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Handy functions to work with PCR-GLOBWB input and output

Project description

Overview

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

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.

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.

History

0.1.3 (2020-05-07)

  • Analysing the water balance components of a PCR-GLOBWB run

  • Calculating statistics of ensemble output and plotting it

0.1.2 (2020-04-23)

Additional functionality.

  • Added functions for temporal aggregation (daily to monthly, daily to yearly)

  • Statistics of simulated discharge (mean, max, min etc) can be computed

0.1.1 (2020-04-20)

Minor updates.

  • Moved towards object based programming

  • Reading from ‘normal’ csv-files supported now

0.1.0 (2020-03-24)

First stable release with minimal functionality.

  • Extracting timeseries from netCDF-files for certain lon/lat

  • Reading of GRDC station files and extracting meta-data

  • Aggregating daily values to monthly averages

  • Validating timeseries of observed and simulated values for common time period

  • Provision of example data and jupyter notebook

  • (Shell)scripts for validating and benchmarking timeseries

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