As some of you might know, I've been conducting an experiment in a cave for the last couple of months. Up to this point I'be been bashing the data trying to make sense of it. I think I've got the answer.

I best explain:

Pressure (mb) is the measure of how much air is pressing down on a certain point at a certain time. Different measures of pressure relate to different weather conditions, so high pressure means the sun is gonna shine and low pressure means its gonna rain. Pressure is measured outside to help inform the weather report. So for some reason, maybe I need shooting, I came up with the idea of forecasting the weather from inside a cave. After all if Pressure can be measured outside to forecast weather, then it can be measured inside to do the same thing. The first stage of the data crunching was running a statistical test called a Pearson Correlation, this gives you a nice number, either close to +1 for a good correlation or -1 for a bad correlation. By correlation we mean how close the pressure is inside to the pressure outside or the pressure outside informs the pressure inside.

The results for December showed a correlation of 0.933645 and 0.47465 for January, I need to everything checked, but the correlation is very good, so for now at least my theory is correct, I can see a lapse rate within the data, which means that its not an instant thing, but with more time I might be able to model the pressure wave as it enters the cave, maybe. I'll keep you up-dated.

## 2 comments:

you see, you have come up with a very good conclusion! as always!

xxxxxxx

Ains, I need to read the post another time. I'm lost with the explanation :(

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