Figure
Global average air temperature anomalies (1850 to 2012) in degrees Celsius (°C) relative to a pre-industrial baseline period
Figure
Created 15 May 2013
Published 14 Aug 2013
Last modified 05 Feb 2018
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Climate change mitigation
Global average air temperature anomalies (1850 to 2012) in degrees Celsius (°C) relative to a pre-industrial baseline period for 3 analyses of observations: 1) Black line - HadCRUT4 from the UK Met Office Hadley Centre and University of East Anglia Climate Research Unit, baseline period 1850-1899 (Morice et al. 2012) with the grey area representing the 95% confidence range, 2) Red line – MLOST from the US National Oceanic and Atmospheric Administration (NOAA) National Climatic Data Centre, baseline period 1880-1899 (Smith et al., 2008), and 3) Blue line - GISSTemp from the National Aeronautics and Space Administration (NASA) Goddard Institute for Space Studies, baseline period 1880-1899 (Hansen et al., 2010). Upper graph shows annual anomalies and lower graph shows decadal average anomalies for the same datasets.
Original data
Metadata
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Methodology:
See Indicator specification CSI012
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Units:
Degree Celcius
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Rights:
- Access is managed by the owner mentioned below.
Please contact the owner for more information about their data policy, -
Owners:
- Goddard Institute for Space Studies (NASA)
- Met Office Hadley Centre observations datasets
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Processors:
- Met Office United Kingdom
- European Environment Agency (EEA)
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Figure type:
- Graph
Additional information
Geographical coverage note: World
The lines refer to 10-year moving average, the bars to the annual 'land and ocean' global average.
Links to data sources:
http://www.metoffice.gov.uk/hadobs/hadcrut4/
http://data.giss.nasa.gov/gistemp/
http://www.ncdc.noaa.gov/oa/ncdc.html
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Geographic coverage
Temporal coverage
1850-2012
For references, please go to https://www.eea.europa.eu/data-and-maps/figures/global-annual-average-temperature-deviations-1850-2007-relative-to-the-1850-1899-average-in-oc-the-lines-refer-to-10-year-moving-average-the-bars-to-the-annual-land-and-ocean-global-average-3 or scan the QR code.
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