{
    "info": {
        "author": "Neil C. Swart",
        "author_email": "Neil.Swart@canada.ca",
        "bugtrack_url": null,
        "classifiers": [],
        "description": "cmipdata\n========\n\n.. image:: https://zenodo.org/badge/doi/10.5281/zenodo.33229.svg\n   :target: http://dx.doi.org/10.5281/zenodo.33229\n\nIntroduction\n------------\n\n**cmipdata** is a python package for preprocessing and analysis of climate model \ndata in standardized NetCDF files, such as those used in the Coupled Model \nIntercomparison Project (CMIP). With cmipdata processing hundreds of NetCDF files \nthat make up a large model ensemble is easy. **cmipdata** is the python wrapper \nthat intelligently interfaces with the ensemble of model data, while the underlying \ndata processing is done efficiently and transparently using \n`Climate Data Operators (cdo) <https://code.zmaw.de/projects/cdo>`_. \nLimited functionality for loading processed data into `numpy \n<http://sourceforge.net/project/showfiles.php?group_id=1369&package_id=175103>`_ \narrays and making basic plots is also provided. \n\nCommon operations and some example analyses that can be applied across the whole \nmodel ensemble with only one or two commands are:\n\n* joining model time-slices (or experiments)\n* spatial remapping to a common grid\n* selecting a specific time-interval or spatial region\n* computing a climatology or an anomaly\n* calculating an area mean or integral\n* calculating more advanced metrics such as Arctic sea-ice extent\n\nDocumentation\n-------------\nDocumentation is rendered at https://cmipdata.readthedocs.org and is included in the \ndocs/ directory.\n\n.. image:: https://readthedocs.org/projects/cmipdata/badge/?version=latest\n   :target: https://readthedocs.org/projects/cmipdata/?badge=latest\n   :alt: Documentation Status\n\nContributors\n------------\nNeil Swart, CCCma, Environment Canada: Neil.Swart@canada.ca\n\nDavid Fallis, University of Victoria:  davidwfallis@gmail.com\n\nPull requests and comments are welcome.\n\nLICENSE\n-------\n\nSee the LICENSE.txt file in the cmipdata package. cmipdata is distributed\nunder the GNU General Public License version 2, and the Open Government \nLicense - Canada (http://data.gc.ca/eng/open-government-licence-canada)",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "https://github.com/swartn/cmipdata/archive/v0.6.zip",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/swartn/cmipdata",
        "keywords": "climate,data,CMIP5,CMIP6,NetCDF,analysis,processing",
        "license": "LICENSE.txt",
        "maintainer": null,
        "maintainer_email": null,
        "name": "cmipdata",
        "package_url": "https://pypi.org/project/cmipdata/",
        "platform": "UNKNOWN",
        "project_url": "https://pypi.org/project/cmipdata/",
        "project_urls": {
            "Download": "https://github.com/swartn/cmipdata/archive/v0.6.zip",
            "Homepage": "https://github.com/swartn/cmipdata"
        },
        "release_url": "https://pypi.org/project/cmipdata/0.6/",
        "requires_dist": null,
        "requires_python": null,
        "summary": "Processing tools for large ensembles of CMIP type netcdf data",
        "version": "0.6"
    },
    "last_serial": 2060395,
    "releases": {
        "0.6": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "424b2f5f237f3874ba8815db6b08b5d9",
                    "sha256": "472b321303746e1027f9b4d1fec53fe8b958cbd11c3e893c233858fb3176055c"
                },
                "downloads": -1,
                "filename": "cmipdata-0.6.tar.gz",
                "has_sig": false,
                "md5_digest": "424b2f5f237f3874ba8815db6b08b5d9",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 19412,
                "upload_time": "2016-04-12T17:17:26",
                "url": "https://files.pythonhosted.org/packages/8c/6c/34ddab6f8a088d41490fa52ef4503078db7f0765e001e1b3bc053f7448bb/cmipdata-0.6.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "424b2f5f237f3874ba8815db6b08b5d9",
                "sha256": "472b321303746e1027f9b4d1fec53fe8b958cbd11c3e893c233858fb3176055c"
            },
            "downloads": -1,
            "filename": "cmipdata-0.6.tar.gz",
            "has_sig": false,
            "md5_digest": "424b2f5f237f3874ba8815db6b08b5d9",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 19412,
            "upload_time": "2016-04-12T17:17:26",
            "url": "https://files.pythonhosted.org/packages/8c/6c/34ddab6f8a088d41490fa52ef4503078db7f0765e001e1b3bc053f7448bb/cmipdata-0.6.tar.gz"
        }
    ]
}