Preprints
https://doi.org/10.5194/egusphere-2022-1136
https://doi.org/10.5194/egusphere-2022-1136
 
09 Nov 2022
09 Nov 2022
Status: this preprint is open for discussion.

PyFLEXTRKR: a Flexible Feature Tracking Python Software for Convective Cloud Analysis

Zhe Feng1, Joseph Hardin1, Hannah C. Barnes1,2,3, Jianfeng Li1, L. Ruby Leung1, Adam Varble1, and Zhixiao Zhang4 Zhe Feng et al.
  • 1Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, Washington, USA
  • 2Cooperative Institute for Research in Environmental Sciences at the University of Colorado, Boulder, Colorado, USA
  • 3NOAA Global Systems Laboratory, Boulder, CO, USA
  • 4Department of Atmospheric Sciences, University of Utah, Salt Lake City, Utah, USA

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.

Zhe Feng et al.

Status: open (until 04 Jan 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-1136', Anonymous Referee #1, 18 Nov 2022 reply

Zhe Feng et al.

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Short summary
PyFLEXTRKR is a flexible atmospheric feature tracking framework with specific capabilities to track convective clouds from a variety of observations and model simulations. The package has a collection of multi-object identification algorithms and has been optimized for large datasets. This paper describes the algorithms and demonstrate applications on tracking deep convective cells and mesoscale convective systems from observations and model simulations at a wide range of scales.