Category Archives: Bayesian model averaging

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 | Leave a comment

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 | Leave a comment

Less evidence for a global warming hiatus, and urging more use of Bayesian model averaging in climate science

(This post has been significantly updated midday 15th February 2018.) I’ve written about the supposed global warming hiatus of 2001-2014 before: “‘Overestimated global warming over the past 20 years’ (Fyfe, Gillett, Zwiers, 2013)”, 28 August 2013 “Warming Slowdown?”, Azimuth, Part … Continue reading

Posted in American Statistical Association, Andrew Parnell, anomaly detection, Anthropocene, Bayesian, Bayesian model averaging, Berkeley Earth Surface Temperature project, BEST, climate change, David Spiegelhalter, dependent data, Dublin, GISTEMP, global warming, Grant Foster, HadCRUT4, hiatus, Hyper Anthropocene, JAGS, Markov Chain Monte Carlo, Martyn Plummer, Mathematics and Climate Research Network, MCMC, model-free forecasting, Niamh Cahill, Significance, statistics, Stefan Rahmstorf, Tamino | 2 Comments