CyTRACK: An open-source and user-friendly python toolbox for detecting and tracking cyclones

被引：0

作者：

Pérez-Alarcón, Albenis ^{[1
,2
,3
]}

Coll-Hidalgo, Patricia ^{[1
]}

Trigo, Ricardo M. ^{[3
,4
]}

Nieto, Raquel ^{[1
]}

Gimeno, Luis ^{[1
]}

机构：

[1] Centro de Investigación Mariña, Universidade de Vigo, Environmental Physics Laboratory (EPhysLab), Campus As Lagoas s/n, Ourense,32004, Spain

[2] Departamento de Meteorología, Instituto Superior de Tecnologías y Ciencias Aplicadas, Universidad de La Habana, La Habana,10400, Cuba

[3] Instituto Dom Luiz (IDL), Facultade de Ciências, Universidade de Lisboa, Lisboa,1749-016, Portugal

[4] Departamento de Meteorologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro,21941-919, Brazil

来源：

Environmental Modelling and Software | 2024年 / 176卷

关键词：

Climate models - High level languages - Life cycle - Sea level - Sensitivity analysis - Storms;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

This work introduces CyTRACK (Cyclone TRACKing framework), a new open-source, comprehensive and user-friendly Python toolbox for detecting and tracking cyclones in model and reanalysis datasets. The kernel of CyTRACK is based on detecting critical cyclone centres in the mean sea level pressure field at a single time slice, which are then filtered following several threshold parameters. This paper also compares ten years of CyTRACK outputs forced with the ERA5 reanalysis against best-track archives and available cyclones track datasets. The results reveal that CyTRACK can capture the inter-annual (year to year) and intra annual (seasonal cycle) variability of cyclone frequency, life cycle characteristics and spatial distribution of track densities. Largest differences were observed in the annual and seasonal frequency. In summary, CyTRACK provides a user-friendly framework for sensitivity analysis of several free parameters used to perform the tracking, and it is useful for case or climatological studies of cyclone features. © 2024 The Authors

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