Distributed Solar: The Democratizaton of Energy
Blogroll
- Los Alamos Center for Bayesian Methods
- All about Sankey diagrams
- Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
- Ted Dunning
- Woods Hole Oceanographic Institution (WHOI)
- Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
- "Talking Politics" podcast David Runciman, Helen Thompson
- Healthy Home Healthy Planet
- Harvard's Project Implicit
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- BioPython A collection of Python tools for quantitative Biology
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- London Review of Books
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- John Cook's reasons to use Bayesian inference
- Leverhulme Centre for Climate Change Mitigation
- Number Cruncher Politics
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- Karl Broman
- "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.
- Dollars per BBL: Energy in Transition
- Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
- 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.
- Carl Safina's blog One of the wisest on Earth
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- 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/
- 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
- Label Noise
- Leadership lessons from Lao Tzu
- 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
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- Dr James Spall's SPSA
- 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/.
- The Alliance for Securing Democracy dashboard
- 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
- 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.”
- Comprehensive Guide to Bayes Rule
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- Dominic Cummings blog Chief advisor to the PM, United Kingdom
- Mertonian norms
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- 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”
- Ives and Dakos techniques for regime changes in series
- Slice Sampling
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
climate change
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- 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.
- Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- 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.
- 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.
- 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
- "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
- Mrooijer's Global Temperature Explorer
- Rabett Run Incisive analysis of climate science versus deliberate distraction
- Social Cost of Carbon
- Wally Broecker on climate realism
- `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- Andy Zucker's "Climate Change and Psychology"
- The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
- 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
- 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
- Reanalyses.org
- Documenting the Climate Deniarati at work
- Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
- weather blocking patterns
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- On Thomas Edison and Solar Electric Power
- Exxon-Mobil statement on UNFCCC COP21
- Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
- RealClimate
- Spectra Energy exposed
- Simple models of climate change
- "Climate science is setttled enough"
- "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.
- 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
- Climate impacts on retail and supply chains
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- MIT's Climate Primer
- "Getting to the Energy Future We Want," Dr Steven Chu
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
- 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.
- `Who to believe on climate change': Simple checks By Bart Verheggen
- “The discovery of global warming'' (American Institute of Physics)
- Skeptical Science
- The Green Plate Effect Eli Rabett’s “The Green Plate Effect”
- Professor Robert Strom's compendium of resources on climate change Truly excellent
- Climate at a glance Current state of the climate, from NOAA
- Grid parity map for Solar PV in United States
- Interview with Wally Broecker Interview with Wally Broecker
- “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.
- ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
Archives
Jan Galkowski
Category Archives: Ethan Deyle
Liang, information flows, causation, and convergent cross-mapping
Someone recommended the work of Liang recently in connection with causation and attribution studies, and their application to CO2 and climate change. Liang’s work is related to information flows and transfer entropies. As far as I know, the definitive work … Continue reading →
Posted in Akaike Information Criterion, American Association for the Advancement of Science, Anthropocene, attribution, carbon dioxide, climate, climate change, climate disruption, complex systems, convergent cross-mapping, ecology, Egbert van Nes, Ethan Deyle, Floris Takens, George Sughihara, global warming, Hao Ye, Hyper Anthropocene, information theoretic statistics, Lenny Smith, model-free forecasting, nonlinear systems, physics, statistics, Takens embedding theorem, theoretical physics, Timothy Lenton, Victor Brovkin
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Just because the data lies sometimes doesn’t mean it’s okay to censor it
Or, there’s no such thing as an outlier … Eli put up a post titled “The Data Lies. The Crisis in Observational Science and the Virtue of Strong Theory” at his lagomorph blog. Think of it: Data lying. Obviously this … Continue reading →
Posted in Akaike Information Criterion, American Association for the Advancement of Science, American Meteorological Association, American Statistical Association, AMETSOC, Anthropocene, Bayes, Bayesian, climate, climate change, climate models, data science, dynamical systems, ecology, Eli Rabett, environment, Ethan Deyle, George Sughihara, Hao Ye, Hyper Anthropocene, information theoretic statistics, IPCC, Kalman filter, kriging, Lenny Smith, maximum likelihood, model comparison, model-free forecasting, physics, quantitative ecology, random walk processes, random walks, science, smart data, state-space models, statistics, Takens embedding theorem, the right to know, Timothy Lenton, Victor Brovkin
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“Stochastic Parameterization: Towards a new view of weather and climate models”
Judith Berner, Ulrich Achatz, Lauriane Batté, Lisa Bengtsson, Alvaro De La Cámara, Hannah M. Christensen, Matteo Colangeli, Danielle R. B. Coleman, Daan Crommelin, Stamen I. Dolaptchiev, Christian L.E. Franzke, Petra Friederichs, Peter Imkeller, Heikki Järvinen, Stephan Juricke, Vassili Kitsios, François … Continue reading →
Posted in biology, climate models, complex systems, convergent cross-mapping, data science, dynamical systems, ecology, Ethan Deyle, Floris Takens, George Sughihara, Hao Ye, likelihood-free, Lorenz, mathematics, meteorological models, model-free forecasting, physics, population biology, population dynamics, quantitative biology, quantitative ecology, Scripps Institution of Oceanography, state-space models, statistical dependence, statistics, stochastic algorithms, stochastic search, stochastics, Takens embedding theorem, time series, Victor Brovkin
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On Munshi mush
(Slightly updated on 2016-06-11.) Professor Emeritus Jamal Munshi of Sonoma State University has papers recently cited in science denier circles as evidence that the conventional associations between mean global surface temperature and cumulative carbon emissions are, well, bunk, due to … Continue reading →
Posted in Bayes, Bayesian, Berkeley Earth Surface Temperature project, BEST, carbon dioxide, cat1, climate, climate change, climate data, climate education, climate models, convergent cross-mapping, dynamic linear models, ecology, ENSO, environment, Ethan Deyle, evidence, geophysics, George Sughihara, global warming, greenhouse gases, information theoretic statistics, Kalman filter, mathematics, maths, meteorology, model comparison, NOAA, oceanography, prediction, state-space models, statistics, Takens embedding theorem, Techno Utopias, the right to know, theoretical physics, time series, zero carbon
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“Causal feedbacks in climate change”
Today I was reviewing and re-reading the nonlinear time series technical literature I have, seeking ideas on how to go about using the statistical ensemble learning technique called “boosting” with them. (See the very nice book, R. E. Schapire, Y. … Continue reading →
Posted in Anthropocene, boosting, Carbon Cycle, carbon dioxide, Carbon Worshipers, cat1, climate, climate change, climate data, climate disruption, complex systems, convergent cross-mapping, denial, differential equations, diffusion processes, dynamical systems, ecology, Egbert van Nes, empirical likelihood, ensembles, environment, Ethan Deyle, Floris Takens, forecasting, fossil fuels, geophysics, George Sughihara, global warming, greenhouse gases, Hao Ye, machine learning, Maren Scheffer, mathematics, maths, meteorology, physics, rationality, reasonableness, science, state-space models, Takens embedding theorem, time series, Timothy Lenton, Victor Brovkin
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ecoquant
