Category Archives: climate models

“Predicting annual temperatures a year ahead” (Dr Gavin Schmidt at REALCLIMATE)

Dr Schmidt is essentially betting that the trend, seen as a random variable, will regress towards the smooth mean. I have a post at Nate Silver’s 538 site on how we can predict annual surface temperature anomalies based on El … Continue reading

Posted in American Meteorological Association, American Statistical Association, AMETSOC, anomaly detection, Anthropocene, changepoint detection, climate change, climate data, climate disruption, climate education, climate models, ecology, environment, forecasting, geophysics, global warming, Hyper Anthropocene, meteorology, oceanography, physics, regression toward the mean, science, statistics, time series | Leave a comment

Bastardi’s Bust

Famous climate denialist Joe Bastari of WeatherBELL Analytics LLC, formerly of Accuweather.com made a prediction on Arctic ice recovery back in 2010 (when at AccuWeather), and observations have since made his “studies” laughable. I have heard his colleague, Joseph D’Aleo … Continue reading

Posted in Accuweather, American Meteorological Association, anomaly detection, Anthropocene, Arctic, climate change, climate disruption, climate models, coasts, ecology, environment, evidence, global warming, Hyper Anthropocene, ice sheet dynamics, meteorology, NOAA, science denier, shorelines, statistics, Stefan Rahmstorf, the right to be and act stupid, the right to know, the stack of lies, the tragedy of our present civilization, time series | Leave a comment

“Full-depth Ocean Heat Content” reblog

This is a re-blog of an excellent post at And Then There’s Physics, titled Full-depth OHC or, expanded, “full-depth ocean heat content”. Since my holiday is now over, I thought I might briefly comment on a recent paper by Cheng … Continue reading

Posted in Anthropocene, climate, climate change, climate data, climate disruption, climate models, computation, differential equations, ensembles, environment, fluid dynamics, forecasting, geophysics, global warming, greenhouse gases, Hyper Anthropocene, Lorenz, Mathematics and Climate Research Network, model comparison, NOAA, oceanography, physics, science, statistics, theoretical physics, thermodynamics, time series | Leave a comment

“Stochastic Parameterization: Towards a new view of weather and climate models”

Judith Berner, Ulrich Achatz, Lauriane Batté, Lisa Bengtsson, Alvaro De La Cámara, Hannah M. Christensen, Matteo Colangeli, Danielle R. B. Coleman, Daan Crommelin, Stamen I. Dolaptchiev, Christian L.E. Franzke, Petra Friederichs, Peter Imkeller, Heikki Järvinen, Stephan Juricke, Vassili Kitsios, François … Continue reading

Posted in biology, climate models, complex systems, convergent cross-mapping, data science, dynamical systems, ecology, Ethan Deyle, Floris Takens, George Sughihara, Hao Ye, likelihood-free, Lorenz, mathematics, meteorological models, model-free forecasting, physics, population biology, population dynamics, quantitative biology, quantitative ecology, Scripps Institution of Oceanography, state-space models, statistical dependence, statistics, stochastic algorithms, stochastic search, stochastics, Takens embedding theorem, time series, Victor Brovkin | 4 Comments

Six cases of models

The previous post included an attempt to explain land surface temperatures as estimated by the BEST project using a dynamic linear model including regressions on both quarterly CO2 concentrations and ocean heat content. The idea was to check the explanatory … Continue reading

Posted in AMETSOC, anemic data, Anthropocene, astrophysics, Bayesian, Berkeley Earth Surface Temperature project, BEST, carbon dioxide, climate, climate change, climate data, climate disruption, climate models, dlm package, dynamic linear models, dynamical systems, environment, fossil fuels, geophysics, Giovanni Petris, global warming, greenhouse gases, Hyper Anthropocene, information theoretic statistics, maths, maximum likelihood, meteorology, model comparison, numerical software, Patrizia Campagnoli, Rauch-Tung-Striebel, Sonia Petrone, state-space models, stochastic algorithms, stochastic search, SVD, time series | 1 Comment

On Munshi mush

(Slightly updated on 2016-06-11.) Professor Emeritus Jamal Munshi of Sonoma State University has papers recently cited in science denier circles as evidence that the conventional associations between mean global surface temperature and cumulative carbon emissions are, well, bunk, due to … Continue reading

Posted in Bayes, Bayesian, Berkeley Earth Surface Temperature project, BEST, carbon dioxide, cat1, climate, climate change, climate data, climate education, climate models, convergent cross-mapping, dynamic linear models, ecology, ENSO, environment, Ethan Deyle, evidence, geophysics, George Sughihara, global warming, greenhouse gases, information theoretic statistics, Kalman filter, mathematics, maths, meteorology, model comparison, NOAA, oceanography, prediction, state-space models, statistics, Takens embedding theorem, Techno Utopias, the right to know, theoretical physics, time series, zero carbon | 1 Comment

Gavin Simpson updates his temperature analysis

See the very interesting discussion at his blog, From the bottom of the heap. It would be nice to see some information theoretic measures on these results, though.

Posted in AMETSOC, Anthropocene, astrophysics, Berkeley Earth Surface Temperature project, carbon dioxide, changepoint detection, climate, climate change, climate data, climate disruption, climate models, ecology, environment, evidence, Gavin Simpson, Generalize Additive Models, geophysics, global warming, HadCRUT4, hiatus, Hyper Anthropocene, information theoretic statistics, Kalman filter, maths, meteorology, numerical analysis, R, rationality, reasonableness, splines, time series | Leave a comment

HadCRUT4 and GISTEMP series filtered and estimated with simple RTS model

Happy Vernal Equinox! This post has been updated today with some of the equations which correspond to the models. An assessment of whether or not there was a meaningful slowdown or “hiatus” in global warming, was recently discussed by Tamino … Continue reading

Posted in AMETSOC, anemic data, Bayesian, boosting, bridge to somewhere, cat1, changepoint detection, climate, climate change, climate data, climate disruption, climate models, complex systems, computation, data science, dynamical systems, geophysics, George Sughihara, global warming, hiatus, information theoretic statistics, machine learning, maths, meteorology, MIchael Mann, multivariate statistics, physics, prediction, Principles of Planetary Climate, rationality, reasonableness, regime shifts, sea level rise, time series | 2 Comments

Bernie. Bernie. BERNIE. 2016.

I’m a one issue voter: Climate disruption. Minimizing it. Little else matters. “All the good that you have done, all the good you can imagine doing, will be wiped out by floods, by fires, by superstorms, if you fail to … Continue reading

Posted in adaptation, Anthropocene, bridge to nowhere, carbon dioxide, Carbon Worshipers, citizenship, civilization, clean disruption, climate, climate change, climate disruption, climate models, coastal communities, compassion, corporate litigation on damage from fossil fuel emissions, corporate supply chains, decentralized electric power generation, decentralized energy, demand-side solutions, destructive economic development, Eaarth, ecology, economics, environment, exponential growth, fossil fuel divestment, geophysics, global warming, greenhouse gases, Hyper Anthropocene, investing, investment in wind and solar energy, liberal climate deniers, meteorology, physical materialism, physics, rationality, reasonableness, risk, science, Spaceship Earth, sustainability, T'kun Olam, temporal myopia, the right to know, the value of financial assets, zero carbon | Leave a comment

Causal Diagrams

Like Sankey diagrams, causal diagrams are a useful tool to assess and communicate complicated systems and their intrarelationships: It’s possible to use these for analysis and prescription: Here is the (promised) presentation on reenforcing loops: So how can these techniques … Continue reading

Posted in adaptation, bridge to nowhere, Carbon Cycle, carbon dioxide, carbon dioxide sequestration, Carbon Tax, Carbon Worshipers, causal diagrams, clean disruption, climate, climate change, climate disruption, climate education, climate models, demand-side solutions, differential equations, dynamical systems, ecology, economics, energy utilities, environment, exponential growth, fossil fuel divestment, fossil fuels, global warming, greenhouse gases, greenwashing, Hyper Anthropocene, mathematics, mathematics education, maths, methane, mitigation, natural gas, planning, prediction, rationality, reasonableness, recycling, Sankey diagram, sustainability, the right to know, zero carbon | Leave a comment

Climate Conclusions: The American Petroleum Institute (1980)

The following are excerpted from a memorandum quoted by the Inside Climate News team, documenting the minutes of a 29th February 1980 of a task force on climate change at the American Petroleum Institute. Hat tip to Climate Denial Crock … Continue reading

Posted in adaptation, American Petroleum Institute, AMETSOC, Anthropocene, bridge to nowhere, Carbon Cycle, carbon dioxide, Carbon Worshipers, Chevron, climate, climate change, climate data, climate disruption, climate models, corporate litigation on damage from fossil fuel emissions, denial, ecology, economics, environment, ethics, evidence, Exxon, fear uncertainty and doubt, forecasting, fossil fuel divestment, fossil fuels, geophysics, global warming, greenhouse gases, Gulf Oil, Hyper Anthropocene, meteorology, natural gas, open data, physics, pipelines, Principles of Planetary Climate, rationality, reasonableness, science, selfishness, Standard Oil of California, sustainability, Texaco, the right to know, the value of financial assets | Leave a comment

November Hottest Ever, and Christmas Likely To bring Record Warmth in The East (Dan’s Wild Wild Science Journal; AGU Blogosphere)

The long-range guidance is showing strong indications that the incredible December warmth in the Eastern U.S. will continue to the end of the month. A blast of cold air will arrive later this week,… (Click on image for larger map, … Continue reading

Posted in AMETSOC, capricious gods, climate, climate models, Dan Satterfield, differential equations, diffusion processes, dynamical systems, ensembles, ENSO, environment, forecasting, geophysics, Hyper Anthropocene, meteorology, NCAR, NOAA, numerical software, physics, science, the right to know, wave equations | Leave a comment

Admiral David Titley (USN, retired), oceanographer, on climate models and satellite temperature data

(Hat tip to Peter Sinclair’s Climate Denial Crock of the Week.) More: Still more: And a 22 minute lecture at TEDx Pentagon:

Posted in AMETSOC, astrophysics, climate, climate change, climate data, climate disruption, climate models, denial, environment, geophysics, global warming, ignorance, IPCC, James Hansen, NCAR, NOAA, oceanography, physics, Principles of Planetary Climate, science | 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

Thoughts on “Regime Shift?”

John Baez at The Azimuth Project opened a discussion on the recent paper by Reid, et al Philip C. Reid et al, Global impacts of the 1980s regime shift on the Earth’s climate and systems, Global Change Biology, 2015. I … Continue reading

Posted in Bayesian, changepoint detection, climate change, climate disruption, climate models, dynamic linear models, ecology, ensembles, environment, global warming, population biology, Rauch-Tung-Striebel, regime shifts, state-space models, stochastic algorithms, 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

Southern Oscillation (SOI) correlated with Outgoing Longwave Radiation (OLR)

To the climate community this is nothing at all new, but I spotted these time series today and thought they would make a nice exhibit on how something people have direct control over, greenhouse gas emissions, affect a “teleconnection mechanism” … Continue reading

Posted in AMETSOC, bifurcations, carbon dioxide, climate, climate change, climate disruption, climate models, Dan Satterfield, differential equations, dynamic linear models, dynamical systems, ENSO, environment, forecasting, generalized linear models, geophysics, global warming, greenhouse gases, IPCC, Mathematica, mathematics, maths, meteorology, NCAR, NOAA, numerical software, oceanography, open data, physics, population biology, Principles of Planetary Climate, rationality, reasonableness, science, Spaceship Earth, state-space models, thermodynamics, time series | Leave a comment

“Climate Science, 50 years later”

Hat tip to Peter Sinclair who let us all know about this symposium on his blog. The link is supposed to start at Dr John Holdren’s talk, but in case it does not, his talk begins at 35:00 into the … Continue reading

Posted in Anthropocene, astronomy, astrophysics, carbon dioxide, climate, climate change, climate disruption, climate models, environment, forecasting, fossil fuels, geophysics, global warming, Hyper Anthropocene, meteorology, oceanography, physics, Principles of Planetary Climate, rationality, reasonableness, risk, science, science education, Svante Arrhenius, zero carbon | 2 Comments

Carbon Worshipers and Worship

There’s agitation and angst in some circles regarding the proper term to dub individuals who, however technical their training, reject the conclusions of climate science, physics, and even Exxon from the 1970s. (Graphs are from Greg Laden’s blog.) There’s denial, … Continue reading

Posted in Anthropocene, atheism, bridge to nowhere, carbon dioxide, chemistry, citizenship, civilization, climate, climate change, climate data, climate models, denial, energy, environment, Exxon, fossil fuels, geophysics, global warming, Hyper Anthropocene, ignorance, IPCC, meteorology, oceanography, physical materialism, physics, rationality, reasonableness, science, UNFCCC, UU Humanists, zero carbon | 2 Comments

Alice Bell’s “A very short history of climate change research”

“A very short history of climate change research“, by Alice Bell. The story of scientists discovering climate change is longer than many of us tend to imagine. We’ve had a sense that what humans do might effect the climate since … Continue reading

Posted in astronomy, astrophysics, biology, carbon dioxide, civilization, climate, climate change, climate disruption, climate education, climate models, dynamical systems, ecology, environment, forecasting, fossil fuels, geophysics, global warming, IPCC, James Hansen, meteorology, Neill deGrasse Tyson, NOAA, oceanography, physics, population biology, Principles of Planetary Climate, rationality, Ray Pierrehumbert, reasonableness, risk, science, science education, Scripps Institution of Oceanography, sea level rise, spatial statistics, statistics, sustainability, temporal myopia, UNFCCC, WHOI | Tagged , | Leave a comment

New Paper Shows Global Climate Model Errors are Significantly Less Than Thought (Dan’s Wild Wild Science Journal)

New Paper Shows Global Climate Model Errors are Significantly Less Than Thought – Dan's Wild Wild Science Journal – AGU Blogosphere. The paper is here, unfortunately behind a paywall. I wonder if they looked at the temperature distributions’ second moments? … Continue reading

Posted in Arctic, carbon dioxide, climate, climate change, climate disruption, climate models, differential equations, diffusion processes, ensembles, environment, forecasting, geophysics, global warming, HadCRUT4, meteorology, model comparison, NASA, NCAR, NOAA, oceanography, open data, physics, prediction, rationality, reasonableness, science, statistics, Tamino, time series | Leave a comment

WHT’s “Climate Sensitivity and the 33C Discrepancy”

I happened across a blog post (from 2013) by the mysterious blogger known as WHT (*) titled “Climate Sensitivity and the 33C Discrepancy“. If I could, I’d reblog it here, but their blogging site is not WordPress-friendly. WHT is now … Continue reading

Posted in astrophysics, carbon dioxide, climate, climate change, climate disruption, climate models, dynamical systems, ENSO, environment, forecasting, fossil fuels, geophysics, global warming, mathematics, maths, meteorology, oceanography, physics, Principles of Planetary Climate, rationality, reasonableness, risk, science, WHT | 1 Comment

Thank You

Originally posted on Open Mind:
To all the readers who make this blog worth writing: Thank you. Thank you for sharing my work. One of the things that makes me proud is that often my blog posts are used as…

Posted in astrophysics, citizen science, climate change, climate data, climate disruption, climate education, climate models, differential equations, dynamical systems, ecology, ensembles, forecasting, games of chance, geophysics, global warming, hiatus, Hyper Anthropocene, IPCC, mathematics, mathematics education, maths, meteorology, model comparison, new forms of scientific peer review, open data, open source scientific software, physics, probabilistic programming, probability, rationality, reasonableness, reproducible research, risk, science, science education, spatial statistics, statistics, Tamino, the right to know, time series, transparency | Leave a comment

Professor James Hansen responds and explains:

The recent paper by Hansen, Soto, and others has caused a stir, as I suspect it was intended to do so. I posted about this paper earlier. Now Professor Hansen has responded to the critics of his team’s work and … Continue reading

Posted in Anthropocene, arXiv, astrophysics, bifurcations, biology, bridge to nowhere, carbon dioxide, Carbon Tax, citizenship, civilization, clean disruption, climate, climate change, climate disruption, climate models, COP21, denial, disingenuity, dynamical systems, ecology, education, environment, ethics, forecasting, fossil fuel divestment, fossil fuels, geophysics, global warming, investment in wind and solar energy, IPCC, James Hansen, maths, meteorology, NASA, NCAR, new forms of scientific peer review, NOAA, oceanography, open source scientific software, physics, Principles of Planetary Climate, probability, rationality, reasonableness, science, science education, sea level rise, temporal myopia, the right to know, time series, WAIS, zero carbon | 1 Comment

“Why Using El Nino to Forecast the Winter is Risky” – Dan’s Wild Wild Science Journal

Why Using El Nino to Forecast the Winter is Risky – Dan's Wild Wild Science Journal – AGU Blogosphere.

Posted in chance, climate models, differential equations, dynamical systems, ensembles, ENSO, environment, forecasting, geophysics, history, mathematics, meteorology, NCAR, NOAA, nor'easters, oceanography, physics, risk, science, statistics | Leave a comment

References Regarding the 450 ppm CO2 Ceiling

Updated 23rd July 2015 J. Hansen, M. Sato, P. Hearty, R. Ruedy, M. Kelley, V. Masson-Delmotte, G. Russell, G. Tselioudis, J. Cao, E. Rignot, I. Velicogna, E. Kandiano, K. von Schuckmann, P. Kharecha, A. N. Legrande, M. Bauer, and K.-W. … Continue reading

Posted in adaptation, Antarctica, Anthropocene, Arctic, arXiv, carbon dioxide, carbon dioxide capture, carbon dioxide sequestration, Carbon Tax, citizenship, civilization, clean disruption, climate, climate change, climate disruption, climate education, climate models, compassion, conservation, decentralized electric power generation, decentralized energy, demand-side solutions, ecology, economics, efficiency, energy, energy reduction, engineering, environment, fossil fuel divestment, fossil fuels, geophysics, investment in wind and solar energy, meteorology, oceanography, physics, Principles of Planetary Climate, rationality, Ray Pierrehumbert, reasonableness, risk, science, sea level rise, solar power, statistics, sustainability, the right to know, WAIS, wind power, zero carbon | 2 Comments

Links explaining climate change Kevin Jones liked

Kevin Jones asked me if I could put the links in a Comment on a post I made at Google+ in a collection or something for reference. I am therefore repeating the Comment with these details below. No one simple … Continue reading

Posted in Anthropocene, astrophysics, bifurcations, biology, bridge to nowhere, carbon dioxide, chance, citizen science, citizenship, civilization, clean disruption, climate, climate change, climate disruption, climate education, climate models, climate zombies, conservation, consumption, decentralized electric power generation, decentralized energy, demand-side solutions, dynamical systems, ecology, economics, efficiency, energy, energy reduction, environment, exponential growth, forecasting, fossil fuel divestment, fossil fuels, geophysics, global warming, history, investing, investment in wind and solar energy, IPCC, living shorelines, mass extinctions, mass transit, mathematics, maths, meteorology, methane, microgrids, model comparison, NASA, natural gas, NCAR, NOAA, oceanography, physics, politics, population biology, Principles of Planetary Climate, rationality, Ray Pierrehumbert, reasonableness, science, science education, Scripps Institution of Oceanography, sea level rise, sociology, solar power, statistics, temporal myopia, the right to know, Tony Seba, WHOI, wind power, zero carbon | Leave a comment

Desperate for a “Pause”

Originally posted on Open Mind:
When it comes to temperature at Earth’s surface, with 2014 the hottest year on record and 2015 on pace to exceed even that, things are getting hot for those who deny that global warming is…

Posted in climate, climate change, climate disruption, climate education, climate models, climate zombies, environment, geophysics, global warming, hiatus, mathematics, mathematics education, maths, meteorology, obfuscating data, open data, physics, rationality, reasonableness, reproducible research, science, science education, statistics, time series, Uncategorized | 1 Comment

“NOAA temperature record updates and the ‘hiatus’” (from Gavin at REALCLIMATE)

NOAA temperature record updates and the ‘hiatus’. No doubt there’ll be, as Dr Schmidt says, a howl of protests that the data are “being manipulated”. There’s more discussion by Professor Mann. But, more to the point, it looks like we’re … Continue reading

Posted in chance, citizen science, climate, climate change, climate disruption, climate education, climate models, diffusion processes, dynamical systems, energy, ensembles, forecasting, geophysics, global warming, hiatus, maths, meteorology, model comparison, NASA, NCAR, NOAA, oceanography, physics, rationality, spatial statistics, statistics, stochastics, temporal myopia, time series | 2 Comments

The CWSLab workflow tool: an experiment in community code development

Originally posted on Dr Climate:
Give anyone working in the climate sciences half a chance and they’ll chew your ear off about CMIP5. It’s the largest climate modelling project ever conducted and formed the basis for much of the IPCC…

Posted in climate, climate education, climate models, computation, differential equations, dynamical systems, environment, forecasting, geophysics, global warming, IPCC, mathematics, mathematics education, maths, meteorology, model comparison, NCAR, oceanography, open source scientific software, physics, Principles of Planetary Climate, Python 3, rationality, reasonableness, science, science education, state-space models, statistics, time series, transparency | Leave a comment