{ "info": { "author": "Felix Zaussinger", "author_email": "felix.zaussinger@geo.tuwien.ac.at", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Programming Language :: Python" ], "description": "=====\nmerra\n=====\n\n.. image:: https://travis-ci.org/TUW-GEO/merra.svg?branch=master\n :target: https://travis-ci.org/TUW-GEO/merra\n\n.. image:: https://readthedocs.org/projects/merra2/badge/?version=latest\n :target: https://merra2.readthedocs.io/en/latest/?badge=latest\n\n.. image:: https://coveralls.io/repos/github/TUW-GEO/merra/badge.svg?branch=master\n :target: https://coveralls.io/github/TUW-GEO/merra?branch=master\n\nThe package provides readers and converters for the Land Surface Diagnostics\nwithin the Modern-Era Retrospective analysis for Research and Applications\nversion 2 (MERRA-2). MERRA-2 is a NASA atmospheric reanalysis integrating\nsatellite data assimilation and aims at historical climate analyses.\nMERRA-2 covers Land Surface Diagnostics for the period 1980-present\nat 0.5 \u00b0 x 0.625 \u00b0 spatial- and 1-hourly temporal-resolution.\n\nThe structure of the package is as follows:\n\n* grid.py : implements the asymmetrical GMAO 0.5 x 0.625 grid\n* interface.py : classes for reading a single image, image stacks and time series\n* reshuffle.py : provides a command line utility for reshuffling a stack of 1-hourly sampled native images to time series format with an arbitraty temporal sampling between 1-hour and daily\n* download.py : command line utility for downloading MERRA-2 data from the NASA GES DISC datapool\n\nInstallation\n============\n\nFor developers, it is recommended to first clone the repository and then\nuse the provided environment.yml file to install all needed conda and pip\ndependencies:\n\n.. code-block:: shell\n\n git clone https://github.com/TUW-GEO/merra.git --recursive\n cd merra\n conda create -n merra python=3.7 # or any supported python version\n source activate merra\n conda update -f environment.yml\n python setup.py develop\n\n\nSupported Products\n==================\n\n- `M2T1NXLND: MERRA-2 tavg1_2d_lnd_Nx `_: MERRA-2 2d, 1-Hourly, Time-Averaged, Single-Level, Assimilation, Land Surface Diagnostics V5.12.4\n\n\nContribute\n==========\n\nWe are happy if you want to contribute. Please raise an issue explaining what\nis missing or if you find a bug. We will also gladly accept pull requests\nagainst our master branch for new features or bug fixes.\n\n\nGuidelines\n----------\n\nIf you want to contribute please follow these steps:\n\n- Fork the merra repository to your account\n- make a new feature branch from the merra master branch\n- Add your feature\n- please include tests for your contributions in one of the test directories\n We use py.test so a simple function called test_my_feature is enough\n- submit a pull request to our master branch", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/TUW-GEO/merra", "keywords": "", "license": "none", "maintainer": "", "maintainer_email": "", "name": "merra", "package_url": "https://pypi.org/project/merra/", "platform": "", "project_url": "https://pypi.org/project/merra/", "project_urls": { "Homepage": "https://github.com/TUW-GEO/merra" }, "release_url": "https://pypi.org/project/merra/0.1/", "requires_dist": null, "requires_python": "", "summary": "Readers and converters for data from the MERRA2 reanalysis Model.", "version": "0.1" }, "last_serial": 5150076, "releases": { "0.1": [ { "comment_text": "", "digests": { "md5": "6f18713bb9ccba2332bc0311d0d88f76", "sha256": "77c028d13e8ce5c0dfec3c7e0a56bada63eafe592d7317e25c6ecbb2fcbb67e4" }, "downloads": -1, "filename": "merra-0.1.tar.gz", "has_sig": false, "md5_digest": "6f18713bb9ccba2332bc0311d0d88f76", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 25228, "upload_time": "2019-03-04T11:15:36", "url": "https://files.pythonhosted.org/packages/55/2c/e6d030579c60c17dce859a978000e6d1c518d15bffef9c9369c6b3c56a25/merra-0.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "6f18713bb9ccba2332bc0311d0d88f76", "sha256": "77c028d13e8ce5c0dfec3c7e0a56bada63eafe592d7317e25c6ecbb2fcbb67e4" }, "downloads": -1, "filename": "merra-0.1.tar.gz", "has_sig": false, "md5_digest": "6f18713bb9ccba2332bc0311d0d88f76", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 25228, "upload_time": "2019-03-04T11:15:36", "url": "https://files.pythonhosted.org/packages/55/2c/e6d030579c60c17dce859a978000e6d1c518d15bffef9c9369c6b3c56a25/merra-0.1.tar.gz" } ] }