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Hydrodata downloads climate data for a USGS station as well as land use, land cover data for the corresponding watershed.

Project description

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Hydrodata downloads climate data for USGS stations as well as land use, land cover data for the corresponding watershed.

Features

  • Download daily climate data from the Daymet database.

  • Download daily streamflow data from the NWIS database.

  • Compute potential evapotranspiration using ETo package.

  • Download land use, land cover data from NLCD 2016 database.

  • Plot hydrological signature graphs.

Installation

To install Hydrodata, run this command in your terminal:

$ pip install hydrodata

Alternatively, it can be installed from source by first using create_env.sh script to generate two environments using Miniconda framework; one for installing hydrodata and its dependencies and one for running the nhdplus.R script (for downloading a watershed geometry).

$ git clone https://github.com/cheginit/hydrodata.git
$ cd hydrodata
$ ./create_env.sh
$ conda activate hydrodata
$ python setup.py install

Credits

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

History

0.1.6 (2020-02-04)

  • Change docstring format based on Sphinx

  • Fixed pytest warnings and changed its working directory

0.1.5 (2020-02-02)

  • Added an example notebook with datafiles

  • Added docstring for all the functions

  • Added Module section to the documentation

  • Fixed py7zr issue

  • Changed 7z extractor from pyunpack to py7zr

  • Fixed some linting issues.

0.1.0 (2020-01-31)

  • First release on PyPI.

Project details


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