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    An Overview of the China Meteorological Administration Tropical Cyclone Database

    Source: Journal of Atmospheric and Oceanic Technology:;2013:;volume( 031 ):;issue: 002::page 287
    Author:
    Ying, Ming
    ,
    Zhang, Wei
    ,
    Yu, Hui
    ,
    Lu, Xiaoqin
    ,
    Feng, Jingxian
    ,
    Fan, Yongxiang
    ,
    Zhu, Yongti
    ,
    Chen, Dequan
    DOI: 10.1175/JTECH-D-12-00119.1
    Publisher: American Meteorological Society
    Abstract: he China Meteorological Administration (CMA)?s tropical cyclone (TC) database includes not only the best-track dataset but also TC-induced wind and precipitation data. This article summarizes the characteristics and key technical details of the CMA TC database. In addition to the best-track data, other phenomena that occurred with the TCs are also recorded in the dataset, such as the subcenters, extratropical transitions, outer-range severe winds associated with TCs over the South China Sea, and coastal severe winds associated with TCs landfalling in China. These data provide additional information for researchers. The TC-induced wind and precipitation data, which map the distribution of severe wind and rainfall, are also helpful for investigating the impacts of TCs. The study also considers the changing reliability of the various data sources used since the database was created and the potential causes of temporal and spatial inhomogeneities within the datasets. Because of the greater number of observations available for analysis, the CMA TC database is likely to be more accurate and complete over the offshore and land areas of China than over the open ocean. Temporal inhomogeneities were induced primarily by changes to the nature and quality of the input data, such as the development of a weather observation network in China and the use of satellite image analysis to replace the original aircraft reconnaissance data. Furthermore, technical and factitious changes, such as to the wind?pressure relationship and the satellite-derived current intensity (CI) number?intensity conversion, also led to inhomogeneities within the datasets.
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      An Overview of the China Meteorological Administration Tropical Cyclone Database

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4228126
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    contributor authorYing, Ming
    contributor authorZhang, Wei
    contributor authorYu, Hui
    contributor authorLu, Xiaoqin
    contributor authorFeng, Jingxian
    contributor authorFan, Yongxiang
    contributor authorZhu, Yongti
    contributor authorChen, Dequan
    date accessioned2017-06-09T17:24:44Z
    date available2017-06-09T17:24:44Z
    date copyright2014/02/01
    date issued2013
    identifier issn0739-0572
    identifier otherams-84755.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4228126
    description abstracthe China Meteorological Administration (CMA)?s tropical cyclone (TC) database includes not only the best-track dataset but also TC-induced wind and precipitation data. This article summarizes the characteristics and key technical details of the CMA TC database. In addition to the best-track data, other phenomena that occurred with the TCs are also recorded in the dataset, such as the subcenters, extratropical transitions, outer-range severe winds associated with TCs over the South China Sea, and coastal severe winds associated with TCs landfalling in China. These data provide additional information for researchers. The TC-induced wind and precipitation data, which map the distribution of severe wind and rainfall, are also helpful for investigating the impacts of TCs. The study also considers the changing reliability of the various data sources used since the database was created and the potential causes of temporal and spatial inhomogeneities within the datasets. Because of the greater number of observations available for analysis, the CMA TC database is likely to be more accurate and complete over the offshore and land areas of China than over the open ocean. Temporal inhomogeneities were induced primarily by changes to the nature and quality of the input data, such as the development of a weather observation network in China and the use of satellite image analysis to replace the original aircraft reconnaissance data. Furthermore, technical and factitious changes, such as to the wind?pressure relationship and the satellite-derived current intensity (CI) number?intensity conversion, also led to inhomogeneities within the datasets.
    publisherAmerican Meteorological Society
    titleAn Overview of the China Meteorological Administration Tropical Cyclone Database
    typeJournal Paper
    journal volume31
    journal issue2
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/JTECH-D-12-00119.1
    journal fristpage287
    journal lastpage301
    treeJournal of Atmospheric and Oceanic Technology:;2013:;volume( 031 ):;issue: 002
    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
    yabeshDSpacePersian