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NOAA Climate Forecast System (CFS) 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-cfs-dataset")

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

The Climate Forecast System (CFS) is a model representing the global interaction between Earth’s oceans, land, and atmosphere. Produced by several dozen scientists under guidance from the National Centers for Environmental Prediction (NCEP), this model offers hourly data with a horizontal resolution down to one-half of a degree (approximately 56 km) around Earth for many variables. CFS uses the latest scientific approaches for taking in, or assimilating, observations from data sources including surface observations, upper air balloon observations, aircraft observations, and satellite observations.
Please note that the data in this bucket are the CFSv2 Operational Forecasts. To obtain other CFSv2 products such as the Operational Analysis, please visit our website.

Additional information

Update frequency

Hourly, 6-Hourly, and Monthly

License

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

Related datasets

Atmospheric Models from Météo-France

CAFE60 reanalysis

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

Earth Radio Occultation

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