Using the geoglows Python Package to perform the Bias Correction on Streamflow data.

Description

The GEOGloWS ECMWF Streamflow Services generates a historical simulation from 1979-present based on weather data records. However, the model often has bias, commonly overpredicting streamflow. When observed streamflow data is available on a stream, we can use that data to improve the historical simulation and forecast model. This process is called bias correction.

This tutorial will show you how to perform a bias correction on streamflow data using the geoglows Python Package.

Accessing the training material

To access the training material, you can use the following link: https://training.geoglows.org/en/latest/content/streamflow-model/bias-correction.html

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