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Use of threshold parameter variation for tropical cyclone tracking.
Geosci. Model. Dev. 16, 5093-5112 (2023)
Assessing the capacity of numerical models to produce viable tropical cyclones, as well as assessing the climatological behavior of simulated tropical cyclones, requires an objective tracking method. These make use of parameter thresholds to determine whether a detected feature, such as a vorticity maximum or a warm core, is strong enough to indicate a tropical cyclone. The choice of parameter thresholds is generally subjective. This study proposes and assesses the parallel use of many threshold parameter combinations, combining a number of weaker and stronger values. The tracking algorithm succeeds in tracking tropical cyclones within the model data, beginning at their aggregation stage or shortly thereafter and ending when they interact strongly with extratropical flow and transition into extratropical cyclones or when their warm core decays. The sensitivity of accumulated cyclone energy to tracking errors is assessed. Tracking errors include the faulty initial detection and termination of valid tropical cyclones and systems falsely identified as tropical cyclones. They are found to not significantly impact the accumulated cyclone energy. Thus, the tracking algorithm produces an adequate estimate of the accumulated cyclone energy within the underlying data.
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1.599
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Hurricane-type Vortices; Extratropical Transition; Global Climatology; Life-cycle; Warm-core; Circulation; Variability; Dependence; Dynamics; Model
Language
english
Publication Year
2023
HGF-reported in Year
2023
ISSN (print) / ISBN
1991-959X
e-ISSN
1991-959X
Journal
Geoscientific model development
Quellenangaben
Volume: 16,
Issue: 17,
Pages: 5093-5112
Publisher
Copernicus
Publishing Place
Göttingen
Reviewing status
Peer reviewed
Institute(s)
Institute of Computational Biology (ICB)
POF-Topic(s)
30205 - Bioengineering and Digital Health
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-503800-001
WOS ID
001161804000001
Scopus ID
85172917167
Erfassungsdatum
2023-12-04