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metadata
language: en
license: mit
configs:
  - config_name: ber
    data_files:
      - split: ber
        path: ber/*.parquet
  - config_name: bil
    data_files:
      - split: bil
        path: bil/*.parquet
  - config_name: bon
    data_files:
      - split: bon
        path: bon/*.parquet
  - config_name: bos
    data_files:
      - split: bos
        path: bos/*.parquet
  - config_name: bou
    data_files:
      - split: bou
        path: bou/*.parquet
  - config_name: brb
    data_files:
      - split: brb
        path: brb/*.parquet
  - config_name: clh
    data_files:
      - split: clh
        path: clh/*.parquet
  - config_name: dra
    data_files:
      - split: dra
        path: dra/*.parquet
  - config_name: e13
    data_files:
      - split: e13
        path: e13/*.parquet
  - config_name: ena
    data_files:
      - split: ena
        path: ena/*.parquet
  - config_name: flo
    data_files:
      - split: flo
        path: flo/*.parquet
  - config_name: fpe
    data_files:
      - split: fpe
        path: fpe/*.parquet
  - config_name: gcr
    data_files:
      - split: gcr
        path: gcr/*.parquet
  - config_name: gim
    data_files:
      - split: gim
        path: gim/*.parquet
  - config_name: kwa
    data_files:
      - split: kwa
        path: kwa/*.parquet
  - config_name: lrc
    data_files:
      - split: lrc
        path: lrc/*.parquet
  - config_name: nau
    data_files:
      - split: nau
        path: nau/*.parquet
  - config_name: ohy
    data_files:
      - split: ohy
        path: ohy/*.parquet
  - config_name: par
    data_files:
      - split: par
        path: par/*.parquet
  - config_name: psu
    data_files:
      - split: psu
        path: psu/*.parquet
  - config_name: ptr
    data_files:
      - split: ptr
        path: ptr/*.parquet
  - config_name: reg
    data_files:
      - split: reg
        path: reg/*.parquet
  - config_name: rlm
    data_files:
      - split: rlm
        path: rlm/*.parquet
  - config_name: sel
    data_files:
      - split: sel
        path: sel/*.parquet
  - config_name: sms
    data_files:
      - split: sms
        path: sms/*.parquet
  - config_name: sxf
    data_files:
      - split: sxf
        path: sxf/*.parquet
tags:
  - solar
  - radiation
  - nsrdb
  - bsrn
pretty_name: BSRN NSRDB PSM v4 aggregated

BSRN NSRDB PSM v4 aggregated

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

Dataset Description

Each file contains 30-minute NSRDB variables at a single BSRN station location. Extraction is performed via the NREL NSRDB API (NLR). The aggregated variant (v4.0.0) provides 4 km spatial resolution and covers the Contiguous United States and other regions using the GOES archive from 1998 to 2024.

File Structure

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

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

Example:

  • ber/ber0198_nsrdb_aggregated.parquet — BER, January 1998

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 (30-minute resolution).
  • Time coverage: NSRDB PSM v4 aggregated variant spans 1998–2024.

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_aggregated.parquet
path = hf_hub_download(
    repo_id="dazhiyang/bsrn-nsrdb-aggregated",
    filename="ber/ber0198_nsrdb_aggregated.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="BER", variant="aggregated")

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. Xie, Y., Yang, J., Sengupta, M., Liu, Y., & Zhou, X. (2022). Improving the prediction of DNI with physics-based representation of all-sky circumsolar radiation. Solar Energy, 231, 758-766.

  3. Xie, Y., Sengupta, M., Yang, J., Buster, G., Benton, B., Habte, A., & Liu, Y. (2023). Integration of a physics-based direct normal irradiance (DNI) model to enhance the National Solar Radiation Database (NSRDB). Solar energy, 266, 112195.

  4. Xie, Y., Sengupta, M., & Dudhia, J. (2016). A Fast All-sky Radiation Model for Solar applications (FARMS): Algorithm and performance evaluation. Solar Energy, 135, 435-445.

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.