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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
---
<!-- This file is uploaded as the Hugging Face dataset README; keep content user-facing (no internal maintainer or upload-only notes). -->
# BSRN NSRDB PSM v4 conus
Point-extracted [NSRDB (National Solar Radiation Database)](https://nsrdb.nrel.gov/) PSM v4 (conus variant) data for [Baseline Surface Radiation Network (BSRN)](https://bsrn.awi.de/) 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
```python
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.
```python
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
- **NSRDB**: [NREL National Solar Radiation Database](https://nsrdb.nrel.gov/)
- **API**: [NREL Developer Network (NLR)](https://developer.nrel.gov/)
- **Station inventory**: BSRN FTP
## 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](https://github.com/dazhiyang/bsrn).
## License
NSRDB data is provided by NREL and is subject to their [Data Usage Policy](https://nsrdb.nrel.gov/about/data-usage).
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