Closed chris-little closed 4 years ago
George pointed out that this is about a first focused approach, not yet full generality. BTW, subsetting as defined in the draft uploaded (and as per WCS Core, just read there) would work on point clouds, but I would not put emphasis on this at the current stage.
-Peter
On 28.03.19 11:46, Chris Little wrote:
I am unhappy with the statement: "Only gridded coverages" in the first draft document, as it is feasible to retrieve MultiPoint point cloud based coverages. The UK Met Office and partners are implementing 3/4D curve based coverages, admittedly on underlying gridded data initially. We should at least consider whether the generic coverage API could tackle these approaches to avoid being locked into a 'gridded only or image coverage' mindset.
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Can we get weather data in uniform grid for now? Model outputs for precip and windfield would be relevant to a scenario on urban flooding.
yes, we have ERA-interim timeseries data available in WGS-84, with several variables including wind speed and precipitation. But I am sure our weather/climate colleagues have almost infinitely more :)
@chris-little what might UK Met Office supply on weather?
Easiest at present is our DataPoint service but this is not gridded. Currently, our operational gridded data services are rather file-format orientated and the newer data-tile orientated services are not free at the point of use.
@percivall Update to above, you can get some 24 hours out-of-date info in S3 buckets at Registry of Open Data on AWS. The Met Office data is Open Weather Data. Do you think this meets your need?
@chris-little -- I'm also not happy with the strength of this statement. There are aspects of the spec that are specific to gridded datasets, but it shouldn't be stated as strongly.
Only gridded coverages are addressed, not MultiPoint/Curve/Surface/SolidCoverages. Reason is that gridded coverages receive most attention today.
Gridded coverages are the primary data type considered but other kinds of datasets are not meant to be excluded.
How about this wording: "Only gridded or multi-point coverages are addressed, not Curve/Surface/SolidCoverages. The reason is that these are common use cases that receive the most attention today.
Gridded coverages or 'point-cloud' multi-point coverages are the primary data types considered but other kinds of datasets are not excluded."
+1 Peter
Looks good to me too.
The terminology suggested by Chris is now the title of Use Case #2 for the Coverge Processing Sprint https://github.com/opengeospatial/CoverageProcessAnalytics/blob/master/UseCases_Specs.adoc
Chris - any chance you can make data available for the Sprint in January at ESIP?
George
On Mon, Dec 9, 2019 at 5:10 AM David Blodgett notifications@github.com wrote:
Looks good to me too.
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The working draft will be updated to include this wording. I suggest we explore non-gridded coverages in the January sprint.
I am unhappy with the statement: "Only gridded coverages" in the first draft document, as it is feasible to retrieve MultiPoint point cloud based coverages. The UK Met Office and partners are implementing 3/4D curve based coverages, admittedly on underlying gridded data initially. We should at least consider whether the generic coverage API could tackle these approaches to avoid being locked into a 'gridded only or image coverage' mindset.