Update – September 14, 2012

It took a while to do this. But when I finally got all of the charts that I have from Pavel organized I discovered that there is a continuous record of his Ida mine ground tilt sensor data running from December of 2009 through January of 2011. And that time period included his data for that tremendously powerful February 27, 2010 earthquake in Chile.

2010/02/27 06:34:15 35.84S 72.71W 35 8.8 Offshore Maule, Chile
NEIS Data

So, what I have now done is create charts for my own EM Signal data for that time period. And I am going to use Windows Paint to plot them next to Pavel’s charts so that both types of data for that time period can be compared with one another. There is already a chart on my Pavel data Web page that does that for a two month period of time.

This is easier than it sounds. A number of Pavel’s charts have to be combined. And they might not have exactly the same time expansion factor. So one or more will have to be stretched to match the others. And, because of the way that Perl works with Windows, I could not create a single chart displaying my own data. Instead, 4 of them had to be created for different time windows in that time period. And they will have to be combined and then stretched or compressed so that they match Pavel’s charts' time scale.

Technically, this is not very difficult. It simply takes a lot of time to make adjustment to the chart sizes etc. so that they match one another. And it could take me as long as a week or more to get enough time free to do that.

The EPmap program that Roger and I were developing was intended to do this automatically. And the program is actually running. But it needs to have the input data in a text data file. And Pavel's data are so far only available as finalized .png or .jpg charts.

The final result of this effort should be a forecasting method comparison chart that covers a significant time period – more than a year. And that should provide a fairly good picture that will indicate if Pavel’s ground tilt data, my EM Signal data, and powerful earthquakes data for that time period match one another. As I have been saying, from what I have seen so far, Pavel's data appear to me to likely be good “calibration” data that earthquake researchers around the world could be using.

Finally,

People will hopefully keep the family members of the U.S. State Department and support personnel who lost their lives in Libya earlier this week in their prayers.

These are personal opinions.