geoglows
The geoglows Python package enables access to data, API’s, and code developed for the GEOGLOWS Streamflow Model. Read more about GEOGLOWS at https://geoglows.org
Demos
These links will be maintained to reference the most updated versions of the tutorials. The tutorials are GitHub Gists which you can copy and launch in a Google Collaboratory setting directly from the GitHub.
Retrieve & plot GEOGLOWS model data: https://gist.github.com/rileyhales/873896e426a5bd1c4e68120b286bc029
Finding Stream ID #’s programmatically: https://gist.github.com/rileyhales/ad92d1fce3aa36ef5873f2f7c2632d31
Bias Evaluation and Calibration at a point: https://gist.github.com/rileyhales/d5290e12b5858d59960d0898fbd0ed69
Generate/Download High Res Plot Images: https://gist.github.com/rileyhales/9b5bbb0c5f307eb14b9f1ced39d641e4
About GEOGLOWS ECMWF Streamflow
GEOGLOWS ECMWF Streamflow Project: This project provides access to the results of a hydrologic model that is run each day. The model is based on a group of unique weather forecasts, known as an ensemble, from ECMWF. Each unique precipitation forecast, known as an ensemble member, produces a unique streamflow forecast. There are 52 members of the ensemble that drives the model each day. The ERA-5 historical precipitation dataset to also used to produce a hindcasted streamflow on each river. Read more here.