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www.nature.com | ||
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progearthplanetsci.springeropen.com
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| | | | | Proposed in 1954, Alisov's climate classification (CC) focuses on climatic changes observed in January-July in large-scale air mass zones and their fronts. Herein, data clustering by machine learning was applied to global reanalysis data to quantitatively and objectively determine air mass zones, which were then used to classify the global climate. The differences in air mass zones between two half-year seasons were used to determine climatic zones, which were then subdivided into continental or maritime climatic regions or according to east-west climatic differences. This study renews Alisov's CC for the first time in almost 70years and employs data-driven machine learning to establish a standard for causal CC based on air masses. | |
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judithcurry.com
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| | | | | by John Ridgway Any politician faced with the challenge of protecting the public from a natural threat, such as a pandemic or climate change, will be keen to stress how much they are 'following the science' - by which they ... Continue reading | |
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behavioralscientist.org
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| | | | | We asked you to share your hopes and fears, predictions and warnings, open questions and big ideas. So, what might the next decade hold? | |
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judithcurry.com
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| | | by Judith Curry Climate science is sometimes characterized by skeptics as pseudoscience. Here are the arguments for why climate science is not pseudoscience. From the Wikipedia: Pseudoscienceis a claim, belief, or practice which is presented asscientific, but does not ... Continue reading | ||
