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Greetings! The differing reference times comes from different products (2D horiziontal slices) being available for differing times--either intentionally (some products go out less far or different times e.g. accumulation periods) or unintentionally due to product distribution issues. My best advice is to try to reduce how many times you're trying to examine, and select all your data for those specific times, which should hopefully allow them to be combined much more sensibly. Hopes this helps, Ryan > Yes I see that now I missed that earlier thanks! I am trying to download > some NBM data, however I notice that each variable has a different reference > time. Its labeled something like "reftime1, reftime5" etc. So when I try to > combine all of the variables into the same dataframe it becomes huge because > those values are not the same. Do you have any suggestions on how to > overcome that? > Ticket Details =================== Ticket ID: KAL-154307 Department: Support THREDDS Priority: Normal Status: Closed =================== NOTE: All email exchanges with Unidata User Support are recorded in the Unidata inquiry tracking system and then made publicly available through the web. If you do not want to have your interactions made available in this way, you must let us know in each email you send to us.