REX or NSRDB enquiry

[glarange]

Not sure if this is or not a feature, but am I able to extract solar irradiance for set(lat, long) 5 min. intervals? I believe you have 2018 5 min. data available, correct? Thanks and great repo! Gui PhD Student, Stony Brook U, DTS

from rex import NSRDBX nsrdb_file = '/nrel/nsrdb/v3/nsrdb_2018.h5' state='Colorado' with NSRDBX(nsrdb_file, hsds=True) as f: date = '2018-07-04 18:00:00' dni_map = f.get_timestep_map('dni', date, region_col='state') works but not with

date = '2018-07-04 18:05:00'

`

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[glarange]

Also tried:

f = h5pyd.File("/nrel/nsrdb/v3/nsrdb_2018.h5", 'r') one_value = f["ghi"][42, 42] timeseries = f["ghi"][:, 42] len(timeseries)

which should yield 210,240 but yields 17,520 instead. Thanks again.

[MRossol]

@glarange I'm not sure I fully understand your inquiry. Are you trying to extract a timeseries of "ghi" for a given (lat, lon) coordinate? If so you would do so as follows:

nsrdb_file = '/nrel/nsrdb/2018/nsrdb_conus_2018.h5'
lat_lon = (39.741931, -105.169891)
with NSRDBX(nsrdb_file, hsds=True) as f:
    lat_lon_ghi = f.get_lat_lon_df('ghi', lat_lon)

This will return a pandas DataFrame.

nsrdb_file = '/nrel/nsrdb/2018/nsrdb_conus_2018.h5'
lat_lon = (39.741931, -105.169891)
with NSRDBX(nsrdb_file, hsds=True) as f:
    lat_lon_ghi = f.get_lat_lon_ts('ghi', lat_lon)

While the above will return a vector of 'ghi'

[grantbuster]

Also @MRossol, it looks like he wants to extract 5min 2018 data but I dont think he's using the correct file path. Can you send him the 5min 2018 conus directory?

[grantbuster]

Oh @MRossol, nevermind, @glarange it looks like Michael included the correct conus 5min filepath in his response.