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For example, when comparing modelled river flow against observations, it is reasonable to being able to extract the timeseries at those point coordinates rather than dealing with many GB of data. Similarly, when the focus is focusing on a specific catchment it is likely that you want to deal with only that part of the spatial domain.
In summary, there are two operations of data size reduction that are very popular on CEMS-Flood datasets:
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, area cropping and time series extraction.
There are two scenarios ways to perform those operations:
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- Locally - Using the CDS API to retrieve the entire data and perform the operation locally.
This section provides scripts for both cases and for both CEMS-Flood products, GloFAS and EFAS.
For the exercise on extracting time series on the local machine, we are going to use the latitude and longitude coordinates from a tiny subset of the GRDC dataset. Copy the content of the box into an empty file named "GRDC.csv", the file should reside in your working folder.
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