These sets of data are constructed by taking the high and the low temperature of the stations around the planet and averaging the temperatures until the
annual average temperature anomaly is reached.
Whereas
averaged temperature anomalies of these four intervals -LRB--5.5, -5.1, -4.9 and -5.5 °C, respectively) only slightly differ from one another, the mean value of CO2 between 799 and 650 kyr (212 p.p.m.v.) is 4 — 9 % lower than for the ensuing periods (227, 234 and 222 p.p.m.v.; see further illustrations in the Supplementary Information).
Figure 5.3 shows the linear trends (1955 to 2003) of
zonally averaged temperature anomalies (0 to 1,500 m) for the World Ocean and individual basins based on yearly anomaly fields (Levitus et al., 2005a).
They point out that if we assume the data are normally distributed, then the July 2010
average temperature anomaly value was more than 4 standard deviations above the July mean (and they have a lovely graph to emphasize it):
Figure 4 in B.A. Black et al.: This image shows
annually averaged temperature anomalies in excess of 3 °C for the first year after the Campanian Ignimbrite (CI) eruption compared with spatial distribution of hominin sites with radiocarbon ages close to that of the eruption.
And as such, both work rather well in
estimating average temperature anomalies, of adhering to a reality that exists independently of each — like cartesian and polar coordinate systems to a nearly flat plane.
Using more complex models that are spatially inaccurate to estimate a «global» trend of a not very thermodynamic
relevant average temperature anomaly isn't exactly a slam dunk improvement.
The period of increased warming from 1987 to 1997 loosely coincided with the divergence of the global
average temperature anomalies over land, which are derived from observation station recordings, and the global average anomalies in sea surface temperatures.
Earlier in the paper, the AR (1) assumption is justified by regressing each year's
average temperature anomaly against the previous year's and studying the residuals from that fit:
Better, would be to use 10 - year averaging which shows the
highest average temperature anomaly occurred in July, 2002, and has not increased since (the small decrease since is not statistically significant, which is basically what Phil Jones has said).
Back in land of sense, once a 15K global
average temperature anomaly arises through natural variability then there is such a very strong feedback making reaching a 20K anomaly sufficiently unlikely that I think we should ignore it in same way as possibility of earth jumping into centre of sun.
In each grid - cell, compute the average (over all stations in the grid - cell) of the monthly temperature anomalies to produce a single time - series of
average temperature anomalies for each month (years 1880 through 2015).
Figure 5.3 shows the linear trends (1955 to 2003) of
zonally averaged temperature anomalies (0 to 1,500 m) for the World Ocean and individual basins based on yearly anomaly fields (Levitus et al., 2005a).
Using
annual average temperature anomaly from NASA GISS (one of the data sets Schwartz uses), after detrending by removing a linear fit, Schwartz arrives at his Figure 5g:
For the oceans, the globally -
averaged temperature anomaly of +0.83 °C (+1.49 °F) was the highest on record for December, surpassing the previous record set in 2009 by 0.19 °C (0.34 °F).
Annual
average temperature anomalies.
Average temperature anomaly for June 1943 to May 1944 is 0.18 (0.24 ENSO - corrected).
Annual
average temperature anomalies.
The IPCC TAR projection and the 1998 - 2002
average temperature anomaly are baselined to match Easterbrook's projections in 2000.
It compiles a diverse set of sea surface (not deep water) temperature proxies to estimate a spatially - weighted global
average temperature anomaly.
*** The table below shows the global
average temperature anomalies for the last 20 years (2014 only includes data from Jan to Oct, so may change).
The 2014
average temperature anomaly is also in keeping with temperatures since late 2001, when the global average temperature rose to a level that is generally warmer than the 30 - year baseline average.
The average temperature anomaly... Continue reading →
Although the corrected Supplementary Information repeats the statement (in Figure S1) «(h): Ensemble -
average temperature anomalies (relative to 1850) for each single - forcing simulation», the current version of Figure S1 at the relevant GISS webpage states «(h): Ensemble - average temperature anomalies (relative to 1850 — 59) for each single - forcing simulation».
Phrases with «average temperature anomaly»