TAMS

TAMS (Tracking Algorithm for Mesoscale Convective Systems) in Python and with more flexibility.

The original TAMS is described in Núñez Ocasio et al. [1]. Núñez Ocasio et al. [2] applied TAMS to African Easterly Wave research.

Datasets used in the examples can be retrieved with tams.data.download_examples().

Installing

TAMS is available on conda-forge.

conda install -c conda-forge tams

Development install

If you want to modify the code, you can first clone the repo and then do an editable install to the dev conda environment:

git clone https://github.com/knubez/TAMS.git
cd TAMS
conda env create -f environment-dev.yml
conda activate tams-dev
pip install -e . --no-deps

References

1

Kelly M. Núñez Ocasio, Jenni L. Evans, and George S. Young. Tracking mesoscale convective systems that are potential candidates for tropical cyclogenesis. Monthly Weather Review, 148(2):655 – 669, Feb 2020. doi:10.1175/MWR-D-19-0070.1.

2

Kelly M. Núñez Ocasio, Jenni L. Evans, and George S. Young. A wave-relative framework analysis of AEW–MCS interactions leading to tropical cyclogenesis. Monthly Weather Review, 148(11):4657 – 4671, Nov 2020. doi:10.1175/MWR-D-20-0152.1.