Abstract
A dataset entitled “A potential risk index dataset for landfalling tropical cyclones over the Chinese mainland” (PRITC dataset V1.0) is described in this paper, as are some basic statistical analyses. Estimating the severity of the impacts of tropical cyclones (TCs) that make landfall on the Chinese mainland based on observations from 1401 meteorological stations was proposed in a previous study, including an index combining TC-induced precipitation and wind (IPWT) and further information, such as the corresponding category level (CAT_IPWT), an index of TC-induced wind (IWT), and an index of TC-induced precipitation (IPT). The current version of the dataset includes TCs that made landfall from 1949–2018; the dataset will be extended each year. Long-term trend analyses demonstrate that the severity of the TC impacts on the Chinese mainland have increased, as embodied by the annual mean IPWT values, and increases in TCinduced precipitation are the main contributor to this increase. TC Winnie (1997) and TC Bilis (2006) were the two TCs with the highest IPWT and IPT values, respectively. The PRITC V1.0 dataset was developed based on the China Meteorological Administration’s tropical cyclone database and can serve as a bridge between TC hazards and their social and economic impacts.
摘要
本文介绍了基于热带气旋路径、 强度、 及风雨资料发展的中国登陆热带气旋致灾风险指数数据集 (PRITC V1.0), 并基于该数据集给出了热带气旋的多年统计特征. PRITC 应用了中国 1401 个观测站的风雨数据, 反映的是热带气旋风雨影响程度及可能灾害损失的严重性. 该数据集包含 1949 年至今所有登陆中国大陆热带气旋的大风影响指数 (IWT)、 降水影响指数 (IPT)、 风雨联合指数 (IPWT) 及其相应的影响等级 (CAT_IPWT)、 热带气旋第一次登陆中国大陆的省份和登陆时的强度等级, 每年更新一次. 值得注意的是, 由于大部分地面观测站在 1960 年前陆续建成, 1960 年前的 PRITC 可能出现低估. 1960–2018 年的长期变化趋势表明, 登陆中国大陆单个热带气旋带来的风雨影响有明显的加重趋势, 其中降水影响起主要贡献. 在此期间, IPWT 和 IPT 值最高的是 9711 号台风 Winnie 和 1614 号台风Bilis. PRITC 在热带气旋风雨影响与可能引起的灾害程度之间架起桥梁, 能更准确地反映热带气旋的破坏力, 是对当前热带气旋强度等级划分的有益补充, 有望为开展更具针对性和实用性的热带气旋科研和业务工作提供基础数据支撑.
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Acknowledgements
The authors thank the editor and anonymous reviewers for their constructive comments and suggestions. This work has been supported by the National Key Research and Development Program of China (Grant No. 2017YFC1501604), National Natural Science Foundations of China (Grant No. 41875114), Shanghai Science & Technology Research Program (Grant No. 19dz1200101), National Basic Research Program of China (Grant No. 2015CB452806), Shanghai Sailing Program (Grant No. 21YF1456900), and Basic Research Projects of the Shanghai Typhoon Institute of the China Meteorological Administration (Grant Nos. 2020JB06, and 2021JB06).
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Chen, P., Yu, H., Cheung, K.K.W. et al. A Potential Risk Index Dataset for Landfalling Tropical Cyclones over the Chinese Mainland (PRITC dataset V1.0). Adv. Atmos. Sci. 38, 1791–1802 (2021). https://doi.org/10.1007/s00376-021-0365-y
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DOI: https://doi.org/10.1007/s00376-021-0365-y