Tide Model CST1 of China and Its Application for the Water Level Reducer of Bathymetric Data

Tide Model CST1 of China and Its Application for the Water Level Reducer of Bathymetric Data
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中国潮汐模型CST1及其在测深数据水位缩减器中的应用

DOI:
10.1080/01490419.2017.1308896
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发表时间:
2017-05
期刊:
影响因子:
1.6
通讯作者:
Zhou Xing-Hua
Zhou Xing-Hua
中科院分区:
地球科学4区
文献类型:
--
作者:
Xu Jun;Bao Jing-Yang;Zhang Chuan-Yin;Zhou Xing-Hua

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摘要由于中国海域潮汐普遍较大且复杂,全球潮汐模式在中国海域的表现远不如在深水中。利用普林斯顿海洋模式(POM)和混合同化技术,建立了一个空间分辨率为1.2' × 1.2'的13个主要分潮模式(简称CST 1)。利用中国大陆架海图和ETOPO 1数据库生成水深格网模型。底部摩擦系数通过对每个网格的深度的线性依赖性来参数化。混合同化中的权参数是分量振幅的函数。与我国沿海沿着33个验潮站比较,8个主要分潮站的RSS误差为12.09 cm,4个主要分潮站(M2,S2,K1,O 1)的RSS误差为10.76 cm。利用空间插值剩余水位的CST 1为水深测量提供水位降深器。黄海半日分潮无潮点附近的一个例子说明了它的过程。评定结果表明,该方法能满足我国海道测量标准的精度要求。实际应用表明,CST-1能较准确地预报天文潮位,是一种潜在的经济可行的减潮措施,但在勘测规划阶段还需进行一定的校核。
ABSTRACT The performance of global tide models in China's seas is far worse than in deep water, owing to generally larger and more complex tides. An ocean tide model (named CST1) was developed by Princeton Ocean Model (POM) and blending assimilation technique, which includes 13 major constituents with a 1.2' × 1.2' spatial resolution. The nautical charts over the Chinese continental shelves and ETOPO1 database are used to generate the bathymetric grid model. The bottom friction coefficient is parameterized through a linear dependency on the depth of each grid. The weight parameter in blending assimilation is a function of the amplitude of constituent. Compared with 33 tide gauges along the Chinese coastline, the Root Sum Square (RSS) error of 8 major constituents is 12.09 cm, and the RSS of 4 major constituents (M2, S2, K1, O1) is 10.76 cm. CST1 with spatially interpolated residual water level was used to provide water level reducers for bathymetric survey. An example near amphidromic point of semi-diurnal constituents in the Yellow Sea demonstrated its process. Assessment showed that it can meet the required accuracies of standards of hydrographic surveys in China. The application proved that CST1 can predict adequately precise astronomical tide level, and is potentially economical and the best approach to provide water level reducers, although some checks should be made in survey planning stage.
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