Distributed Solar: The Democratizaton of Energy
Blogroll
- 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
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- American Statistical Association
- Gabriel's staircase
- All about Sankey diagrams
- Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
- Los Alamos Center for Bayesian Methods
- Dominic Cummings blog Chief advisor to the PM, United Kingdom
- 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
- BioPython A collection of Python tools for quantitative Biology
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- Risk and Well-Being
- Awkward Botany
- "Perpetual Ocean" from NASA GSFC
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- Leadership lessons from Lao Tzu
- London Review of Books
- Leverhulme Centre for Climate Change Mitigation
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- "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.
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- The Alliance for Securing Democracy dashboard
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- Healthy Home Healthy Planet
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- American Association for the Advancement of Science (AAAS)
- Beautiful Weeds of New York City
- Mrooijer's Numbers R 4Us
- Mertonian norms
- 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
- 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
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- 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/
- 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/.
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- 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.
- "Talking Politics" podcast David Runciman, Helen Thompson
- Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
climate change
- The Scientific Case for Modern Human-caused Global Warming
- Climate impacts on retail and supply chains
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- "Getting to the Energy Future We Want," Dr Steven Chu
- Jacobson WWS literature index
- 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.
- Ice and Snow
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- "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.
- Berkeley Earth Surface Temperature
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- Warming slowdown discussion
- 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.
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
- SolarLove
- Simple models of climate change
- MIT's Climate Primer
- "Climate science is setttled enough"
- Solar Gardens Community Power
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- Wally Broecker on climate realism
- David Appell's early climate science
- Earth System Models
- James Powell on sampling the climate consensus
- Agendaists Eli Rabett’s coining of a phrase
- Andy Zucker's "Climate Change and Psychology"
- And Then There's Physics
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- Sea Change Boston
- Exxon-Mobil statement on UNFCCC COP21
- "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 Change Denying Organizations
- 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
- weather blocking patterns
- Grid parity map for Solar PV in United States
- HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
- 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
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- Reanalyses.org
- Professor Robert Strom's compendium of resources on climate change Truly excellent
- On Thomas Edison and Solar Electric Power
- "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.
- "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.)
- Climate model projections versus observations
- Rabett Run Incisive analysis of climate science versus deliberate distraction
- World Weather Attribution
- An open letter to Steve Levitt
- 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
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
667 per centimeter : climate science, quantitative biology, statistics, and energy policy 