Sentences with phrase «accurate temperature estimates»

Indeed, it is quite likely that neither of them are accurate temperature estimates!

Not exact matches

While a GCM portrayal of temperature would not be accurate to a given day, these models give fairly good estimates for long - term average temperatures, such as 30 - year periods, which closely match observed data.
However, and this is important, because of the biases and the difficulty in interpolating, the estimates of the global mean absolute temperature are not as accurate as the year to year changes.
I would also like to say that your claim that «the estimates of the global mean absolute temperature are not as accurate as the year to year changes» is at the very least counterintuitive.
Just because you don't understand how climate scientists and other fields of science use proxy information to get accurate estimates of past temperatures doesn't mean it is not possible for them to do so.
Theoretician - climatologist on estimating cost of CO2 mitigation calculation: We can't make a very accurate estimate of the cost of mitigating CO2 and the resulting related temperature reduction because it's too hard.
The reality is that accurate global temperature estimates are some fantasy produced by some fevered wannabe hack scientist.
Even if you get a reasonable temperature estimate you must have an accurate date.
If people used the accurate «estimated» language, it would be obvious to everyone that very small temperature differences really could not be accurately compared to each other.
The smaller the grid boxes, the better the average temperature of the box will reflect the actual temperature at any given point, leading to a more accurate estimate global temperature when you add them all together.
Having said that, I am compelled to state that, in my opinion, the use of surface temperatures alone are probably the least accurate way to describe / forecast weather or climate (extended weather), and adding estimated CO2 just muddies the picture.
I used the word «consistent» because observational data are not yet accurate enough to prove the existence of an imbalance (e.g. 0.9 W / m ^ 2) capable of significant temperature effect but too small to be precisely estimated as the exact difference between two large numbers in the range of 239 W / m ^ 2.
The two alternative time periods for this are pertinent, but equally pertinent is the more accurate «earth's average surface temperature is estimated to have risen...».
I suspect that 50 US stations would NOT give a very accurate ABSOLUTE estimate for the mean temperature, but WOULD be adequate for indicating CHANGES in temperature.
Since then, a growing number of surface temperature measurement stations worldwide, coupled with improved methods for correcting for biases induced through urban heat island effects and other station siting and operational issues, have allowed for the development of accurate global temperature estimates.
It has been shown, by sampling globally complete data with realistic temporal and spatial variability, that this extrapolation procedure yields a more accurate estimate of annual global temperature than global integration methods that restrict the area to regions very close to observed points.
I believe this gives an accurate estimate of surface temperature trends which most closely resembles the normal GISS LOTI.
For ecample Working out historic sea surface temperatures using one record in a grid cell in a year and spreading that to other grid cells Does not seem to me to be an accurate way of estimating the wider temperature.
I'd be happy to see either more accurate estimates or experimental data for the typical temperatures of cloud bases.
For an accurate reconstruction, one would want to use this red line and the estimate for a temperature at the proxy value A is indicated by TA * in the figure.
The meat of the matter is why the different adjustment procedures don't agree and if there is any way to get accurate enough temperature estimates to make useful estimates of the accumulated energy.
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