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

On oceanography

Posted on 16 September 2013 by ecoquant

On scientific field work and being nimble …. http://www.hydro-international.com/news/id6436-East_China_Seas_Physical_Oceanography_Explored.html

Posted in Uncategorized | Tagged climate, geophysics, oceanography, WHOI | Leave a comment
  • Distributed Solar: The Democratizaton of Energy

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    • The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
    • Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
    • BioPython A collection of Python tools for quantitative Biology
    • "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
    • International Society for Bayesian Analysis (ISBA)
    • 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
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    • 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
    • Leverhulme Centre for Climate Change Mitigation
    • ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
    • 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/
    • Subsidies for wind and solar versus subsidies for fossil fuels
    • "Talking Politics" podcast David Runciman, Helen Thompson
    • James' Empty Blog
    • Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
    • distributed solar and matching location to need
    • 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.
    • The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
    • Gavin Simpson
    • Giant vertical monopolies for energy have stopped making sense
    • Dominic Cummings blog Chief advisor to the PM, United Kingdom
    • AP Statistics: Sampling, by Michael Porinchak Twin City Schools
    • All about Sankey diagrams
    • 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.
    • Comprehensive Guide to Bayes Rule
    • 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.
    • OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
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    • "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.
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    • 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
    • Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
    • Thaddeus Stevens quotes As I get older, I admire this guy more and more
    • 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/.
  • climate change

    • Grid parity map for Solar PV in United States
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    • All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
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    • Eli on the spectroscopic basis of atmospheric radiation physical chemistry
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    • 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
    • The Scientific Case for Modern Human-caused Global Warming
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    • Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
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    • 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.
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    • Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
    • "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.
    • ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
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    • 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
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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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