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PyFLEXTRKR: a flexible feature tracking Python software for convective cloudanalysis
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DOI：10.5194/gmd-16-2753-2023.png)
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Abstract
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This paper describes the new open-source framework PyFLEXTRKR (Python FLEXible object TRacKeR), a flexible atmospheric feature tracking software package with specific capabilities to track convective clouds from a variety of observations and model simulations. This software can track any atmospheric 2D objects and handle merging and splitting explicitly. The package has a collection of multi-object identification algorithms, scalable parallelization options, and has been optimized for large datasets including global high-resolution data. We demonstrate applications of PyFLEXTRKR on tracking individual deep convective cells and mesoscale convective systems from observations and model simulations ranging from large-eddy resolving (similar to 100s m) to mesoscale (similar to 10s km) resolutions. Visualization, post-processing, and statistical analysis tools are included in the package. New Lagrangian analyses of convective clouds produced by PyFLEXTRKR applicable to a wide range of datasets and scales facilitate advanced model evaluation and development efforts as well as scientific discovery.
Keywords:
OBJECTIVE IDENTIFICATION
DEEP CONVECTION
LIFE-CYCLE
SYSTEMS
FRAMEWORK
RADAR
MODEL
TEMPESTEXTREMES
PRECIPITATION
SIMULATIONS
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