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"Whether we and our politicians know it or not, Nature is party to all our deals and decisions, and she has more votes, a longer memory, and a sterner sense of justice than we do." — Wendell Berry
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Category Archives: WHT

Complexity vs Simplicity in Geophysics

Posted on 10 November 2020 by ecoquant

Really interesting mechanistic reductionism illustrating what it means to explain phenomena scientifically. It’s all about the maths.

Posted in abstraction, American Association for the Advancement of Science, American Meteorological Association, American Statistical Association, Azimuth Project, complex systems, control theory, differential equations, dynamical systems, eigenanalysis, information theoretic statistics, mathematics, Mathematics and Climate Research Network, mechanistic models, nonlinear systems, Paul Pukite, spectra, spectral methods, spectroscopy, theoretical physics, wave equations, WHT | Leave a comment

WHT’s “Climate Sensitivity and the 33C Discrepancy”

Posted on 29 July 2015 by ecoquant

I happened across a blog post (from 2013) by the mysterious blogger known as WHT (*) titled “Climate Sensitivity and the 33C Discrepancy“. If I could, I’d reblog it here, but their blogging site is not WordPress-friendly. WHT is now … Continue reading →

Posted in astrophysics, carbon dioxide, climate, climate change, climate disruption, climate models, dynamical systems, ENSO, environment, forecasting, fossil fuels, geophysics, global warming, mathematics, maths, meteorology, oceanography, physics, Principles of Planetary Climate, rationality, reasonableness, risk, science, WHT | 1 Comment
  • Distributed Solar: The Democratizaton of Energy

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    • All about ENSO, and lunar tides (Paul Pukite) Historically, ENSO has been explained in terms of winds. But recently — and Dr Paul Pukite has insisted upon this for a long time — the oscillation of ENSO has been explained as a large-scale slosh due to lunar tidal forcing.
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    • Prediction vs Forecasting: Knaub “Unfortunately, ‘prediction,’ such as used in model-based survey estimation, is a term that is often subsumed under the term ‘forecasting,’ but here we show why it is important not to confuse these two terms.”
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    • Isaac Held's blog In the spirit of Ray Pierrehumbert’s “big ideas come from small models” in his textbook, PRINCIPLES OF PLANETARY CLIMATE, Dr Held presents quantitative essays regarding one feature or another of the Earth’s climate and weather system.
    • Steve Easterbrook's excellent climate blog: See his "The Internet: Saving Civilization or Trashing the Planet?" for example Heavy on data and computation, Easterbrook is a CS prof at UToronto, but is clearly familiar with climate science. I like his “The Internet: Saving Civilization or Trashing the Planet” very much.
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    • "Impacts of Green New Deal energy plans on grid stability, costs, jobs, health, and climate in 143 countries" (Jacobson, Delucchi, Cameron, et al) Global warming, air pollution, and energy insecurity are three of the greatest problems facing humanity. To address these problems, we develop Green New Deal energy roadmaps for 143 countries.
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    • Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
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    • "Getting to the Energy Future We Want," Dr Steven Chu
    • "Climate science is setttled enough"
    • AIP's history of global warming science: impacts The American Institute of Physics has a fine history of the science of climate change. This link summarizes the history of impacts of climate change.
    • Jacobson WWS literature index
    • Professor Robert Strom's compendium of resources on climate change Truly excellent
    • Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
    • Climate Change: A health emergency … New England Journal of Medicine Caren G. Solomon, M.D., M.P.H., and Regina C. LaRocque, M.D., M.P.H., January 17, 2019 N Engl J Med 2019; 380:209-211 DOI: 10.1056/NEJMp1817067
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    • ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
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    • And Then There's Physics
    • “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
    • Dessler's 6 minute Greenhouse Effect video
    • David Appell's early climate science
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  • Kalman filtering and smoothing; dynamic linear models



    Also, see datasets and R examples to accompany this excellent text.





    I have used dlm almost exclusively, except when extreme efficiency was required. Since Jouni Helske's KFAS was rewritten, though, I'm increasingly drawn to it, because the noise sources it supports are more diverse than dlm's. KFAS uses the notation and approaches of Durbin, Koopman, and Harvey.

    ``The real problem is that programmers have spent far too much time worrying about efficiency in the wrong places and at the wrong times; premature optimization is the root of all evil (or at least most of it) in programming.''
    Professor Donald Knuth, 1974
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