MetPy
MetPy is a collection of tools in Python for reading, visualizing, and performing calculations with weather data. The space MetPy aims for is GEMPAK (and maybe NCL)-like functionality, in a way that plugs easily into the existing scientific Python ecosystem (numpy, scipy, matplotlib). So, if you take the average GEMPAK script for a weather map, you need to: - read data - calculate a derived field - show on a map/skew-T One of the benefits hoped to achieve over GEMPAK is to make it easier to use these routines for any meteorological Python application; this means making it easy to pull out the LCL calculation and just use that, or re-use the Skew-T with your own data code. MetPy also prides itself on being well-documented and well-tested, so that on-going maintenance is easily manageable. The intended audience is that of GEMPAK: researchers, educators, and any one wanting to script up weather analysis. It doesn't even have to be scripting; all python meteorology tools are hoped to be able to benefit from MetPy. Conversely, it's hoped to be the meteorological equivalent of the audience of scipy/scikit-learn/skimage.
software
https://pypi.org/project/MetPy/
name: Python Package Index
description: General Python package hosting for installation using pip.
function: download
https://anaconda.org/conda-forge/metpy
name: Anaconda packages
description: Packages for use with the conda package manager.
function: download
eng
urn:ogc:def:crs:EPSG:4326
climatologyMeteorologyAtmosphere
Software
publication
2017-08-15
publication
2015-05-01
asNeeded
ZIP
BSD 3 clause license https://raw.githubusercontent.com/Unidata/MetPy/master/LICENSE
None
Software Engineer/Programmer
Unidata
303-497-8679
support-python@unidata.ucar.edu
pointOfContact
Software Engineer/Programmer
Unidata
303-497-8679
pointOfContact
2018-03-27T23:17:45