bsrn-nsrdb-conus / README.md
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metadata
language: en
license: mit
configs:
  - config_name: default
    data_files:
      - split: bil
        path: bil/*.parquet
      - split: bon
        path: bon/*.parquet
      - split: bos
        path: bos/*.parquet
      - split: dra
        path: dra/*.parquet
      - split: e13
        path: e13/*.parquet
      - split: fpe
        path: fpe/*.parquet
      - split: gcr
        path: gcr/*.parquet
      - split: gim
        path: gim/*.parquet
tags:
  - solar
  - radiation
  - nsrdb
  - bsrn
pretty_name: BSRN NSRDB PSM v4 conus

BSRN NSRDB PSM v4 conus

Point-extracted NSRDB (National Solar Radiation Database) PSM v4 (conus variant) data for Baseline Surface Radiation Network (BSRN) stations.

Dataset Description

Each file contains 5-minute NSRDB variables at a single BSRN station location. Extraction is performed via the NREL NSRDB API (NLR). The conus variant (v4.0.0) covers the Contiguous United States using GOES-East and GOES-West satellite data.

File Structure

Station folders use the lowercase BSRN three-letter code (e.g. bil).

{station}/
  {station}{MM}{YY}_nsrdb_conus.parquet   # One file per month

Example:

  • bil/bil0119_nsrdb_conus.parquet — BIL, January 2019

Variables

Column Description Units
ghi_nsrdb Global Horizontal Irradiance W/m²
bni_nsrdb Beam Normal Irradiance (DNI) W/m²
dhi_nsrdb Diffuse Horizontal Irradiance W/m²
  • Index: UTC DatetimeIndex (5-minute resolution).
  • Time coverage: NSRDB PSM v4 conus variant spans 2018–2024.

Usage

Load from Hugging Face

from huggingface_hub import hf_hub_download
import pandas as pd

# Download a single file; path is {station}/{station}{MM}{YY}_nsrdb_conus.parquet
path = hf_hub_download(
    repo_id="dazhiyang/bsrn-nsrdb-conus",
    filename="bil/bil0119_nsrdb_conus.parquet",
    repo_type="dataset",
)
df = pd.read_parquet(path)
# df has DatetimeIndex (UTC) and columns: ghi_nsrdb, bni_nsrdb, dhi_nsrdb

Use with bsrn package

The bsrn package can fetch NSRDB data from Hugging Face into RAM (no disk cache) automatically.

from bsrn.io.nsrdb import add_nsrdb_columns

# Add NSRDB columns to an existing BSRN DataFrame
df = add_nsrdb_columns(df, station_code="BIL", variant="conus")

Data Sources

References

  1. Sengupta, M., Xie, Y., Lopez, A., Habte, A., Maclaurin, G., & Shelby, J. (2018). The national solar radiation data base (NSRDB). Renewable and Sustainable Energy Reviews, 89, 51-60.

  2. Maclaurin, G. J., et al. (2024). NSRDB Physical Solar Model (PSM) v4.0.0.

Citation

If you use this dataset, please cite the references above and the bsrn package: dazhiyang/bsrn.

License

NSRDB data is provided by NREL and is subject to their Data Usage Policy.