Observation representing an evolving gridded field at a succession of time instants.
-- Description --
A GridSeriesObservation is a time series of gridded fields representing the same phenomenon (or phenomena) over a series of times. E.g. Ocean model output.
The result of a GridSeriesObservation is a discrete coverage within a compound spatiotemporal CRS where the domain consists of a series of two- or three-dimensional grids of points, each at a successive time instant.
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featureOfInterest must be a SF_SamplingSolid |
/*featureOfInterest must be a SF_SamplingSolid */
inv: self.featureOfInterest->forAll(oclIsKindOf(SF_SamplingSolid)) |
One of the axes of the domain must be a temporal axis. |
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phenomenonTime must be a TM_Period |
/* phenomenonTime must be a TM_Period */
inv: self.phenomenonTime.oclIsKindOf(TM_Period) |
result must be a RectifiedGridCoverage or ReferenceableGridCoverage |
/* result must be a RectifiedGridCoverage or a ReferenceableGridCoverage */
inv: self.result.oclIsKindOf(RectifiedGridCoverage) OR self.result.oclIsKindOf(ReferenceableGridCoverage) |