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PyFLEXTRKR: a flexible feature tracking Python software for convective cloudanalysis

delete2023-05-23
delete42
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OA
AI
Z
Zhe Feng *
J
Joseph Hardin
H
Hannah C. Barnes
J
Jianfeng Li
L
L. Ruby Leung
A
Adam Varble
Z
Zhixiao Zhang
DOI:10.5194/gmd-16-2753-2023delete
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Abstract

Abstract

En 中文
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

Journal

Geoscientific Model Development cover
Geoscientific Model Development
IF:
4.9
Papers:
4.0K
Citations:
2.4W

Organization

U
united states department of energy (doe)
Scholars:
11.3W
Papers: 9.6W
Citations: 246
U
university of colorado boulder
Scholars:
1.9W
Papers: 1.5W
Citations: 33