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

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
  • Distributed Solar: The Democratizaton of Energy

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    • Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
    • Carl Safina's blog One of the wisest on Earth
    • Comprehensive Guide to Bayes Rule
    • Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
    • Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
    • Slice Sampling
    • WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
    • The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
    • Leadership lessons from Lao Tzu
    • Risk and Well-Being
    • Simon Wood's must-read paper on dynamic modeling of complex systems I highlighted Professor Wood’s paper in https://hypergeometric.wordpress.com/2014/12/26/struggling-with-problems-already-attacked/
    • Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
    • NCAR AtmosNews
    • Harvard's Project Implicit
    • Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
    • Gavin Simpson
    • Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
    • Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
    • John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
    • The Plastic Pick-Up: Discovering new sources of marine plastic pollution
    • 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.”
    • Subsidies for wind and solar versus subsidies for fossil fuels
    • The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
    • Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
    • Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
    • London Review of Books
    • ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
    • Busting Myths About Heat Pumps Heat pumps are perhaps the most efficient heating and cooling systems available. Recent literature distributed by utilities hawking natural gas and other sources use performance figures from heat pumps as they were available 15 years ago. See today’s.
    • 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”
    • 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.
    • South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
    • Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
    • SASB Sustainability Accounting Standards Board
    • Pat's blog While it is described as “The mathematical (and other) thoughts of a (now retired) math teacher”, this is false humility, as it chronicles the present and past life and times of mathematicians in their context. Recommended.
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    • Mike Bloomberg, 2020 He can get progress on climate done, has the means and experts to counter the Trump and Republican digital disinformation machine, and has the experience, knowledge, and depth of experience to achieve and unify.
    • International Society for Bayesian Analysis (ISBA)
    • Los Alamos Center for Bayesian Methods
    • Mertonian norms
    • Number Cruncher Politics
    • Thaddeus Stevens quotes As I get older, I admire this guy more and more
    • Label Noise
    • Leverhulme Centre for Climate Change Mitigation
    • Giant vertical monopolies for energy have stopped making sense
    • Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
    • Professor David Draper
  • climate change

    • "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.
    • The Keeling Curve The first, and one of the best programs for creating a spatially significant long term time series of atmospheric concentrations of CO2. Started amongst great obstacles by one, smart determined guy, Charles David Keeling.
    • Berkeley Earth Surface Temperature
    • Wally Broecker on climate realism
    • World Weather Attribution
    • MIT's Climate Primer
    • Sea Change Boston
    • Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
    • David Appell's early climate science
    • History of discovering Global Warming From the American Institute of Physics.
    • Climate at a glance Current state of the climate, from NOAA
    • Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
    • Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
    • Warming slowdown discussion
    • Paul Beckwith Professor Beckwith is, in my book, one of the most insightful and analytical observers on climate I know. I highly recommend his blog, and his other informational products.
    • "Mighty Microgrids" Webinar This is a Webinar on YouTube about Microgrids from the Institute for Local Self-Reliance (ILSR), featuring New York State and Minnesota
    • Jacobson WWS literature index
    • Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
    • "A field guide to the climate clowns"
    • Social Cost of Carbon
    • HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
    • Sir David King David King’s perspective on climate, and the next thousands of years for humanity
    • Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
    • Mathematics and Climate Research Network The Mathematics and Climate Research Network (MCRN) engages mathematicians to collaborating on the cryosphere, conceptual model validation, data assimilation, the electric grid, food systems, nonsmooth systems, paleoclimate, resilience, tipping points.
    • Climate change: Evidence and causes A project of the UK Royal Society: (1) Answers to key questions, (2) evidence and causes, and (3) a short guide to climate science
    • Agendaists Eli Rabett’s coining of a phrase
    • Mrooijer's Global Temperature Explorer
    • "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.
    • The Scientific Case for Modern Human-caused Global Warming
    • An open letter to Steve Levitt
    • Earth System Models
    • `Who to believe on climate change': Simple checks By Bart Verheggen
    • Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
    • Bloomberg interactive graph on “What's warming the world''
    • All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
    • The Sunlight Economy
    • Ice and Snow
    • `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, 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.
    • Climate impacts on retail and supply chains
    • The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
    • Professor Robert Strom's compendium of resources on climate change Truly excellent
    • The Green Plate Effect Eli Rabett’s “The Green Plate Effect”
    • Simple models of climate change
    • Documenting the Climate Deniarati at work
    • 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.
    • Exxon-Mobil statement on UNFCCC COP21
    • Climate Change Reports By John and Mel Harte
    • Andy Zucker's "Climate Change and Psychology"
    • Rabett Run Incisive analysis of climate science versus deliberate distraction
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  • Goodreads

  • 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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