nasapower-s3 1.0.0

A universal, secure, and fast interface for NASA POWER S3 data.

nasapower-s3

A universal, secure, and fast interface for accessing NASA POWER data directly from AWS S3 Zarr stores.

Features

• High Speed: Access data directly from S3 using Zarr (cloud-optimized file format).
• Universal: Supports Daily, Hourly, and Monthly temporal scales.
• Easy: Returns standard pandas DataFrames.
• Secure: No AWS credentials required (anonymous access).

Installation

pip install nasapower-s3

Usage

from nasapower_s3 import NasaPowerS3

# Initialize client
client = NasaPowerS3()

# Fetch data (Meteorology)
df = client.get_data(
    lat=30.6,
    lon=-96.3,
    start_date="2023-01-01",
    end_date="2023-01-10",
    variables=["T2M", "PRECTOTCORR"],
    frequency="daily",
    collection="meteorology"  # Default
)

# Fetch Solar data
df_solar = client.get_data(
    lat=30.6,
    lon=-96.3,
    start_date="2023-01-01",
    end_date="2023-01-10",
    variables=["ALLSKY_SFC_SW_DWN"],
    frequency="daily",
    collection="solar"
)

print(df.head())

Available Data

The library supports:

• Collections: meteorology (MERRA-2) and solar (SRB)
• Frequencies: daily, hourly, monthly, climatology

For a full list of variables, refer to the NASA POWER API Docs.

Data License & Attribution

The code in this repository is licensed under MIT. The data accessed from NASA POWER is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).

Attribution:

"These data were obtained from the NASA Langley Research Center POWER Project funded through the NASA Earth Science Directorate Applied Science Program."

Contributing

We welcome contributions! Please see CONTRIBUTING.md for details.

1. Fork the repo
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.