Generate coordinates dataset for final NSRDB output

[grantbuster]

Why this feature is necessary:
Coordinates datasets are often added to final NSRDB data. Might as well have that generated when running nsrdb pipeline.

[MRossol]

coordinates:
shape = (n, 2)
dtype = np.float32
order = (lat, lon)

[grantbuster]

There should probably be an instance method in the reV outputs handler that creates the coordinates dataset with proper chunks, then add a kwarg add_coords=False (false by default, we dont usually need this) to a common entry point:

https://github.com/NREL/reV/blob/d8a5d2c2789246d85690ad581eb3731f80c66bb5/reV/handlers/outputs.py#L874

[grantbuster]

Actually probably in here (forgot we subclass the reV outputs handler for NSRDB applications):

nsrdb/nsrdb/file_handlers/outputs.py

Line 27 in b2f01d3

def init_h5(cls, fout, dsets, attrs, chunks, dtypes, time_index, meta,

[bnb32]

added coordinate chunks here

nsrdb/nsrdb/file_handlers/outputs.py

Lines 59 to 62 in 0cc0a99

	if add_coords:
	coords = meta[['latitude', 'longitude']].to_numpy()
	coords_chunks = ArrayChunkSize.compute(coords)
	chunks['coords'] = coords_chunks

and coordinate output here

nsrdb/nsrdb/file_handlers/outputs.py

Lines 73 to 74 in 0cc0a99

	if add_coords:
	f['coords'] = coords.astype(np.float32)