1. Overview#

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Handy functions to work with PCR-GLOBWB input and output.

1.1. Features#

Most mature:

  • evaluation of timeseries simulated by PCR-GLOBWB with observations from GRDC.

    • multiple GRDC-stations and properties can be provided via a yml-file.

    • using command line functions and wide range of user-defined options.

  • command line functions to validate model output against GRACE and GLEAM data for multiple polygons.

Other:

  • aggregating and averaging over time scales.

  • water balance assessments of PCR-GLOBWB runs.

  • statistical analyses.

  • ensemble analysis.

1.2. Credits#

Contributions from Jannis M. Hoch (j.m.hoch@uu.nl).

The package structure was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.