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

Authors :
Z. Feng
J. Hardin
H. C. Barnes
J. Li
L. R. Leung
A. Varble
Z. Zhang
Source :
Geoscientific Model Development, Vol 16, Pp 2753-2776 (2023)
Publication Year :
2023
Publisher :
Copernicus Publications, 2023.

Abstract

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.

Subjects

Subjects :
Geology
QE1-996.5

Details

Language :
English
ISSN :
1991959X and 19919603
Volume :
16
Database :
Directory of Open Access Journals
Journal :
Geoscientific Model Development
Publication Type :
Academic Journal
Accession number :
edsdoj.287551528e341feb6e7a54d163ac7cf
Document Type :
article
Full Text :
https://doi.org/10.5194/gmd-16-2753-2023