Modifying the ARCHER Algorithm to Improve the Tracking of Weak Tropical Cyclones in the Western North Pacific.
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| Title: | Modifying the ARCHER Algorithm to Improve the Tracking of Weak Tropical Cyclones in the Western North Pacific. |
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| Authors: | Wang, Yue1,2,3 (AUTHOR), Yang, Xiaoming3 (AUTHOR), Lu, Xiaoqin1,2 (AUTHOR) luxq@typhoon.org.cn |
| Source: | Journal of Applied Meteorology & Climatology. Nov2025, Vol. 64 Issue 11, p1695-1707. 13p. |
| Subjects: | Tropical cyclones, Cyclone tracking, Algorithms, Meteorology, Remote sensing devices |
| Geographic Terms: | North Pacific Ocean |
| Abstract: | Accurate identification of the center of a tropical cyclone (TC) is crucial for TC forecasting and early warning. For weak TCs [i.e., maximum sustained wind (MSW) ≤ 17 m s−1], the determination of their near-surface centers is more challenging due to weaker central convection and less pronounced circulation features. Existing objective TC positioning methods often exhibit limited performance for weak TCs, and few are specifically designed for weak TCs. The Automated Rotational Center Hurricane Eye Retrieval (ARCHER) algorithm, which locates TC centers by jointly finding the spiral cloud band center and assumed eye center in satellite images, is a relatively accurate and objective approach. However, it was designed primarily for use with TCs of at least tropical storm intensity (MSW ≥ 17.2 m s−1), and it is less effective for weaker TCs. This study analyzed 8000 TC samples in the western North Pacific (WNP) during 2000–12 to develop M_ARCHER, a modified version of the ARCHER algorithm with adjusted parameters to locate the centers of weak TCs in the WNP. M_ARCHER employs two sets of new optimized parameters tailored for microwave and infrared satellite observations. These parameters include the inclination angle of the spiral cloud band pattern, range and increment for determining the assumed eyewall inner edge radius, and the weights assigned to spiral and eye centering, among others. These modifications improve the algorithm's capability to detect the asymmetric and less-defined structures of weak TCs. Independent tests of the M_ARCHER algorithm show median location errors for weak TCs of 44 km (microwave) and 57 km (infrared) relative to the China Meteorological Administration best track data. For readily available infrared observations, M_ARCHER shows a 20% improvement in location accuracy relative to the original algorithm. Notably, strong wind shear can disrupt the structure of a TC, making the spiral-eye configuration within the M_ARCHER unrealistic and reducing the location accuracy. Significance Statement: Accurately locating the centers of weak tropical cyclones (TCs) remains a challenge in meteorology, and existing methods commonly generate substantial errors. This study aims to improve the accuracy associated with locating the center of a weak TC. We modified the Automated Rotational Center Hurricane Eye Retrieval (ARCHER) algorithm by adjusting its parameters, thereby optimizing its ability to locate weak TCs. Test results indicate that this modified algorithm (M_ARCHER) reduces the location error by 20% when using infrared observations. This approach increases the location accuracy of weak TCs and will greatly improve meteorological monitoring and early warning systems. Future studies should explore the performance of M_ARCHER with respect to various meteorological conditions and extreme weather events. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Applied Meteorology & Climatology 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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| Header | DbId: egs DbLabel: Engineering Source An: 189362601 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Modifying the ARCHER Algorithm to Improve the Tracking of Weak Tropical Cyclones in the Western North Pacific. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Yue%22">Wang, Yue</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Xiaoming%22">Yang, Xiaoming</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Xiaoqin%22">Lu, Xiaoqin</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> luxq@typhoon.org.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Applied+Meteorology+%26+Climatology%22">Journal of Applied Meteorology & Climatology</searchLink>. Nov2025, Vol. 64 Issue 11, p1695-1707. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Tropical+cyclones%22">Tropical cyclones</searchLink><br /><searchLink fieldCode="DE" term="%22Cyclone+tracking%22">Cyclone tracking</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Meteorology%22">Meteorology</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing+devices%22">Remote sensing devices</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22North+Pacific+Ocean%22">North Pacific Ocean</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Accurate identification of the center of a tropical cyclone (TC) is crucial for TC forecasting and early warning. For weak TCs [i.e., maximum sustained wind (MSW) ≤ 17 m s−1], the determination of their near-surface centers is more challenging due to weaker central convection and less pronounced circulation features. Existing objective TC positioning methods often exhibit limited performance for weak TCs, and few are specifically designed for weak TCs. The Automated Rotational Center Hurricane Eye Retrieval (ARCHER) algorithm, which locates TC centers by jointly finding the spiral cloud band center and assumed eye center in satellite images, is a relatively accurate and objective approach. However, it was designed primarily for use with TCs of at least tropical storm intensity (MSW ≥ 17.2 m s−1), and it is less effective for weaker TCs. This study analyzed 8000 TC samples in the western North Pacific (WNP) during 2000–12 to develop M_ARCHER, a modified version of the ARCHER algorithm with adjusted parameters to locate the centers of weak TCs in the WNP. M_ARCHER employs two sets of new optimized parameters tailored for microwave and infrared satellite observations. These parameters include the inclination angle of the spiral cloud band pattern, range and increment for determining the assumed eyewall inner edge radius, and the weights assigned to spiral and eye centering, among others. These modifications improve the algorithm's capability to detect the asymmetric and less-defined structures of weak TCs. Independent tests of the M_ARCHER algorithm show median location errors for weak TCs of 44 km (microwave) and 57 km (infrared) relative to the China Meteorological Administration best track data. For readily available infrared observations, M_ARCHER shows a 20% improvement in location accuracy relative to the original algorithm. Notably, strong wind shear can disrupt the structure of a TC, making the spiral-eye configuration within the M_ARCHER unrealistic and reducing the location accuracy. Significance Statement: Accurately locating the centers of weak tropical cyclones (TCs) remains a challenge in meteorology, and existing methods commonly generate substantial errors. This study aims to improve the accuracy associated with locating the center of a weak TC. We modified the Automated Rotational Center Hurricane Eye Retrieval (ARCHER) algorithm by adjusting its parameters, thereby optimizing its ability to locate weak TCs. Test results indicate that this modified algorithm (M_ARCHER) reduces the location error by 20% when using infrared observations. This approach increases the location accuracy of weak TCs and will greatly improve meteorological monitoring and early warning systems. Future studies should explore the performance of M_ARCHER with respect to various meteorological conditions and extreme weather events. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Applied Meteorology & Climatology 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=189362601 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1175/JAMC-D-24-0133.1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1695 Subjects: – SubjectFull: Tropical cyclones Type: general – SubjectFull: Cyclone tracking Type: general – SubjectFull: Algorithms Type: general – SubjectFull: Meteorology Type: general – SubjectFull: Remote sensing devices Type: general – SubjectFull: North Pacific Ocean Type: general Titles: – TitleFull: Modifying the ARCHER Algorithm to Improve the Tracking of Weak Tropical Cyclones in the Western North Pacific. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Yue – PersonEntity: Name: NameFull: Yang, Xiaoming – PersonEntity: Name: NameFull: Lu, Xiaoqin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 15588424 Numbering: – Type: volume Value: 64 – Type: issue Value: 11 Titles: – TitleFull: Journal of Applied Meteorology & Climatology Type: main |
| ResultId | 1 |
