Category Archives: catastrophe modeling

Keep fossil fuels in the ground

Posted on 20 April 2020 by ecoquant

Ah, wouldn’t it be lovely!? Is this the beginning of the Minsky Moment Mark Carney has feared? In short, that was because the trading markets had not priced in (a) the risks from climate change, and (b) the risks from … Continue reading →

Posted in Anthropocene, being carbon dioxide, catastrophe modeling, clean disruption, climate change, climate disruption, climate economics, climate policy, Cult of Carbon, fossil fuel divestment, fossil fuels, Mark Carney, Minsky moment | Leave a comment

On odds of storms, and extreme precipitation

Posted on 20 December 2019 by ecoquant

People talk about “thousand year storms”. Rather than being a storm having a recurrence time of once in a thousand years, these are storms which have a 0.001 chance per year of occurring. Storms aren’t the only weather events of … Continue reading →

Posted in American Meteorological Association, American Statistical Association, AMETSOC, catastrophe modeling, climate disruption, climate economics, climate education, ecopragmatism, evidence, extreme events, extreme value distribution, flooding, floods, games of chance, global warming, global weirding, insurance, meteorological models, meteorology, R, R statistical programming language, real estate values, risk, Risky Business, riverine flooding, science, Significance | Leave a comment

“The financial crash and the climate crisis” (The New Yorker Radio Hour)

Posted on 19 October 2019 by ecoquant

A great podcast episode. Check out the thoughts of the late Professor Martin Weitzman as well, in “The man who got economists to take climate nightmares seriously“.

Posted in American Statistical Association, an uncaring American public, Anthropocene, being carbon dioxide, bifurcations, bridge to nowhere, Buckminster Fuller, Carbon Cycle, carbon dioxide, Carbon Worshipers, catastrophe modeling, climate change, climate disruption, climate economics, climate grief, climate justice, climate mitigation, climate nightmares, climate policy, climate zombies, coastal investment risks, flooding, floods, Florida, global warming, global weirding, home resale values, Hyper Anthropocene, objective reality, oceans, Robert Young, Scituate, shorelines, Sir David King, temporal myopia, the tragedy of our present civilization, the value of financial assets, unreason | Leave a comment

CBRA is awesome!

Posted on 15 August 2019 by ecoquant

Hat tip to Professor Rob Young and Audubon for a great newsfilm.

Posted in Anthropocene, Association to Preserve Cape Cod, being carbon dioxide, bridge to somewhere, Cape Cod, carbon dioxide, Carbon Worshipers, catastrophe modeling, climate disruption, climate economics, coastal communities, coastal investment risks, coasts, Commonwealth of Massachusetts, destructive economic development, ecological disruption, ecomodernism, economic trade, ecopragmatism, flooding, floods, fossil fuels, global warming, greenhouse gases, home resale values, Humans have a lot to answer for, hurricanes, hydrology, Hyper Anthropocene, leaving fossil fuels in the ground, life cycle sustainability analysis, living shorelines, ocean warming, Robert Young, science, science education, stream flow, sustainable landscaping, the right to know, the tragedy of our present civilization, the value of financial assets, tragedy of the horizon, unreason, UU, UU Mass Action, UU Ministry for Earth, UU Needham, Wally Broecker, wishful environmentalism, Woods Hole Oceanographic Institution, zero carbon, ``The tide is risin'/And so are we'' | Leave a comment

Result of our own fiddling: Bob Watson and climate risk

Posted on 20 March 2019 by ecoquant

https://sms.cam.ac.uk/media/746045 Professor Bob Watson, University of East Anglia, presents the summary risk, climate change: The question is not whether the Earth’s climate will change in response to human activities, but when, where and by how much. Human activities are changing … Continue reading →

Posted in Anthropocene, attribution, carbon dioxide, Carbon Worshipers, catastrophe modeling, climate, climate change, climate data, climate disruption, climate economics, climate education, climate grief, climate justice, ecological disruption, ecology, Ecology Action, environment, global blinding, global warming, greenhouse gases, greenwashing, meteorology, National Center for Atmospheric Research, non-parametric model, Principles of Planetary Climate, radiative forcing, reasonableness, science, solar democracy, solar domination, solar energy, Solar Freakin' Roadways, solar power, SolarPV.tv, Solpad, Sonnen community, Spaceship Earth, stranded assets, sustainability, the energy of the people, the green century, the tragedy of our present civilization, the value of financial assets, tragedy of the horizon, utility company death spiral, water, wind energy, wind power | Leave a comment

“Rising seas erode $15.8 billion in home value from Maine to Mississippi”

Posted on 2 March 2019 by ecoquant

From the First Street Foundation‘s press release, with selected figures below. This is based upon the methods described in: S. A. McAlpine, J. R. Porter, “Estimating recent local impacts of Sea-Level Rise on current real-estate losses: A housing market case … Continue reading →

Posted in Anthropocene, catastrophe modeling, coastal communities, coastal investment risks, Commonwealth of Massachusetts, EBC-NE, flooding, floods, Hyper Anthropocene, risk, riverine flooding | Leave a comment

Sampling: Rejection, Reservoir, and Slice

Posted on 29 September 2018 by ecoquant

An article by Suilou Huang for catatrophe modeler AIR-WorldWide of Boston about rejection sampling in CAT modeling got me thinking about pulling together some notes about sampling algorithms of various kinds. There are, of course, books written about this subject, … Continue reading →

Posted in accept-reject methods, American Statistical Association, Bayesian computational methods, catastrophe modeling, data science, diffusion processes, empirical likelihood, Gibbs Sampling, insurance, Markov Chain Monte Carlo, mathematics, Mathematics and Climate Research Network, maths, Monte Carlo Statistical Methods, multivariate statistics, numerical algorithms, numerical analysis, numerical software, numerics, percolation theory, Python 3 programming language, R statistical programming language, Radford Neal, sampling, slice sampling, spatial statistics, statistics, stochastic algorithms, stochastic search | Leave a comment