Recent content by Ardit

Let's say we do a research whose hypothesis is "X is related to Y". Also, similar studies are supporting this hypothesis. Therefore the null hypothesis is going to be "X is not related to Y". So, the research objective is to prove that the null hypothesis is wrong. But during my research...

@mathman: Yes, I am trying to find that correlation, and as you said, that can be done using mathematics (i.e. statistics) @broccoli: Can you please explain it more when you say "Next find the probability of finding those points from a gaussian". Let's say I calculated the temperature...

Thank you for your participation anyway. The last paragraph of this article holds a good explanation of what we were discussing: http://www.wjla.com/blogs/weather/2011/05/the-air-over-japan-heated-up-before-the-9-0-earthquake-study-11030.html

The release at the very moment of the earthquake would make sense, but I don't understand its release before the earthquake. What triggers it? The pressure built process? And I see it difficult for the gas to travel through Earth microcraks. Earth layers are dense.

So, are you saying that radon gas escapes from the earthquake epicenter and travels up through Earth microcracks and releases to the air? Earthquake epicenter depth are in the range of kilometers. Or is it just radon from near surface?

Borek, the abstract of this paper tells more on the issue: http://www.sciencedirect.com/science/article/pii/S1474706506000507#

Radon seems to be influenced by preceding earthquakes, apparently due to electromagnetic waves emmitted before earthquakes. But now I just read that we are talking about radon contained in ground waters rather than in air http://en.wikipedia.org/wiki/Radon So, why only radon and not other...

I have read somewhere that electromagnetic waves would ionize radon and that would lead to air temperature increase as air contains radon particles. Do you think this is true?

simpComp, these are the instructions of fitting a line in Excel 2010: First fill two columns with both your observation values. Then, select both columns and go to Insert-Scatter and click the first type. Now you need to fit a line on those points: Click the graph and go to Chart Layout...

3 earthquakes happened on day 15, 16, and 17. During these days, a temperature increase was observed apparently because of the earthquakes. But temperature also increases on other days. So, we don't know for sure if the temperature increase was triggered by the earthquakes or not, -maybe it...

Hi Pythonscript, I think you might find what you're looking for in one of these two websites: http://eca.knmi.nl/ or http://www.ncdc.noaa.gov/land-based-station-data/integrated-surface-database-isd

In Wikipedia page of Diurnal Temperature variation, there is a statement as following: "As solar energy strikes the earth’s surface each morning, a shallow (1–3 cm) layer of air directly above the ground is heated by conduction. Heat exchange between this shallow layer of warm air and the cooler...

Nice examples. So, if we have two cars of the same material, shape and texture under the same conditions but one car is white and the other is black, will they have the same emissivities?

Well, I have two spectral channels, one ranges from 10.780-11.280 µm and the other 11.770-12.270 µm. For both of them, I have the associated emissivities. Integral...sounds scary to me. It's been years that I haven't dealt with them.

OK, I do have the wavelength λ value for emissivity E. I also have another emissivity E' captured for another wavelength λ' for both the materials. So, if we say that the materials are not perfect gray bodies, can I get what I am looking for with the data I have above?