Category Archives: diffusion

“Seasonality of COVID-19, Other Coronaviruses, and Influenza” (from Radford Neal’s blog)

Thorough review with documentation and technical criticism of claims of COVID-19 seasonality or its lack. Whichever way this comes down, the links are well worth the visit! Will the incidence of COVID-19 decrease in the summer? There is reason to … Continue reading

Posted in COVID-19, differential equations, diffusion, diffusion processes, epidemiology, Lotka-Volterra systems, meteorology, pandemic, population biology, population dynamics, Radford Neal, SARS-CoV-2, statistics | Leave a comment

Reanalysis of business visits from deployments of a mobile phone app

Updated, 20th October 2020 This reports a reanalysis of data from the deployment of a mobile phone app, as reported in: M. Yauck, L.-P. Rivest, G. Rothman, “Capture-recapture methods for data on the activation of applications on mobile phones“, Journal … Continue reading

Posted in Bayesian computational methods, biology, capture-mark-recapture, capture-recapture, Christian Robert, count data regression, cumulants, diffusion, diffusion processes, Ecological Society of America, ecology, epidemiology, experimental science, field research, Gibbs Sampling, Internet measurement, Jean-Michel Marin, linear regression, mark-recapture, mathematics, maximum likelihood, Monte Carlo Statistical Methods, multilist methods, multivariate statistics, non-mechanistic modeling, non-parametric statistics, numerics, open source scientific software, Pierre-Simon Laplace, population biology, population dynamics, quantitative biology, quantitative ecology, R, R statistical programming language, sampling, sampling algorithms, segmented package in R, statistical ecology, statistical models, statistical regression, statistical series, statistics, stepwise approximation, stochastic algorithms, surveys, V. M. R. Muggeo | 1 Comment

“Oh no, not again” (from ATTP)

Response to a paper by Hermann Harde, from Ken Rice at … And Then There’s Physics. Dr Rice cites two other responses as well: One by Gavin Schmidt at RealClimate. One from 2011 by Gavin Cawley from the University of … Continue reading

Posted in American Association for the Advancement of Science, American Meteorological Association, American Statistical Association, AMETSOC, atmosphere, being carbon dioxide, Carbon Cycle, carbon dioxide, chemistry, climate, climate disruption, climate education, Climate Lab Book, David Archer, diffusion, diffusion processes, fossil fuels, geophysics, Global Carbon Project, greenhouse gases, ignorance, physics, Principles of Planetary Climate, Ray Pierrehumbert, science, science education | Leave a comment

You really can’t go home again: An update of “Getting back to 350 ppm CO2 …”

I have made an important update to an earlier post here, Getting back to 350 ppm CO2: You can’t go home again. The message, essentially based upon recent work Tokarska and Zickfield on one hand, and by The Global Carbon … Continue reading

Posted in American Association for the Advancement of Science, Anthropocene, bridge to nowhere, Buckminster Fuller, Carbon Cycle, carbon dioxide, carbon dioxide capture, Carbon Worshipers, clear air capture of carbon dioxide, climate, climate business, climate change, climate data, climate disruption, climate economics, David Archer, diffusion, diffusion processes, ecological services, Eli Rabett, engineering, environment, fossil fuel divestment, fossil fuel infrastructure, fossil fuels, games of chance, geoengineering, geophysics, Glen Peters, Global Carbon Project, global warming, greenhouse gases, Hyper Anthropocene, Principles of Planetary Climate, Ray Pierrehumbert, science, Spaceship Earth, Susan Solomon, Svante Arrhenius, the tragedy of our present civilization, Tokarska and Zickfield, Wordpress, zero carbon | 3 Comments

Global Carbon Dioxide in 3D

Your CO2, my CO2 doesn’t remain with you or me, but mixes broadly and thoroughly over the planet at large. So, we all share responsibility for the damage. Credit: NASA And brought to you by OCO-2.

Posted in American Association for the Advancement of Science, American Meteorological Association, AMETSOC, Anthropocene, atmosphere, carbon dioxide, Carbon Worshipers, civilization, climate, climate change, climate data, climate disruption, corporate litigation on damage from fossil fuel emissions, diffusion, diffusion processes, Donald Trump, dynamical systems, ecology, environment, fluid eddies, geophysics, global warming, greenhouse gases, Hyper Anthropocene, NASA, NCAR | Leave a comment

Getting back to 350 ppm CO2: You can’t go home again

(Update of this piece, included below.) (Major update of this piece included below.) You can’t. It’ll cost much more than 23 times 40 times the Gross World Product to do it. And, in any case, you need to go to … Continue reading

Posted in adaptation, American Association for the Advancement of Science, Anthropocene, atmosphere, bollocks, bridge to nowhere, Carbon Cycle, carbon dioxide, carbon dioxide capture, carbon dioxide sequestration, Carbon Worshipers, chemistry, clear air capture of carbon dioxide, climate, climate change, climate disruption, climate economics, corporate litigation on damage from fossil fuel emissions, David Archer, diffusion, diffusion processes, ecological services, ecology, economics, engineering, environment, environmental law, fossil fuels, geoengineering, global warming, greenhouse gases, Hyper Anthropocene, leaving fossil fuels in the ground, methane, Our Children's Trust, physics, rationality, reason, reasonableness, science, Spaceship Earth, the right to be and act stupid, Wally Broecker, zero carbon | 9 Comments

Repaired R code for Markov spatial simulation of hurricane tracks from historical trajectories

(Slight update, 28th June 2020.) I’m currently studying random walk and diffusion processes and their connections with random fields. I’m interested in this because at the core of dynamic linear models, Kalman filters, and state-space methods there is a random … Continue reading

Posted in American Meteorological Association, American Statistical Association, AMETSOC, Arthur Charpentier, atmosphere, diffusion, diffusion processes, dynamic linear models, dynamical systems, environment, geophysics, hurricanes, Kalman filter, Kerry Emanuel, Lévy flights, Lorenz, Markov chain random fields, mathematics, mathematics education, maths, MCMC, mesh models, meteorological models, meteorology, model-free forecasting, Monte Carlo Statistical Methods, numerical analysis, numerical software, oceanography, open data, open source scientific software, physics, random walk processes, random walks, science, spatial statistics, state-space models, statistical dependence, statistics, stochastic algorithms, stochastics, time series | 1 Comment

“Solar power is contagious. These maps show how it spreads.” (from Vox)

Brad Plumer at Vox writes on take-up patterns of rooftop solar based upon a large dataset from SolarCity. The full article is available at the SolarCity site. Mr Plumer combines it with a report on other studies of solar adoption … Continue reading

Posted in Bloomberg New Energy Finance, BNEF, business, clean disruption, decentralized electric power generation, decentralized energy, demand-side solutions, destructive economic development, diffusion, diffusion processes, disruption, distributed generation, economics, electricity markets, energy, energy utilities, exponential growth, grid defection, investment in wind and solar energy, local generation, Peter Diggle, point pattern analysis, public utility commissions, PUCs, rate of return regulation, regulatory capture, sociology, solar domination, solar energy, solar power, SolarPV.tv, spatial statistics, statistics, stochastics, the energy of the people, the green century, utility company death spiral, zero carbon | Leave a comment

reblog: “The Big 3: CO2, CH4, N2O”, from Tamino

Originally posted on Open Mind:
The four greenhouse gases with the strongest effect on climate through their climate forcing are water vapor (H2O), carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) (I’m omitting halocarbons, which come in a wide…

Posted in Anthropocene, carbon dioxide, chemistry, climate, climate change, climate data, climate disruption, di-nitrogen oxide, diffusion, geophysics, Hyper Anthropocene, methane, mitigation, science, Tamino, water vapor | Leave a comment

Phytoplankton-delineated oceanic eddies near Antarctica

Excerpt, from NASA: Phytoplankton are the grass of the sea. They are floating, drifting, plant-like organisms that harness the energy of the Sun, mix it with carbon dioxide that they take from the atmosphere, and turn it into carbohydrates and … Continue reading

Posted in AMETSOC, Antarctica, Arctic, bacteria, Carbon Cycle, complex systems, differential equations, diffusion, diffusion processes, dynamic linear models, dynamical systems, Emily Shuckburgh, environment, fluid dynamics, geophysics, GLMs, John Marshall, marine biology, Mathematics and Climate Research Network, NASA, numerical analysis, numerical software, oceanic eddies, oceanography, physics, phytoplankton, science, thermohaline circulation, WHOI, Woods Hole Oceanographic Institution | Leave a comment

Massachusetts Solar Suburbs (a Google group)

I have just created the Massachusetts Solar Suburbs Google group. It’s Welcome Message reads: Welcome to the Massachusetts Solar Suburbs! This group exists to provide a forum for owners of solar installations, typically residential, or serving residences, to share their … Continue reading

Posted in adaptation, Anthropocene, Carbon Tax, Carbon Worshipers, citizenship, civilization, clean disruption, climate, climate change, climate disruption, corporate litigation on damage from fossil fuel emissions, decentralized electric power generation, decentralized energy, destructive economic development, diffusion, diffusion processes, economics, education, efficiency, energy, energy reduction, energy utilities, engineering, environment, ethics, fear uncertainty and doubt, fossil fuel divestment, fossil fuels, global warming, Google, greenhouse gases, Hyper Anthropocene, investing, investment in wind and solar energy, MA, meteorology, microgrids, optimization, physics, planning, politics, public utility commissions, rationality, reasonableness, risk, Sankey diagram, solar energy, solar power, SolarPV.tv, sustainability, Tony Seba, wind energy, wind power, zero carbon | Leave a comment

El Nino In A Can – Dan’s Wild Wild Science Journal – AGU Blogosphere

Click the image above to see a video from the GFDL CM2.6 climate model. This is NOT this year’s El Nino. When you start a climate model in which the ocean and the land and atmosphere can inte… Source: El … Continue reading

Posted in AMETSOC, astrophysics, climate, climate change, climate models, computation, Dan Satterfield, differential equations, diffusion, diffusion processes, dynamical systems, ENSO, environment, forecasting, geophysics, global warming, Hyper Anthropocene, Kerry Emanuel, mathematics, maths, mesh models, meteorology, model comparison, NASA, NCAR, NOAA, numerical analysis, oceanography, physics, Principles of Planetary Climate, rationality, Ray Pierrehumbert, reasonableness, science, Spaceship Earth, stochastics, supercomputers, the right to know, thermodynamics, time series | Leave a comment

On infrared radiation and Earth temperature

Good to review the basics once again. Professors Dave Archer and Ray Pierrehumbert do, in my opinion, some of the best introductions: Infrared radiation and planetary temperature.

Posted in astrophysics, carbon dioxide, climate, climate change, climate models, David Archer, differential equations, diffusion, diffusion processes, environment, evidence, geophysics, global warming, greenhouse gases, meteorology, methane, oceanography, physics, Principles of Planetary Climate, rationality, Ray Pierrehumbert, reasonableness, science, Svante Arrhenius | Leave a comment

On differential localization of tumors using relative concentrations of ctDNA. Part 2.

Part 1 of this series introduced the idea of ctDNA and its use for detecting cancers or their resurgence, and proposed a scheme whereby relative concentrations of ctDNA at two or more sites after controlled disturbance might be used to … Continue reading

Posted in Bayes, Bayesian, Bayesian inversion, cancer research, ctDNA, differential equations, diffusion, diffusion processes, engineering, linear algebra | 1 Comment

Rabett Run reprises the Carbon Cycle … and very well, too

Eli condenses the problem with the Carbon Cycle and excessive emissions of fossil fuel CO2 to a few paragraphs, a great figure, and a trio of linear differential equations.

Posted in astrophysics, Carbon Cycle, carbon dioxide, climate, climate disruption, conservation, differential equations, diffusion, dynamical systems, ecology, environment, fossil fuels, geophysics, global warming, meteorology, oceanography, physics, Principles of Planetary Climate, rationality, science, time series | Leave a comment

On differential localization of tumors using relative concentrations of ctDNA. Part 1.

Like most mammalian tissue, tumors often produce shards of DNA as a byproduct of cell death and fracture. This circulating tumor DNA is being studied as a means of detecting tumors or their resurgence after treatment. (See also a Q&A … Continue reading

Posted in approximate Bayesian computation, Bayesian, Bayesian inversion, cardiovascular system, diffusion, dynamic linear models, eigenanalysis, engineering, forecasting, mathematics, maths, medicine, networks, prediction, spatial statistics, statistics, stochastic algorithms, stochastic search, wave equations | 3 Comments