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
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- Gavin Simpson
- Harvard's Project Implicit
- 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
- "Perpetual Ocean" from NASA GSFC
- 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.
- Dollars per BBL: Energy in Transition
- SASB Sustainability Accounting Standards Board
- International Society for Bayesian Analysis (ISBA)
- 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.
- Leverhulme Centre for Climate Change Mitigation
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- Los Alamos Center for Bayesian Methods
- Karl Broman
- Woods Hole Oceanographic Institution (WHOI)
- distributed solar and matching location to need
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
- 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
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- Risk and Well-Being
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- Tim Harford's “More or Less'' Tim Harford explains – and sometimes debunks – the numbers and statistics used in political debate, the news and everyday life
- 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.”
- The Alliance for Securing Democracy dashboard
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- American Association for the Advancement of Science (AAAS)
- "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.
- Ted Dunning
- Dr James Spall's SPSA
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- Mrooijer's Numbers R 4Us
- Ives and Dakos techniques for regime changes in series
- "Talking Politics" podcast David Runciman, Helen Thompson
- 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.
- Label Noise
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- BioPython A collection of Python tools for quantitative Biology
- Mertonian norms
- Subsidies for wind and solar versus subsidies for fossil fuels
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- Comprehensive Guide to Bayes Rule
- Leadership lessons from Lao Tzu
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
climate change
- 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.
- The Sunlight Economy
- Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
- Nick Bower's "Scared Scientists"
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- The Green Plate Effect Eli Rabett’s “The Green Plate Effect”
- Simple models of climate change
- Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- Risk and Well-Being
- `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- 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
- World Weather Attribution
- "Climate science is setttled enough"
- "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.
- Professor Robert Strom's compendium of resources on climate change Truly excellent
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- David Appell's early climate science
- 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.
- "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.
- Jacobson WWS literature index
- "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.
- weather blocking patterns
- Bloomberg interactive graph on “What's warming the world''
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
- Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
- 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
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- Reanalyses.org
- Climate Change Reports By John and Mel Harte
- 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.
- 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.
- Interview with Wally Broecker Interview with Wally Broecker
- "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
- “Ways to [try to] slow the Solar Century''
- 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.
- On Thomas Edison and Solar Electric Power
- Climate impacts on retail and supply chains
- Skeptical Science
- Sea Change Boston
- Solar Gardens Community Power
- "A field guide to the climate clowns"
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- James Hansen and granddaughter Sophie on moving forward with progress on climate
- Grid parity map for Solar PV in United States
- 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
Archives
Jan Galkowski
Category Archives: Rauch-Tung-Striebel
Six cases of models
The previous post included an attempt to explain land surface temperatures as estimated by the BEST project using a dynamic linear model including regressions on both quarterly CO2 concentrations and ocean heat content. The idea was to check the explanatory … Continue reading
Posted in AMETSOC, anemic data, Anthropocene, astrophysics, Bayesian, Berkeley Earth Surface Temperature project, BEST, carbon dioxide, climate, climate change, climate data, climate disruption, climate models, dlm package, dynamic linear models, dynamical systems, environment, fossil fuels, geophysics, Giovanni Petris, global warming, greenhouse gases, Hyper Anthropocene, information theoretic statistics, maths, maximum likelihood, meteorology, model comparison, numerical software, Patrizia Campagnoli, Rauch-Tung-Striebel, Sonia Petrone, state-space models, stochastic algorithms, stochastic search, SVD, time series
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Cory Lesmeister’s treatment of Simson’s Paradox (at “Fear and Loathing in Data Science”)
(Updated 2016-05-08, to provide reference for plateaus of ML functions in vicinity of MLE.) Simpson’s Paradox is one of those phenomena of data which really give Statistics a substance and a role, beyond the roles it inherits from, say, theoretical … Continue reading
Posted in Akaike Information Criterion, approximate Bayesian computation, Bayes, Bayesian, evidence, Frequentist, games of chance, information theoretic statistics, Kalman filter, likelihood-free, mathematics, maths, maximum likelihood, Monte Carlo Statistical Methods, probabilistic programming, rationality, Rauch-Tung-Striebel, Simpson's Paradox, state-space models, statistical dependence, statistics, stochastics
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Thoughts on “Regime Shift?”
John Baez at The Azimuth Project opened a discussion on the recent paper by Reid, et al Philip C. Reid et al, Global impacts of the 1980s regime shift on the Earth’s climate and systems, Global Change Biology, 2015. I … Continue reading
Comprehensive and compact tutorial on Petris’ DLM package in R; with an update about Helske’s KFAS
A blogger named Lalas produced on Quantitative Thoughts a very comprehensive and compact tutorial on the R package dlm by Petris. I use dlm a lot. Unfortunately, Lalas does not give details on how the SVD is used. They do … Continue reading
Posted in Bayes, Bayesian, dynamic linear models, dynamical systems, forecasting, Kalman filter, mathematics, maths, multivariate statistics, numerical software, open source scientific software, prediction, R, Rauch-Tung-Striebel, state-space models, statistics, stochastic algorithms, SVD, time series
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