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originally posted by: pikestaff
Just done a trawl through my archives, two reports, one stating that piles of snow still there is Buffalo, NY, in June, and unmelted snow still there in Scotland (UK) in July, this year, so where is the heat?
Oh so when its cooling, the scientists are incorrect?
originally posted by: TiredofControlFreaks
a reply to: mc_squared
I have an honest question about your chart showing the oceans "ate" the heat.
Presumably this is not just a modern phenomenon but has always happened?
Now the southern hemisphere has more ocean and less land? Right?
The northern hemisphere has less ocean and more land? Right?
So obviously the temperature in the southern hemisphere should not be as warm as the northern hemisphere? Right?
But most climate models are based on the northern hemisphere because that is where most of the historical records exist.
Can I conclude from this that what we are talking about here is not global warming but northern hemisphere warming???
So how can anyone be talking about "global warming" and how can 1 temperature actually reflect the entire globe?
originally posted by: TiredofControlFreaks
a reply to: Kali74
ok but why is 1880 so important???? Because that is where temperature records stop? Why would the planet care about that?
originally posted by: EverydayInVA
This has already been debunked, the scientists used crappy data. Satellite data which covers MUCH more area of the actual Earth showed OCT being only the 25th warmest. Just showing they're pushing an agenda as opposed to real hard science again.
Microwave Sounders. These are satellite-borne instruments that measure the radiance of Earth at microwave frequencies, which allows scientists to deduce the temperature of thick atmospheric layers.
Global coverage at a high sampling rate
Coarse vertical resolution
RSS upper air temperature products are based on measurements made by microwave sounders.
RSS air temperature products are assembled from measurements made by the MSU and AMSU instruments on polar orbiting satellites. We are working toward the use of measurements from the most recent microwave sounder, ATMS.
All microwave sounding instruments were developed for day to day operational use in weather forecasting and thus are typically not calibrated to the precision needed for climate studies. A climate quality data set can be extracted from their measurements only by careful intercalibration of the data from the MSU, AMSU and ATMS instruments.
Anyway, my UAH cohort and boss John Christy, who does the detailed matching between satellites, is pretty convinced that the RSS data is undergoing spurious cooling because RSS is still using the old NOAA-15 satellite which has a decaying orbit, to which they are then applying a diurnal cycle drift correction based upon a climate model, which does not quite match reality. We have not used NOAA-15 for trend information in years…we use the NASA Aqua AMSU, since that satellite carries extra fuel to maintain a precise orbit.
originally posted by: Phage
a reply to: the2ofusr1
The premise of his contest has nothing to do with science. He has published a thousand datasets of 135 data points each.
So, he takes data, and works out a model to fit the data. That is backwards.
The series were generated via trendless statistical models fit for global temperatures.
He made stuff up. And that's his gimmick. He is asking someone to specify which of the datasets contain the made up data. It is all made up data.
Some series then had a trend added to them. Each individual trend averaged 1°C/century—which is greater than the trend claimed for global temperatures. Some trends were positive; others were negative.
He thinks that if no one can tell the difference, it means that AGW is nonsense. He has it backwards because he, like all AGW deniers, claims that the climate models are made to fit the data. Which is false.
The facts are that the models used by climatologists are models of physics. They are not made up statistical models. They do not have arbitrary temperature trends build into them. The fact is that the real world data supports the data produced by those models.