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Summary
The graph shows global monthly near-surface air temperature anomaly estimates since 1850 from eight sources spanning three different estimation approaches. The plotted values are temperature anomalies — the difference between a month’s temperature from a given series and the mean for that month of the year for that series across a reference interval, here taken as 1951 – 1980. The overlaid trend is a 4th order polynomial fit to the mean of the plotted series.
Satellite MSU remote sensing cannot measure meteorological surface air temperature (typically defined as that at 2 m height). The best that can be obtained is a temperature estimate across the lower troposphere,[8] about the bottom 5000 m of atmosphere[8] That temperature is of course much colder than the surface temperature and varies somewhat differently with climatic influences. Nevertheless it is often compared with surface temperatures.[9] The satellite series do not extend across the reference interval adopted for the graph. Instead they are each rebased so that their mean across the 30 year interval 1979 – 2008 equals the mean of the five instrumental series across the same interval.
7. RSS temperature lower troposphere global temperature series (RSS TLT version 3.3)[10]
↑Cowtan, K., & Way, R. G. (2013). Coverage bias in the HadCRUT4 temperature series and its impact on recent temperature trends. Quarterly Journal of the Royal Meteorological Society
{{Information |Description={{en|1=Global monthly land-ocean temperature estimates from five different sources.}} |Source={{own}} |Author=Glen Fergus |Date=2010-04-15 |Permission= |other_versions= }}
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