1981-2019年东南亚风暴潮数据集

利用普林斯顿海洋模式POM，构建东南亚区域的风暴潮模式。模式覆盖范围为97°E~128°E；2°S~28°N，地形数据利用大洋地势图（General bathymetric chart of the oceans，GEBCO），水平分辨率为1/12°×1/12°（约9.25km×9.25km），垂向采用地形跟随的sigma坐标，分为4层。潮位边界采用俄勒冈州大学的潮汐模型（OTPS）提供边界处的潮汐调和常数，风场强迫和边界场为单位自主构建的海气耦合模式提供。在此基础上，逐年对东南亚区域的风暴潮模式生成了1981-2019年东南亚风暴潮数据集。数据集的时间跨度为1981-2019年，每个月的数据存储为1个netCDF文件。数据集包含了总水位（E）、风暴增水（SG）、各分层的总经向流速（U）和总纬向流速（V）、经向潮流（UT）和纬向潮流（VT）等要素，时间间隔为3小时。

Using the Princeton Ocean Model (POM), a storm surge model for the Southeast Asian region was developed. The model covers a spatial domain of 97°E to 128°E and 2°S to 28°N. Topographic data was sourced from the General Bathymetric Chart of the Oceans (GEBCO), with a horizontal resolution of 1/12° × 1/12° (approximately 9.25 km × 9.25 km). The vertical dimension uses terrain-following sigma coordinates with 4 layers. Tidal boundary conditions were provided by the Oregon State University Tidal Prediction Software (OTPS), which supplies tidal harmonic constants at the model boundaries. Wind forcing and open boundary fields were provided by a self-developed air-sea coupled model from our institution. Based on this configuration, a Southeast Asian storm surge dataset spanning 1981 to 2019 was generated annually through simulations with the regional storm surge model. The dataset covers the period from 1981 to 2019, with monthly data stored in individual netCDF files. It includes variables such as total water level (E), storm surge (SG), total meridional velocity (U) and total zonal velocity (V) for each vertical layer, tidal meridional current (UT) and tidal zonal current (VT), with a temporal resolution of 3 hours.

搜集汇总

背景与挑战

背景概述

该数据集是基于普林斯顿海洋模式POM构建的东南亚区域风暴潮模拟数据，覆盖1981-2019年，水平分辨率约9.25公里，每月存储为一个netCDF文件。数据集包含总水位、风暴增水、经向和纬向流速等关键海洋要素，时间间隔为3小时，总存储容量达261.01 GB，适用于风暴潮研究和气候分析。