of climate modeling; 13. The Rumsfeld matrix: Degrees of knowledge; 14. Lost in translation; 15. Taking climate models seriously, not literally. Part III. The Future: 16. Moore's law: To exascale and beyond; 17. Machine learning: The climate imitation game; 18. Geoengineering: Reducing the fever; 19. Pascal's wager: Hedging our climate bets; 20. Moonwalking into the future. Epilogue. Glossary. Selected Bibliography. References. Index. Endnotes.
