clouddrift 0.5.0

Accelerating the use of Lagrangian data for atmospheric, oceanic, and climate sciences

CloudDrift

CloudDrift accelerates the use of Lagrangian data for atmospheric, oceanic, and climate sciences. It is funded by NSF EarthCube through the EarthCube Capabilities Grant No. 2126413.

Getting started

Install CloudDrift

You can install the latest release of CloudDrift using pip or Conda. You can also install the latest development (unreleased) version from GitHub.

pip

In your virtual environment, type:

pip install clouddrift

Conda

First add conda-forge to your channels in your Conda environment:

conda config --add channels conda-forge
conda config --set channel_priority strict

then install CloudDrift:

conda install clouddrift

Development branch

If you need the latest development version, get it from GitHub using pip:

pip install git+https://github.com/cloud-drift/clouddrift

Run the tests

To run the tests, you need to first download the CloudDrift source code from GitHub and install it in your virtual environment:

git clone https://github.com/cloud-drift/clouddrift
cd clouddrift
python3 -m venv venv
source venv/bin/activate
pip install .

Then, run the tests like this:

python -m unittest tests/*.py

Using CloudDrift

Start by reading the documentation.

Example Jupyter notebooks that showcase the library, as well as scripts to process various Lagrangian datasets, are in clouddrift-examples.

Found an issue or need help?

Please create a new issue here and provide as much detail as possible about your problem or question.