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English: Diagram showing chart of global warming over time, juxtaposed with timeline showing lifetimes of various generations w:Warming stripes concept by climatologist Ed Hawkins; Relevant publication: Warming Across Generations. Climate Central (22 March 2023). Archived from the original on 13 June 2024.
Top chart: Earth's climate has cycled between ice ages and warm interglacial periods, with each cycle taking tens of thousands of years or more. Middle chart: Global average temperature was in a cooling trend for thousands of years before fossil fuel based industrialization. Since then, it has increased about a full 1°C—in a time period less ...
800,000-, 2,000-, 139-year global average temperature —— Further includes an 800,000 year chart Temperature reconstruction last two millennia —— source of top chart 20190727 COMPARE warming stripes - Global vs Caribbean 1910-2018 (ref 1910-2000) —— top warming stripes graphic (global) uses same data (NOAA) as the bottom chart
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English: Warming stripes graphic comparing different datasets of Global Mean Surface Temperature (GMST). General concept of warming stripes was developed by Ed Hawkins (climatologist) Five data sources for five datasets are listed at File:20200324 Global average temperature - NASA-GISS HadCrut NOAA Japan BerkeleyE.svg
The "border" temperature between red and blue stripes was chosen as the average of the highest and lowest temperature values (not as an average of a date range as is customary in warming stripes). Data for Version 1 is through 2023, updated over the data shown in the 2019 Related File linked below.
Without immediate curbs, temperatures are set to follow the red track, and increase between 3.2 and 5.4 degrees Celsius by 2100. The green line shows how we can minimize warming if emissions immediately drop -- a highly unlikely scenario. Global fossil fuel and cement emissions, in gigatons of carbon dioxide
Line charts — Accepts up to six datasets. (updated 30 August 2023) Vertical bar charts (column charts) — Accepts up to six datasets. Toggle between clustered and stacked charts; user can adjust "Yfloor"—the Y level (usually=0) from which columns rise or fall; user chooses to keep or ignore negative input values. (updated 27 August 2023)
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