### Distributed Solar: The Democratizaton of Energy

### Blogroll

- Number Cruncher Politics
- Bob Altemeyer on authoritarianism (via Dan Satterfield)
- ggplot2 and ggfortify
- All about models
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- Earle Wilson
- American Statistical Association
- Tony Seba
- "Impacts of Green New Deal energy plans on grid stability, costs, jobs, health, and climate in 143 countries" (Jacobson, Delucchi, Cameron, et al)
- Charlie Kufs' "Stats With Cats" blog

### 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)
- NOAA Annual Greenhouse Gas Index report
- The Scientific Case for Modern Human-caused Global Warming
- Eli on the spectroscopic basis of atmospheric radiation physical chemistry
- On Thomas Edison and Solar Electric Power
- Isaac Held's blog
- Climate model projections versus observations
- "Warming Slowdown?" (part 2 of 2)
- Climate Communication
- Climate impacts on retail and supply chains

### Archives

### Jan Galkowski

# Category Archives: ensemble models

## Calculating Derivatives from Random Forests

(Comment on prediction intervals for random forests, and links to a paper.) (Edits to repair smudges, 2020-06-28, about 0945 EDT. Closing comment, 2020-06-30, 1450 EDT.) There are lots of ways of learning about mathematical constructs, even about actual machines. One … Continue reading

Posted in bridge to somewhere, Calculus, dependent data, dynamic generalized linear models, dynamical systems, ensemble methods, ensemble models, filtering, forecasting, hierarchical clustering, linear regression, model-free forecasting, Monte Carlo Statistical Methods, non-mechanistic modeling, non-parametric model, non-parametric statistics, numerical algorithms, prediction, R statistical programming language, random forests, regression, sampling, splines, statistical learning, statistical series, statistics, time derivatives, time series
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## climate model democracy

“One of the most interesting things about the MIP ensembles is that the mean of all the models generally has higher skill than any individual model.” We hold these truths to be self-evident, that all models are created equal, that … Continue reading

Posted in American Association for the Advancement of Science, American Meteorological Association, American Statistical Association, AMETSOC, Anthropocene, attribution, Bayesian model averaging, Bloomberg, citizen science, climate, climate business, climate change, climate data, climate disruption, climate education, climate justice, Climate Lab Book, climate models, coastal communities, coastal investment risks, complex systems, differential equations, disruption, dynamic linear models, dynamical systems, ecology, emergent organization, ensemble methods, ensemble models, ensembles, Eric Rignot, evidence, fear uncertainty and doubt, FEMA, forecasting, free flow of labor, global warming, greenhouse gases, greenwashing, Humans have a lot to answer for, Hyper Anthropocene, Jennifer Francis, Joe Romm, Kevin Anderson, Lévy flights, LBNL, leaving fossil fuels in the ground, liberal climate deniers, mathematics, mathematics education, model-free forecasting, multivariate adaptive regression splines, National Center for Atmospheric Research, obfuscating data, oceanography, open source scientific software, optimization, perceptrons, philosophy of science, phytoplankton
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## forecast for 27th March 2018

Today is the 21st of March, 2018. We are supposed to get our fourth nor’easter tomorrow this late Winter, and the third nor’easter in nearly as many weeks. ECMWF hosted, in this incarnation, at the Meteocentre UQAM in Montreal created … Continue reading

Posted in American Association for the Advancement of Science, American Meteorological Association, American Statistical Association, AMETSOC, atmosphere, climate, climate change, climate disruption, climate education, climate models, coastal communities, ensemble methods, ensemble models, fluid dynamics, forecasting, global warming, Hyper Anthropocene, Mathematics and Climate Research Network, meteorological models, meteorology, numerical algorithms, physics, science, science education, spaghetti plots, tragedy of the horizon, water vapor
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## Sea-level report cards, contingency upon model character, and ensemble methods

Done by the Virginia Institute of Marine Science, new sea-level report cards offer a look at current sea-level rise rates, and projections. What’s interesting to me is making the projections conditional upon the character of the model used to project. … Continue reading

Posted in adaptation, American Association for the Advancement of Science, American Meteorological Association, American Statistical Association, AMETSOC, anomaly detection, Bayesian model averaging, changepoint detection, climate disruption, climate economics, climate education, coastal communities, coasts, dynamical systems, ensemble methods, ensemble models, flooding, geophysics, global warming, Grant Foster, Hyper Anthropocene, ice sheet dynamics, icesheets, living shorelines, meteorological models, nonlinear systems, prediction, sea level rise, shorelines, Skeptical Science, spaghetti plots, temporal myopia, the right to be and act stupid, the right to know, the value of financial assets, tragedy of the horizon
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## ‘Nuf said: Ensembles as descriptions of Bayesian space-time posterior densities

(UPDATED, 2017-09-09, 12:38 EDT) Click here to see just the latest update. An exercise in the appreciation of ensemble models. By the way, many of these charts were obtained courtesy of my subscription at Weather Underground. They are, as far … Continue reading