2022-02-06, 10:37
(This post was last modified: 2022-02-06, 10:39 by ThunderStorm.)
Hello,
Not posted anything for a long time, I installed the BLUE station 2959 in Resita city, Romania and will install my old station, 951 soon.
I gained interest again in this old idea, to estimate the polarities by signal processing.
Will start to code a prototype soon in python, and the steps I thought are the following:
1. Get a list of the detected strikes for a certain period (let's say, last 10 mins)
2. For each strike, get the involved station list
3. For each station, match the corresponding E-field signal, discard the stations that do not have E-field signals
4. Now we have a list of only valid E-field signals for a computed lightning
5. Use a python library (scipy) to analyze the signal and find the first E-field peak, discarding the unusable signals
6. Determine the dominant sign of the peak (+/-) and this I think should be the rough estimate of the polarity.
I am determined to do this, because after, I can analyze the spatial distribution of the lightning polarity and possible determine if a storm is super-cellular or not.
Any suggestions are appreciated,
Best regards, Liviu.
NOTE to moderators: you can move this thread to the Internal discussions
Not posted anything for a long time, I installed the BLUE station 2959 in Resita city, Romania and will install my old station, 951 soon.
I gained interest again in this old idea, to estimate the polarities by signal processing.
Will start to code a prototype soon in python, and the steps I thought are the following:
1. Get a list of the detected strikes for a certain period (let's say, last 10 mins)
2. For each strike, get the involved station list
3. For each station, match the corresponding E-field signal, discard the stations that do not have E-field signals
4. Now we have a list of only valid E-field signals for a computed lightning
5. Use a python library (scipy) to analyze the signal and find the first E-field peak, discarding the unusable signals
6. Determine the dominant sign of the peak (+/-) and this I think should be the rough estimate of the polarity.
I am determined to do this, because after, I can analyze the spatial distribution of the lightning polarity and possible determine if a storm is super-cellular or not.
Any suggestions are appreciated,
Best regards, Liviu.
NOTE to moderators: you can move this thread to the Internal discussions
Stations: 2959