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PROMICE/GC-Net data processing toolbox

Project description

pypromice

PyPI version Anaconda-Server Badge Anaconda-Server Badge DOI Documentation Status

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

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 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 to download eccodes and then install eccodes' python bindings using pip.

$ pip3 install eccodes-python

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