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In fact what is measured is the property of the *stuff at the point* - i.e. this is a sampling issue. The stuff is the atmosphere, its property is its thermodynamic potential, and it is sampled at the point. This is what O&M Part 2 Sampling Features is about, and is why every sampling feature (of which SamplingPoint is a special case) has a "sampledFeature" such as "the atmosphere". So, I suggest a good look at O&M Part 2 is in order. I know that Andrew W has already done this, since he was on the RWG and is credited as one of the contributors since he provided a lot of feedback. Simon
-----Original Message----- From: galeon-bounces@xxxxxxxxxxxxxxxx [mailto:galeon-bounces@xxxxxxxxxxxxxxxx] On Behalf Of Gerry Creager Sent: Friday, 14 March 2008 2:03 AM To: Unidata GALEON Subject: Re: [galeon] Fwd: CDM feature and point types docs Ron, et al, Ah, but then it becomes a science-discipline semantics issue, too. I do think in terms of making "point" observations of in-situ weather data. The observation is made at a fixed location, at a particular finite time, and its geometric property is not a bounded region or polygon, but a point. Realizing there are gaps in this (wind is measured at 10m above ground, temperature, humidity, pressure at 2 meters, precipitation at 1 meter, direct and diffuse solar radiation at nominally 2m but may vary, etc) the data are represented to end-users as being at a single spatial point. Think of it as semantic collision rather than assimilation. And, while I don't think I'm completely clueless, I've spoken at the TCs, and mentioned to you in the past, about "point features" in my use of WFS to represent observations, without discussion. gerry
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