
Distributed Solar: The Democratizaton of Energy

Blogroll
- Earle Wilson
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- distributed solar and matching location to need
- Comprehensive Guide to Bayes Rule
- All about models
- 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.”
- Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
- International Society for Bayesian Analysis (ISBA)
- Woods Hole Oceanographic Institution (WHOI)
- 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.
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
- Healthy Home Healthy Planet
- 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.
- "Talking Politics" podcast David Runciman, Helen Thompson
- Ted Dunning
- Subsidies for wind and solar versus subsidies for fossil fuels
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- Giant vertical monopolies for energy have stopped making sense
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- "The Expert"
- Ives and Dakos techniques for regime changes in series
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- American Statistical Association
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- 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.
- Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- Los Alamos Center for Bayesian Methods
- Mertonian norms
- Dollars per BBL: Energy in Transition
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- "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.
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- "Perpetual Ocean" from NASA GSFC
- Slice Sampling
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- 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
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- James' Empty Blog
- BioPython A collection of Python tools for quantitative Biology
- Darren Wilkinson's introduction to ABC Darren Wilkinson’s introduction to approximate Bayesian computation (“ABC”). See also his post about summary statistics for ABC https://darrenjw.wordpress.com/2013/09/01/summary-stats-for-abc/
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- Awkward Botany
- Leadership lessons from Lao Tzu
- What If
- Gabriel's staircase
climate change
- "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
- Climate at a glance Current state of the climate, from NOAA
- Warming slowdown discussion
- Earth System Models
- Nick Bower's "Scared Scientists"
- `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- Skeptical Science
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- RealClimate
- Climate model projections versus observations
- The beach boondoggle Prof Rob Young on how owners of beach property are socializing their risks at costs to all of us, not the least being it seems coastal damage is less than it actually is
- 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.
- Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
- The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
- Spectra Energy exposed
- Agendaists Eli Rabett’s coining of a phrase
- Climate Change Reports By John and Mel Harte
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
- "Getting to the Energy Future We Want," Dr Steven Chu
- Ice and Snow
- weather blocking patterns
- 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
- The Sunlight Economy
- The Scientific Case for Modern Human-caused Global Warming
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- `Who to believe on climate change': Simple checks By Bart Verheggen
- 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.
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- 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.
- Social Cost of Carbon
- "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.
- CLIMATE ADAM Previously from the Science news staff at the podcast of Nature (“Nature Podcast”), the journal, now on YouTube, encouraging climate action through climate comedy.
- “Ways to [try to] slow the Solar Century''
- David Appell's early climate science
- Dessler's 6 minute Greenhouse Effect video
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- Wally Broecker on climate realism
- 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.
- Berkeley Earth Surface Temperature
- Andy Zucker's "Climate Change and Psychology"
- "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.
- MIT's Climate Primer
- Documenting the Climate Deniarati at work
- Rabett Run Incisive analysis of climate science versus deliberate distraction
- Reanalyses.org
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- 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.
Archives
Jan Galkowski
Category Archives: Bayes
Naomi Oreskes and significance testing
Naomi Oreskes has an op-ed in The New York Times today, which intends to defend the severe standards of evidence scientists employ, with special applicability to climate science and their explanation of causation (greenhouse gases produce radiative forcing), attribution (most … Continue reading
On nested equivalence classes of climate models, ordered by computational complexity
I’m digging into the internals of ABC, for professional and scientific reasons. I’ve linked a great tutorial elsewhere, and argued that this framework, advanced by Wood, and Wilkinson (Robert), and Wilkinson (Darren), and Hartig and colleagues, and Robert and colleagues, … Continue reading
Posted in approximate Bayesian computation, Bayes, Bayesian, biology, ecology, environment, forecasting, geophysics, IPCC, mathematics, maths, MCMC, meteorology, NCAR, NOAA, oceanography, optimization, population biology, Principles of Planetary Climate, probabilistic programming, R, science, stochastic algorithms, stochastic search
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“[W]e want to model the process as we would simulate it.”
Professor Darren Wilkinson offers a pithy insight on how to go about constructing statistical models, notably hierarchical ones: “… we want to model the process as we would simulate it ….” This appears in his blog post One-way ANOVA with … Continue reading
Posted in approximate Bayesian computation, Bayes, Bayesian, biology, ecology, engineering, forecasting, mathematics, mathematics education, maths, model comparison, optimization, population biology, probabilistic programming, rationality, reasonableness, risk, science, science education, sociology, statistics, stochastic algorithms
Tagged ANOVA
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struggling with problems already partly solved by others
Climate modelers and models see as their frontier the problem of dealing with spontaneous dynamics in systems such as atmosphere or ocean which are not directly forced by boundary conditions such as radiative forcing due to increased greenhouse gas (“GHG”) … Continue reading
Posted in approximate Bayesian computation, Bayes, Bayesian, biology, climate, climate education, differential equations, ecology, engineering, environment, geophysics, IPCC, mathematics, mathematics education, meteorology, model comparison, NCAR, NOAA, oceanography, physics, population biology, probabilistic programming, rationality, reasonableness, risk, science, science education, statistics, stochastic algorithms, stochastic search
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illustrating particle filters and Bayesian fusion using successive location estimates on the unit circle
Introduction Modern treatments of Bayesian integration to obtain posterior densities often use some form of Markov Chain Monte Carlo (“MCMC”), typically Gibbs sampling. Gibbs works well with many Bayesian hierarchical models. The standard problem-solving situation with these is that a … Continue reading
“… making a big assumption …”
“That’s making a big assumption.” (This post is a follow-on from an earlier one.) In the colloquial, the phrase means basing an argument on a precondition which is unusual or atypical or offends common sense. When applied to scientific hypotheses, … Continue reading
Bayesian inference works even in a chaotic or deterministic world
Professor John Geweke, in a Comment on an article by Professor Mark Berliner a bit back (1992), shows how Bayesian inference continues to be a means for expressing subjective uncertainty even in a scheme where there are no stochastics but … Continue reading
“Can we trust climate models?”
J. C. Hargreaves, J. D. Annan, “Can we trust climate models?”, WIREs Climate Change 2014, 5:435–440. doi: 10.1002/wcc.288. See also D. A. Stainforth, T. Aina, C. Christensen, M. Collins, N. Faull, D. J. Frame, J. A. Kettleborough, S. Knight, A. … Continue reading
Liddell and Kruschke, on conditional logistic Bayesian estimation
(“Ostracism and fines in a public goods game with accidental contributions: The importance of punishment type”) An overview. The article
Posted in Bayes, Bayesian, biology, citizenship, civilization, compassion, ecology, economics, ethics, humanism, investing, MCMC, politics, rationality, reasonableness, risk, sociology, statistics
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An equation-free introduction to Bayesian inference
By Tomoharu Eguchi from 2008: “An Introduction to Bayesian Statistics Without Using Equations“.

