Is there an exhaustive list of situations where N_PROF > 1? #16
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The more specific part of this question related to why For reference, output of vertical sampling scheme variable: for i in range(nc.dimensions['N_PROF'].size):
# read_ncstr is my own function that makes netcdf string arrays more readable
print(read_ncstr(nc['VERTICAL_SAMPLING_SCHEME'][:].data[i,:]))
# Out:
# Primary sampling: averaged [2s sampling,1dbar average in [100-10]dbar;2s samp.,1dbar avg in [10-2.1]dbar]
# Near-surface sampling: averaged, unpumped [2s samp.,1dbar avg in [2.1-1]dbar;2s samp.,1dbar avg in [1dbar-surface]]
# Secondary sampling: mixed [10s sampling in [100-10]dbar;2s samp. in [10-1]dbar;10s samp.,1dbar avg in [1dbar-surface]]
# Secondary sampling: mixed [10s sampling in [100-10]dbar;2s samp. in [10-1]dbar;10s samp.,1dbar avg in [1dbar-surface]] |
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N_PROF>1 will occur when:
If a descending and ascending profiles are collected during the same cycle, these profiles are in two separate files ( R[wmo][cycle].nc and R[wmo][cycle]D.nc , with 'D' for the descending profile), In this case, in each file, N_PROF=1, of course if there are no multiple sensors/sampling schemes or other "bouncing" profiles. I don't know if this answers your question... "Suppose a hypothetical float carries a high-resolution CTD sensor and a low-resolution nitrate sensor. In each single-cycle, this hypothetical float is configured to return a 2-dbar bin-averaged CTD profile to 1000 dbar with no corresponding nitrate measurements, and a discrete 250-dbar interval nitrate profile to 1000 dbar with no corresponding temperature and salinity measurements. The parameters in the resulting core-Argo and b-Argo profile files are formatted as follows for the two profiles in each cycle: |
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Is your QC expertise request related to a problem? Please describe.
In a given cycle, the netCDF dimension
N_PROFis typically 1 (1 cycle, 1 profile), but is sometimes greater than 1 (1 cycle, multiple profiles). In my experience, this is usually when there are observations recorded on the descent, and so there are two profiles for that cycle (files R[wmo]_[cycle].nc R[wmo]_[cycle]D.nc to give an example. There are some situations where there are even more than 2 profiles, and from the file I can't seem to discern from the file why that is (see next section for data). I also have not found an exhaustive lists in any Argo handbook, but hoping I just haven't been looking in the right place and someone could point me to a list or table.Describe the Argo data you'd like to validate
An example of such a file is here: https://data-argo.ifremer.fr/dac/coriolis/6901494/profiles/BD6901494_352.nc
Describe QC methods you've already considered
Not so much a QC method, but this is a more general question related to this issue in the argoFloats R package: ArgoCanada/argoFloats#413
Additional context
Some python code looking at the netCDF file:
Click to unroll code
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