PyFLEXTRKR: a flexible feature tracking Python software for convective cloud analysis

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...

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Published inGeoscientific Model Development Vol. 16; no. 10; pp. 2753 - 2776
Main Authors Feng, Zhe, Hardin, Joseph, Barnes, Hannah C., Li, Jianfeng, Leung, L. Ruby, Varble, Adam, Zhang, Zhixiao
Format Journal Article
LanguageEnglish
Published Katlenburg-Lindau Copernicus GmbH 23.05.2023
Copernicus Publications, EGU
Copernicus Publications
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ISSN1991-9603
1991-959X
1991-962X
1991-9603
1991-962X
DOI10.5194/gmd-16-2753-2023

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Summary: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 (∼100s m) to mesoscale (∼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.
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content type line 14
PNNL-SA-179219
USDOE
National Science Foundation (NSF)
AC05-76RL01830; AC05-00OR22725; AC02-05CH11231; 1661662
USDOE Office of Science (SC), Biological and Environmental Research (BER)
ISSN:1991-9603
1991-959X
1991-962X
1991-9603
1991-962X
DOI:10.5194/gmd-16-2753-2023