Socket
Socket
Sign inDemoInstall

pcrglobwb-utils

Package Overview
Dependencies
18
Maintainers
1
Alerts
File Explorer

Install Socket

Detect and block malicious and high-risk dependencies

Install

    pcrglobwb-utils

Handy functions to work with PCR-GLOBWB input and output


Maintainers
1

Readme

=============== Overview

.. image:: https://img.shields.io/pypi/v/pcrglobwb_utils.svg :target: https://pypi.python.org/pypi/pcrglobwb_utils

.. image:: https://readthedocs.org/projects/pcrglobwb-utils/badge/?version=latest :target: https://pcrglobwb-utils.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3725813.svg :target: https://doi.org/10.5281/zenodo.3725813 :alt: DOI

.. image:: https://img.shields.io/badge/License-GPLv3-blue.svg :target: https://www.gnu.org/licenses/gpl-3.0 :alt: License

.. image:: https://codecov.io/gh/JannisHoch/pcrglobwb_utils/branch/dev/graph/badge.svg?token=61HVIA952S :target: https://codecov.io/gh/JannisHoch/pcrglobwb_utils :alt: Codecov

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.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter .. _audreyr/cookiecutter-pypackage: https://github.com/audreyr/cookiecutter-pypackage

======= 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

Keywords

FAQs


Did you know?

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc