Sentences with phrase «mean temperature»

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.
Therefore, do NOT use this measure as an actual physical mean temperature of the arctic.
This fact proved sufficient to obtain useful estimates for global mean temperature changes.
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.
As the maps show, global warming doesn't mean temperatures rose everywhere at every time by one degree.
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.
Number of days in each year where the Australian area - averaged daily mean temperature is extreme.
The following is our report on global mean temperature during 2017.
This result is particularly striking because global warming has increased mean temperatures by less than 1 degree Celsius so far.
Obviously, this 35 % increase in CO2 doesn't mean the temperature goes up 35 %.
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.
It's fall which means the temperatures are changing and you catch that bug that's going around the office.
The graphs compare the global mean temperature estimated by the models with that estimated from the data.
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.
But global mean temperature evolution alone can't tell us how climate and weather are changing on the ground, where people live.
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.
How do you explain an eight year global mean temperature decline in the face of an increasing human CO2 increase?
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.
This would mean the temperature gradient from the equator to the poles would be reducing.
My questions would be: do these new results affect the yearly mean temperature grid calculations over the last 50 years?
While global mean temperature provides the canvas, the details of future changes will emerge at regional levels.
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