667 per centimeter : climate science, quantitative biology, statistics, and energy policy
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Tag Archives: reycling

The elephant in the room: a case for producer responsibility

Posted on 29 May 2018 by ecoquant

This is a guest post by Claire Galkowski, Executive Director, South Shore Recycling Cooperative. With so much focus on the recycling crisis, we tend to overlook the root cause of the problem: The glut of short lived consumer products and … Continue reading →

Posted in affordable mass goods, Anthropocene, chemistry, citizenship, civilization, Claire Galkowski, CleanTechnica, climate economics, consumption, corporate citizenship, corporate responsibility, corporate supply chains, demand-side solutions, design science, ecological services, ecology, Ecology Action, economics, environment, ethics, extended producer responsibility, extended supply chains, greenwashing, Hyper Anthropocene, local self reliance, materials science, municipal solid waste, rebound effect, resource producitivity, shop, solid waste management, sustainability, temporal myopia, the green century, the tragedy of our present civilization, tragedy of the horizon, wishful environmentalism | Tagged reycling, Sankey diagrams, solid waste management, SSRC, waste minimisation | 1 Comment
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    • "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
    • Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
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    • Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
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    • Logistic curves in market disruption From DollarsPerBBL, about logistic or S-curves as models of product take-up rather than exponentials, with notes on EVs
    • Los Alamos Center for Bayesian Methods
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    • Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
    • Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
    • Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
    • 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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    • South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
    • GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
    • Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
    • Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
    • Higgs from AIR describing NAO and EA Stephanie Higgs from AIR Worldwide gives a nice description of NAO and EA in the context of discussing “The Geographic Impact of Climate Signals on European Winter Storms”
    • All about Sankey diagrams
    • 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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    • Why "naive Bayes" is not Bayesian Explains why the so-called “naive Bayes” classifier is not Bayesian. The setup is okay, but estimating probabilities by doing relative frequencies instead of using Dirichlet conjugate priors or integration strays from The Path.
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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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    • 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.
    • The great Michael Osborne's latest opinions Michael Osborne is a genius operative and champion of solar energy. I have learned never to disregard ANYTHING he says. He is mentor of Karl Ragabo, and the genius instigator of the Texas renewable energy miracle.
    • All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
    • Professor Robert Strom's compendium of resources on climate change Truly excellent
    • Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
    • Model state level energy policy for New Englad Bob Massie’s proposed energy policy for Massachusetts, an admirable model for energy policy anywhere in New England
    • World Weather Attribution
    • The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
    • 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.
    • “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
    • "Warming Slowdown?" (part 2 of 2) The idea of a global warming slowdown or hiatus is critically examined, emphasizing the literature, the datasets, and means and methods for telling such. The second part.
    • Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
    • "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.
    • NOAA Annual Greenhouse Gas Index report The annual assessment by the National Oceanic and Atmospheric Administration of the radiative forcing from constituent atmospheric greenhouse gases
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    • Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
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    • "Warming Slowdown?" (part 1 of 2) The idea of a global warming slowdown or hiatus is critically examined, emphasizing the literature, the datasets, and means and methods for telling such. In two parts.
    • Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
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    • "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
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    • "Getting to the Energy Future We Want," Dr Steven Chu
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    • Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
    • “The discovery of global warming'' (American Institute of Physics)
    • Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
    • "When Did Global Warming Stop" Doc Snow’s treatment of the denier claim that there’s been no warming for the most recent N years. (See http://hubpages.com/@doc-snow for more on him.)
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    • The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
    • Nick Bower's "Scared Scientists"
    • 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
    • Exxon-Mobil statement on UNFCCC COP21
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    • “Ways to [try to] slow the Solar Century''
    • Solar Gardens Community Power
    • James Hansen and granddaughter Sophie on moving forward with progress on climate
    • weather blocking patterns
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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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