Ben,
We've started playing with some NetCDF data on surge/inundation that may
also be useful because of its timeseries nature: It qualifies as 5D.
We've also got radar data we're working with that might be an
interesting test.
gerry
Ben Domenico wrote:
Ben,
Since GALEON is an interoperability experiment, we decided we needed to
select a few representative datasets to focus on for the initial
experimentation. The ones you listed are those few. They were chosen
partly because they have some of the characteristics that stretch the
boundaries of the current WCS/GML specifications. Of course there are
many other netCDF data collections that we could work with and hopefully
we'll be able to get to many of those during the experiment.
To name a couple examples, Rob Raskin will be serving a collection of
oceanographic data on the JPL server and the Unidata server has a wide
variety of weather forecast model output -- including the output of
global models.
I would ask the other participants who are providing datasets on servers
to provide lists of the types of data they are serving along with brief
descriptions of those collections.
I'll be interested to see if there are collections with time series at
individual points. That type of data is often served as "features" via
Web Feature Services (WFS). As I noted, our main focus has been on
forecast model output (we sometimes call it 5D data) because it is so
different from traditional GIS datasets. But the more traditional
datasets remain important of course. In fact, some participants argue
that the distinction between features and coverages is somewhat
artificial in the context of OGC and that a coverage is just a special
case of a feature and should be treated as such.
These are some of the issues we are trying to sort out with the
experiment, but we decided to start at the far end (5D datasets) of the
spectrum.
I hope this helps and also that it spurs others to list and describe
additional datasets they are making available.
-- Ben