Sentences with phrase «mean global temperature associated»

I think some such mechanism is necessary to account for the variations in mean global temperature associated with the oceanic oscilations.

Not exact matches

As discussed elsewhere on this site, modeling studies indicate that the modest cooling of hemispheric or global mean temperatures during the 15th - 19th centuries (relative to the warmer temperatures of the 11th - 14th centuries) appears to have been associated with a combination of lowered solar irradiance and a particularly intense period of explosive volcanic activity.

The global mean temperature rise of less than 1 degree C in the past century does not seem like much, but it is associated with a winter temperature rise of 3 to 4 degrees C over most of the Arctic in the past 20 years, unprecedented loss of ice from all the tropical glaciers, a decrease of 15 to 20 % in late summer sea ice extent, rising sealevel, and a host of other measured signs of anomalous and rapid climate change.

The uncertainties associated with reconstructing hemispheric mean or global mean temperatures from these data increase substantially backward in time through this period and are not yet fully quantified.

Time evolution of the global mean temperature (upper blue curve), forcings associated with CO2 (green), galactic cosmic rays (grey; from CLIMAX and plotted as -1 x GCR), total solar irradiance (light blue), and the sunspot number (red, bottom)

An increase in data coverage will affect the estimated variance and one - year autocorrelation associated with the global mean temperature, which also should influence the the metric.

The term «climate sensitivity» refers to the steady - state increase in the global annual mean surface air temperature associated with a given global mean radiative forcing.

«It has been well known for many years that ENSO is associated with significant variability in global mean temperatures on interannual timescales.

Our study suggests that these patterns may also exist in deseasonalized monthly means of the measured temperature record in the post industrial era, a period that is normally associated with global warming and climate change.

The uncertainties associated with reconstructing hemispheric mean or global mean temperatures from these data increase substantially backward in time through this period and are not yet fully quantified.

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.

A set of Monte Carlo simulations nevertheless indicated that the weak amplitude of the global mean temperature response associated with GCR could easily be due to chance (p - value = 0.6), and there has been no trend in the GCR.

Future global vegetation carbon change calculated by seven global vegetation models using climate outputs and associated increasing CO2 from five GCMs run with four RCPs, expressed as the change from the 1971 — 1999 mean relative to change in global mean land temperature.

In other words, under solar or anthropogenic influence the changes in mean climate values, such as the global temperature, are less important than increased duration of certain climate patterns associated say with cold conditions in some regions and warm conditions in the other regions

It is possible to construct a clear Fact about changes in global mean surface temperature changes and the associated uncertainties.

The most likely candidate for that climatic variable force that comes to mind is solar variability (because I can think of no other force that can change or reverse in a different trend often enough, and quick enough to account for the historical climatic record) and the primary and secondary effects associated with this solar variability which I feel are a significant player in glacial / inter-glacial cycles, counter climatic trends when taken into consideration with these factors which are, land / ocean arrangements, mean land elevation, mean magnetic field strength of the earth (magnetic excursions), the mean state of the climate (average global temperature), the initial state of the earth's climate (how close to interglacial - glacial threshold condition it is) the state of random terrestrial (violent volcanic eruption, or a random atmospheric circulation / oceanic pattern that feeds upon itself possibly) / extra terrestrial events (super-nova in vicinity of earth or a random impact) along with Milankovitch Cycles.

«These shifts were accompanied by breaks in the global mean temperature trend with respect to time, presumably associated with either discontinuities in the global radiative budget due to the global reorganization of clouds and water vapor or dramatic changes in the uptake of heat by the deep ocean.

«And since it has long been known that the DTR has declined significantly over many parts of the world as mean global air temperature has risen over the past several decades (Easterling et al., 1997), it can be appreciated that the global warming with which this DTR decrease is associated (which is driven by the fact that global warming is predominantly caused by an increase in daily minimum temperature) has likely helped to significantly reduce the CHD mortality of the world's elderly people.»

These weights allow for an objective, statistical prediction of global mean temperature fluctuations arising solely from SST - associated internal variability within a given model.

The heavy line in Fig. 2B shows the global temperature anomaly associated with these observed oscillatory discriminants consists of an interdecadal global mean temperature fluctuation effectively identical to that in Fig. 1A.

The La Nina phase is associated with a lower global mean temperature than usual.

Models are able to reproduce many features of the observed global and Northern Hemispher (NH) mean temperature variance on interannual to centennial time scales (high confidence), and most models are now able to reproduce the observed peak in variability associated with the El Niño (2 - to 7 - year period) in the Tropical Pacific.

Climate models vary widely in their projections of both global mean temperature rise and regional climate changes, but are there any systematic differences in regional changes associated with different levels of global climate sensitivity?

Using global mean temperature, the variability associated with regional variability is averaged out, giving a larger signal to noise ratio.»