C
casado
So Casado, despite all this talk, and by god are you doing a lot of talking, you don't actually have anything to add to the great discussion other than rhetoric.
You claim to be able to understand, and work with this data. You even claim to have done calculations of your own which draw conclusions which even we should be able to see. But you fail to release your data, nor actually tell us what it is you've found.
You'd make a better politician than you ever would a scientist.
Well, if you think rhetoric is your problem, I think. More so if you think that I can work with these data and you can't.
May be cjd, because of his or her limited skills thinks that you need a supercomputer to analyse 1548, 3 digits, numbers. I wonder what computer his or her accountant must be using to analyse his or her business invoices.
Which part are you interested on? the part that tells the history of the lack of data and therefore we can not conclude that the average temperature in 1998 can not be said to be unprecedented even in a short term period, or, put in another way, that the data is compatible with the statement that the same average temperature in 1998 was also there at the end of the XIX century, or the part (which require some explaining of basic physics, specifically basic concepts of thermology) in which I say that regardless of it the data are irrelevant?
The skill to extract from that set of data the yearly average temperature and the standard deviation, should be considered general knowledge, more so when that comes as standard in any spread sheet application (I only use OpenOffice on Linux, by the way). Which in this case gives us the minimum deviation, since data are given already averaged over a month period, so, if we wanted to me more precise, we would have to add the monthly standard deviation to the yearly standard deviation. But since that would go on may favour, and I don't need favours, lets forget about it. So, you will see that the statistical indetermination on the data decreases enormously as we approach the end of the end of the last century. Well, that has nothing to do, obviously, with improving thermometers as we have not taken into account systematic errors so far as we do not have the information about it, we need to assume that those are much smaller than this deviations otherwise this analysis wouldn't make sense, and the situation would be even worse. If you don't like to look at numbers, you can see a plot, I didn't save the link, if you go the the Met Office website an look for the plot of temperatures "since records began", and you would actually see what I am telling you here, in a nice little graph.
Why then we see that. It was yesterday that before leaving I played a bit with it looking at this things, kind of a pastime. But then, if you look at each row, what do you see? What you see in the rows until well into the XX century, is the changes of the seasons, January colder than July, for instance. Is that what we should expect? Well, we don't see that in the latter rows, why? Because, specially after the II WW, and more so in the fifties, when the Americans were interested in studying the Pacific Ocean and its climate, the weight of temperature readings in the southern hemisphere, as it should be, is more or less the same as the northern hemisphere, and since the seasons in both hemispheres are in inversely correlated, when here is summer there is winter and so, on, when you take them together it smooths out the variations along the year. That is why the standard deviation decreases.
But standard deviations are just a guess, a statistical guess of what we do not know. Nos it is impossible to know what was the temperature in February 1880 in the Southern Pacific Ocean, to take the standard deviation to guess where that year's Earth average temperature falls, equates to making a lot of statistical assumptions, among them that the temperature in the places from which we have data, are uncorrelated to those from which we do not have data, which is actually negate the principle of having global temperature forcing. The only thing that we can say is that we don't know. But lets make a concession and assume that we do know, that we can take this analysis as it is, and lets make another concession and forget of the statistical errors on the monthly averages. As God, if there is one, has a sense of humour, the temperatures recorded in 1998 falls withing the error bars of the temperatures recorded at the end of 1880. This with their data at hand. I haven't gone into discussing what reliable that data is, etc. etc.
So, now, are you interested in the part that says that 'and so what..' because this is irrelevant?
Upvote
0