Hi andrew:
The file you sent (20110818T001140Z_M_HI504BEN.nc) appears to be a
single profile. Assuming that, you would use the following template:
http://cf-pcmdi.llnl.gov/documents/cf-conventions/1.6/cf-conventions.html#idp8363696
note that lat, lon and time coordinates all have to be scalars.
John
On 4/18/2012 8:24 PM, andrew walsh wrote:
Hi John,
We have now constructed a real netCDF file for you to check. QC flag
variables have been added in. The QC flagging method is based on the
proposed IODE scheme in (1) below.
Attached are the sample .nc file, text (ncdump) of same and a document
specifying the CDL.
Thanks and Regards,
Andrew Walsh
Ref.
(1) Konovalov et. al (March 2012), Proposal to adopt a quality flag
scheme standard
for oceanographic and marine meteorological data, Version 1.2.
----- Original Message ----- From: "John Caron" <[email protected]>
To: "andrew walsh" <[email protected]>
Sent: Thursday, April 05, 2012 10:44 AM
Subject: Re: [CF-metadata] Ocean CTD data following CF Conventions v1.6
ok
On 4/4/2012 6:42 PM, andrew walsh wrote:
Hi John,
Thank for your offer to check a sample netCDF CTD data file. At
moment we don't have
some real .nc file but when we do I can send you a file for checking.
Andrew
----- Original Message ----- From: John Caron
To: [email protected]
Sent: Wednesday, April 04, 2012 5:55 AM
Subject: Re: [CF-metadata] Ocean CTD data following CF Conventions v1.6
Hi all:
Lets see, I havent followed the entire conversation, but:
1) Andrew if you can send me a sample file (not just the CDL) I can
check if it works in the CDM with the new 1.6 conventions, and maybe
give you some advice from my POV.
2) Aggregation in the CDM comes in 2 flavors. 1) The original
implementation simply appends multidimensional arrays together, eg
"joinNew " and "joinExisting" NCML aggregation. I call it "syntactic
aggregation" because it doesnt know what its aggregating, and the
homogeneity requirements are strict. 2) "Feature Type collections"
(aka "semantic aggregation") are the more recent development. These
understand the coordinate information of the data, and so can handle
variations in the representation, eg ragged arrays, scalar
coordinates, etc. In this case, the CDM understands a dataset as a
collection of "features objects", which can be stored in a
collection of files. The interfaces to these collections is still
under development. Most current and future work in the CDM is in
this category.
John
snip ....
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