July 24, 2023

A new book by a leading climate change scientist gives reason for hope that the light of truth is shedding a few rays into the dark, dystopian, ideologically driven pseudoscience known as global warming.

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With the 2023 publication of Climate Uncertainty and Risk: Rethinking Our Response, geoscientist Judith A. Curry, Ph.D., acknowledges that, in 2007, she “joined the consensus” in supporting the UN’s Intergovernmental Panel on Climate Change’s (IPCC) Fourth Assessment Report as “authoritative.” What changed her perspective was Climategate, the 2009 hacking and unauthorized release of emails from the Climatic Research Unit at the University of East Anglia. The email exchanges between climate scientists and IPCC authors confirmed her “concerns and suspicions” that “politics and personal agendas” had encroached on the IPCC assessment process.

In 2017, Curry resigned from a prestigious faculty position as chair of the School of Earth and Atmospheric Sciences at the Georgia Institute of Technology. “As a result of the polarization of climate science, I found that I had lost my love of science in the context of the academic ecosystem,” she admits.

Curry is currently employed in the private sector as president of Climate Forecast Applications Network (CFAN), a company she co-founded in 2006 under Georgia Tech’s VentureLab program. There she is involved in “real-world decision-making to manage weather- and climate-related risks.” She also created the highly respected blog Climate Etc., for which she has written numerous posts.

Image: Judith Curry (edited). YouTube screen grab.

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In her new book, Curry acknowledges that a changing climate “has been the norm throughout the Earth’s 4.6-billion-year history.” She refuses to abandon the idea that we humans “are also changing atmospheric composition by increasing the emissions of CO2 and other greenhouse gases,” but she adds an important caveat:

This redefinition of “climate change” to refer only to human-caused changes to the atmospheric composition has effectively eliminated natural climate change from the public discussion.

The result is that the common parlance refers to “climate change,” with no mention of natural climate variability. Any change that is observed over the past century is now implicitly assumed to be caused by human emissions to the atmosphere. This assumption leads to connecting every unusual weather or climate event to human-caused climate change from fossil fuel emissions. Having acknowledged that climate change is the “norm” throughout the Earth’s 4.6-billion-year history, Curry understands that this politicized attribution of all climate change to humans burning hydrocarbon fuels is nonsense.

The crux of Curry’s argument is mathematical, and her main goal is to redefine how computer-driven climate models are conceptualized. What Curry understands is what MIT mathematician and meteorologist Edward Norton Lorenz proved with what has become known as the “butterfly effect.” Lorenz demonstrated that the mathematics of climate involve nonlinear differential equations in which a change in an independent variable does not produce a deterministic outcome in related dependent variables.

In his book The Essence of Chaos, Lorenz also demonstrated that small differences in initial measurements can produce dramatic differences in climate model outcomes. So, a butterfly flapping wings in China might affect tornados developing in Kansas, but sometimes when a butterfly flaps its wings in China, there is no effect on tornados in Kansas.  The flapping of wings is a small difference in an initial measurement that can cause a huge effect on climate outcomes.  But the fact that the wings flapping in China does not always cause a tornado in Kansas is because the equations ruling climate are nonlinear, so sometimes the butterfly causes a tornado, and sometimes it does not.  

In other words, weather is not predictable, nor can we determine with precision the precise amount of global warming, if any, that will result from a given increase in atmospheric CO2.  This is why Curry abandoned the hope that climate can be modeled deterministically by a computer and, instead, insists that the uncertainties inherent in climate mean that, at best, our weather and climate predictions are uncertain, measurable only by probability theory.