Dear Randy > The GOES-R system will be producing a hemispheric lightning detection product. > > It will be an array of lightning detection that occur within some number of > seconds across the western hemisphere (i.e. it is not a gridded product).
Is is a timeseries of values, for probability or number of occurrence or yes/no - something like that? If so, I don't think there's a featureType for it yet. It's a timeseries which doesn't apply to a station. It would be among the list of things not covered by chap 9 yet (see sect 9.1). But you don't need to give it a featureType. Chap 9 is primarily for datasets which need to use the techniques provided there for saving space. > A lightning detection has a center location, and needs to be associated with > an area and an interval of time. > > (2) Use the cell "bounds" construct to capture the time interval. Fine. cell_methods should say "time: sum", where time is the name of the time dimension. From your description, I think "sum" is appropriate because this quantity is extensive in time. The probability would be larger if the interval were longer. See App E. > (3) Use the cell "cell_measures" construct to capture area (i.e. > ":cell_measure = area: lightning_detection_area"). That's not quite right, I think. The entry is to indicate what kind of statistic this is, and I would say that again this is extensive. If you considered an area smaller than the W hemisphere, the probability would be smaller, for instance. So I would suggest "area: sum". Cheers Jonathan _______________________________________________ CF-metadata mailing list [email protected] http://mailman.cgd.ucar.edu/mailman/listinfo/cf-metadata
