%0 Dataset
%T ASM-SS: The first quasi global high spatial resolution coastal storm surge dataset reconstructed based on tidal level observation records (1940-2020)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/72ef6321-b9d3-4e28-bf3e-2b977d932527
%W NCDC
%R 10.5281/zenodo.14034726
%A Jin Taoyong
%K Extreme sea level;storm surge;data-driven model;full site modeling
%X This data is the first to implement a data-driven model-based full site modeling framework at a quasi global scale in areas severely affected by storm surges caused by tropical cyclones. Using tide station records and the European Centre for Medium Range Weather Forecasts (ECMWF) reanalysis dataset v5 (ERA5) data, a high spatial resolution (10 kilometers along the coastline) hourly storm surge dataset, ASM-SS (Site wide Modeling Storm Surge), was generated, covering a range of latitude 45 ° S to latitude 45 ° N and recording a length of over 80 years (1940 to 2020). This dataset is provided monthly in the form of NetCDF files, each containing five parameters: longitude, latitude, node, time, and storm surge level. Longitude and latitude represent the geographical location of nodes in degrees. The time unit is the accumulated number of hours since January 1, 1900 at 00:00:00. The storm surge water level is given in meters. Users can use longitude, latitude, and time as keywords to filter storm surge levels at nodes of interest within the target time period. In addition, the spatial resolution of nodes along the coastline is 10 kilometers. Due to the rapid changes in sea surface during tropical cyclones, the time resolution of storm surge levels is set to per hour. This dataset can provide potential alternative support for SS analysis applications in coastal communities.