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

Feng, Zhe; Hardin, Joseph; Barnes, Hannah C.; Li, Jianfeng; Leung, L. Ruby; Varble, Adam; Zhang, Zhixiao

doi:10.5194/gmd-16-2753-2023

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

2023
By Feng, Zhe ; Hardin, Joseph ; Barnes, Hannah C. ; ...
Source: Geoscientific Model Development, 16(10), 2753-2776

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Journal Title:

Geoscientific Model Development
Personal Author:

Feng, Zhe ; Hardin, Joseph ; Barnes, Hannah C. ; Li, Jianfeng ; Leung, L. Ruby ; ... More +

Feng, Zhe ; Hardin, Joseph ; Barnes, Hannah C. ; Li, Jianfeng ; Leung, L. Ruby ; Varble, Adam ; Zhang, Zhixiao Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; GSL (Global Systems Laboratory) ; CIRES (Cooperative Institute for Research in Environmental Sciences)

OAR (Oceanic and Atmospheric Research) ; GSL (Global Systems Laboratory) ; CIRES (Cooperative Institute for Research in Environmental Sciences) Less -
Description:

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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General Medicine
Source:

Geoscientific Model Development, 16(10), 2753-2776
DOI:

https://doi.org/10.5194/gmd-16-2753-2023
ISSN:

1991-9603
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PDF
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Copernicus GmbH
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Journal Article
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https://creativecommons.org/licenses/by/4.0/
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CC BY
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urn:sha256:7392d35b5fdfdefc2927a1a694a40641436610e55e7c07bc8735aef325026b7b
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PyFLEXTRKR: a flexible feature tracking Python software for convective cloud analysis

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