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NOAA Space Weather Forecast and Observation Data Dataset for Machine Learning

Install DagsHub:

pip install dagshub
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To stream this data directly on DagsHub

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/noaa-space-weather-dataset")

fs.listdir("s3://noaa-swpc-pds")
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Description

Space weather forecast and observation data is collected and disseminated by NOAA’s Space Weather Prediction Center (SWPC) in Boulder, CO. SWPC produces forecasts for multiple space weather phenomenon types and the resulting impacts to Earth and human activities. A variety of products are available that provide these forecast expectations, and their respective measurements, in formats that range from detailed technical forecast discussions to NOAA Scale values to simple bulletins that give information in laymen’s terms. Forecasting is the prediction of future events, based on analysis and modeling of the past and present conditions of the environment you are interested in. In Space Weather, persistence and recurrence of active regions on the sun over the 27-day solar rotational period play an important role in accurately forecasting the space environment.

Additional information

Update frequency

The update frequencies of the space weather dataset range from one minute observations to daily and monthly updates of more slowly-varying indices

License

Open Data. There are no restrictions on the use of this data.

Related datasets

Atmospheric Models from Météo-France

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Coupled Model Intercomparison Project Phase 5 (CMIP5) University of Wisconsin-Madison Probabilistic Downscaling Dataset

Earth Radio Occultation

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