clouddrift 0.2.1

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

pip

You can install CloudDrift using pip via PyPI:

pip install clouddrift

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

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

Conda

You can also install CloudDrift using Conda:

git clone https://github.com/cloud-drift/clouddrift
cd clouddrift
conda env create --file environment.yml

In the future, a conda-forge package will be available to simplify the installation process.

Run the tests

If you downloaded the CloudDrift source code from GitHub, you can run all 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.