Evaluation of Tropical Cyclone Center Identification Methods in Numerical Models.
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| Title: | Evaluation of Tropical Cyclone Center Identification Methods in Numerical Models. |
|---|---|
| Authors: | Nguyen, Leon T., Molinari, John, Thomas, Diana |
| Source: | Monthly Weather Review. Nov2014, Vol. 142 Issue 11, p4326-4339. 14p. 9 Graphs, 1 Map. |
| Subjects: | Tropical cyclones, Computer simulation of weather forecasting, Convection (Meteorology), Vortex motion, Wind measurement |
| Abstract: | Identifying the center of a tropical cyclone in a high-resolution model simulation has a number of operational and research applications, including constructing a track, calculating azimuthal means and perturbations, and diagnosing vortex tilt. This study evaluated several tropical cyclone center identification methods in a high-resolution Weather Research and Forecasting (WRF) Model simulation of a sheared, intensifying, asymmetric tropical cyclone. The simulated tropical cyclone (TC) contained downshear convective cells and a mesovortex embedded in a broader TC vortex, complicating the identification of the TC vortex center. It is shown that unlike other methods, the pressure centroid method consistently 1) placed the TC center within the region of weak storm-relative wind, 2) produced a smooth track, 3) yielded a vortex tilt that varied smoothly in magnitude and direction, and 4) was insensitive to changes in horizontal grid resolution. Based on these results, the authors recommend using the pressure centroid to define the TC center in high-resolution numerical models. The pressure centroid was calculated within a circular region representing the size of the TC inner core. To determine this area, the authors propose normalizing by the innermost radius at which the azimuthally averaged storm-relative tangential wind at 2-km height equals 80% of the maximum ( R80) at 2-km height. Although compositing studies have often normalized by the radius of maximum wind (RMW), R80 proved less sensitive to slight changes in flat tangential wind profiles. This enables R80 to be used as a normalization technique not only with intense TCs having peaked tangential wind profiles, but also with weaker TCs having flatter tangential wind profiles. [ABSTRACT FROM AUTHOR] |
| Copyright of Monthly Weather Review is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Items | – Name: Title Label: Title Group: Ti Data: Evaluation of Tropical Cyclone Center Identification Methods in Numerical Models. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Nguyen%2C+Leon+T%2E%22">Nguyen, Leon T.</searchLink><br /><searchLink fieldCode="AR" term="%22Molinari%2C+John%22">Molinari, John</searchLink><br /><searchLink fieldCode="AR" term="%22Thomas%2C+Diana%22">Thomas, Diana</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Monthly+Weather+Review%22">Monthly Weather Review</searchLink>. Nov2014, Vol. 142 Issue 11, p4326-4339. 14p. 9 Graphs, 1 Map. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Tropical+cyclones%22">Tropical cyclones</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation+of+weather+forecasting%22">Computer simulation of weather forecasting</searchLink><br /><searchLink fieldCode="DE" term="%22Convection+%28Meteorology%29%22">Convection (Meteorology)</searchLink><br /><searchLink fieldCode="DE" term="%22Vortex+motion%22">Vortex motion</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+measurement%22">Wind measurement</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Identifying the center of a tropical cyclone in a high-resolution model simulation has a number of operational and research applications, including constructing a track, calculating azimuthal means and perturbations, and diagnosing vortex tilt. This study evaluated several tropical cyclone center identification methods in a high-resolution Weather Research and Forecasting (WRF) Model simulation of a sheared, intensifying, asymmetric tropical cyclone. The simulated tropical cyclone (TC) contained downshear convective cells and a mesovortex embedded in a broader TC vortex, complicating the identification of the TC vortex center. It is shown that unlike other methods, the pressure centroid method consistently 1) placed the TC center within the region of weak storm-relative wind, 2) produced a smooth track, 3) yielded a vortex tilt that varied smoothly in magnitude and direction, and 4) was insensitive to changes in horizontal grid resolution. Based on these results, the authors recommend using the pressure centroid to define the TC center in high-resolution numerical models. The pressure centroid was calculated within a circular region representing the size of the TC inner core. To determine this area, the authors propose normalizing by the innermost radius at which the azimuthally averaged storm-relative tangential wind at 2-km height equals 80% of the maximum ( R80) at 2-km height. Although compositing studies have often normalized by the radius of maximum wind (RMW), R80 proved less sensitive to slight changes in flat tangential wind profiles. This enables R80 to be used as a normalization technique not only with intense TCs having peaked tangential wind profiles, but also with weaker TCs having flatter tangential wind profiles. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Monthly Weather Review is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1175/MWR-D-14-00044.1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 4326 Subjects: – SubjectFull: Tropical cyclones Type: general – SubjectFull: Computer simulation of weather forecasting Type: general – SubjectFull: Convection (Meteorology) Type: general – SubjectFull: Vortex motion Type: general – SubjectFull: Wind measurement Type: general Titles: – TitleFull: Evaluation of Tropical Cyclone Center Identification Methods in Numerical Models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nguyen, Leon T. – PersonEntity: Name: NameFull: Molinari, John – PersonEntity: Name: NameFull: Thomas, Diana IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 00270644 Numbering: – Type: volume Value: 142 – Type: issue Value: 11 Titles: – TitleFull: Monthly Weather Review Type: main |
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