Category Archives: random walk processes

Carbon Sinks in Crisis — It Looks Like the World’s Largest Rainforest is Starting to Bleed Greenhouse Gasses

Originally posted on robertscribbler:
Back in 2005, and again in 2010, the vast Amazon rainforest, which has been aptly described as the world’s lungs, briefly lost its ability to take in atmospheric carbon dioxide. Its drought-stressed trees were not growing…

Posted in bifurcations, carbon dioxide, carbon dioxide sequestration, changepoint detection, climate, climate change, climate disruption, disruption, dynamical systems, environment, exponential growth, fossil fuels, geophysics, global warming, IPCC, Lévy flights, Lorenz, Minsky moment, model-free forecasting, physics, population biology, population dynamics, Principles of Planetary Climate, quantitative biology, quantitative ecology, random walk processes, Ray Pierrehumbert, reason, reasonableness, regime shifts, risk, Stefan Rahmstorf, the right to be and act stupid, the tragedy of our present civilization, UU Humanists | 2 Comments

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

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 walk in a parameter space. … 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 | Leave a comment