Antartica would contribute a bit under 9.5 % of
the mean global land surface temperature and a bit under 2.8 % of the mean global surface temperature, if I have got my data right.
The challenge will be settled using the NASA GISS
mean global land surface temperatures for the conventional climate averaging period (defined by the World Meteorological Organization as 30 years) ending on December 31, 2016.
Not exact matches
Global mean temperatures averaged over
land and ocean
surfaces, from three different estimates, each of which has been independently adjusted for various homogeneity issues, are consistent within uncertainty estimates over the period 1901 to 2005 and show similar rates of increase in recent decades.
Ray, I think Lee Grable's point is important: The fact that we use the term «
global temperature» to
mean the average
temperature on a two - dimensional
surface rather than the three - dimensional ocean plus
land plus atmosphere system of the earth has the potential to allow confusion.
Overall, ecosystem - driven changes in chemistry induced climate feedbacks that increased
global mean annual
land surface temperatures by 1.4 and 2.7 K for the 2 × and 4 × CO2 Eocene simulations, respectively, and 2.2 K for the Cretaceous (Fig. 3 E and F).
Lou Grinzo (12)-- I am under the impression that HadCRUTv3 uses air
temperatures on
land and sea
surface temperatures in the oceans to produce their
global mean.
However, the CRU
global mean combined
land air / sea
surface temperature estimates for Jan - Aug 2005 lag behind the 1998 annual
mean estimate by 0.08 C (0.50 C vs. 58C for 1998) while GISS indicates a lag of 0.02 C.
«The average
global temperature anomaly for combined
land and ocean
surfaces for July (based on preliminary data) was 1.1 degrees F (0.6 degrees C) above the 1880 - 2004 long - term
mean.
By comparing modelled and observed changes in such indices, which include the
global mean surface temperature, the
land - ocean
temperature contrast, the
temperature contrast between the NH and SH, the
mean magnitude of the annual cycle in
temperature over
land and the
mean meridional
temperature gradient in the NH mid-latitudes, Braganza et al. (2004) estimate that anthropogenic forcing accounts for almost all of the warming observed between 1946 and 1995 whereas warming between 1896 and 1945 is explained by a combination of anthropogenic and natural forcing and internal variability.
Since then there are a number of papers published on why the warming was statistically insignificant including a recent one by Richardson et al. 2016 which tries to explain that the models were projecting a
global tas (
temperature air
surface) but the actual observations are a combination of tas (
land) and SST oceans,
meaning projected warming shouldn't be as much as projected.
Many agricultural regions warm at a rate that is faster than the
global mean surface temperature (including oceans) but slower than the
mean land surface temperature, leading to regional warming that exceeds 0.5 °C between the +1.5 and +2.0 °C Worlds.
Monthly averages of
global mean surface temperature (GMST) include natural variability, and they are influenced by the differing heat capacities of the oceans and
land masses.
The evolution of
global mean surface temperatures, zonal
means and fields of sea
surface temperatures,
land surface temperatures, precipitation, outgoing longwave radiation, vertically integrated diabatic heating and divergence of atmospheric energy transports, and ocean heat content in the Pacific is documented using correlation and regression analysis.
The fact this is seemingly not fully recognized — or here integrated — by Curry goes to the same reason Curry does not recognize why the so called «pause» is a fiction, why the «slowing» of the «rate» of increase in average ambient
global land and ocean
surface air
temperatures over a shorter term period from the larger spike beyond the longer term
mean of the 90s is also meaningless in terms of the basic issue, and why the average ambient increase in
global air
temperatures over such a short term is by far the least important empirical indicia of the issue.
What contribution to the overall
mean global surface temperature do the
land based and SSTs make.
To facilitate comparison across simulations using all GCMs and RCPs, we express
global vegetation change with respect to change in
global mean land surface temperature (ΔMLT).
Global temperatures usually are described in terms of the
surface air
temperature anomaly, the deviation of the
temperature at each site from a
mean of many years that is averaged over the whole world, both
land and oceans.
(It is frequently forgotten or overlooked in discussions of
global mean temperature that
temperatures over
land rise much more than
temperatures over ocean — and ocean, of course, occupies roughly 70 % of the world's
surface.