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Description:
pypromice 1.4.0
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 [email protected]:GEUS-Glaciology-and-Climate/pypromice.git
$ cd pypromice/
$ pip install .
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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