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    Impact of Data Resolution on Tracking Southern Ocean Cyclones

    Source: Monthly Weather Review:;2022:;volume( 151 ):;issue: 001::page 3
    Author:
    Rui Zhong
    ,
    Qinghua Yang
    ,
    Kevin Hodges
    ,
    Renhao Wu
    ,
    Dake Chen
    DOI: 10.1175/MWR-D-22-0121.1
    Publisher: American Meteorological Society
    Abstract: The ERA5 new generation of high-resolution reanalysis provides a possibility to obtain more accurate cyclone tracks in the Southern Ocean. With a commonly used cyclone tracking algorithm, this study evaluates the impact of data resolution on Southern Ocean cyclone tracks for the period from 1980 to 2020 by preprocessing the ERA5 dataset at different spatial and temporal resolutions. A new track-matching method is proposed to assure an accurate comparison of different track datasets, considering the multiple match pairs and best match pair for each track. It is found that the number, distribution, and characteristics of cyclones are considerably different for various resolution scenarios. The higher spatial resolution captures more tracks, while the increased temporal resolution decreases the number, as well as the lifetime and the moving distance of tracks. The shared cyclones of different track datasets show different characteristics, influenced by both spatial and temporal resolutions. Higher spatial resolution schemes tend to identify more additional track points after the overlapping time of shared tracks rather than before. The spatial distribution pattern of additional track points is consistent when increasing temporal or spatial resolution separately. These results are a reference for the application of objective tracking algorithms in the Southern Ocean using input data with higher resolution.
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      Impact of Data Resolution on Tracking Southern Ocean Cyclones

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4289979
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    • Monthly Weather Review

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    contributor authorRui Zhong
    contributor authorQinghua Yang
    contributor authorKevin Hodges
    contributor authorRenhao Wu
    contributor authorDake Chen
    date accessioned2023-04-12T18:37:29Z
    date available2023-04-12T18:37:29Z
    date copyright2022/12/22
    date issued2022
    identifier otherMWR-D-22-0121.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4289979
    description abstractThe ERA5 new generation of high-resolution reanalysis provides a possibility to obtain more accurate cyclone tracks in the Southern Ocean. With a commonly used cyclone tracking algorithm, this study evaluates the impact of data resolution on Southern Ocean cyclone tracks for the period from 1980 to 2020 by preprocessing the ERA5 dataset at different spatial and temporal resolutions. A new track-matching method is proposed to assure an accurate comparison of different track datasets, considering the multiple match pairs and best match pair for each track. It is found that the number, distribution, and characteristics of cyclones are considerably different for various resolution scenarios. The higher spatial resolution captures more tracks, while the increased temporal resolution decreases the number, as well as the lifetime and the moving distance of tracks. The shared cyclones of different track datasets show different characteristics, influenced by both spatial and temporal resolutions. Higher spatial resolution schemes tend to identify more additional track points after the overlapping time of shared tracks rather than before. The spatial distribution pattern of additional track points is consistent when increasing temporal or spatial resolution separately. These results are a reference for the application of objective tracking algorithms in the Southern Ocean using input data with higher resolution.
    publisherAmerican Meteorological Society
    titleImpact of Data Resolution on Tracking Southern Ocean Cyclones
    typeJournal Paper
    journal volume151
    journal issue1
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-22-0121.1
    journal fristpage3
    journal lastpage22
    page3–22
    treeMonthly Weather Review:;2022:;volume( 151 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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