At the time of writing this comment, Level 13 (domain) offers the following controlled vocabulary items:
global "A prediction system that covers the entire globe"
limited-area "A prediction system that does not cover the entire globe"
How to proceed with non-global datasets that originate from higher-resolution focus regions (e.g. grid nests) of prediction systems that do nevertheless cover the entire globe (to produce - at the same time - datasets that would be labeled global)?
Should they be classified as limited-area, too?
A controlled vocabulary item, such as:
regional-section (regional-extract?) "A dataset that does not cover the entire globe (but may nevertheless be generated by a prediction system that covers the entire globe)"
could perhaps fit better in such cases. However, it would break the current prediction-system perspective (as compared to a dataset perspective) of Level 13. In addition, its description/meaning would not be fully disjoint to the description of item limited-area.
At the time of writing this comment, Level 13 (domain) offers the following controlled vocabulary items:
How to proceed with non-global datasets that originate from higher-resolution focus regions (e.g. grid nests) of prediction systems that do nevertheless cover the entire globe (to produce - at the same time - datasets that would be labeled global)? Should they be classified as limited-area, too?
A controlled vocabulary item, such as:
could perhaps fit better in such cases. However, it would break the current prediction-system perspective (as compared to a dataset perspective) of Level 13. In addition, its description/meaning would not be fully disjoint to the description of item limited-area.