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Dataset of Extreme Storm Surge Intensity in Offshore and Coastal Areas of Southeastern China (1958-2016)


JI Tao1SHAO Jinliang1WANG Liupeng1ZHU Yunqiang*2DENG Shejun1YU Sijun1
1 College of Architectural Science and Engineering,Yangzhou University,Yangzhou 225127,China2 Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China

DOI:10.3974/geodb.2025.01.05.V1

Published:Jan. 2025

Visitors:3       Data Files Downloaded:0      
Data Downloaded: 无      Citations:

Key Words:

Southeastern coastal areas,China,extreme storm surge,ASPI

Abstract:

Based on the records analysis of storm surge activities in the offshore and coastal areas of southeastern China from 1958 to 2016 and the daily Accumulated Storm Surge Potential Intensity (ASPI) data, the authors developed the dataset of extreme storm surge intensity in offshore and coastal areas of southeastern China (1958 - 2016). The dataset includes the following data from 1958 to 2016: (1) monthly, yearly, and decadal ASPI for strong storm surges; (2) monthly, yearly, and decadal ASPI for super storm surges. The spatial resolution of the ASPI is 0.25°x0.25°. The dataset is archived in .tif format, and consists of 310 data files with data size of 10.4 MB (Compressed into one file with 1.12 MB). The analysis paper based on this dataset was published in the Journal of Geophysical Research: Atmospheres, Vol. 126, No. 4, 2021.

Foundation Item:

Natural Science Foundation of Jiangsu Province (BK20210833); China Postdoctoral Science Foundation (2021M703175); Jiangsu Education Department (2024SJYB1515)

Data Citation:

JI Tao, SHAO Jinliang, WANG Liupeng, ZHU Yunqiang*, DENG Shejun, YU Sijun.Dataset of Extreme Storm Surge Intensity in Offshore and Coastal Areas of Southeastern China (1958-2016)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2025. https://doi.org/10.3974/geodb.2025.01.05.V1.

References:


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Data Product:

ID Data Name Data Size Operation
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum