Hi Alan, I am not so sure about "false strokes" maybe it would be better to call them mis-classified, as we measure mostly CG lightning, but often record CC lightning as much less powerful strokes, especially in near storms.
If our detection was better, as I am sure it will be, we would perhaps have better discrimination between different types of lightning, or interference that mimics lightning, from the point of view of our stations.
I am sure that most people running a station are more aware of how lightning behaves in its various forms, but here are a few basic sites were lightning is explained:-
https://en.wikipedia.org/wiki/Lightning
https://www.nationalgeographic.com/envir...lightning/
http://www.nssl.noaa.gov/education/svrwx101/lightning/
I know there are many more, some very complicated, but these do give some basic facts.
Alan, As storms are a moving phenomena I am not sure how your cluster theory would work in practice.
Could you be more definite in describing how individual and groups of stations would organise their data, to make more usable.
With over 1.4 billion strokes a year world-wide, we are still missing a lot of data in the strokes that we do archive, and even for the data that we do collect, I am not sure what analysis or research is being done, in relation to classifying strokes, propagation characteristics, even diurnal variation.
Is there even a good way that this huge amount of data could be indexed and worked on, unless we have access to super computing or maybe distributed computing, like "SETI" or "Folding @ Home", or even something like "Zooniverse" where people organise vast amounts of data as a volunteer service and pastime?
Certainly even organising the data from my own station appears to be beyond my meagre capabilities, and I would welcome ideas and programs from those that are more expert in these matters.
Sorry, I am probably off topic again, but these ideas do come to mind whilst reading the forum and may add to the overall mill of information.
Regards,
Brian.
If our detection was better, as I am sure it will be, we would perhaps have better discrimination between different types of lightning, or interference that mimics lightning, from the point of view of our stations.
I am sure that most people running a station are more aware of how lightning behaves in its various forms, but here are a few basic sites were lightning is explained:-
https://en.wikipedia.org/wiki/Lightning
https://www.nationalgeographic.com/envir...lightning/
http://www.nssl.noaa.gov/education/svrwx101/lightning/
I know there are many more, some very complicated, but these do give some basic facts.
Alan, As storms are a moving phenomena I am not sure how your cluster theory would work in practice.
Could you be more definite in describing how individual and groups of stations would organise their data, to make more usable.
With over 1.4 billion strokes a year world-wide, we are still missing a lot of data in the strokes that we do archive, and even for the data that we do collect, I am not sure what analysis or research is being done, in relation to classifying strokes, propagation characteristics, even diurnal variation.
Is there even a good way that this huge amount of data could be indexed and worked on, unless we have access to super computing or maybe distributed computing, like "SETI" or "Folding @ Home", or even something like "Zooniverse" where people organise vast amounts of data as a volunteer service and pastime?
Certainly even organising the data from my own station appears to be beyond my meagre capabilities, and I would welcome ideas and programs from those that are more expert in these matters.
Sorry, I am probably off topic again, but these ideas do come to mind whilst reading the forum and may add to the overall mill of information.
Regards,
Brian.
Stations: