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This repository has been archived by the owner on Aug 29, 2023. It is now read-only.
Norman Fomferra edited this page Jan 2, 2018
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5 revisions
From Frank:
On a very basic level Cate needs to know where a glacier is (point coordinates in lon/lat) and then be able to extract for this point time-series of other ECVs (e.g. cloud cover). This is likely very easy to implement and would be super cool.
More advanced operations might need to perform database queries, e.g. show me in Cate where the largest glacier is (e.g. on Earth, in Europe, in the Alps) and then show me how it has changed in the past (requires link to FoG database) and create a plot of the time series (could be length changes since 1870).
If this glacier has no fluctuation data, show me in Cate where the nearest glacier is that has a time series and is larger than xx km2 (this requires that the glaciers in the FoG database also have x/y coordinates and Cate knows where they are).
So basic operations are distance operations (on a sphere), database queries that search for largest/smallest entries, maybe filtered by other attributes (e.g. the region or country), and connections between two databases based on locations.