But data from weather satellites and weather balloons show no significant rise in the
global mean temperature of the atmosphere, in stark contradiction to the climate models.
The graphs, therefore, give a fair indication of whether global
mean temperatures at or near the surface have been rising or falling over the past five or ten years.
When scientists in the 1960s - 70s compiled data to build their global average temperature series they used state averages of monthly
mean temperatures from weather stations around the world.
Certainly, global
mean temperature on a century time scale appears to be predominantly a predictable function of forcing.
If you look at the increase in global
mean temperature over the last fifty years, the vast majority of that is associated with human activity and the burning of fossil fuels.
As a consequence, there is low agreement on the sign of the net change in global
mean temperature as a result of land use change.
Length of the growing season is roughly correlated
with mean temperature and «degree days» is perhaps a more biologically suited measure.
Model - average mean local precipitation responses also roughly scale with the global
mean temperature response across the emissions scenarios, though not as well as for temperature.
For example, with some uncertainty, just about 50 per cent of the coral reefs may remain intact if the increase in global
mean temperature does not surpass 1.2 degrees.
This result is particularly striking because global warming has increased
mean temperatures by less than 1 degree Celsius so far.
Being ahead of the trend
means the temperature data can stop increasing and yet the warming trend continues until it «catches up» with the data.
The distribution of
seasonal mean temperature anomalies has shifted toward higher temperatures and the range of anomalies has increased.
The full range of global
mean temperature variation during the last 1000 years — which has seen the coming and going of a Little Ice Age — is only about one degree C.
The use of anomalies also reduces the impact of stations with different
mean temperatures dropping out of, or being added to, the network over time.
The 10 -
year mean temperature for 2004 to 2013 was 0.5 C above this average, with just one year in the past decade, 2011, cooler than average.
Of course, the weather is great too - the tropical
climate means the temperature is usually around 80 degrees - and sunshine is almost guaranteed.
It provided the most likely future evolution of the global
mean temperature under different socio - economic scenarios and that of other quantities like regional precipitation changes.
Because the locations and measurement practices of weather stations change over time, there are uncertainties in the interpretation of specific year - to - year global
mean temperature differences.
There is also uncertainty about determining the outcome of the trend of global
mean temperature after 20 years.
Our findings suggest that increases in
mean temperature alone will negatively affect performance in this tropical butterfly.
These weights allow for an objective, statistical prediction of global
mean temperature fluctuations arising solely from SST - associated internal variability within a given model.
My questions would be: do these new results affect the yearly
mean temperature grid calculations over the last 50 years?
Phrases with «mean temperature»