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Category Archives: Jane Lubchenco

`Environmental science in a post-truth world’ (Lubchenco and Kammen)

Posted on 1 February 2017 by ecoquant

Jane Lubchenco is a Professor at Oregon State University, and was administrator of the U.S. NOAA from 2009 through 2013, the U.S. Science Envoy for the Ocean at the State Department from 2014 to 2016, and the president of the … Continue reading →

Posted in Akaike Information Criterion, American Association for the Advancement of Science, American Statistical Association, being carbon dioxide, Buckminster Fuller, climate, climate change, coastal communities, coasts, ecological services, ecology, environment, environmental law, evidence, global warming, Humans have a lot to answer for, Hyper Anthropocene, ignorance, Jane Lubchenco, marine biology, mass extinctions, population biology, population dynamics, quantitative biology, quantitative ecology, risk, science, Spaceship Earth, sustainability, T'kun Olam, temporal myopia, the tragedy of our present civilization | Leave a comment
  • Distributed Solar: The Democratizaton of Energy

  • Blogroll

    • 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.
    • Leadership lessons from Lao Tzu
    • distributed solar and matching location to need
    • Subsidies for wind and solar versus subsidies for fossil fuels
    • NCAR AtmosNews
    • 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
    • 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.
    • Number Cruncher Politics
    • The Plastic Pick-Up: Discovering new sources of marine plastic pollution
    • Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
    • The Alliance for Securing Democracy dashboard
    • All about Sankey diagrams
    • "Perpetual Ocean" from NASA GSFC
    • Dollars per BBL: Energy in Transition
    • 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”
    • London Review of Books
    • Gabriel's staircase
    • Ted Dunning
    • WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
    • Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
    • Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
    • "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
    • Carl Safina's blog One of the wisest on Earth
    • James' Empty Blog
    • Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
    • Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
    • OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
    • 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/.
    • Harvard's Project Implicit
    • Gavin Simpson
    • Leverhulme Centre for Climate Change Mitigation
    • John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
    • 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.”
    • Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
    • Mrooijer's Numbers R 4Us
    • Rasmus Bååth's Research Blog Bayesian statistics and data analysis
    • 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.
    • 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.
    • Dominic Cummings blog Chief advisor to the PM, United Kingdom
    • 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/
    • Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
    • 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.
    • Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
    • 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
    • AP Statistics: Sampling, by Michael Porinchak Twin City Schools
    • "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.
    • Awkward Botany
    • Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
    • GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
    • Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
  • climate change

    • "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.
    • `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
    • “Ways to [try to] slow the Solar Century''
    • Jacobson WWS literature index
    • Andy Zucker's "Climate Change and Psychology"
    • 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.
    • Thriving on Low Carbon
    • "Getting to the Energy Future We Want," Dr Steven Chu
    • The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
    • `Who to believe on climate change': Simple checks By Bart Verheggen
    • 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.
    • Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
    • Nick Bower's "Scared Scientists"
    • Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
    • Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
    • Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
    • David Appell's early climate science
    • Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
    • Risk and Well-Being
    • Simple models of climate change
    • Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
    • Mrooijer's Global Temperature Explorer
    • Eli on the spectroscopic basis of atmospheric radiation physical chemistry
    • Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
    • 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.
    • 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.
    • Jacobson WWS literature index
    • Warming slowdown discussion
    • HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
    • The Green Plate Effect Eli Rabett’s “The Green Plate Effect”
    • RealClimate
    • Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
    • SolarLove
    • MIT's Climate Primer
    • World Weather Attribution
    • Ice and Snow
    • Sir David King David King’s perspective on climate, and the next thousands of years for humanity
    • The Scientific Case for Modern Human-caused Global Warming
    • "Climate science is setttled enough"
    • Earth System Models
    • Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
    • ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
    • “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
    • "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.
    • 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
    • James Powell on sampling the climate consensus
    • Wally Broecker on climate realism
    • Grid parity map for Solar PV in United States
    • NOAA Annual Greenhouse Gas Index report The annual assessment by the National Oceanic and Atmospheric Administration of the radiative forcing from constituent atmospheric greenhouse gases
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  • Jan Galkowski

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    • thanks DT for making the case for solar and EVs and NOT oil 20 March 2026
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    • NOAA climate assessment which has been taken off the federal site 13 August 2025
    • Fast-Track Review of Latest Evidence for Whether Greenhouse Gas Emissions Endanger Public Health and Welfare 7 August 2025
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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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