Monthly Archives: December 2022

The 2023 transition

by Judith Curry

Discussion thread for your reflections and prognostications

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The yin and yang of climate science

by Judith Curry

How the duality of yin-yang can illuminate the climate debate and enlighten transformational research.

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The faux urgency of the climate crisis is giving us no time or space to build a secure energy future

by Judith Curry

There is a growing realisation that emissions and temperature targets are now detached from the issues of human well-being and the development of our 21st century world.

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Cli-fi: the net zero sub-genre

by Judith Curry

Two exciting new books in climate fiction (Cli-fi), with net zero themes.

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Urban night lighting observations challenge interpretation of land surface temperature observations

by Alan Longhurst

The pattern of warming of surface air temperature recorded by the instrumental data is accepted almost without question by the science community as being the consequence of the progressive and global contamination of the atmosphere by CO2.   But if they were properly inquisitive, it would not take them long see what was wrong with that over-simplification: the evidence is perfectly clear, and simple enough for any person of good will to understand.

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Misperception and amplification of climate risk

by Judith Curry

“Something frightening poses a perceived risk. Something dangerous poses a real risk.” – Swedish physician Hans Rosling et al.[i]

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JC navigates the new media

by Judith Curry

With the new media, it’s astonishing  how much trouble a mild-mannered grandmother speaking common sense about climate change can cause without leaving her home.

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Transient Climate Response from observations 1979-2022

by Frank Bosse

A very interesting blog post by Gavin Schmidt provides input on “constraining“  the observed TCR ( Transient Climate Response) in the time window 1979- 2022 using the latest climate models.

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“Colorful fluid dynamics” and overconfidence in global climate models

by David Young

This post lays out in fairly complete detail some basic facts about Computational Fluid Dynamics (CFD) modeling. This technology is the core of all general circulation models of the atmosphere and oceans, and hence global climate models (GCMs).  I discuss some common misconceptions about these models, which lead to overconfidence in these simulations. This situation is related to the replication crisis in science generally, whereby much of the literature is affected by selection and positive results bias.

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