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from dagshub.streaming import DagsHubFilesystem
fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/smn-ar-wrf-dataset-dataset")
fs.listdir("s3://smn-ar-wrf")
The Servicio Meteorológico Nacional de Argentina (SMN-Arg), the National Meteorological Service of Argentina, shares its deterministic forecasts generated with WRF 4.0 (Weather and Research Forecasting) initialized at 00 and 12 UTC every day.
This forecast includes some key hourly surface variables –2 m temperature, 2 m relative humidity, 10 m wind magnitude and direction, and precipitation–, along with other daily variables, minimum and maximum temperature.
The forecast covers Argentina, Chile, Uruguay, Paraguay and parts of Bolivia and Brazil in a Lambert conformal projection, with 4 km horizontal resolution. The maximum lead time is 72 hours.
Forecasts are initialized with the NCEP-NOAA Global Forecast Systems analysis and forecasts (GFS).
The Servicio Meteorológico Nacional de Argentina (SMN-Arg), the National Meteorological Service of Argentina, shares its deterministic forecasts generated with WRF 4.0 (Weather and Research Forecasting) initialized at 00 and 12 UTC every day.
This forecast includes some key hourly surface variables –2 m temperature, 2 m relative humidity, 10 m wind magnitude and direction, and precipitation–, along with other daily variables, minimum and maximum temperature.
The forecast covers Argentina, Chile, Uruguay, Paraguay and parts of Bolivia and Brazil in a Lambert conformal projection, with 4 km horizontal resolution. The maximum lead time is 72 hours.
Forecasts are initialized with the NCEP-NOAA Global Forecast Systems analysis and forecasts (GFS).
New data is added as soon as it's available. Two forecast cycles a day initialized at 00 UTC and 12 UTC.
aws-pds, earth observation, natural resource, weather, meteorological, sustainability
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