
Lon Glazner, a fellow blogger and local electronics engineer made some comments about my post on the NASA/CSU study on California temperatures. Well that got me started…so below are Lon’s comments and my reply along with a fun technical challenge. For those of you that read this blog, but disagree with my views, I invite you to read this carefully.
Anthony,
You make a number of good points. Particularly in the fact that the writers may have applied changes in urban temperature measurements over large regions for graphical impact.
As someone who has designed and built electronic temperature sensors I have certain concerns about the data itself.
Unless temperature sensors are regularly calibrated I think it is unreasonable to expect accuracy of greater than a couple of degrees.
Even some that are calibrated may not have good accuracy. The LM34 which is a commonly used semiconductor for measuring temperature is +/-2 degrees F. This is pretty typical of analog or digital semconductor sensors. The temperature error for this part is also non-linear, and so it’s not a simple offset that you have to account for during data collection. Furthermore, there are lots of additional errors that can creep into a temperature measuring device beyond the sensor itself.
http://www.national.com/pf/LM/LM34.html
One could argue that numerical analysis done on data points would tease out errors. But if a scientist doesn’t know the exact accuracy of a temperature sensor then they couldn’t account for errors in their system.
Some of the temperature sensing stations may be very accurate and regularly calibrated. But maybe they’re not?
I have a hard time trusting that the data is accurate to the level of identifying 1 or 2 degree changes over decades. This is especially true since the techniques of making these measurements have changes over that time frame.
Lon
Lon, thank you for the comments. FINALLY somebody who understands the kind of biases that creep into temperature measurements!
I’m innately familiar with National Semi’s LM34 and it’s accuracy problems. One of my early jobs at my university as a research assistant was to create remote electronic weather stations. I soon learned how inaccurate many electronic devices can be in temperature measurement.
The problem with the National Weather Service temperature data sets (and world data sets too) is that they are full of biases and errors that I’m not sure have been accurately accounted for. People such as Jim Price, from CSUC who is on the IPCC say they have been, yet nobody has shown me any hard evidence of such. I’d be a lot less skeptical if I could see how the IPCC accounted for temperature measurement biases. But they won’t share.






















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