ea0f3e13-8ec9-4424-bb8c-8fc4d79edce3 eng utf8 software Ryan May Unidata Software Engineer/Programmer 303-497-8679 rmay@ucar.edu pointOfContact 2018-03-27T23:17:45 ISO 19115 Geographic Information - Metadata ISO19115:2003/Cor 1 2006 https://doi.org/10.5065/D6WW7G29 European Petroleum Survey Group (EPSG) Geodetic Parameter Registry 2008-11-12 publication European Petroleum Survey Group http://www.epsg-registry.org/ originator urn:ogc:def:crs:EPSG:4326 6.18.3 https://unidata.github.io/MetPy/ Documentation Online user and API documentation information https://github.com/Unidata/MetPy GitHub GitHub repository of MetPy source code download MetPy 2015-05-01 publication 1.0.0 2020-12-23 Ryan May Unidata Software Engineer/Programmer author John Leeman Unidata Software Engineer/Programmer author Seam Arms Unidata Software Engineer/Programmer author Patrick Marsh author Eric Bruning author UCAR/UCP - Unidata P.O. Box 3000 Boulder CO 80307 USA support-python@unidata.ucar.edu https://www.unidata.ucar.edu publisher 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. We would like to acknowledge the use of MetPy (doi:10.5065/D6WW7G29), a project supported by UCAR/Unidata. onGoing Ryan May Unidata Software Engineer/Programmer 303-497-8679 support-python@unidata.ucar.edu pointOfContact asNeeded ZIP Software theme Resource Type 2017-08-15 publication DataCite Metadata Working Group support@datacite.org https://groups.google.com/forum/?hl=en&fromgroups#!forum/datacite-metadata originator BSD 3 clause license https://raw.githubusercontent.com/Unidata/MetPy/master/LICENSE None eng utf8 climatologyMeteorologyAtmosphere Python ZIP UCAR/UCP - Unidata P.O. Box 3000 Boulder CO 80307 USA support-python@unidata.ucar.edu https://www.unidata.ucar.edu distributor 1.6 https://pypi.org/project/MetPy/ Python Package Index General Python package hosting for installation using pip. download 0.5 https://anaconda.org/conda-forge/metpy Anaconda packages Packages for use with the conda package manager. download none asNeeded