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Thredds folks, We've got 33 years of ocean model output in monthly NetCDF3 files that we have been aggregating into a single virtual 33TB dataset using joinExisting aggregation along the time dimension: http://www.smast.umassd.edu:8080/thredds/hindcasts.html?dataset=fvcom/hindcasts/30yr_gom3 This works fine, but two issues have arisen: 1) the monthly files start at 0000 on the first day of the month, and end on 2400 of the last day of the month. Thus when aggregated with joinExisting, we get duplicate time and data values at the end of every month. 2) when accessing the data via OPeNDAP, the dataset doesn't have an unlimited time dimension. This causes the "nc3tonc4" conversion program in NetCDF4-Python to try to read each variable in it's entirety, which of course is problematic. If "nc3tonc4" sees an unlimited dimension, it can "chunk" its way along. So we could eliminate both these problems by using a FMRC aggregation, right? Thanks, Rich -- Dr. Richard P. Signell (508) 457-2229 USGS, 384 Woods Hole Rd. Woods Hole, MA 02543-1598
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