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Certain EBAS variables are measured at different frequencies and for different lengths than pyaerocom assumes. For example, isoprene is often measured every 3 days, the endtime-starttime is around 20 minutes (but may be different), and the Resolution Code of these data is daily. According to experts at NILU (Sverre), there is some subjectivity as to whether these data should be classified as hourly or daily. If we wanted to compare them as hourly, we would also need hourly output from EMEP.
It maybe the case that we need to extend the EBAS reader, or create a new reader, which for certain variables reads in the starttime and endtime of the measurements and then assigns an appropriate time stamp to these data based on the endtime-starttime. From the hourly model data from EMEP we could then co-locate based on the hour in which the time interval falls in, or do a time-based average if the measurement feel over multiple EMEP hours.
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Certain EBAS variables are measured at different frequencies and for different lengths than pyaerocom assumes. For example, isoprene is often measured every 3 days, the endtime-starttime is around 20 minutes (but may be different), and the Resolution Code of these data is daily. According to experts at NILU (Sverre), there is some subjectivity as to whether these data should be classified as hourly or daily. If we wanted to compare them as hourly, we would also need hourly output from EMEP.
It maybe the case that we need to extend the EBAS reader, or create a new reader, which for certain variables reads in the starttime and endtime of the measurements and then assigns an appropriate time stamp to these data based on the endtime-starttime. From the hourly model data from EMEP we could then co-locate based on the hour in which the time interval falls in, or do a time-based average if the measurement feel over multiple EMEP hours.
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