Distributed Solar: The Democratizaton of Energy
Blogroll
- Professor David Draper
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- All about models
- 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
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- 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.
- Mrooijer's Numbers R 4Us
- Ted Dunning
- Giant vertical monopolies for energy have stopped making sense
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- 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/
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- Carl Safina's blog One of the wisest on Earth
- International Society for Bayesian Analysis (ISBA)
- London Review of Books
- Mertonian norms
- distributed solar and matching location to need
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- Dominic Cummings blog Chief advisor to the PM, United Kingdom
- 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.
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- Woods Hole Oceanographic Institution (WHOI)
- SASB Sustainability Accounting Standards Board
- 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.
- Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
- Leadership lessons from Lao Tzu
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- Los Alamos Center for Bayesian Methods
- Comprehensive Guide to Bayes Rule
- Gavin Simpson
- 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/
- "Perpetual Ocean" from NASA GSFC
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- 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
- 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”
- Healthy Home Healthy Planet
- Number Cruncher Politics
- Harvard's Project Implicit
- 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
- Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
- Ives and Dakos techniques for regime changes in series
- Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
- American Statistical Association
- NCAR AtmosNews
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.
- “The discovery of global warming'' (American Institute of Physics)
- "Climate science is setttled enough"
- 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.
- Risk and Well-Being
- And Then There's Physics
- The Scientific Case for Modern Human-caused Global Warming
- James Powell on sampling the climate consensus
- Grid parity map for Solar PV in United States
- Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
- Simple models of climate change
- weather blocking patterns
- 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.
- Climate Change Denying Organizations
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- An open letter to Steve Levitt
- Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
- "A field guide to the climate clowns"
- 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.
- Climate model projections versus observations
- "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.
- Professor Robert Strom's compendium of resources on climate change Truly excellent
- Andy Zucker's "Climate Change and Psychology"
- Mrooijer's Global Temperature Explorer
- Social Cost of Carbon
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- "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.
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- Nick Bower's "Scared Scientists"
- The Sunlight Economy
- On Thomas Edison and Solar Electric Power
- Wally Broecker on climate realism
- History of discovering Global Warming From the American Institute of Physics.
- Climate impacts on retail and supply chains
- Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
- 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.
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- Agendaists Eli Rabett’s coining of a phrase
- 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.
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
- Jacobson WWS literature index
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- Ice and Snow
- `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- Bloomberg interactive graph on “What's warming the world''
- "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.
- Skeptical Science
- Interview with Wally Broecker Interview with Wally Broecker
- 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: deep learning
“Applications of Deep Learning to ocean data inference and subgrid parameterization”
This is another nail in the coffin of the claim I heard at last year’s Lorenz-Charney Symposium at MIT that machine learning methods would not make a serious contribution to advancements in the geophysical sciences. T. Bolton, L. Zanna, “Applications … Continue reading
Posted in American Meteorological Association, American Statistical Association, artificial intelligence, Azimuth Project, deep learning, deep recurrent neural networks, dynamical systems, geophysics, machine learning, Mathematics and Climate Research Network, National Center for Atmospheric Research, oceanography, oceans, science, stochastic algorithms
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ecoquant
667 per centimeter : climate science, quantitative biology, statistics, and energy policy 