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Python package to easily access the CAMELS-AUS dataset

Project description

CAMELS-AUS from python

license status

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Python package to easily load and use the CAMELS-AUS dataset (Fowler, K. J. A. et al. 2020 (in review))

CAMELS-AUS is the Australian edition of the Catchment Attributes and Meteorology for Large-sample Studies.

Loading CAMELS-AUS from a notebook

Release notes

  • v0.5: support loading more series and catchment attributes.
  • v0.4: load minimal series for typical rainfall-runoff modelling


BSD-3 (see License)

Source code

The code repository is on GitHub.



Using a conda environment is recommended. To create a new environment:

cd ${HOME}/tmp
conda env create -n $my_env_name -f ./camels_aus_environment.yml
conda activate $my_env_name 


pip install camels_aus

If installing from source, after checking out this git repo:

pip install -r requirements.txt # if not using conda
python install


python develop

optional: setting jupyter-lab

optional but recommended: use mamba as a replacement for conda: conda install -c conda-forge --name ${my_env_name} mamba

mamba install -c conda-forge jupyterlab ipywidgets jupyter ipyleaflet
python -m ipykernel install --user --name ${my_env_name} --display-name "CAMELS"
jupyter-lab .



Normally jupyter-lab version 3.0 and more does not require explicit extensions installation, but if you have issues:

if: "Loading widgets..."

jupyter-labextension install @jupyter-widgets/jupyterlab-manager

if: "Error displaying widget: model not found"

jupyter-labextension install @jupyter-widgets/jupyterlab-manager

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