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Re: Best strategy for long-time series



joe,

  well, that's great...  i would like to see an example in gds.xml file like
what john caron did in his
http://www.unidata.ucar.edu/projects/THREDDS/tech/aggServer/AggServerConfig.
html
 it would be nice if you can put some examples of this nice feature for
public downloading..   i would like to see if it is possible to serve hdf
file via GDS (for example quikscat level 3 data from podaac.jpl.nasa.gov).


----- Original Message -----
From: "Joe Wielgosz" <joew@cola.iges.org>
To: "yingshuo shen" <yshen@musashimaru.soest.hawaii.edu>
Cc: "John Caron" <caron@unidata.ucar.edu>; <las_users@ferret.wrc.noaa.gov>;
"Jean-Francois PIOLLE" <Jean.Francois.Piolle@ifremer.fr>; "Jonathan
Callahan" <Jonathan.S.Callahan@noaa.gov>; "jma" <jma@cola.iges.org>
Sent: Tuesday, June 10, 2003 9:58 AM
Subject: Re: Best strategy for long-time series


> Hi Yingshuo,
>
> Just for the record, if you want to add your own metadata to GDS
> datasets, you can do so by providing a supplementary DAS file:
> http://www.iges.org/grads/gds/doc/tag-ref.html#dataset
>
> - Joe
>
> On Tuesday, June 10, 2003, at 11:53 AM, yingshuo shen wrote:
>
> > jennifer,
> >
> > gds is doing a great job with grib and other binary files on
> > aggregation. caron's aggregation server can do things that gds is not
> > able to such as adding some metadata (during aggretation
> > aggType="JoinNew") and also it can aggregate remote data (via DODS
> > type). These two OPeNDAP servers are becoming apdrc data service
> > infrastructure (http://apdrc.soest.hawaii.edu:9090). i am looking
> > forward to seeing the release of caron's NCML and it might be able to
> > help us to put hdf file on to our OPeDAP service.
> >
> > ----- Original Message -----
> > From: jma
> > To: Jonathan Callahan
> > Cc: Jean-Francois PIOLLE ; las_users@ferret.wrc.noaa.gov ; John Caron
> > Sent: Tuesday, June 10, 2003 7:56 AM
> > Subject: Re: Best strategy for long-time series
> >
> > I agree with Shen Yingshuo. It would work if you put the SST data
> > behind a GrADS DODS Server (GDS) and then serve the GDS data set via
> > LAS. Grads can handle the aggregation of the 3-hourly files with ease,
> > and missing datasets and daily updates are no problem. We have similar
> > setups here at COLA that are operational; I'd be happy to help you get
> > started. When you open the GDS data set, only the metadata is read
> > initially, there is no I/O until you actually make a data request. A
> > long time series request might be a little bit slow, but perhaps not
> > more than the LAS time-out. Jon's suggestion of aggregating the 3-hour
> > files into monthly or daily chunks might speed things up. There are
> > some handy netcdf operator programs that could do this pretty easily (
> > http://nco.sourceforge.net ).
> >
> > Jennifer
> > --
> > Jennifer Miletta Adams
> > IGES/COLA
> > 4041 Powder Mill Road, Suite 302
> > Calverton, MD 20705
> > jma@cola.iges.org
> >
> > On Tuesday, June 10, 2003, at 11:15 AM, Jonathan Callahan wrote:
> >
> > Jean-Francois,
> >
> > You have touched on a problem that we in the development group haven't
> > yet developed much expertise in. I would like to rephrase the
> > question to the group (and John Caron):
> >
> > Can the DODS aggregation server efficiently serve up time series that
> > require opening hundreds or thousands of files?
> >
> > Here are various potential solutions to the problem, each with its own
> > drawbacks:
> >
> > . Set up LAS to only allow selection of XY views while still
> > describing the dataset as XYT so that the time selector appears. Then
> > use custom code to map requests for a particular time onto a
> > particular file name to access. You should get a nice usable
> > interface but will lose the ability to create time series. The
> > documentation on customizing LAS code has a section that is relevant:
> >
> >
> > http://ferret.pmel.noaa.gov/Ferret/LAS/Documentation/manual/
> > customize.html#Customizing_LAS_code
> >
> > Clearly, I'll need to create an FAQ that addresses your problem more
> > specifically.
> >
> >
> > . Create files that contain more than a single time step and aggregate
> > those.
> >
> >
> > I suspect that the DODS aggregation server is slow in part because it
> > is being asked to do file IO on thousands of files when you ask for a
> > time series. If this is the case, creating yearly or even monthly
> > files out of your snapshots and then stringing those together with
> > aggregation should solve the problem. The drawback here is that you
> > have to reformat your data.
> >
> >
> > . Any other suggestions out there?
> >
> >
> > -- Jon
> >
> >
> >
> > The advantage of this
> >
> > Jean-Francois PIOLLE wrote:
> >
> > I would like to serve with LAS a long time series of SST maps over
> > atlantic : we have up to 8 maps/a day (every 3 hours but some are
> > sometimes missing). This time series is daily updated with new maps. So
> > far, we have more than 4500 netCDF map files to serve.
> > I tried to serve them through a DODS aggregated server and set up the
> > LAS (v6.0) to access the data through this DODS server. But it appears
> > then that the first access to a map (actually the first access to a
> > DODS
> > dataset) is really slow, exceeding the LAS default time-out. This is
> > because (I guess) each time the DODS catalog is updated, a DODS dataset
> > has to be re-aggregated and this first step is very time-consumming.
> > My question is : is DODS the best strategy to serve a long time-series
> > through LAS? It seems that a Ferret descriptor file can't be used here
> > since it is limited to 500 files. What other strategy? I guess many
> > people have already experienced this problem...
> >
> > regards
> >
> > Jean-francois Piolle
> >
> > --
> > -------------------------------------------------------------
> > Jean-Francois PIOLLE
> > CERSAT French ERS Processing and Archiving Facility
> > IFREMER
> > BP70
> > 29280 Plouzane
> > FRANCE
> >
> > Tel.: (+33) 2 98 22 46 91 email: jfpiolle@ifremer.fr
> > Fax: (+33) 2 98 22 45 33 WWW: http://www.ifremer.fr/cersat
> >
> > -------------------------------------------------------------
> >
> >
> >
>
> Joe Wielgosz / joew@cola.iges.org
> ---------------------------------------------------
> Center for Ocean-Land-Atmosphere Studies (COLA)
> Institute for Global Environment and Society (IGES)
> http://www.iges.org
>



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