ldicarlo1/weather_forecast_bias_correction
A simple bias correction of temperature, dew point, and 10m wind speeds for the GFS, HRRR, and ECMWF models for two US locations.
This tool helps meteorologists and weather analysts improve the accuracy of temperature, dew point, and wind speed predictions from common weather models like GFS, HRRR, and ECMWF. By taking raw forecast data, it applies machine learning to produce more reliable, bias-corrected weather forecasts. Weather-dependent professionals, such as agricultural planners, energy traders, or event organizers, would benefit from these enhanced predictions.
No commits in the last 6 months.
Use this if you need to make more accurate decisions based on standard weather model outputs for specific US locations.
Not ideal if you require real-time, global forecast bias correction or adjustments for other meteorological parameters beyond temperature, dew point, and wind speed.
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Language
Jupyter Notebook
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Last pushed
Oct 04, 2021
Commits (30d)
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