# pypromice
[](https://badge.fury.io/py/pypromice) [](https://anaconda.org/conda-forge/pypromice) [](https://anaconda.org/conda-forge/pypromice) [](https://www.doi.org/10.22008/FK2/3TSBF0) [](https://doi.org/10.21105/joss.05298) [](https://pypromice.readthedocs.io/en/latest/?badge=latest)
pypromice is designed for processing and handling [PROMICE](https://promice.org) automated weather station (AWS) data.
It is envisioned for pypromice to be the go-to toolbox for handling and processing [PROMICE](https://promice.dk) and [GC-Net](http://cires1.colorado.edu/steffen/gcnet/) datasets. New releases of pypromice are uploaded alongside PROMICE AWS data releases to our [Dataverse](https://dataverse.geus.dk/dataverse/PROMICE) for transparency purposes and to encourage collaboration on improving our data. Please visit the pypromice [readthedocs](https://pypromice.readthedocs.io/en/latest/?badge=latest) for more information.
If you intend to use PROMICE AWS data and/or pypromice in your work, please cite these publications below, along with any other applicable PROMICE publications where possible:
**Fausto, R.S., van As, D., Mankoff, K.D., Vandecrux, B., Citterio, M., Ahlstrøm, A.P., Andersen, S.B., Colgan, W., Karlsson, N.B., Kjeldsen, K.K., Korsgaard, N.J., Larsen, S.H., Nielsen, S., Pedersen, A.Ø., Shields, C.L., Solgaard, A.M., and Box, J.E. (2021) Programme for Monitoring of the Greenland Ice Sheet (PROMICE) automatic weather station data, Earth Syst. Sci. Data, 13, 3819–3845, [https://doi.org/10.5194/essd-13-3819-2021](https://doi.org/10.5194/essd-13-3819-2021)**
**How, P., Wright, P.J., Mankoff, K., Vandecrux, B., Fausto, R.S. and Ahlstrøm, A.P. (2023) pypromice: A Python package for processing automated weather station data, Journal of Open Source Software, 8(86), 5298, [https://doi.org/10.21105/joss.05298](https://doi.org/10.21105/joss.05298)**
**How, P., Lund, M.C., Nielsen, R.B., Ahlstrøm, A.P., Fausto, R.S., Larsen, S.H., Mankoff, K.D., Vandecrux, B., Wright, P.J. (2023) pypromice, GEUS Dataverse, [https://doi.org/10.22008/FK2/3TSBF0](https://doi.org/10.22008/FK2/3TSBF0)**
## Installation
### Quick install
The latest release of pypromice can installed using conda or pip:
```
$ conda install pypromice -c conda-forge
```
```
$ pip install pypromice
```
For the most up-to-date version, pypromice can be installed directly from the repo:
```
$ pip install --upgrade git+http://github.com/GEUS-Glaciology-and-Climate/pypromice.git
```
### Developer install
pypromice can be ran in an environment with the pypromice repo:
```
$ conda create --name pypromice python=3.8
$ conda activate pypromice
$ git clone git@github.com:GEUS-Glaciology-and-Climate/pypromice.git
$ cd pypromice/
$ pip install .
```
### Additional dependencies
Additional packages are required if you wish to use pypromice's post-processing functionality.
[eccodes](https://confluence.ecmwf.int/display/ECC/ecCodes+installation) is the official package for BUFR encoding and decoding. Try firstly to install with conda-forge like so:
```
$ conda install -c conda-forge eccodes
```
If the environment cannot resolve the eccodes installation then follow the steps documented [here](https://gist.github.com/MHBalsmeier/a01ad4e07ecf467c90fad2ac7719844a) to download eccodes and then install eccodes' python bindings using pip.
```
$ pip3 install eccodes-python
```
Raw data
{
"_id": null,
"home_page": "https://github.com/GEUS-Glaciology-and-Climate/pypromice",
"name": "pypromice",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": null,
"keywords": "promice gc-net aws climate glaciology greenland geus",
"author": "GEUS Glaciology and Climate",
"author_email": null,
"download_url": "https://files.pythonhosted.org/packages/61/4c/941e05f00a3a1b24e1af83e1ca74671e7fe9dde77992bdcf21dc38dffc5d/pypromice-1.3.5.tar.gz",
"platform": null,
"description": "# pypromice\n[](https://badge.fury.io/py/pypromice) [](https://anaconda.org/conda-forge/pypromice) [](https://anaconda.org/conda-forge/pypromice) [](https://www.doi.org/10.22008/FK2/3TSBF0) [](https://doi.org/10.21105/joss.05298) [](https://pypromice.readthedocs.io/en/latest/?badge=latest)\n \npypromice is designed for processing and handling [PROMICE](https://promice.org) automated weather station (AWS) data.\n\nIt is envisioned for pypromice to be the go-to toolbox for handling and processing [PROMICE](https://promice.dk) and [GC-Net](http://cires1.colorado.edu/steffen/gcnet/) datasets. New releases of pypromice are uploaded alongside PROMICE AWS data releases to our [Dataverse](https://dataverse.geus.dk/dataverse/PROMICE) for transparency purposes and to encourage collaboration on improving our data. Please visit the pypromice [readthedocs](https://pypromice.readthedocs.io/en/latest/?badge=latest) for more information. \n\nIf you intend to use PROMICE AWS data and/or pypromice in your work, please cite these publications below, along with any other applicable PROMICE publications where possible:\n\n**Fausto, R.S., van As, D., Mankoff, K.D., Vandecrux, B., Citterio, M., Ahlstr\u00f8m, A.P., Andersen, S.B., Colgan, W., Karlsson, N.B., Kjeldsen, K.K., Korsgaard, N.J., Larsen, S.H., Nielsen, S., Pedersen, A.\u00d8., Shields, C.L., Solgaard, A.M., and Box, J.E. (2021) Programme for Monitoring of the Greenland Ice Sheet (PROMICE) automatic weather station data, Earth Syst. Sci. Data, 13, 3819\u20133845, [https://doi.org/10.5194/essd-13-3819-2021](https://doi.org/10.5194/essd-13-3819-2021)**\n\n**How, P., Wright, P.J., Mankoff, K., Vandecrux, B., Fausto, R.S. and Ahlstr\u00f8m, A.P. (2023) pypromice: A Python package for processing automated weather station data, Journal of Open Source Software, 8(86), 5298, [https://doi.org/10.21105/joss.05298](https://doi.org/10.21105/joss.05298)** \n\n**How, P., Lund, M.C., Nielsen, R.B., Ahlstr\u00f8m, A.P., Fausto, R.S., Larsen, S.H., Mankoff, K.D., Vandecrux, B., Wright, P.J. (2023) pypromice, GEUS Dataverse, [https://doi.org/10.22008/FK2/3TSBF0](https://doi.org/10.22008/FK2/3TSBF0)** \n\n## Installation\n\n### Quick install\n\nThe latest release of pypromice can installed using conda or pip:\n\n```\n$ conda install pypromice -c conda-forge\n```\n\n```\n$ pip install pypromice\n```\n\nFor the most up-to-date version, pypromice can be installed directly from the repo: \n\n```\n$ pip install --upgrade git+http://github.com/GEUS-Glaciology-and-Climate/pypromice.git\n```\n\n### Developer install\n\t\npypromice can be ran in an environment with the pypromice repo:\n\n```\n$ conda create --name pypromice python=3.8\n$ conda activate pypromice\n$ git clone git@github.com:GEUS-Glaciology-and-Climate/pypromice.git\n$ cd pypromice/\n$ pip install .\n```\n\n### Additional dependencies\n\nAdditional packages are required if you wish to use pypromice's post-processing functionality. \n\n[eccodes](https://confluence.ecmwf.int/display/ECC/ecCodes+installation) is the official package for BUFR encoding and decoding. Try firstly to install with conda-forge like so:\n\n```\n$ conda install -c conda-forge eccodes\n```\n\nIf the environment cannot resolve the eccodes installation then follow the steps documented [here](https://gist.github.com/MHBalsmeier/a01ad4e07ecf467c90fad2ac7719844a) to download eccodes and then install eccodes' python bindings using pip.\n\n```\n$ pip3 install eccodes-python\n```\n\n",
"bugtrack_url": null,
"license": null,
"summary": "PROMICE/GC-Net data processing toolbox",
"version": "1.3.5",
"project_urls": {
"Bug Tracker": "https://github.com/GEUS-Glaciology-and-Climate/pypromice/issues",
"Documentation": "https://pypromice.readthedocs.io",
"Homepage": "https://github.com/GEUS-Glaciology-and-Climate/pypromice",
"Source Code": "https://github.com/GEUS-Glaciology-and-Climate/pypromice"
},
"split_keywords": [
"promice",
"gc-net",
"aws",
"climate",
"glaciology",
"greenland",
"geus"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "dfd98d2e73641c9eb8dac5f59b704b858b0409d794f061c03e781d937906c55e",
"md5": "cb5f7ce5bfb6275e65c7bb927d4b1ca8",
"sha256": "d5de85f3a27f114b3de7c9fb8095d49149b3dd4d65f3f1556611e734b989d0ec"
},
"downloads": -1,
"filename": "pypromice-1.3.5-py3-none-any.whl",
"has_sig": false,
"md5_digest": "cb5f7ce5bfb6275e65c7bb927d4b1ca8",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 2200591,
"upload_time": "2024-04-25T06:17:12",
"upload_time_iso_8601": "2024-04-25T06:17:12.423682Z",
"url": "https://files.pythonhosted.org/packages/df/d9/8d2e73641c9eb8dac5f59b704b858b0409d794f061c03e781d937906c55e/pypromice-1.3.5-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "614c941e05f00a3a1b24e1af83e1ca74671e7fe9dde77992bdcf21dc38dffc5d",
"md5": "c6386e5955fb993cf9e2f24d03961588",
"sha256": "9f98dfde032876839756df9f7c5fa9994f091579d6603de3e2908de63c316144"
},
"downloads": -1,
"filename": "pypromice-1.3.5.tar.gz",
"has_sig": false,
"md5_digest": "c6386e5955fb993cf9e2f24d03961588",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.8",
"size": 2166129,
"upload_time": "2024-04-25T06:17:13",
"upload_time_iso_8601": "2024-04-25T06:17:13.947885Z",
"url": "https://files.pythonhosted.org/packages/61/4c/941e05f00a3a1b24e1af83e1ca74671e7fe9dde77992bdcf21dc38dffc5d/pypromice-1.3.5.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-04-25 06:17:13",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "GEUS-Glaciology-and-Climate",
"github_project": "pypromice",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "pypromice"
}
JSON
