Accelerating the use of Lagrangian data for atmospheric, oceanic, and climate sciences
Project description
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 via PyPI. In your virtualenv or Conda environment, type:
pip install clouddrift
If you need the latest development version, get it from GitHub:
pip install git+https://github.com/cloud-drift/clouddrift
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.
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