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The Grab 'em - Tag 'em - Graph 'em (GTG) algorithm

Grab 'em, Tag 'em, Graph 'em (GTG) is a feature detection, evolution and feature characterization algorithm. It was built for the weather/ climate application of identifying mesoscale convective complexes in highly resolved temporal and geospatial remote-sensed datasets and characterizing the features using various data sources. However, the application of it extends beyond meteorological realms as the GTG focus is on feature detection and evolution that leverages graph theory.

##What is needed? The GTG codebase is entirely Python. Quite a few scientific Python projects are used. The following python modules are needed. It is suggested to use Continuum Analytics Anaconda Python package to install all the Python modules painlessly.

• Python 2.7.4 (We used Anaconda 1.5.1 64 bit libraries, which installed most of the dependencies.) Other module dependences:
• netCDF
• sciPy
• NumPy
• Networkx
• matplotlib
• GrADS (We used OpenGrADS grads2 Version 2.0.1.oga.1) - LATS4D A user of the code noted that if you are GrADs v.2.1.a2 your image output format will have to be changed from .gif to .png if you receive the following error "GXPRINT error: unsupported output format"