中美洲热带气旋外部大小的数据库。

IF 1 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2024-11-30 eCollection Date: 2024-12-01 DOI:10.1016/j.dib.2024.111179
Adolfo Perez-Estrada, Christian Dominguez
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引用次数: 0

摘要

热带气旋(tc)是一种灾难性的现象,不断威胁着在热带地区定居的人口。它们的直接影响(强风、风暴潮和强降水)被限制在TC中心附近。另一方面,与远离TC中心的雨带相关的极端降雨事件造成了间接影响。不同的tc大小定义没有考虑这些间接影响,尽管这些定义用于减少灾害风险的策略。基于TC规模的风险管理需要一个适当的TC危害定义,以便充分规划早期行动。在这里,我们开发了两种算法,即最外层云半径(ROCLOUD)和降水带半径(RPB),利用HURDAT数据、GPM卫星图像和径向风廓线来定义外层TC大小。我们分析了2000-2020年期间北大西洋和北太平洋东部盆地的191和336个tc。我们创建了一个外部TC大小的数据库,该数据库在TC生命周期中呈现6小时的信息,从气旋前到衰变状态。该数据库还每6小时提供TC位置,两种算法定义的TC外部尺寸,以及TC形状度量(不对称,分散和坚固性)。该数据库以文本格式免费提供Mendeley data[1]。我们给出了由ROCLOUD和RBP算法和形状度量定义的四象限半径和平均半径的统计数据。我们期望该数据库对热带气旋预警系统和中美洲区域风险管理研究有用。
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A database for the outer sizes of tropical cyclones over the Middle Americas.

Tropical cyclones (TCs) are catastrophic phenomena that constantly threaten populations settled in the tropics. Their direct effects (strong winds, storm surges, and intense precipitation) are confined near the TC center. On the other hand, the indirect effects are due to extreme rainfall events associated with rainbands distant from the TC center. Diverse TC-size definitions do not consider these indirect effects, although these definitions are used for disaster risk reduction strategies. Risk management based on TC size needs an appropriate definition of TC hazards for adequately planning early actions. Here, we developed two algorithms, Radius of the Outermost CLOUD (ROCLOUD) and Radius of Precipitation Band (RPB), to define outer TC sizes using the HURDAT data, GPM satellite imagery, and a radial wind profile. We analyzed 191 and 336 TCs over the North Atlantic and the Eastern North Pacific basins, respectively, during the 2000-2020 period. We create a database for outer TC sizes that presents 6-hourly information during the TC lifetime, from pre-cyclonic to decaying states. This database also provides the TC location, TC outer sizes defined by the two algorithms, and TC shape metrics (asymmetry, dispersion and solidity) every 6 h. The database is freely available in a text format at Mendeley data [1]. We present statistics for the four quadrant radii and mean radius defined by the ROCLOUD and RBP algorithms and the shape metrics. We expect this database can be useful to Early Warning Systems for Tropical Cyclones and regional risk management studies in the Middle Americas.

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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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