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For a large portion of all possible DMOD datasets, the data and metadata only become fully meaningful in the context of a particular hydrofabric dataset that establishes the spatial domain. For example, without an associated hydrofabric, an AORC forcing CSV file for catchment cat-112 contains data applicable only to some abstract conceptual region. It cannot be determined whether the data is accurate (i.e., was the regridding correct for cat-112) or valid (i.e., is there a cat-112) outside of the context of a hydrofabric.
The dataset modeling of DMOD, including the data formats, data domains, and data domain detectors, does not fully account for the relationship between these datasets and a hydrofabric dataset. This needs to be corrected.
The text was updated successfully, but these errors were encountered:
This is a great point, @robertbartel. We should talk to the HF team about what assumptions we can make about certain metadata fields in a HF. For example, can we rely on cat-112 as a name without other context (i.e. the HF version, implying that the cat number can change version to version). I think understanding their domain and data model will be really helpful to this task.
For a large portion of all possible DMOD datasets, the data and metadata only become fully meaningful in the context of a particular hydrofabric dataset that establishes the spatial domain. For example, without an associated hydrofabric, an AORC forcing CSV file for catchment cat-112 contains data applicable only to some abstract conceptual region. It cannot be determined whether the data is accurate (i.e., was the regridding correct for cat-112) or valid (i.e., is there a cat-112) outside of the context of a hydrofabric.
The dataset modeling of DMOD, including the data formats, data domains, and data domain detectors, does not fully account for the relationship between these datasets and a hydrofabric dataset. This needs to be corrected.
The text was updated successfully, but these errors were encountered: