Questions and Answers : Windows : Understanding the results
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Send message Joined: 14 Feb 06 Posts: 4 Credit: 21,062 RAC: 0 |
I would not suppose I am the first to wonder over this: I just completed my first phase and wanted to see what exactly I had produced. Undoubtedly the global mean temperature plot will find its place in the bigger equation but looking at it (the plot) I can\'t help thinking a similar result could have been created artificially and that perhaps my CPU could have spent its time in more profitable calculi. The plot: every year between 1811 and 1825, the global mean temperature in winter was 12 degrees and that in summer 16. The spring and autumn values are identical half-way in between so the plot goes 12 14 16 14 12 14 16 14 12 etc. for fifteen years. OK, it\'s only a small window on time but I would not have expected to see such uniform predictions year after year through it but rather something like the precipitation plot that looks more realistically created from significant data (although it turns an expected outcome on its head). Apart from not seeing clearly in the above, I also wonder to whose winter, summer, spring and autumn the global mean temperature refers. I am ignorant on the subject, I admit, but I would not really expect the global average temperature to oscillate to a seasonal rhythm during the year since the northern hemisphere\'s summer corresponds to the southern hemisphere\'s winter and vice versa. Are there any sure-fire links to places where I can find answers to similar queries? I hate anything that needs more than twenty clicks to get there which is probably why I\'m still looking at my plots and pondering their meanings... |
Send message Joined: 5 Sep 04 Posts: 7629 Credit: 24,240,330 RAC: 0 |
There\'s some info in the Climate Sciences pages accessed via the link in the blue menu to the left of here. Which also explain that the purpose of phase 1 is to check that the parameters combination being used produces a stable model. So the results should look \'boring\' and plain. If the graph lines start going all over the place, it means that the model is unstable, and unusable. |
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