Sentences with phrase «mean surface temperature resulting»

Not exact matches

They estimated that land - use changes in the continental United States since the 1960s have resulted in a rise in the mean surface temperature of 0.25 degree Fahrenheit, a figure Kalnay says «is at least twice as high as previous estimates based on urbanization alone.»

Assuming that their result is widely accurate wherever those can be modeled, and PR rate is proportional to the rate of ascension of air, the increase of SH due to a 0.5 C increase of surface mean temperature should be approximately 6 % of 24 W / m ^ 2 = 1.4 W / m ^ 2.

The larger size of our True Wave ™ Far Infrared heaters mean more surface area, resulting in lower surface temperature.

Of course I've seen the often used IPCC TAR result here showing that modelling results combining natural and anthropogenic forcings reproduce 20th century global mean surface temperature anomalies relative to the 1880 to 1920 mean.

I for one would like to see a follow up of the current work by Dr. Benestad that more clearly defines the means of «cause and effect» and how this is resulting in high surface temperatures.

The improved simulation of ENSO amplitude is mainly due to the reasonable representation of the thermocline and thermodynamic feedbacks: On the one hand, the deeper mean thermocline results in a weakened thermocline response to the zonal wind stress anomaly, and the looser vertical stratification of mean temperature leads to a weakened response of anomalous subsurface temperature to anomalous thermocline depth, both of which cause the reduced thermocline feedback in g2; on the other hand, the alleviated cold bias of mean sea surface temperature leads to more reasonable thermodynamic feedback in g2.

As a result, directly comparing the Sea Surface Temperature data from the early 20th century to the current Sea Surface Temperature data is like «comparing apples and oranges» — there have been too many changes in the data sources for such comparisons to have much meaning.

On the earth the supply of water vapour is unlimited over the greater part of the surface, and the actual mean temperature results from a balance reached between the solar» constant» and the properties of water and air.

[Equilibrium] climate sensitivity is defined as the increase in global mean surface temperature (GMST), once the ocean has reached equilibrium, resulting from a doubling of the equivalent atmospheric CO2 concentration, being the concentration of CO2 that would cause the same radiative forcing as the given mixture of CO2 and other forcing components.

The model calculates the path of atmospheric CO2 and other GHG concentrations, global mean surface temperature, and mean sea level rise resulting from these emissions.

The unsurprising result is that mean annual SURFACE temperature is higher in the desert.

The results here reveal a larger picture — that the western tropical Indian Ocean has been warming for more than a century, at a rate faster than any other region of the tropical oceans, and turns out to be the largest contributor to the overall trend in the global mean sea surface temperature (SST)»

Now, researchers from Germany and the US, who examined global mean surface temperature (GMST) trends in the light of a recent series of three record - breaking years in a row in most data sets, have published the results of their study, which identified two important pitfalls in analysing GMST trends, in Environmental Research Letters.

None of this has any bearing whatsoever on mean planetary surface temperatures which are supported by the autonomous gravitationally induced temperature gradient which results from the process described in statements of the Second Law of Thermodynamics in which thermodynamic equilibrium evolves spontaneously.

On the time - varying trend in global - mean surface temperature ``... we showed that the rapidity of the warming in the late twentieth century was a result of concurrence of a secular warming trend and the warming phase of a multidecadal (~ 65 - year period) oscillatory variation and we estimated the contribution of the former to be about 0.08 deg C per decade since ~ 1980.»

Fig. 3 shows that the resulting cleaned signal presents a nearly monotonic warming of the global mean surface temperature throughout the 20th century, and closely resembles a quadratic fit to the actual 20th century global mean temperature.

Note that this result is not directly a test of model fidelity, but rather of linearity; what is converging here is the model's representations of air - sea interaction leading to global mean surface temperature anomalies, not whether the models have the ability to capture the magnitude or even the spatial patterns of observed RASST variability.

For example, Stainforth et al. (2005) have shown that many different combinations of uncertain model sub-grid scale parameters can lead to good simulations of global mean surface temperature, but do not lead to a robust result for the model's climate sensitivity.

Simulated surface temperature change (1850 — 75 to 1976 — 2000 mean) driven by land use change forcing only: maps a to d show results from runs 2 to 5 respectively.

I don't think these new results will in any case affect the yearly mean temperature grid calculations, as they depend on actual surface station temperature records — which both we and Steig et al. used — and not on reconstructed gridded data.

Our understanding of zero order results such as climate sensitivity, mean global surface temperature haven't advanced much from the relatively simply models Hansen was using then.

This means that the higher temperature of the earth surface results in larger temperature difference between the earth surface and the top of the troposphere.

You admit that the final result of the temperature of the Earth, 5.4 °C is erroneous, flawed in my words; however, you resort to it to introduce a nonexistent greenhouse effect that warms up the Earth's surface to its actual mean temperature, 290 K.