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www.sindark.com
| | www.davidappell.com
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| | [AI summary] This article compiles a historical timeline of early and pivotal scientific work documenting the discovery and evidence of carbon dioxide's role in climate change and global warming.
| | wryheat.wordpress.com
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| | A monthly review of climate, energy, environmental, and political policy issues Articles compiled by Jonathan DuHamel (jedtaz@gmail.com) In this issue we examine several articles dealing with "net zero" - the elimination of carbon dioxide emissions from burning fossil fuels. These articles show that "net zero" will have almost no effect on global temperature, but will...
| | texasclimatenews.org
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| | [AI summary] The article discusses the 2013 IPCC climate report's findings on global warming, human influence, and implications for Texas, including droughts, sea-level rise, and policy responses.
| | 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.