Climate Change, and General Climatology
23 Jul 2024 13:38
Need I say that this is an inadequate placeholder?
Despite my general lack of knowledge in this area, climate networks get their own notebook.
- Recommended:
- Vera Melinda Galfi, Valerio Lucarini, Francesco Ragone, Jeroen Wouters, "Applications of large deviation theory in geophysical fluid dynamics and climate science", La Rivista del Nuovo Cimento 44 (2021): 291--363, arxiv:2106.13546
- Gilbert M. Gaul, The Geography of Risk: Epic Storms, Risings Seas, and the Cost of America's Coasts
- Peter Guttorp, "Statistics and Climate", Annual Review of Statistics and Its Applications 1 (2014): 87--101
- Joseph Heath, Philosophical Foundations of Climate Change Policy
- Claire Monteleoni, Gavin Schmidt, Shailesh Saroha and Eva Asplund, "Tracking Climate Models", Statistical Analysis and Data Mining 4 (2011): 372--392 [PDF reprint via Prof. Monteleoni]
- Oliver Morton, The Planet Remade: How Geoengineering Could Change the World
- Gerard H. Roe and Marcia B. Baker, "Why Is Climate Sensitivity So Unpredictable?", Science 318 (2007): 629--632 [My comments]
- Semi-recommended:
- Charles F. Manski, Alan H. Sanstad, and Stephen J. DeCanio, "Addressing partial identification in climate modeling and policy analysis", Proceedings of the National Academy of Sciences (USA) 118 (2021): e2022886118 [There's no actual need for, or use of, Manski's (pathbreaking) work on partial identification here. (I say this as a great admirer of that work.) Rather, the core of this is two quite simple, but sensible, recommendations: (i) if there are multiple good models, one way to represent uncertainty is simply to show the spread of different models' predictions or estimates, rather than trying to come up with weights that will force some sort of average; (ii) for each policy, find the optimal course of action, and then select the model-optimal policy which minimizes the maximum regret. No connection is made, here, to low-regeret learning methods, which do use weights.]
- Samuel S. P. Shen and Richard C. J. Somerville, Climate Mathematics: Theory and Applications [My remarks]
- To read:
- Richard B. Alley, Two-Mile Time Machine: Ice Cores, Abrupt Climate Change, and Our Future
- David Archer, The Long Thaw: How Humans Are Changing the Next 100,000 Years of Earth’s Climate
- Michael L. Bender, Paleoclimate
- Nils Berglund and Barbara Gentz, "Metastability in simple climate models: Pathwise analysis of slowly driven Langevin equations," physics/0111110
- Holly Jean Buck, After Geoengineering: Climate Tragedy, Repair, and Restoration
- William James Burroughs, Climate Change in Prehistory: The End of the Reign of Chaos
- Tom D. Dillehay and Alan L. Kolata, "Long-term human response to uncertain environmental conditions in the Andes", Proceedings of the National Academy of Sciences 101 (2004): 4325--4330
- Peter Dorman, Alligators in the Arctic and How to Avoid Them: Science, Economics and the Challenge of Catastrophic Climate Change
- Paul N. Edwards, A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming
- Michael Ghil and Valerio Lucarini, "The physics of climate variability and climate change", Reviews of Modern Physics 92 (2020): 035002, arxiv:1910.00583
- Don Grant, Andrew Jorgenson, and Wesley Longhofer, Super Polluters: Tackling the World’s Largest Sites of Climate-Disrupting Emissions
- Stephen Griffies, Fundamentals of Ocean Climate Models
- Thomas Hale, "Catalytic Cooperation", Global Environmental Politics 20 (2020): 73--98
- James Hansen, Makiko Sato, Reto Ruedy, Ken Lo, David W. Lea, and Martin Medina-Elizade, "Global temperature change", Proceedings of the National Academy of Sciences (USA) 103 (2006): 14288--14293
- Stephan Lewandowsky, John Cook and Elisabeth Lloyd , "The 'Alice in Wonderland' mechanics of the rejection of (climate) science: simulating coherence by conspiracism", Synthese 195 (2018): 175--196
- Ralph D. Lorenz, Exploring Planetary Climate: A History of Scientific Discovery on Earth, Mars, Venus and Titan
- Valerio Lucarini, Vera Melinda Galfi, Gabriele Messori, Jacopo Riboldi, "Typicality of the 2021 Western North America Summer Heatwave", arxiv:2206.06197
- Syukuro Manabe and Anthony J. Broccoli, Beyond Global Warming: How Numerical Models Revealed the Secrets of Climate Change [Review by Danny Yee]
- Geoff Mann and Joel Wainwright, Climate Leviathan: A Political Theory of Our Planetary Future
- Manfred Mudelsee, Statistical Analysis of Climate Extremes
- William D. Nordhaus and Joseph Boyer, Warming the World: Economic Models of Global Warming
- Andreas Schäfer, John B. Heywood, Henry D. Jacoby and Ian A. Waitz, Transportation in a Climate-Constrained World
- J. David Neelin, Climate Change and Climate Modeling [Review by Danny Yee]
- José P. Peixóto and Abraham H. Oort, "Physics of climate", Reviews of Modern Physics 56 (1984): 365ff [I can't resist quoting the last sentence of the abstract, in view of the date: "Finally, the possible impact of human activities on climate is discussed, with main emphasis on likely future heating due to the release of carbon dioxide in the atmosphere."]
- Eric Post, Ecology of Climate Change: The Importance of Biotic Interactions
- William F. Ruddiman, Plows, Plagues, and Petroleum: How Humans Took Control of Climate
- Edward Sarachik and Mark S. Cane, The El Niñno-Southern Oscillation Phenomenon
- Hans von Storch and Francis W. Zwiers, Statistical Analysis in Climate Research [2002]
- T. M. L. Wigley, "A Combined Mitigation/Geoengineering Approach to Climate Stabilization", Science 314 (2006): 452--454
- Charles Wohlforth, The Whale and the Supercomputer: On the Northern Front of Climate Change