Generalize finding of z layer variables

[veenstrajelmer]

Currently hardcoded in dfmt.reconstruct_zw_zcc():

dfm_tools/dfm_tools/get_nc.py

Lines 366 to 368 in 542efb0

	elif f'{gridname}_layer_z' in uds.variables:
	print('z-layer model, computing zw/zcc (fullgrid) values and treat as fullgrid model from here')
	uds = reconstruct_zw_zcc_fromz(uds)

Can be generalized via standard_name="altitude", but this might be too generic (e.g. could also include bedlevel variable or something similar. Also, it is not following clear cf-conventions.)

code:

file_nc = dfmt.data.fm_grevelingen_map(return_filepath=True) # zlayer
file_nc = r'p:\archivedprojects\11203379-005-mwra-updated-bem\03_model\02_final\A72_ntsu0_kzlb2\DFM_OUTPUT_MB_02\MB_02_0000_map.nc'
uds = dfmt.open_partitioned_dataset(file_nc)
uds = reconstruct_zw_zcc(uds)

Replace in reconstruct_zw_zcc:

# elif f'{gridname}_layer_z' in uds.variables:
elif len(uds.filter_by_attrs(standard_name='altitude')) != 0:

If implemented, test with vertical slicing and depth slicing.