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originally posted by: narrator
Where did I say CO2 is a pollutant? I didn't.
originally posted by: narrator
I was simply using CO2 as an example, as it's the most commonly talked about greenhouse gas. I also never said that the amount in the atmosphere is toxic to life. However, it most definitely is a greenhouse gas, and it most definitely causes the temperature of the earth to rise when there is more of it (CO2) in the atmosphere compared to when there is less of it.
originally posted by: narrator
Using the current rate of growth in atmospheric CO2, we're going to hit 500 ppm within 50 years. That's going to raise the global temperature approximately 3 degrees Celsius.
originally posted by: narrator
That isn't good. Also, CO2 is a greenhouse gas whose use/presence could very easily be mitigated. So why not do something about it?
What is the harm in trying to lower the amount of greenhouse gases in the atmosphere? True, honest harm. There isn't any. So why not do it?
originally posted by: i77oomiknotti
a reply to: ElectricUniverse
She doesn't know any of you are here.
originally posted by: TheRedneck
a reply to: Justoneman
I would point out the coordinates listed are all near Redstone Arsenal in Huntsville AL and reflect a small window of the regional data. But your observations convincingly depict a need to review the hourly data averages for quality.
Yes, the area around Redstone Arsenal was the earliest data that was available. The first official temperature reading I could find in this general area was January 1, 1950.
I had not considered power outages; that is a good explanation for the missing individual readings. The longer periods of missing data I attributed to sensor failure... it can take time to get a sensor replaced. Where I had to actually change sensors was likely due to construction that moved the sensor (or simply removed it). The one period in 2000, however, seemed to be the result of a widespread database corruption. While I was searching for alternate sites in the vicinity, I mistakenly typoed the code name and wound up with data from Washington DC, and it showed the same inconsistencies.
TheRedneck
originally posted by: narrator
Please don't take this as a critique on you or your work, you clearly put a lot of time into this and I commend you for it.
Why should we believe this over the entire scientific community? No offense at all, but I'm going to side with the 97% (or more) of scientists who say/show that global warming/climate change/whatever it's called nowadays is actually happening, and it's most likely that humans have a hand in it.
originally posted by: Gazrok
If I can still dispute Global warming in the face of an almost certain bias in the sensors themselves, that says a lot more for my position than if I could dispute it in the face of no bias.
Very true.
The thing is, to those of us (like yourself) who have obviously learned about stats, and how they are obtained, the raw data basically doesn't support even the most conservative predictions by the climate alarmist reports begun by Al Gore decades ago. And yet, this fallacy persists, constantly reinforced by the media, and treated as fact, when really, we're just not seeing these predictions come to light. (and even if we did, there's still no smoking gun indicator they'd be caused by the actions of man vs. nature).
That said, I'm all for truly greener solutions, cleaning up our seas, etc. I don't see how any rational human being can't be for these things. What I'm NOT for though, is unchecked regulation of our industries that puts 1000's out of a job, and makes energy costs skyrocket, when the global economy is already a delusion we keep reinforcing as being just fine.
originally posted by: visitedbythem
I hope you are right about ten years, but several prominent scientists are saying all of this has to do with solar activity. We are at a max right now, and should be having sunspots. We aren't. The sun has been changing. The sunspots heat the Tropisphere? They are not doing it right now. It is evidently cooling fast. Im seeing predictions that we will, over the next 2 years observe a phenomenon that has never been seen by anyone alive. Some are predicting a 35 degree drop all over the planet by 2020, and a mass exodus to the equator. My father ( Genius scientist, Medical background from Stanford University, ( plus 3-4 other colleges under his belt Microbiologist, engineer, director of research for a fortune 500 company, and even summoned to the White house by a Vice President for a meeting with the VP and Secretary of Ag.) concurs with the solar activity as the top cause of weather change, but believes the 36 degree drop is excessive. He still thinks it is going to drop substantially soon.
Food for thought
PS, I have enjoyed your thread. I love information. You have been thorough
If you just step back and look at the data set without any preconceptions, it looks to me like there might be a long term trend (up, down, or neutral) but it is basically impossible to pick out that trend by eyeball, because there is so much noise on top of that signal. The trick, obviously, is to try to remove as much of that noise as possible, to make the underlying signal clearer.
The more I think about your approach, the more I think that a polynomial curve fit won’t do any of that, for several reasons. First of all, we might suspect that some of the apparent noise on the signal is actually periodic with—probably—a bunch of different frequencies. In fact we know for a fact that there is a large scale 12 month periodicity that corresponds to the passing of the seasons. Periodic variations are best modeled by sinusoids. Sinusoids have definite frequencies and, on a time average, have zero-mean amplitude. (In other words, over time, there will be as much of the sine wave below zero as above zero.) It strikes me that polynomials are a really lousy way to try to model sinusoids because polynomials don’t have any periodicity and they don’t necessarily have zero-mean amplitudes. With any polynomial, when you get further away from the origin, whatever the highest degree term is (a quartic, in your case), that term will eventually dominate all the other terms of lower degree, and the amplitude of the function will run off toward plus or minus infinity. That’s just intrinsic to polynomials.
The ideal way to analyze periodic fluctuations is (as someone has already suggested) to first perform an FFT on the data set and see what the power spectral distribution is. If you’re lucky, most of the noise power will be concentrated in a manageable number of frequencies. Knowing that, you could construct a filter to remove those frequencies from the data. Whatever remains could then be fit to various different curves, to see which one matches best.
He, the MAIN critic of the 97%, agrees with the results. He simply disagrees with the methodology used to reach the number.
originally posted by: TheRedneck
a reply to: Fools
Great work, my only issue with it is you are tackling "global warming" with a very local set of measurements. I would imagine other areas more prone to cold weather would show much more variation.
That may be entirely possible... and I invite anyone to perform a similar analysis on their own locale to compare results. I will even make my spreadsheet available to anyone who asks.
TheRedneck
I hope you are right about ten years, but several prominent scientists are saying all of this has to do with solar activity.
It has already been done with 5000+ sensors globally in meta analysis, shows a greater increase in temps. 90% of warming has occured in the sea with roughly 160 extra zetajoules.
Still a good OP on proper research and mathematics but not reflective of global temperature change.