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Currently several channels of the observations are influenced by weather balloon on some days. It would be nice to have an option of ignoring the weather balloon channels. This could even be incorporating an automatic detection of weather balloons in channels.
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How should we do this? Ignore bad frequency channels (e.g. when the means of the raw data come above a certain threshold? Or just fold them and detect them there somehow? Or ...?) Or ignore channels which show very strong 1-second periodicity?
The first thing is basically our grasmaaien flagging bad data or something very similar, so I think we should fold them and detect them. We could also add two options, that we ignore channels with 1 second periodicity, maybe this can be done by using a FFT? Also the option of detecting them, folding them and subtracting them would be really nice. I think Bram already wrote something like this last year, that fitted the weather balloon signal, so it might be worth asking him.
Currently several channels of the observations are influenced by weather balloon on some days. It would be nice to have an option of ignoring the weather balloon channels. This could even be incorporating an automatic detection of weather balloons in channels.
The text was updated successfully, but these errors were encountered: