You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
The NWM notebook currently displays interaction examples with single files from the NOAA National Water Model output data.
Many uses of the NWM data require collecting a series of multiple outputs and assembling them into a time series either for one or many points. This aggregation and cross-querying can be accomplished in a number of different ways: e.g., MultiZarr, Kerchunk, concatenated xarray datasets, direct netcdf library access, etc.
Including several examples in this notebook, along with performance statistics to show the relative advantages, especially if there is a particular advantage that can be obtained by using the data within the Azure platform specifically, would be powerful.
(I'll work on some prototypes and see if I can issue a PR...)
The text was updated successfully, but these errors were encountered:
The NWM notebook currently displays interaction examples with single files from the NOAA National Water Model output data.
Many uses of the NWM data require collecting a series of multiple outputs and assembling them into a time series either for one or many points. This aggregation and cross-querying can be accomplished in a number of different ways: e.g., MultiZarr, Kerchunk, concatenated xarray datasets, direct netcdf library access, etc.
Including several examples in this notebook, along with performance statistics to show the relative advantages, especially if there is a particular advantage that can be obtained by using the data within the Azure platform specifically, would be powerful.
(I'll work on some prototypes and see if I can issue a PR...)
The text was updated successfully, but these errors were encountered: