You can use fsspec to open NREL h5 resource files hosted on AWS S3 on your local computer. In our internal tests, this is slower than the HSDS and zarr examples, but is much easier to set up. This may be a good option for people outside of NREL trying to access small to medium amounts of NREL .h5 data in applications that are not sensitive to IO performance.

For more info on fsspec, read the docs here

Extra Requirements

You may need some additional software beyond the rex requirements to run this example:

pip install fsspec

Code Example

To open an .h5 file hosted on AWS S3, follow the code example below. Here are some caveats to this approach:

  • Change fp to your desired AWS .h5 resource paths.

  • Running this example on a laptop, it takes ~14 seconds to read the meta data, and another ~14 seconds to read the GHI timeseries. This may be faster when running on AWS services in the same region hosting the .h5 file. It is much slower when running on the NREL VPN.

  • The s3f object works like a local .h5 filepath and can be passed to any of the rex resource handlers, which will handle all of the data scaling and formatting.

import time
import fsspec
from rex import Resource

fp = "s3://nrel-pds-nsrdb/current/nsrdb_1998.h5"
s3f = fsspec.open(fp, mode='rb', anon=True, default_fill_cache=False)
res = Resource(s3f.open())

t0 = time.time()
meta = res.meta
print(time.time() - t0)

t0 = time.time()
arr = res['ghi', :, 0]
print(time.time() - t0)