Distributed Solar: The Democratizaton of Energy
Blogroll
- Harvard's Project Implicit
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- Los Alamos Center for Bayesian Methods
- Lenny Smith's CHAOS: A VERY SHORT INTRODUCTION This is a PDF version of Lenny Smith’s book of the same title, also available from Amazon.com
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- Woods Hole Oceanographic Institution (WHOI)
- All about models
- Mrooijer's Numbers R 4Us
- 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
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- Number Cruncher Politics
- Subsidies for wind and solar versus subsidies for fossil fuels
- 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
- "The Expert"
- NCAR AtmosNews
- Healthy Home Healthy Planet
- "Perpetual Ocean" from NASA GSFC
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- distributed solar and matching location to need
- 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.”
- Dollars per BBL: Energy in Transition
- London Review of Books
- SASB Sustainability Accounting Standards Board
- "Talking Politics" podcast David Runciman, Helen Thompson
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- Beautiful Weeds of New York City
- Dr James Spall's SPSA
- Mertonian norms
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- 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/.
- 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”
- 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,
- Ted Dunning
- Dominic Cummings blog Chief advisor to the PM, United Kingdom
- John Cook's reasons to use Bayesian inference
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- American Statistical Association
- 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
- Risk and Well-Being
- All about Sankey diagrams
- International Society for Bayesian Analysis (ISBA)
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
climate change
- Paul Beckwith Professor Beckwith is, in my book, one of the most insightful and analytical observers on climate I know. I highly recommend his blog, and his other informational products.
- 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
- "Getting to the Energy Future We Want," Dr Steven Chu
- SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- Grid parity map for Solar PV in United States
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- "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.
- `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- Reanalyses.org
- 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.
- Agendaists Eli Rabett’s coining of a phrase
- "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
- 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.
- Berkeley Earth Surface Temperature
- 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 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 discovery of global warming'' (American Institute of Physics)
- Documenting the Climate Deniarati at work
- RealClimate
- HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
- 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.
- Sir David King David King’s perspective on climate, and the next thousands of years for humanity
- Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
- Climate at a glance Current state of the climate, from NOAA
- Interview with Wally Broecker Interview with Wally Broecker
- Thriving on Low Carbon
- 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?
- MIT's Climate Primer
- "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.
- Climate Change Denying Organizations
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- 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%.
- weather blocking patterns
- 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
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- History of discovering Global Warming From the American Institute of Physics.
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- Jacobson WWS literature index
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- “Ways to [try to] slow the Solar Century''
- Sea Change Boston
- Mrooijer's Global Temperature Explorer
- Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
- 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
Archives
Jan Galkowski
Category Archives: Durbin and Koopman
Phase Plane plots of COVID-19 deaths with uncertainties
I. Introduction. It’s time to fulfill the promise made in “Phase plane plots of COVID-19 deaths“, a blog post from 2nd May 2020, and produce the same with uncertainty clouds about the functional trajectories(*). To begin, here are some assumptions … Continue reading
Posted in American Statistical Association, Andrew Harvey, anomaly detection, count data regression, COVID-19, dependent data, dlm package, Durbin and Koopman, dynamic linear models, epidemiology, filtering, forecasting, Kalman filter, LaTeX, model-free forecasting, Monte Carlo Statistical Methods, numerical algorithms, numerical linear algebra, population biology, population dynamics, prediction, R, R statistical programming language, regression, statistical learning, stochastic algorithms
Tagged prediction intervals
Leave a comment