Articles | Volume 16, issue 10
https://doi.org/10.5194/gmd-16-2753-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-2753-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
PyFLEXTRKR: a flexible feature tracking Python software for convective cloud analysis
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, Washington, USA
Joseph Hardin
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, Washington, USA
Hannah C. Barnes
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, Washington, USA
Cooperative Institute for Research in Environmental Sciences at the
University of Colorado, Boulder, Colorado, USA
NOAA Global Systems Laboratory, Boulder, Colorado, USA
Jianfeng Li
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, Washington, USA
L. Ruby Leung
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, Washington, USA
Adam Varble
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, Washington, USA
Zhixiao Zhang
Department of Atmospheric Sciences, University of Utah, Salt Lake
City, Utah, USA
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Cited
29 citations as recorded by crossref.
- An objective identification technique for potential vorticity structures associated with African easterly waves C. Fischer et al.
- A derecho climatology (2004–2021) in the United States based on machine learning identification of bow echoes J. Li et al.
- Sensitivity of a Kilometer-Scale Variable-Resolution Global Nonhydrostatic Model to Microphysics Schemes in Simulating a Mesoscale Convective System Y. Zhou et al.
- Environmental Controls on MCS Lifetime Rainfall Over Tropical Oceans X. Chen et al.
- Is the recently enhanced mesoscale convective systems in East Asia due to global warming or decadal variability? Z. Lin et al.
- tobacv1.5: introducing fast 3D tracking, splits and mergers, and other enhancements for identifying and analysing meteorological phenomena G. Sokolowsky et al.
- A Lagrangian perspective on the lifecycle and cloud radiative effect of deep convective clouds over Africa W. Jones et al.
- Weather radar utility in hazard detection and response M. Benson et al.
- Tracking precipitation features and associated large-scale environments over southeastern Texas Y. Liu et al.
- A database of deep convective systems derived from the intercalibrated meteorological geostationary satellite fleet and the TOOCAN algorithm (2012–2020) T. Fiolleau & R. Roca
- Observing convective activities in complex convective organizations and their contributions to precipitation and anvil cloud amounts Z. Wang & J. Yuan
- TAMS: a tracking, classifying, and variable-assigning algorithm for mesoscale convective systems in simulated and satellite-derived datasets K. Núñez Ocasio & Z. Moon
- Rising heavy precipitation amid decreasing typhoon contribution in Southeast Asia J. Li et al.
- Tracking Mesoscale Convective Systems in IMERG and Regional Variability of Their Properties in the Tropics M. Rajagopal et al.
- Key drivers and predictability of the unprecedented 2024 United Arab Emirates flood J. Wang et al.
- The Effects of Shallow Cumulus Cloud Shape on Interactions Among Clouds and Mixing With Near‐Cloud Environments J. Chen et al.
- On the relationship between precipitation extreme and local temperature over eastern China based on convection permitting simulations: roles of different moisture processes and precipitation types G. Dai et al.
- Diurnal Analysis of Nor’westers over Gangetic West Bengal as Observed from Weather Radar B. Raj et al.
- Mesoscale Convective Systems over South Asia: Unraveling climatology, land-ocean differences and environmental drivers D. Paul et al.
- Understanding mesoscale convective processes over the Congo Basin using the Model for Prediction Across Scales-Atmosphere (MPAS-A) S. Zhao et al.
- Sea-breeze Front Propagation over The Northern Coast of West Java and Association with Inland Convections in The Dry Season B. Yonas & T. Hadi
- A machine-learning-based perspective on deep convective clouds and their organisation in 3D – Part 1: Influence of deep convective cores on the cloud life cycle S. Brüning & H. Tost
- Analysing 23 years of warm-season derechos in France: a climatology and investigation of synoptic and environmental changes L. Fery & D. Faranda
- Spatiotemporal Characteristics of Mesoscale Convective Systems in the Yangtze River Delta Urban Agglomeration and Their Response to Urbanization X. Du et al.
- Responses of summer mesoscale convective systems to irrigation over the North China Plain based on convection-permitting model simulations Y. Wang et al.
- Summertime Near‐Surface Temperature Biases Over the Central United States in Convection‐Permitting Simulations H. Qin et al.
- cloudbandPy 1.0: an automated algorithm for the detection of tropical–extratropical cloud bands R. Pilon & D. Domeisen
- Lifecycle of updrafts and mass flux in isolated deep convection over the Amazon rainforest: insights from cell tracking S. Gupta et al.
- Large spatiotemporal variability in aerosol properties over central Argentina during the CACTI field campaign J. Fast et al.
29 citations as recorded by crossref.
- An objective identification technique for potential vorticity structures associated with African easterly waves C. Fischer et al.
- A derecho climatology (2004–2021) in the United States based on machine learning identification of bow echoes J. Li et al.
- Sensitivity of a Kilometer-Scale Variable-Resolution Global Nonhydrostatic Model to Microphysics Schemes in Simulating a Mesoscale Convective System Y. Zhou et al.
- Environmental Controls on MCS Lifetime Rainfall Over Tropical Oceans X. Chen et al.
- Is the recently enhanced mesoscale convective systems in East Asia due to global warming or decadal variability? Z. Lin et al.
- tobacv1.5: introducing fast 3D tracking, splits and mergers, and other enhancements for identifying and analysing meteorological phenomena G. Sokolowsky et al.
- A Lagrangian perspective on the lifecycle and cloud radiative effect of deep convective clouds over Africa W. Jones et al.
- Weather radar utility in hazard detection and response M. Benson et al.
- Tracking precipitation features and associated large-scale environments over southeastern Texas Y. Liu et al.
- A database of deep convective systems derived from the intercalibrated meteorological geostationary satellite fleet and the TOOCAN algorithm (2012–2020) T. Fiolleau & R. Roca
- Observing convective activities in complex convective organizations and their contributions to precipitation and anvil cloud amounts Z. Wang & J. Yuan
- TAMS: a tracking, classifying, and variable-assigning algorithm for mesoscale convective systems in simulated and satellite-derived datasets K. Núñez Ocasio & Z. Moon
- Rising heavy precipitation amid decreasing typhoon contribution in Southeast Asia J. Li et al.
- Tracking Mesoscale Convective Systems in IMERG and Regional Variability of Their Properties in the Tropics M. Rajagopal et al.
- Key drivers and predictability of the unprecedented 2024 United Arab Emirates flood J. Wang et al.
- The Effects of Shallow Cumulus Cloud Shape on Interactions Among Clouds and Mixing With Near‐Cloud Environments J. Chen et al.
- On the relationship between precipitation extreme and local temperature over eastern China based on convection permitting simulations: roles of different moisture processes and precipitation types G. Dai et al.
- Diurnal Analysis of Nor’westers over Gangetic West Bengal as Observed from Weather Radar B. Raj et al.
- Mesoscale Convective Systems over South Asia: Unraveling climatology, land-ocean differences and environmental drivers D. Paul et al.
- Understanding mesoscale convective processes over the Congo Basin using the Model for Prediction Across Scales-Atmosphere (MPAS-A) S. Zhao et al.
- Sea-breeze Front Propagation over The Northern Coast of West Java and Association with Inland Convections in The Dry Season B. Yonas & T. Hadi
- A machine-learning-based perspective on deep convective clouds and their organisation in 3D – Part 1: Influence of deep convective cores on the cloud life cycle S. Brüning & H. Tost
- Analysing 23 years of warm-season derechos in France: a climatology and investigation of synoptic and environmental changes L. Fery & D. Faranda
- Spatiotemporal Characteristics of Mesoscale Convective Systems in the Yangtze River Delta Urban Agglomeration and Their Response to Urbanization X. Du et al.
- Responses of summer mesoscale convective systems to irrigation over the North China Plain based on convection-permitting model simulations Y. Wang et al.
- Summertime Near‐Surface Temperature Biases Over the Central United States in Convection‐Permitting Simulations H. Qin et al.
- cloudbandPy 1.0: an automated algorithm for the detection of tropical–extratropical cloud bands R. Pilon & D. Domeisen
- Lifecycle of updrafts and mass flux in isolated deep convection over the Amazon rainforest: insights from cell tracking S. Gupta et al.
- Large spatiotemporal variability in aerosol properties over central Argentina during the CACTI field campaign J. Fast et al.
Saved (final revised paper)
Latest update: 04 May 2026
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 demonstrates applications for tracking deep convective cells and mesoscale convective systems from observations and model simulations at a wide range of scales.
PyFLEXTRKR is a flexible atmospheric feature tracking framework with specific capabilities to...