Open clyne opened 5 years ago
A separate issue, #2704, has been opened for reading raw data directly. Given how quickly the broader scientific community has been adopting Jupyter Notebooks and Python, this might be a great opportunity to modernize some of our documentation efforts by providing a notebook(s) that illustrate how to use a Python script write a CF-compliant NetCDF file using either a NumPy array or an Xarray interface. Examples should be provided that cover a uniform grid, stretched grid, and a curvilinear grid.
Documentation/Gettin Data in
We need more documentation, examples, and perhaps utilities to help users get data into VAPOR, such as:
a concrete example of dealing with raw (aka binary) data. Options here are to convert to VDC, OR convert to a CF-compliant NetCDF file.
More guidance on what subset of the NetCDF CF conventions are supported for common use cases: rectilinear grids, regular grids, curvilinear grids