Distributed Solar: The Democratizaton of Energy
Blogroll
- Comprehensive Guide to Bayes Rule
- 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
- Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- London Review of Books
- 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.
- Professor David Draper
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- Dollars per BBL: Energy in Transition
- Giant vertical monopolies for energy have stopped making sense
- Healthy Home Healthy Planet
- Beautiful Weeds of New York City
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- Slice Sampling
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- NCAR AtmosNews
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- Leadership lessons from Lao Tzu
- Los Alamos Center for Bayesian Methods
- Leverhulme Centre for Climate Change Mitigation
- Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
- "Perpetual Ocean" from NASA GSFC
- "Talking Politics" podcast David Runciman, Helen Thompson
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- Label Noise
- Woods Hole Oceanographic Institution (WHOI)
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- 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/
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- Number Cruncher Politics
- Awkward Botany
- Mertonian norms
- All about Sankey diagrams
- The Alliance for Securing Democracy dashboard
- 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
- distributed solar and matching location to need
- BioPython A collection of Python tools for quantitative Biology
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- American Statistical Association
- American Association for the Advancement of Science (AAAS)
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- Earle Wilson
- All about models
- 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/
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
climate change
- Climate model projections versus observations
- World Weather Attribution
- Ice and Snow
- Earth System Models
- Simple models of climate change
- Reanalyses.org
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- 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.
- weather blocking patterns
- 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
- SolarLove
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- Professor Robert Strom's compendium of resources on climate change Truly excellent
- `Who to believe on climate change': Simple checks By Bart Verheggen
- "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
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
- Solar Gardens Community Power
- Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- MIT's Climate Primer
- Climate Change Reports By John and Mel Harte
- Bloomberg interactive graph on “What's warming the world''
- Jacobson WWS literature index
- 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.
- 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
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- 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.
- Exxon-Mobil statement on UNFCCC COP21
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- The Scientific Case for Modern Human-caused Global Warming
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- Warming slowdown discussion
- Rabett Run Incisive analysis of climate science versus deliberate distraction
- Jacobson WWS literature index
- History of discovering Global Warming From the American Institute of Physics.
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- Andy Zucker's "Climate Change and Psychology"
- “The discovery of global warming'' (American Institute of Physics)
- Climate impacts on retail and supply chains
- Mrooijer's Global Temperature Explorer
- On Thomas Edison and Solar Electric Power
- An open letter to Steve Levitt
- "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.
- "A field guide to the climate clowns"
- "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.
- 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.
- David Appell's early climate science
- 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
- Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
Archives
Jan Galkowski
Category Archives: COVID-19
Meet your sparring partner
(Credits: Professor Wendy Barclay of Imperial College London and Professor Tom Burgoyne of University College London)
Posted in COVID-19, SARS-CoV-2
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ICL’s Gast, Openshaw, Riley, Barclay on COVID-19 by SARS-CoV-2 : Disease, transmission, variants, and all that
Posted in COVID-19, epidemiology, ICL, SARS-CoV-2
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The engagement with SARS-CoV-2: Where we stand in the United States, in curated numbers
From the COVID Tracking Project at The Atlantic Monthly, a 23rd December 2020 report: California is out of control. As I’ve noted elsewhere and the COVID Tracking Project reminds, sourcing cases, deaths, positive test rate, and hospitalization data is tricky. … Continue reading
Six Principle Plays in Denialist Playbook
It’s all about advancing anti-science and doubts about science, as well as confusing the public for ideological and financial gain. (h/t Scientific American)
Posted in American Association for the Advancement of Science, an ignorant American public, anti-intellectualism, anti-science, Ben Santer, climate denial, climate science, Climate Science Legal Defense Fund, COVID-19, denial, Desmog Blog, science, science denier, science education, secularism, Skeptical Science
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Phase Plane plots of COVID-19 deaths with uncertainties
I. Introduction. It’s time to fulfill the promise made in “Phase plane plots of COVID-19 deaths“, a blog post from 2nd May 2020, and produce the same with uncertainty clouds about the functional trajectories(*). To begin, here are some assumptions … Continue reading
Posted in American Statistical Association, Andrew Harvey, anomaly detection, count data regression, COVID-19, dependent data, dlm package, Durbin and Koopman, dynamic linear models, epidemiology, filtering, forecasting, Kalman filter, LaTeX, model-free forecasting, Monte Carlo Statistical Methods, numerical algorithms, numerical linear algebra, population biology, population dynamics, prediction, R, R statistical programming language, regression, statistical learning, stochastic algorithms
Tagged prediction intervals
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“No, COVID-19 Is not the Flu”
Q&A with Andrew Pekosz, PhD, Johns Hopkins University: Q: What would you say to someone who insists to you that COVID-19 is “just the flu”? A: Since December 2019, COVID-19 has killed more people in the U.S. than influenza has … Continue reading
Posted in coronavirus, COVID-19, epidemiology, SARS-CoV-2
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Für alle ohne maske
h/t Professor Christian Robert.
Posted in COVID-19, pandemic, SARS-CoV-2
Tagged Berlin, COVID-19, face-mask, Germany, mask-enforcement, pandemic, pandemic-policy, SARS-CoV-2, street-advertising
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‘The virus is their new hoax’
And note that the variant of SARS-CoV-2 which has taken over the world is a more virulent, more damaging, and more infectious variant of the virus which infected Wuhan. We visualized COVID’s spread across every US state and county. Check … Continue reading
Has maintaining economic growth been worth it?
From Our World in Data article “No sign of a health-economy trade-off, quite the opposite“. Have the countries experiencing the largest economic decline performed better in protecting the nation’s health, as we would expect if there was a trade-off? The … Continue reading
Posted in coronavirus, COVID-19, economics, epidemiology, pandemic, policy metrics, politics, SARS-CoV-2
Tagged covid19, economicimpact, lives_for_dollars, pandemicresponse, sars_cov_2
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“Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions”
J. Dehning et al., Science 369, eabb9789 (2020). DOI: 10.1126/science.abb9789 Source code and data. Note: This is not a classical approach to assessing strength of interventions using either counterfactuals or other kinds of causal inference. Accordingly, the argument for the … Continue reading
Posted in American Association for the Advancement of Science, American Statistical Association, Bayesian, Bayesian computational methods, causal inference, causation, changepoint detection, coronavirus, counterfactuals, COVID-19, epidemiology, SARS-CoV-2, state-space models, statistical series, time series
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COVID-19 statistics, a caveat : Sources of data matter
There are a number of sources of COVID-19-related demographics, cases, deaths, numbers testing positive, numbers recovered, and numbers testing negative available. Many of these are not consistent with one another. One could hope at least rates would be consistent, but … Continue reading
First substantial mechanism for long term immunity from SARS-CoV-2 : T-cells
M. Leslie, “T cells found in COVID-19 patients ‘bode well’ for long-term immunity“, Science, doi:10.1126/science.abc8120. A. Grifoni, et al, “Targets of T cell responses to SARS-CoV-2 coronavirus in humans with COVID-19 disease and unexposed individuals“, Cell, 14th May 2020. J. … Continue reading
Dissection of the Dr Judy Mikovits’ claims in AAAS Science
https://www.sciencemag.org/news/2020/05/fact-checking-judy-mikovits-controversial-virologist-attacking-anthony-fauci-viral h/t Dr Katharine Hayhoe @LinkedIn The Chronic Fatigue Syndrome retraction notice. Excerpt: Science asked Mikovits for an interview for this article. She responded by sending an empty email with, as attachments, a copy of her new book and a … Continue reading
“Seasonality of COVID-19, Other Coronaviruses, and Influenza” (from Radford Neal’s blog)
Thorough review with documentation and technical criticism of claims of COVID-19 seasonality or its lack. Whichever way this comes down, the links are well worth the visit! Will the incidence of COVID-19 decrease in the summer? There is reason to … Continue reading
Phase plane plots of COVID-19 deaths
There are many ways of presenting analytical summaries of new series data for which the underlying mechanisms are incompletely understood. With respect to series describing the COVID-19 pandemic, Tamino has used piecewise linear models. I have mentioned how I prefered … Continue reading
Machiavelli
It’s right out of Machiavelli’s The Prince. #covid_19 #coronavirus Even for the Trump administration, it is odd they are pushing #Hydroxychloroquine and #Azithromycin so hard, against medical advice and evidence. I’ve thought about this and, given the growing animosity between … Continue reading
New COVID-19 incidence in the United States as AR(1) processes
There are several sources of information regarding Covid-19 incidence now available. This post uses data from a single source: the COVID Tracking Project. In particular I restrict attention to cumulative daily case counts for the United States, the UK, and … Continue reading
Posted in coronavirus, COVID-19, epidemiology, pandemic, regression, SARS-CoV-2
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ecoquant
667 per centimeter : climate science, quantitative biology, statistics, and energy policy 