667 per centimeter : climate science, quantitative biology, statistics, and energy policy
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Category Archives: STNG

“Why we need Jean-Luc Picard in 2018”

Posted on 19 August 2018 by ecoquant

Admiral Picard is returning. See the story, by Daniel W Drezner. On CBS All Access. Yes, “Make it so.”

Posted in American Association for the Advancement of Science, Bloomberg New Energy Finance, Buckminster Fuller, humanism, Jean-Luc Picard, Mathematics and Climate Research Network, open source scientific software, Our Children's Trust, Patrick Stewart, Principles of Planetary Climate, reason, reasonableness, science, Spaceship Earth, Star Trek, Star Trek - The Next Generation, STNG, The Demon Haunted World, the Final Frontier, tragedy of the horizon | Leave a comment
  • Distributed Solar: The Democratizaton of Energy

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    • Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
    • WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
    • Mertonian norms
    • Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
    • Karl Broman
    • Mrooijer's Numbers R 4Us
    • Rasmus Bååth's Research Blog Bayesian statistics and data analysis
    • Leadership lessons from Lao Tzu
    • International Society for Bayesian Analysis (ISBA)
    • 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/.
    • Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
    • Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
    • Dollars per BBL: Energy in Transition
    • John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
    • All about Sankey diagrams
    • Awkward Botany
    • Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
    • London Review of Books
    • Woods Hole Oceanographic Institution (WHOI)
    • The Alliance for Securing Democracy dashboard
    • ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
    • South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
    • Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
    • American Association for the Advancement of Science (AAAS)
    • Professor David Draper
    • Dr James Spall's SPSA
    • Gavin Simpson
    • Harvard's Project Implicit
    • Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
    • American Statistical Association
    • John Cook's reasons to use Bayesian inference
    • Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
    • Number Cruncher Politics
    • Label Noise
    • 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.
    • Carl Safina's blog One of the wisest on Earth
    • 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.
    • 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.
    • The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
    • Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
    • "The Expert"
    • 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.
    • "Perpetual Ocean" from NASA GSFC
    • 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
    • NCAR AtmosNews
    • 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”
    • Los Alamos Center for Bayesian Methods
    • James' Empty Blog
    • Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
    • All about models
  • climate change

    • "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 Scientific Case for Modern Human-caused Global Warming
    • US$165/tonne CO2: Sweden Sweden has a Carbon Dioxide tax of US$165 per tonne at present. CO2 tax was imposed in 1991. GDP has grown 60%.
    • Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
    • Thriving on Low Carbon
    • History of discovering Global Warming From the American Institute of Physics.
    • "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.
    • Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
    • Reanalyses.org
    • Berkeley Earth Surface Temperature
    • Agendaists Eli Rabett’s coining of a phrase
    • 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
    • `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
    • An open letter to Steve Levitt
    • 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.
    • The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
    • Solar Gardens Community Power
    • Wally Broecker on climate realism
    • Skeptical Science
    • "A field guide to the climate clowns"
    • Grid parity map for Solar PV in United States
    • weather blocking patterns
    • The Green Plate Effect Eli Rabett’s “The Green Plate Effect”
    • 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.
    • Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
    • The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
    • Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
    • "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.
    • “The discovery of global warming'' (American Institute of Physics)
    • And Then There's Physics
    • Eli on the spectroscopic basis of atmospheric radiation physical chemistry
    • Sir David King David King’s perspective on climate, and the next thousands of years for humanity
    • Risk and Well-Being
    • Earth System 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.
    • `Who to believe on climate change': Simple checks By Bart Verheggen
    • James Powell on sampling the climate consensus
    • Climate impacts on retail and supply chains
    • Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
    • "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
    • SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
    • Interview with Wally Broecker Interview with Wally Broecker
    • "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 science is setttled enough"
    • Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
    • Exxon-Mobil statement on UNFCCC COP21
    • SolarLove
    • Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
    • 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.
    • Simple models of climate change
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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
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