{ "info": { "author": "Kevin Smalley", "author_email": "ksmalley@tamu.edu", "bugtrack_url": null, "classifiers": [ "Development Status :: 2 - Pre-Alpha", "Environment :: Console", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Operating System :: MacOS", "Operating System :: POSIX :: Linux", "Programming Language :: C", "Programming Language :: C++", "Programming Language :: Cython", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Scientific/Engineering :: Atmospheric Science" ], "description": "# CloudSat Object Manipulation\n\n[![Build Status](https://img.shields.io/pypi/v/cloudsat_object_manipulation.svg?branch=master)(https://pypi.python.org/pypi/cloudsat_object_manipulation)\n[![PyPI](https://pypi.python.org/pypi/cloudsat_object_manipulation)]\n[![PyPI - Python Version](https://pypi.python.org/pypi/cloudsat_object_manipulation)]\n[![PyPI - Implimentation](https://pypi.python.org/pypi/cloudsat_object_manipulation)]\n\n\nThis package contains a set of packages and command line plugins that can identify indidual cloud objects along CloudSat's orbit and their associated properties (i.e. cloud type, size, precipitating)\n\n\n* Free software: MIT license\n* Documentation: https://cloudsat-object-manipulation.readthedocs.io.\n\n## Instalation\nTo install cloudsat_object_manipulation\n\n```bash\n$ pip install cloudsat-object-manipulation\n```\n\n# Features\n\n* Cloud Object Identification\n\n * Explain Functionality\n\n* Land Sea Mask Matching\n\n * Explain Functionality\n\n* Precipitating Cloud Identification\n\n * Explain Functionality\n\n* Cloud Type Identification\n\n * Explain Functionality\n\n\n# Credits\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n=======\nHistory\n=======\n\n0.1.0 (2019-08-18)\n------------------\n\n* First release on PyPI.\n\n0.1.1 (2019-08-19)\n------------------\n\n* Added land sea mask plugin\n\n0.1.2 (2019-08-20)\n------------------\n\n* Added pypi classifiers\n\n0.1.4 (2019-08-22)\n------------------\n\n* Added precipitation matching functionality\n\n0.1.5 (2019-08-23)\n------------------\n\n* added conditional function that checks if rain rate and/or rain function exist in the output netcdf4 do not run functions to find rain rate and rain fraction\n\n* added conditional check if the input h5 file does not exist to remove output netcdf file\n\n0.1.6 (2019-08-23)\n------------------\n\n* testing a new way using c extension to match cloud top, base, and thickness\n\n0.1.7 (2019-08-23)\n------------------\n\n* Added function to identify warm clouds\n\n* Added function to match reanalysis (currently only tested with ERA-Interim) LTS to cloudsat objects\n\n* LTS matching function currently written in pure python, but is being tested as a c-extension\n\n0.1.8 (2019-08-26)\n------------------\n\n* added getcwd to functions imported from the os package in the cloud_type identification package\n\n* Updated readme and began writing the usage part of the documentation\n\n0.1.10 (2019-08-27)\n-------------------\n\n* added command line executable that matches total column water vapor (currently only using ERA-Interim) to cloudsat objects\n\n0.1.11 (2019-09-09)\n-------------------\n\n* added command line executable that matches relative humidity below 3 km (currently only using ERA-Interim) to cloudsat objects\n\n\n", 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