Photo by DeepMind on Unsplash

HIRLAM Weather Model Dataset for Machine Learning

Install DagsHub:

pip install dagshub
Click on copy button to copy content

To stream this data directly on DagsHub

from dagshub.streaming import DagsHubFilesystem

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

fs.listdir("s3://fmi-opendata-rcrhirlam-surface-grib")
Click on copy button to copy content

Description

HIRLAM (High Resolution Limited Area Model) is an operational synoptic and mesoscale weather prediction model managed by the Finnish Meteorological Institute.

Additional information

Update frequency

The data is updated four times a day with analysis hours 00, 06, 12 and 18. Corresponding model runs are available roughly five hours after analysis time (~ after model run has started).

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

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

Launch your ML development to new heights with DagsHub

Back to top