processType processReference verticalDatum aggregationDuration parameter operator
OGC WaterML 2.0 OGC 10-126r3
Copyright © 2012 Open Geospatial Consortium 67
Quality assurance related tasks such as automatic spike removal or gap filling; Derivation of new “observed phenomena” such as calculation of volume from stage,
discharge flow from stage etc. These operations are performed on raw observational data to create separate data products more
appropriate for particular types of reporting, ingestion into models, or for archival purposes. Maintaining information on the procedure used in the creation of a new ‘observation’ is important
for correct interpretation of an observations result. Note here that the data being described is not strictly an observation but the OM model is appropriate for such description, and encourages
such use:
“An instance of OM_Process is often an instrument or sensor, but may be a human observer, a simulator, or a process or algorithm applied to more primitive results used as inputs.”
WaterML2 defines an ObservationProcess feature type. This a generic class to describe processes related to the creation of hydrological results.
Table 8 - available types of processes
Process type OGC Name
Simulation http:www.opengis.netdefwaterml2.0processTypeSimulation
Manual Method http:www.opengis.netdefwaterml2.0processTypeManualMethod
Sensor http:www.opengis.netdefwaterml2.0processTypeSensor
Algorithm http:www.opengis.netdefwaterml2.0processTypeAlgorithm
Unknown http:www.opengs.netdefnilOGC0unknown
The following sections describe the properties available in ObservationProcess.