File:Temperature_reconstruction_last_two_millennia-de.svg
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Summary
DescriptionTemperature reconstruction last two millennia-de.svg |
Deutsch: Anomalien der mittleren globalen oberflächennahen Temperaturen seit Beginn der Zeitrechnung, relativ zu 1850–1900, rekonstruierte Temperaturen in Blau, beobachtete Werte 1850–2020 in Schwarz. Der schattierte Bereich stellt das 68%-Konfidenzintervall dar. Datenquelle ist PAGES 2k Consortium (2019). "Consistent multidecadal variability in global temperature reconstructions and simulations over the Common Era". Nature Geosciences 12. DOI:10.1038/s41561-019-0400-0., Reconstruction ensemble median and 95% range. Diese Abbildung hier ist eine vereinfachte Darstellung der Abb. 1a) aus PAGES 2k Consortium (2019). Für mehr Einzelheiten siehe die englische Originalversion dieser Grafik und die Datenquelle.
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Source | File:Temperature reconstruction last two millennia.svg, German translation, details as footnote |
Author | of File:Temperature reconstruction last two millennia.svg: Femke Nijsse, of this version: DeWikiMan |
Other versions |
This file was derived from: Temperature reconstruction last two millennia.svg by Femke Nijsse |
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 12:18, 18 February 2022 | 484 × 350 (119 KB) | FunkyHomosapien | fixed description typo (beobachted -> beobachtet | |
11:38, 8 January 2022 | 484 × 350 (120 KB) | DeWikiMan | title somewhat smaller | ||
11:32, 8 January 2022 | 484 × 350 (120 KB) | DeWikiMan | background fixed | ||
11:29, 8 January 2022 | 484 × 350 (122 KB) | DeWikiMan | {{Information |Description={{de|1=Anomalien der mittleren globalen oberflächennahen Temperaturen seit Beginn der Zeitrechnung, relativ zu 1850–1900, rekonstruierte Temperaturen in Blau, beobachtete Werte 1850–2020 in Schwarz. Der schattierte Bereich stellt das 68%-Konfidenzintervall dar. Quelle ist {{cite journal|author=PAGES 2k Consortium|url= https://www.nature.com/articles/s41561-019-0400-0|doi=10.1038/s41561-019-0400-0|title=Consistent multidecadal variability in global temperature recons... |
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