667 per centimeter : climate science, quantitative biology, statistics, and energy policy
"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: Beth Bond

October 2013 retrospective … Karl Ragabo on ‘Talk Solar’ podcast, regarding value of solar generation

Posted on 6 April 2019 by ecoquant

In October of 2013, Karl Ragabo was interviewed on the Talk Solar podcast from Beth Bond of Decatur, GA. This was shortly after the first version of the Value of Solar report was issued by IREC. Listen to it below: … Continue reading →

Posted in Beth Bond, Bloomberg New Energy Finance, bridge to somewhere, Buckminster Fuller, CleanTechnica, climate disruption, climate economics, decentralized electric power generation, decentralized energy, distributed generation, ecomodernism, ecopragmatism, energy storage, energy utilities, engineering, investment in wind and solar energy, investments, Joseph Schumpeter, Karl Ragabo, microgrids, public utility commissions, regulatory capture, resiliency, RevoluSun, solar democracy, solar domination, solar energy, solar power, Sonnen community, Stewart Brand, stranded assets, Talk Solar, the energy of the people, the green century, Tony Seba, utility company death spiral | Leave a comment
  • Distributed Solar: The Democratizaton of Energy

  • Blogroll

    • Earth Family Beta MIchael Osborne’s blog on Science and the like
    • Comprehensive Guide to Bayes Rule
    • Woods Hole Oceanographic Institution (WHOI)
    • 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”
    • OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
    • Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
    • Slice Sampling
    • The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
    • 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.”
    • Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
    • Los Alamos Center for Bayesian Methods
    • American Statistical Association
    • Mertonian norms
    • 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.
    • Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
    • ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
    • Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
    • Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
    • Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
    • The Alliance for Securing Democracy dashboard
    • Rasmus Bååth's Research Blog Bayesian statistics and data analysis
    • Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
    • Why It’s So Freaking Hard To Make A Good COVID-19 Model Five Thirty Eight’s take on why pandemic modeling is so difficult
    • AP Statistics: Sampling, by Michael Porinchak Twin City Schools
    • "Talking Politics" podcast David Runciman, Helen Thompson
    • Beautiful Weeds of New York City
    • Healthy Home Healthy Planet
    • Risk and Well-Being
    • South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
    • 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.
    • Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
    • Awkward Botany
    • Earle Wilson
    • BioPython A collection of Python tools for quantitative Biology
    • Gabriel's staircase
    • "The Expert"
    • "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.
    • Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
    • Subsidies for wind and solar versus subsidies for fossil fuels
    • John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
    • Harvard's Project Implicit
    • 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.
    • The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
    • Leadership lessons from Lao Tzu
    • WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
    • John Cook's reasons to use Bayesian inference
    • Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
    • "Perpetual Ocean" from NASA GSFC
    • Thaddeus Stevens quotes As I get older, I admire this guy more and more
    • Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
  • climate change

    • "Betting strategies on fluctuations in the transient response of greenhouse warming" By Risbey, Lewandowsky, Hunter, Monselesan: Betting against climate change on durations of 15+ years is no longer a rational proposition.
    • Climate Change Denying Organizations
    • ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
    • James Hansen and granddaughter Sophie on moving forward with progress on climate
    • Climate Change Reports By John and Mel Harte
    • 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.
    • "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.)
    • `Who to believe on climate change': Simple checks By Bart Verheggen
    • Ice and Snow
    • “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
    • 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.
    • Mrooijer's Global Temperature Explorer
    • "Climate science is setttled enough"
    • Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
    • 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.
    • Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
    • David Appell's early climate science
    • Jacobson WWS literature index
    • SolarLove
    • Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
    • On Thomas Edison and Solar Electric Power
    • Grid parity map for Solar PV in United States
    • Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
    • Eli on the spectroscopic basis of atmospheric radiation physical chemistry
    • Sea Change Boston
    • “Ways to [try to] slow the Solar Century''
    • Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
    • Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
    • An open letter to Steve Levitt
    • Skeptical Science
    • All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
    • “The discovery of global warming'' (American Institute of Physics)
    • Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
    • Climate model projections versus observations
    • Professor Robert Strom's compendium of resources on climate change Truly excellent
    • Warming slowdown discussion
    • Sir David King David King’s perspective on climate, and the next thousands of years for humanity
    • Rabett Run Incisive analysis of climate science versus deliberate distraction
    • weather blocking patterns
    • "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
    • `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
    • Berkeley Earth Surface Temperature
    • Spectra Energy exposed
    • Exxon-Mobil statement on UNFCCC COP21
    • Risk and Well-Being
    • "Getting to the Energy Future We Want," Dr Steven Chu
    • 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
    • James Powell on sampling the climate consensus
    • 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.
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    • Photo of the week: Repeatedly distressed Mnium hornum 19 November 2021
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    • Meet Solkjøring 28 September 2021
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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
667 per centimeter : climate science, quantitative biology, statistics, and energy policy
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