{ "info": { "author": "Estudo e Monitoramento Brasileiro do Clima Espacial (EMBRACE/INPE)", "author_email": "desenvolvimento.embrace@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3.7", "Topic :: Software Development :: Build Tools" ], "description": "\n\n# TEC and Bias receiver estimation\n[![](https://img.shields.io/github/license/embrace-inpe/swds-api-downloader.svg)](https://github.com/embrace-inpe/swds-api-downloader/blob/master/LICENSE)\n[![](https://img.shields.io/badge/python-3-blue.svg)](https://www.python.org/)\n[![](https://img.shields.io/badge/INPE-EMBRACE-orange.svg)](http://www2.inpe.br/climaespacial/portal/pt/)\n[![](https://img.shields.io/badge/coverave-20%25-orange.svg)](https://github.com/embrace-inpe/swds-api-downloader)\n\nApplication TEC (by station) and receiver bias estimation through GNSS data processing and analysis, used for monitoring of ionospheric terrestrial layer. \n\nPlease, fell free to read more in [EMBRACE](http://www2.inpe.br/climaespacial/portal/pt/).\n\n#### Contributors involved\n###### Departamento de Ci\u00eancias Espaciais e Atmosf\u00e9ricas (CEA-II) - INPE\nDr. Cristiano Max Wrasse (Pesquisador) [_cristiano.wrasse@inpe.br_] \nDr. Cosme A. O. B. Figueiredo [_cosme.figueiredo@inpe.br_] \n\n###### Departamento de Ci\u00eancias Geod\u00e9sicas (UNESP) - Presidente Prudente\nDr. Jo\u00e3o Francisco Galera Monico (Pesquisador) [_galera.monico@unesp.br_] \n\n###### Development team - EMBRACE/INPE\nDr. Rodolfo G. Lotte [_rodolfo.lotte@inpe.br_] \n\n***\n## GNSS's versions file covered:\n- GNSS rinex version 3.01\n- GNSS rinex version 3.02\n- GNSS rinex version 3.03\n\nPS:. The EMBRACE TEC and Bias estimation make use of external library `georinex` for reading rinex files, which includes \nother versions! To read more about, check the [link](https://pypi.org/project/georinex/).\n\n## Features\nThis module includes the calculation of:\n\n- Automatic download and interpretation of Orbit and DCB files, both under MGEX (Multi-GNSS Experiment) format\n- Cycle-Slip correction\n- Relative TEC\n- Slant Factor\n- Daily TEC and receiver bias estimation\n- Absolute TEC\n- Vertical TEC\n\n## Output\nThis module runs for a set of rinex files. For each rinex processed, a python dictionary JSON-like structured is generated.\n\n## Contributing:\n### TODO list: \nOf course, the model is far completed. Besides the TODOs marks into the code, the analysis for another \nsituations are still demanded. If you notice some kind of mistake in the code, or just notice that could improve or \noptimize any method, please, fell free to clone this project and help our team to get better estimates.\n\n### Preparing your environment:\nTo contribute, you have to clone this repository and start your analysis/debugs/ so on.\n\nAfter to clone the repository [git](https://github.com/embrace-inpe/tec) in your local directory, \nthe following the instructions will guide you to execute the model in your computer.\n\n#### 1. Updating your Python\nThe EMBRACE TEC and Bias estimation was developed using version Python 3.7+. If you do not have this version in your computer, an upgrade will be need. \n\nFirst, check the version of your python typing `python -V`. If old versions are diplayed, thus, follow the steps below. For most of Ubuntu users, two versions are available on the OS, `python2.7`, and `python3`, which still do not fill the requirement due the `python3` be usually under version 3.6 (to check this, please, type `python3 -V`). If not, the following steps might solve the problem.\n\nTo start the upgrade, update your system:\n```\nsudo apt-get update && sudo apt-get upgrade && sudo apt-get update\n```\nthen, run:\n```\nsudo apt-get install python3.7\n```\n\nIf everything is ok, edit your `bashrc` file:\n```\nsudo nano ~/.bashrc\n```\nand update the file:\n```\nsource ~/.bashrc\n```\n\nand include at the last line: `alias python=python3.7`. Type:\n```\npython -V\n``` \n\n## Example of use\nAn example of using this package/library, can be found [here](https://github.com/rodolfolotte/tec-example).\n\n## Log\nDownload errors will be listed in `tecmap.log` on root path.\n\n## Help\nAny question or suggestion, please, contact our support sending an email to `desenvolvimento.emabrace@inpe.br` or any \nof the contributers.\n\n\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/embrace-inpe/tec", "keywords": "", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "tec-embrace", "package_url": "https://pypi.org/project/tec-embrace/", "platform": "", "project_url": "https://pypi.org/project/tec-embrace/", "project_urls": { "Homepage": "https://github.com/embrace-inpe/tec" }, "release_url": "https://pypi.org/project/tec-embrace/0.2/", "requires_dist": null, "requires_python": "", "summary": "TEC and receiver bias estimation model", "version": "0.2" }, "last_serial": 5379155, "releases": { "0.2": [ { "comment_text": "", "digests": { "md5": "04d995a151e7f69a2b718f07f1ea617b", "sha256": "7b3161f219d4bcb43d49bd463d0e26232dfb623fe253694cfa888de086907abc" }, "downloads": -1, "filename": "tec_embrace-0.2-py3-none-any.whl", "has_sig": false, "md5_digest": "04d995a151e7f69a2b718f07f1ea617b", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 44355, "upload_time": "2019-06-09T23:39:17", "url": "https://files.pythonhosted.org/packages/44/04/f78b1736f8249a7093535287504d7a0a6ac44b261e714e872c0695861320/tec_embrace-0.2-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "be23cfa141ea5ad595e2d7458c68a9ea", "sha256": "2c5bb61b4c20355f5d2c933c30f591612e8a2e8ad5650c835efe6fdb081a1b1d" }, "downloads": -1, "filename": "tec-embrace-0.2.tar.gz", "has_sig": false, "md5_digest": "be23cfa141ea5ad595e2d7458c68a9ea", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 40150, "upload_time": "2019-06-09T23:39:20", "url": "https://files.pythonhosted.org/packages/fc/34/424be82cabee1f6425e960b05cc11f023b6d1b12774c591398a108c7f47f/tec-embrace-0.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "04d995a151e7f69a2b718f07f1ea617b", "sha256": "7b3161f219d4bcb43d49bd463d0e26232dfb623fe253694cfa888de086907abc" }, "downloads": -1, "filename": "tec_embrace-0.2-py3-none-any.whl", "has_sig": false, "md5_digest": "04d995a151e7f69a2b718f07f1ea617b", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 44355, "upload_time": "2019-06-09T23:39:17", "url": "https://files.pythonhosted.org/packages/44/04/f78b1736f8249a7093535287504d7a0a6ac44b261e714e872c0695861320/tec_embrace-0.2-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "be23cfa141ea5ad595e2d7458c68a9ea", "sha256": "2c5bb61b4c20355f5d2c933c30f591612e8a2e8ad5650c835efe6fdb081a1b1d" }, "downloads": -1, "filename": "tec-embrace-0.2.tar.gz", "has_sig": false, "md5_digest": "be23cfa141ea5ad595e2d7458c68a9ea", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 40150, "upload_time": "2019-06-09T23:39:20", "url": "https://files.pythonhosted.org/packages/fc/34/424be82cabee1f6425e960b05cc11f023b6d1b12774c591398a108c7f47f/tec-embrace-0.2.tar.gz" } ] }