pypromice
Deliver data about the mass balance of the Greenland ice sheet in near real-time.
https://github.com/GEUS-Glaciology-and-Climate/pypromice
Category: Cryosphere
Sub Category: Glacier and Ice Sheets
Keywords
greenland weather weather-station
Last synced: about 18 hours ago
JSON representation
Repository metadata
Process AWS data from L0 (raw logger) through Lx (end user)
- Host: GitHub
- URL: https://github.com/GEUS-Glaciology-and-Climate/pypromice
- Owner: GEUS-Glaciology-and-Climate
- License: gpl-2.0
- Created: 2020-09-15T11:37:27.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2025-12-03T13:11:14.000Z (21 days ago)
- Last Synced: 2025-12-06T14:30:13.121Z (18 days ago)
- Topics: greenland, weather, weather-station
- Language: Python
- Homepage: https://pypromice.readthedocs.io
- Size: 97.1 MB
- Stars: 17
- Watchers: 3
- Forks: 4
- Open Issues: 43
- Releases: 28
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
- Citation: CITATION.cff
README.md
pypromice
pypromice is designed for processing and handling PROMICE automated weather station (AWS) data.
It is envisioned for pypromice to be the go-to toolbox for handling and processing PROMICE and GC-Net datasets. New releases of pypromice are uploaded alongside PROMICE AWS data releases to our Dataverse for transparency purposes and to encourage collaboration on improving our data. Please visit the pypromice readthedocs 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
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
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
Installation
Quick install
The latest release of pypromice can installed using conda or pip:
$ conda install pypromice -c conda-forge
$ pip install pypromice
The eccodes package for pypromice's post-processing functionality needs to be installed specifically in the pip distribution:
$ conda install eccodes -c conda-forge
$ pip install pypromice
And for the most up-to-date version of pypromice, the package can be cloned and 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 .
Citation (CITATION.cff)
cff-version: 1.2.0
title: pypromice
message: >-
If you use this software, please cite it using the
metadata from this file
type: software
authors:
- given-names: Penelope
family-names: How
email: pho@geus.dk
affiliation: GEUS
orcid: 'https://orcid.org/0000-0002-8088-8497'
- given-names: Mads Christian
family-names: Lund
email: maclu@geus.dk
affiliation: GEUS
orcid: 'https://orcid.org/0009-0009-0446-8253'
- given-names: Rasmus Bahbah
family-names: Nielsen
email: rabni@geus.dk
affiliation: GEUS
orcid: 'https://orcid.org/0000-0003-2342-639X'
- given-names: Andreas P.
family-names: Ahlstrøm
email: apa@geus.dk
affiliation: GEUS
orcid: 'https://orcid.org/0000-0001-8235-8070'
- given-names: Robert S.
email: rsf@geus.dk
family-names: Fausto
affiliation: GEUS
orcid: 'https://orcid.org/0000-0003-1317-8185'
- given-names: Signe Hillerup
family-names: Larsen
email: shl@geus.dk
affiliation: GEUS
orcid: 'https://orcid.org/0000-0002-3656-3521'
- given-names: Kenneth D.
family-names: Mankoff
email: mankoff@gmail.com
affiliation: NASA GISS
orcid: 'https://orcid.org/0000-0001-5453-2019'
- given-names: Baptiste
family-names: Vandecrux
email: bav@geus.dk
affiliation: GEUS
orcid: 'https://orcid.org/0000-0002-4169-8973'
- given-names: Patrick J.
family-names: Wright
orcid: 'https://orcid.org/0000-0003-2999-9076'
affiliation: Synoptic
email: pajwr@geus.dk
identifiers:
- type: doi
value: 10.21105/joss.05298
description: JOSS software paper
- type: doi
value: 10.22008/FK2/3TSBF0
description: Dataverse for releases
repository-code: 'https://github.com/GEUS-Glaciology-and-Climate/pypromice'
url: 'https://pypromice.readthedocs.io/'
keywords:
- weather
- weather-station
- greenland
- python
license: GPL-2.0
Owner metadata
- Name: GEUS Glaciology and Climate
- Login: GEUS-Glaciology-and-Climate
- Email:
- Kind: organization
- Description: GEUS Department of Glaciology and Climate
- Website: https://eng.geus.dk/about/organisation/departments/glaciology-and-climate
- Location: Copenhagen, Denmark
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/71171316?v=4
- Repositories: 41
- Last ynced at: 2024-04-16T01:11:30.089Z
- Profile URL: https://github.com/GEUS-Glaciology-and-Climate
GitHub Events
Total
- Create event: 41
- Release event: 8
- Issues event: 17
- Delete event: 40
- Issue comment event: 45
- Push event: 194
- Pull request review comment event: 40
- Pull request event: 68
- Pull request review event: 59
Last Year
- Create event: 35
- Release event: 7
- Issues event: 15
- Delete event: 33
- Issue comment event: 38
- Push event: 178
- Pull request review comment event: 40
- Pull request review event: 52
- Pull request event: 56
Committers metadata
Last synced: 15 days ago
Total Commits: 866
Total Committers: 10
Avg Commits per committer: 86.6
Development Distribution Score (DDS): 0.701
Commits in past year: 79
Committers in past year: 4
Avg Commits per committer in past year: 19.75
Development Distribution Score (DDS) in past year: 0.544
| Name | Commits | |
|---|---|---|
| Baptiste Vandecrux | 3****x | 259 |
| PennyHow | p****o@g****k | 229 |
| Mads Christian Lund | m****u@g****k | 162 |
| Kenneth D. Mankoff | m****f@g****m | 107 |
| Patrick Wright | p****r@g****k | 87 |
| Penny How | p****o@g****1 | 14 |
| Rasmus Bahbah Nielsen | 1****h | 4 |
| Ubuntu | a****s@a****t | 2 |
| Johannes Röttenbacher | 4****r | 1 |
| Andreas P. Ahlstrøm | 8****2 | 1 |
Committer domains:
Issue and Pull Request metadata
Last synced: 19 days ago
Total issues: 134
Total pull requests: 273
Average time to close issues: 10 months
Average time to close pull requests: 15 days
Total issue authors: 10
Total pull request authors: 6
Average comments per issue: 1.76
Average comments per pull request: 0.84
Merged pull request: 192
Bot issues: 0
Bot pull requests: 0
Past year issues: 10
Past year pull requests: 79
Past year average time to close issues: 24 days
Past year average time to close pull requests: 22 days
Past year issue authors: 2
Past year pull request authors: 4
Past year average comments per issue: 0.4
Past year average comments per pull request: 0.85
Past year merged pull request: 39
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- BaptisteVandecrux (62)
- PennyHow (29)
- mankoff (23)
- patrickjwright (8)
- ladsmund (4)
- jroettenbacher (3)
- jasonebox (2)
- fsn1995 (1)
- simonrp84 (1)
- RasmusBahbah (1)
Top Pull Request Authors
- PennyHow (102)
- BaptisteVandecrux (99)
- ladsmund (48)
- patrickjwright (13)
- RasmusBahbah (10)
- jroettenbacher (1)
Top Issue Labels
- enhancement (24)
- L0 (13)
- bug (10)
- documentation (9)
- L3 (8)
- fixed in future release (7)
- v3 (IDL) (6)
- v4 (Py) (6)
- L2 (6)
- L1 (6)
- TX (6)
- L0M (3)
- raw (2)
- help wanted (1)
- question (1)
- OOL (1)
- Data validation (1)
Top Pull Request Labels
- enhancement (12)
- bug (9)
- documentation (8)
Package metadata
- Total packages: 3
-
Total downloads:
- pypi: 670 last-month
- Total dependent packages: 0 (may contain duplicates)
- Total dependent repositories: 0 (may contain duplicates)
- Total versions: 87
- Total maintainers: 1
proxy.golang.org: github.com/geus-glaciology-and-climate/pypromice
- Homepage:
- Documentation: https://pkg.go.dev/github.com/geus-glaciology-and-climate/pypromice#section-documentation
- Licenses: gpl-2.0
- Latest release: v1.8.5 (published 21 days ago)
- Last Synced: 2025-12-07T15:06:50.343Z (17 days ago)
- Versions: 30
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent packages count: 5.395%
- Average: 5.576%
- Dependent repos count: 5.758%
proxy.golang.org: github.com/GEUS-Glaciology-and-Climate/pypromice
- Homepage:
- Documentation: https://pkg.go.dev/github.com/GEUS-Glaciology-and-Climate/pypromice#section-documentation
- Licenses: gpl-2.0
- Latest release: v1.8.5 (published 21 days ago)
- Last Synced: 2025-12-07T15:06:50.597Z (17 days ago)
- Versions: 30
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent packages count: 5.395%
- Average: 5.576%
- Dependent repos count: 5.758%
pypi.org: pypromice
PROMICE/GC-Net toolbox for processing data from automatic weather stations
- Homepage: https://github.com/GEUS-Glaciology-and-Climate/pypromice
- Documentation: https://pypromice.readthedocs.io
- Licenses: GNU General Public License v2 (GPLv2)
- Latest release: 1.8.5 (published 21 days ago)
- Last Synced: 2025-12-07T15:06:48.907Z (17 days ago)
- Versions: 27
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 670 Last month
-
Rankings:
- Dependent packages count: 7.486%
- Forks count: 17.068%
- Stargazers count: 17.221%
- Average: 31.245%
- Downloads: 44.676%
- Dependent repos count: 69.772%
- Maintainers (1)
Dependencies
- bottleneck *
- netcdf4 *
- numpy *
- pandas *
- scipy *
- toml *
- xarray *
- IQSS/dataverse-uploader v1.3 composite
- datetime *
- eccodes *
- numpy *
- pandas *
- sklearn *
- sphinx_rtd_theme *
- toml *
- xarray *
- actions/checkout v2 composite
- actions/upload-artifact v1 composite
- openjournals/openjournals-draft-action master composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/upload-artifact v3 composite
- actions/checkout v3 composite
- actions/setup-python v3 composite
- pypa/gh-action-pypi-publish 27b31702a0e7fc50959f5ad993c78deac1bdfc29 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
Score: 12.905698792187827