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Tracking and object-based analysis of clouds

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tobac - Tracking and Object-based Analysis of Clouds

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What is it?

tobac is a Python package for identifiying, tracking and analysing of clouds in different types of gridded datasets, i.e. 3D model output from cloud resolving model simulations or 2D data of satellite observations.

Documentation

Individual features are indentified as either maxima or minima in a two dimensional time varying field. The volume/area associated with the identified objects can be determined based on a time-varying 2D or 3D field and a threshold value. The in thre tracking step, the identified objects are linked into consistent trajectories representing the cloud over its lifecycle

Installation

Tobac is written in Python 3, it will not work in a Python 2 installation.

Required packages: trackpy scipy numpy iris scikit-learn cartopy pandas pytables

If you are using anaconda, the following command should make sure all dependencies are met and up to date:

conda install -c conda-forge trackpy scipy numpy iris scikit-learn cartopy pandas pytables 

You can directly install the package directly from github with pip and either of the two following commands:

pip install --upgrade git+ssh://[email protected]/climate-processes/tobac.git
pip install --upgrade git+https://github.com/climate-processes/tobac.git

You can also clone the package with any of the two following commands

git clone [email protected]:climate-processes/tobac.git
git clone https://github.com/climate-processes/tobac.git

and install the package from the locally cloned version:

pip install tobac/

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