667 per centimeter : climate science, quantitative biology, statistics, and energy policy
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Tag Archives: Google

Good news, and a beacon of progress, with hope for more to come

Posted on 14 September 2020 by ecoquant

That’s Sundar Pichai, CEO, Google and Alphabet. Ørsted : “Love your home”

Posted in afforestation, agrivoltaics, Alphabet, argoecology, Ørsted, being carbon dioxide, Bloomberg New Energy Finance, bridge to somewhere, Buckminster Fuller, carbon dioxide sequestration, climate change, climate disruption, climate education, climate mitigation, climate policy, ecocapitalism, ecomodernism, ecopragmatism, electricity, emissions, engineering, fossil fuel divestment, Global Carbon Project, global warming, global weirding, Green New Deal, greenhouse gases, keep fossil fuels in ground, leaving fossil fuels in the ground, Mark Jacobson, moral leadership, solar domination, solar energy, solar power, solar revolution, Sundar Pichai, sustainability, technology, the green century, wind energy, wind power, zero carbon | Tagged Alphabet, cumulative carbon emissions, ecomodernism, ecopragmatism, Google, solar domination, solar energy, solar pv, zero carbon energy | Leave a comment
  • Distributed Solar: The Democratizaton of Energy

  • Blogroll

    • AP Statistics: Sampling, by Michael Porinchak Twin City Schools
    • Gabriel's staircase
    • Mertonian norms
    • Slice Sampling
    • BioPython A collection of Python tools for quantitative Biology
    • ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
    • Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
    • SASB Sustainability Accounting Standards Board
    • 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
    • John Cook's reasons to use Bayesian inference
    • 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/
    • 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.
    • 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/.
    • Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
    • "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.
    • Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
    • International Society for Bayesian Analysis (ISBA)
    • American Statistical Association
    • The Alliance for Securing Democracy dashboard
    • Woods Hole Oceanographic Institution (WHOI)
    • Karl Broman
    • Earth Family Beta MIchael Osborne’s blog on Science and the like
    • Earle Wilson
    • Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
    • GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
    • Awkward Botany
    • Healthy Home Healthy Planet
    • James' Empty Blog
    • Gavin Simpson
    • Pat's blog While it is described as “The mathematical (and other) thoughts of a (now retired) math teacher”, this is false humility, as it chronicles the present and past life and times of mathematicians in their context. Recommended.
    • Risk and Well-Being
    • Leverhulme Centre for Climate Change Mitigation
    • The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
    • Busting Myths About Heat Pumps Heat pumps are perhaps the most efficient heating and cooling systems available. Recent literature distributed by utilities hawking natural gas and other sources use performance figures from heat pumps as they were available 15 years ago. See today’s.
    • 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
    • Professor David Draper
    • 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
    • Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
    • Carl Safina's blog One of the wisest on Earth
    • 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.”
    • American Association for the Advancement of Science (AAAS)
    • Harvard's Project Implicit
    • Los Alamos Center for Bayesian Methods
    • John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
    • Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
    • Ted Dunning
    • Ives and Dakos techniques for regime changes in series
    • Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
  • climate change

    • "Getting to the Energy Future We Want," Dr Steven Chu
    • 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 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.
    • History of discovering Global Warming From the American Institute of Physics.
    • MIT's Climate Primer
    • Jacobson WWS literature index
    • "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.)
    • Berkeley Earth Surface Temperature
    • Grid parity map for Solar PV in United States
    • 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.
    • Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
    • "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
    • ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
    • Jacobson WWS literature index
    • Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
    • World Weather Attribution
    • 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
    • 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
    • Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
    • Eli on the spectroscopic basis of atmospheric radiation physical chemistry
    • On Thomas Edison and Solar Electric Power
    • Earth System Models
    • "Climate science is setttled enough"
    • Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
    • All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
    • 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
    • "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.
    • Nick Bower's "Scared Scientists"
    • Skeptical Science
    • Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
    • Risk and Well-Being
    • Solar Gardens Community Power
    • Wally Broecker on climate realism
    • Climate Change Reports By John and Mel Harte
    • Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
    • "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
    • Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
    • Reanalyses.org
    • The Sunlight Economy
    • Professor Robert Strom's compendium of resources on climate change Truly excellent
    • Climate impacts on retail and supply chains
    • Climate at a glance Current state of the climate, from NOAA
    • Climate Change Denying Organizations
    • Climate model projections versus observations
    • Bloomberg interactive graph on “What's warming the world''
    • An open letter to Steve Levitt
    • Interview with Wally Broecker Interview with Wally Broecker
    • “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
    • Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
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  • Goodreads

  • Kalman filtering and smoothing; dynamic linear models



    Also, see datasets and R examples to accompany this excellent text.





    I have used dlm almost exclusively, except when extreme efficiency was required. Since Jouni Helske's KFAS was rewritten, though, I'm increasingly drawn to it, because the noise sources it supports are more diverse than dlm's. KFAS uses the notation and approaches of Durbin, Koopman, and Harvey.

    ``The real problem is that programmers have spent far too much time worrying about efficiency in the wrong places and at the wrong times; premature optimization is the root of all evil (or at least most of it) in programming.''
    Professor Donald Knuth, 1974
667 per centimeter : climate science, quantitative biology, statistics, and energy policy
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