Not exact matches
The left hand axis shows
anomalies relative to the 1961 to 1990
average and the right hand axis shows the
estimated actual
temperature (°C).
Even so, the IPCC
estimates above indicate: 1) Total Net Atmospheric Carbon Emissions to 2100 will amount to ~ 2050 PgC (or more) on current Trends, 2) A BAU projected
estimate would push CO2 to ~ 952 ppm by 2100 (or more), and 3) Global
average temperature increase /
anomaly would be as high as ~ 6.8 C by 2100
The combination of these factors means it's much easier to interpolate
anomalies and
estimate the global mean, than it would be if you were
averaging absolute
temperatures.
As a final step, after all station records within 1200 km of a given grid point have been
averaged, we subtract the 1951 - 1980 mean
temperature for the grid point to obtain the
estimated temperature anomaly time series of that grid point.
It compiles a diverse set of sea surface (not deep water)
temperature proxies to
estimate a spatially - weighted global
average temperature anomaly.
could relate to the opportunity of using «spatio - temporal
averaged temperature anomalies» for
estimating possible slight changes in a very complex ENERGY system exhibiting a huge number of delayed negative feedbacks (Is this the right indicator to use?).
Then using an
estimate of 14.0 C for the global
temperature average of the 20th century, 12 - month absolute
temperatures were calculated from the calculated 12 - month
average anomalies.
Note: Excel used to calculate the 3 - year absolute
temperature and CO2 level
averages; also used to calculate the moving 36 - month and 360 - month per century acceleration / deceleration trends (Excel slope function) as depicted on chart; the absolute temps calculated using the HadCRUT4 month
anomalies and NOAA's monthly global mean
temperature estimates; and, the 3 - year
average beginning value for CO2 was offset to a zero starting place.
But many concerns appear: (1) error bars should be growing as long as we move to the past, (2) error bars should be much greater than they are, (3) the
estimated value for
averaged temperature anomaly is basically fictitious.
Sensitivity equals dT / dF is only valid for an absolute
temperature and absolute forcing over a small range of change and since the current «state of the artistry» «surface
temperature average» requires using
anomaly from very cold locations with very little energy per degree of
anomaly, what «surface» is
averaged impacts the
estimate of «sensitivity».
I would have no problem if the public were told that «we
estimate that the country's
average of interpolated,
estimated, krigged, infilled
anomalies is increasing by one tenth of a degree per decade,» because then it would be clear that there is a lot more than measurement of
temperature going on.
Where absolute
temperature values (rather than
anomalies) are quoted as an area
average for Australia or a region, this is done by first calculating the
anomaly as above, and then adding that to a fixed
estimate of the area
average for the standard 1961 — 1990 reference period.
(See NCDC Global Surface
Temperature Anomalies) The same file states «The global monthly surface temperature averages in the table below can be added to a given month's anomaly (departure from the 1880 to 2004 base period average) to obtain an absolute estimate of surface temperature for that mo
Temperature Anomalies) The same file states «The global monthly surface
temperature averages in the table below can be added to a given month's anomaly (departure from the 1880 to 2004 base period average) to obtain an absolute estimate of surface temperature for that mo
temperature averages in the table below can be added to a given month's
anomaly (departure from the 1880 to 2004 base period
average) to obtain an absolute
estimate of surface
temperature for that mo
temperature for that month.»
«Overall my best
estimate of the 2014 annual global surface
temperature anomaly is 0.626 + / - 0.05 C above the 1961 - 1990
average, making it likely to be the hottest year on record after the 0.547 C
anomaly in 2010.»
Willis, this brings up an issue that I have never seen properly discussed, to wit: Are the surface statistical models like HadCRU
estimating the global
average surface
temperature anomaly, or the global atmospheric
temperature anomaly?