---- Nan Galbraith wrote: > Hi all - > >> From a CDM developer perspective, an auxiliary coordinate is "just as >> good" as a regular coordinate variable. The extra requirements on >> coordinate variables are helpful in knowing when to optimize, eg >> monotonicity allows one to efficiently find the index given the >> coordinate value. > > Are we reaching agreement that fill values are allowed in auxiliary > coordinate variables, aside from > >> In my understanding, we have always prohibiting missing data in aux >> coord vars, and in section 9 we explicitly allowed for the first >> time. Evidently we should be clear, one way or the other (which was >> one of the intentions of the defect ticket I opened). > > Should we be discussing this on the trac ticket? That would provide a > better trail - Mailman isn't very good if you're searching for a thread > like this - the subject doesn't mention coordinates. > > Thanks - > Nan > > >> >> On 3/26/2012 10:05 AM, Jim Biard wrote: >>> I am working with satellite data, and I, for example, have >>> timestamps that arrive in the data stream along with sensor >>> measurements. I can have independent missing values in both my time >>> variable and my measurement variables. I want to preserve all the >>> incoming data, and the restriction on "true" coordinate variables >>> having no missing values prevents me from designating my time >>> variable as a coordinate variable. If I want to represent the >>> relationship between the time variable and the measurement >>> variables, the only recourse I have is to designate the time >>> variable as an auxiliary coordinate variable in my measurement >>> variables. >>> >>> In the observational world, you cannot always be assured of meeting >>> all the restrictions imposed on "true" coordinate variables. In >>> fact, other restrictions imposed on coordinate variables might not >>> be met (monotonicity, for example), even though the contents of the >>> variable do function properly as coordinate information for another >>> variable. The only mechanism that I am aware of within CF to >>> document the relationship is the auxiliary coordinate attribute. >>> >>> On Mon, Mar 26, 2012 at 11:20 AM, Nan Galbraith <ngalbraith at whoi.edu >>> <mailto:ngalbraith at whoi.edu>> wrote: >>> >>> Hi Jonathan - >>> >>> For underway CTD profiles (gliders and floats, too, I'd think) if >>> the pressure >>> sensor fails intermittently, you can approximate Z by >>> interpolating over >>> time, assuming there are good values along the track. In "final" >>> data, we might >>> do that, but we might like to present raw data in CF files, too. >>> So, yes, this data >>> would be useful, with fill values here and there in the pressure >>> record. >>> >>> Are we getting into a grey area that might be outside the scope >>> of the CF >>> standard - judgements made about the usefulness of data? >>> Having all your >>> coordinates seems like an excellent NetCDF "best practice" and >>> could certainly >>> be a "rule" for many tools, but it could preempt the use of the >>> CF standard for >>> some kinds of observational data. >>> >>> Cheers - >>> Nan >>> >>> >>> On 3/26/12 10:48 AM, Jonathan Gregory wrote: >>> >>> Dear Nan and John >>> >>> It's a good thing we're having this discussion! In my >>> understanding, we have >>> always prohibiting missing data in aux coord vars, and in >>> section 9 we >>> explicitly allowed for the first time. Evidently we should be >>> clear, one way >>> or the other (which was one of the intentions of the defect >>> ticket I opened). >>> >>> The restriction on coord vars not having missing data is, I >>> think, hard to >>> avoid because they are required to be distinct and monotonic. >>> >>> In Nan's case: >>> >>> For something like towed CTD data, you might have a >>> period of time where >>> data from the pressure sensor is missing. If neither the >>> coordinate or aux >>> coordinate can contain null values, does this mean the >>> only options are >>> interpolating Z or removing that section of data? >>> >>> When the sensor is missing, does that mean the data can't be >>> geolocated? As >>> you know, geolocation is one thing CF tries hard to do. Is >>> the data useful if >>> you don't know where it comes from? Perhaps you know in some >>> other way? >>> >>> In John's case >>> >>> Consider a geosynch satellite with lat/lon aux >>> coordinates. the >>> nature of the image is that there are many points around >>> the outside >>> of the image that are not located on the earth. i dont >>> see any good >>> choices other than to put missing values there for >>> lat/lon.. >>> >>> Bert has coincidentally mentioned a similar case (not on the >>> list). I tend to >>> agree that if index space contains locations that simply do >>> not exist, you >>> could put missing data in aux coord vars, but I think this >>> needs a change to >>> the CF convention. >>> >>> To add insult to injury, it seems possible that there are >>> valid data >>> values at these locations. Not sure about that however. >>> Can anyone >>> with geosynch data expertise comment? >>> >>> As in Nan's case, I am curious about how the data can be >>> useful if it doesn't >>> have a location. >>> >>> Best wishes >>> >>> Jonathan >>> _______________________________________________ >>> CF-metadata mailing list >>> CF-metadata at cgd.ucar.edu <mailto:CF-metadata at cgd.ucar.edu> >>> http://mailman.cgd.ucar.edu/mailman/listinfo/cf-metadata >>> >>> >>> >>> -- ******************************************************* >>> * Nan Galbraith Information Systems Specailist * >>> * Upper Ocean Processes Group Mail Stop 29 * >>> * Woods Hole Oceanographic Institution * >>> * Woods Hole, MA 02543 (508) 289-2444 <tel:%28508%29%20289-2444> * >>> ******************************************************* >>> >>> >>> >>> _______________________________________________ >>> CF-metadata mailing list >>> CF-metadata at cgd.ucar.edu <mailto:CF-metadata at cgd.ucar.edu> >>> http://mailman.cgd.ucar.edu/mailman/listinfo/cf-metadata >>> >>> >>> >>> >>> -- >>> Jim Biard >>> Research Scholar >>> Cooperative Institute for Climate and Satellites >>> Remote Sensing and Applications Division >>> National Climatic Data Center >>> 151 Patton Ave, Asheville, NC 28801-5001 >>> >>> jim.biard at noaa.gov <mailto:jim.biard at noaa.gov> >>> 828-271-4900 >>> >>> >>> >>> _______________________________________________ >>> CF-metadata mailing list >>> CF-metadata at cgd.ucar.edu >>> http://mailman.cgd.ucar.edu/mailman/listinfo/cf-metadata >> >> >> _______________________________________________ >> CF-metadata mailing list >> CF-metadata at cgd.ucar.edu >> http://mailman.cgd.ucar.edu/mailman/listinfo/cf-metadata > > DISCLAIMER: This message is intended exclusively for the addressee(s) and may contain confidential and privileged information. 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