University of Queensland and Griffith University researchers have developed a «global energy tracker» which
predicts average world temperatures could climb 1.5 C above pre-industrial levels by 2020.
Not exact matches
His figures from 147 weather stations around the
world showed that
average global
temperatures increased by 0.59 F from 1880 to 1935 — double what he had
predicted based on increasing carbon dioxide.
Then argue for immediate overwhelming action since when of course the higher
temperatures will naturally happen that will then naturally
average out the entire relevant
temperature record to the long - term middle - range amounts
predicted by the consensus of the
world's best climate science, well, it'll be pretty bad.
The Report included predictions of dramatic increases in
average world temperatures over the next 92 years and serious harm resulting from the
predicted temperature increases.
Various models
predict that a doubling of CO2 in the atmosphere will raise the
world's
average temperature by as little as 1.5 degrees Celsius or as much as 4.5 degrees.
Models
predict that as the
world consumes ever more fossil fuel, greenhouse gas concentrations will continue to rise, and Earth's
average surface
temperature will rise with them.
For example, the
world heated up by about 0.5 degrees Celsius, or 0.9 degrees Fahrenheit, between 1920 and 1940; but the
average temperatures dropped by about half that amount between 1940 and 1970, leading some experts to
predict a coming ice age.
«The
World's Best Practice climate models
predicted Australia would be hotter than normal in September, instead the maximum
temperature anomaly was 1 to 5 degrees below
average across most of Australia.»
The model outputs are generally presented as an
average of an ensemble of individual runs (and even ensembles of individual runs from multiple models), in order to remove this variability from the overall picture, because among grownups it is understood that 1) the long term trends are what we're interested and 2) the coarseness of our measurements of initial conditions combined with a finite modeled grid size means that models can not
predict precisely when and how temps will vary around a trend in the real
world (they can, however, by being run many times, give us a good idea of the * magnitude * of that variance, including how many years of flat or declining
temperatures we might expect to see pop up from time to time).