Distributed Solar: The Democratizaton of Energy
Blogroll
- Leadership lessons from Lao Tzu
- Karl Broman
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
- The Alliance for Securing Democracy dashboard
- Professor David Draper
- Leverhulme Centre for Climate Change Mitigation
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- Giant vertical monopolies for energy have stopped making sense
- NCAR AtmosNews
- 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.
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
- Number Cruncher Politics
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- Hermann Scheer Hermann Scheer was a visionary, a major guy, who thought deep thoughts about energy, and its implications for humanity’s relationship with physical reality
- 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.
- Woods Hole Oceanographic Institution (WHOI)
- 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/
- Ives and Dakos techniques for regime changes in series
- "The Expert"
- All about models
- Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
- Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
- Awkward Botany
- Healthy Home Healthy Planet
- 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/.
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- Ted Dunning
- Earle Wilson
- John Cook's reasons to use Bayesian inference
- Mrooijer's Numbers R 4Us
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- Gabriel's staircase
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- Beautiful Weeds of New York City
- Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
- 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.”
- "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.
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- Los Alamos Center for Bayesian Methods
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- Comprehensive Guide to Bayes Rule
- Patagonia founder Yvon Chouinard on how businesses can help our collective environmental mess Patagonia’s Yvon Chouinard set the standard for how a business can mitigate the ravages of capitalism on earth’s environment. At 81 years old, he’s just getting started.
- BioPython A collection of Python tools for quantitative Biology
climate change
- Reanalyses.org
- James Powell on sampling the climate consensus
- "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.)
- Rabett Run Incisive analysis of climate science versus deliberate distraction
- 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.
- 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.
- Risk and Well-Being
- Wally Broecker on climate realism
- 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.
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- Sir David King David King’s perspective on climate, and the next thousands of years for humanity
- History of discovering Global Warming From the American Institute of Physics.
- Ice and Snow
- 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.
- Documenting the Climate Deniarati at work
- Mrooijer's Global Temperature Explorer
- Simple models of climate change
- 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
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- 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
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
- Skeptical Science
- Jacobson WWS literature index
- Eli on the spectroscopic basis of atmospheric radiation physical chemistry
- Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
- "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.
- “The discovery of global warming'' (American Institute of Physics)
- Social Cost of Carbon
- Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
- "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
- "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 unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- 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
- SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
- Jacobson WWS literature index
- David Appell's early climate science
- Solar Gardens Community Power
- Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- "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 Scientific Case for Modern Human-caused Global Warming
- ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
- Warming slowdown discussion
- World Weather Attribution
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- Earth System Models
- `Who to believe on climate change': Simple checks By Bart Verheggen
Archives
Jan Galkowski
Category Archives: Hao Ye
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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“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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2 Comments
ecoquant
