Category Archives: Egbert van Nes

Liang, information flows, causation, and convergent cross-mapping

Someone recommended the work of Liang recently in connection with causation and attribution studies, and their application to CO2 and climate change. Liang’s work is related to information flows and transfer entropies. As far as I know, the definitive work … Continue reading

Posted in Akaike Information Criterion, American Association for the Advancement of Science, Anthropocene, attribution, carbon dioxide, climate, climate change, climate disruption, complex systems, convergent cross-mapping, ecology, Egbert van Nes, Ethan Deyle, Floris Takens, George Sughihara, global warming, Hao Ye, Hyper Anthropocene, information theoretic statistics, Lenny Smith, model-free forecasting, nonlinear systems, physics, statistics, Takens embedding theorem, theoretical physics, Timothy Lenton, Victor Brovkin | Leave a comment

On generating close to point of consumption

I’ve written about Sankey diagrams before, and Professor Kevin Anderson appeals to them to promote demand reduction as a powerful pathway to reducing Carbon emissions. But the overheads associated with transmission and distribution affect large scale generation of solar and … Continue reading

Posted in adaptation, Anthropocene, bridge to nowhere, Cape Wind, citizenship, clean disruption, conservation, consumption, decentralized electric power generation, decentralized energy, demand-side solutions, destructive economic development, distributed generation, economics, efficiency, Egbert van Nes, electricity, electricity markets, energy, energy reduction, energy utilities, engineering, environment, evidence, fossil fuel divestment, greenwashing, Hyper Anthropocene, ignorance, investment in wind and solar energy, Kevin Anderson, local generation, maths, microgrids, public utility commissions, PUCs, rate of return regulation, rationality, reasonableness, regulatory capture, Sankey diagram, solar energy, solar power, sustainability, Tony Seba, wind energy, wind power, zero carbon | 1 Comment

“Causal feedbacks in climate change”

Today I was reviewing and re-reading the nonlinear time series technical literature I have, seeking ideas on how to go about using the statistical ensemble learning technique called “boosting” with them. (See the very nice book, R. E. Schapire, Y. … Continue reading

Posted in Anthropocene, boosting, Carbon Cycle, carbon dioxide, Carbon Worshipers, cat1, climate, climate change, climate data, climate disruption, complex systems, convergent cross-mapping, denial, differential equations, diffusion processes, dynamical systems, ecology, Egbert van Nes, empirical likelihood, ensembles, environment, Ethan Deyle, Floris Takens, forecasting, fossil fuels, geophysics, George Sughihara, global warming, greenhouse gases, Hao Ye, machine learning, Maren Scheffer, mathematics, maths, meteorology, physics, rationality, reasonableness, science, state-space models, Takens embedding theorem, time series, Timothy Lenton, Victor Brovkin | 2 Comments