Distributed Solar: The Democratizaton of Energy
Blogroll
- Dollars per BBL: Energy in Transition
- All about models
- 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”
- Subsidies for wind and solar versus subsidies for fossil fuels
- "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.
- Los Alamos Center for Bayesian Methods
- Comprehensive Guide to Bayes Rule
- Lenny Smith's CHAOS: A VERY SHORT INTRODUCTION This is a PDF version of Lenny Smith’s book of the same title, also available from Amazon.com
- "Perpetual Ocean" from NASA GSFC
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- Mertonian norms
- American Statistical Association
- 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/
- 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.
- 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.
- "The Expert"
- Slice Sampling
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- John Cook's reasons to use Bayesian inference
- 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
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- Label Noise
- Dr James Spall's SPSA
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- Gabriel's staircase
- International Society for Bayesian Analysis (ISBA)
- "Talking Politics" podcast David Runciman, Helen Thompson
- Awkward Botany
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- 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/
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- NCAR AtmosNews
- Risk and Well-Being
- Leadership lessons from Lao Tzu
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- 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.”
- Professor David Draper
- London Review of Books
- 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
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- In Monte Carlo We Trust The statistics blog of Matt Asher, actually called the “Probability and Statistics Blog”, but his subtitle is much more appealing. Asher has a Manifesto at http://www.statisticsblog.com/manifesto/.
- Dominic Cummings blog Chief advisor to the PM, United Kingdom
- Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
- Ted Dunning
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- The Alliance for Securing Democracy dashboard
- Healthy Home Healthy Planet
climate change
- Climate Change Denying Organizations
- Bloomberg interactive graph on “What's warming the world''
- Eli on the spectroscopic basis of atmospheric radiation physical chemistry
- ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- And Then There's Physics
- 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
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- "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
- Thriving on Low Carbon
- HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
- Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
- Spectra Energy exposed
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- 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
- 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.
- Wally Broecker on climate realism
- "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.)
- Andy Zucker's "Climate Change and Psychology"
- 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
- "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 Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- Reanalyses.org
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- "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.
- Earth System Models
- Agendaists Eli Rabett’s coining of a phrase
- The Green Plate Effect Eli Rabett’s “The Green Plate Effect”
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
- Sir David King David King’s perspective on climate, and the next thousands of years for humanity
- "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.
- Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
- 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.
- Nick Bower's "Scared Scientists"
- Exxon-Mobil statement on UNFCCC COP21
- World Weather Attribution
- Climate model projections versus observations
- `Who to believe on climate change': Simple checks By Bart Verheggen
- Climate Change Reports By John and Mel Harte
- Climate impacts on retail and supply chains
- 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.
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- Interview with Wally Broecker Interview with Wally Broecker
- SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
- “The discovery of global warming'' (American Institute of Physics)
- Warming slowdown discussion
- Professor Robert Strom's compendium of resources on climate change Truly excellent
- Risk and Well-Being
- James Powell on sampling the climate consensus
Archives
Jan Galkowski
Category Archives: mathematics education
“[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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climate internal variability is just residual variance from modeling with a smooth curve?
I happened across what I consider to be an amazing slide while “reading around” the work of Deser and colleagues. It is reproduced below, taken from Dagg and Wills: (Click image to see a larger picture, and use browser ‘back’ … Continue reading
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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Species abundances, raw abundances, and species composition
From Climate Change Ecology, An intuitive explanation for the 'double-zeroes' problem with Euclidean distances.
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
Understanding mechanisms in climate over short periods and in local regions
This is interesting, because it shows how any particular observational history of Earth is one election of a large number of possible futures. This is exactly the same point made by Slava Kharin in his 2008 tutorial lecture “Statistical concepts … Continue reading
Posted in carbon dioxide, climate, climate education, differential equations, ecology, energy, environment, forecasting, geophysics, IPCC, mathematics, mathematics education, maths, meteorology, NCAR, NOAA, oceanography, physics, rationality, reasonableness, science, statistics, stochastic algorithms
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“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
An equation-free introduction to Bayesian inference
By Tomoharu Eguchi from 2008: “An Introduction to Bayesian Statistics Without Using Equations“.
ecoquant
