Assimilation Research of Wind Stress Drag Coefficient Based on the Linear Expression

Assimilation Research of Wind Stress Drag Coefficient Based on the Linear Expression
复制标题

基于线性表达式的风应力阻力系数同化研究

DOI:
10.3390/jmse9101135
复制
发表时间:
2021-10
影响因子:
2.9
通讯作者:
Lv Xianqing
Lv Xianqing
中科院分区:
地球科学3区
文献类型:
--
作者:
Xu Junli;Nie Yuling;Ma Kai;Shi Wenqi;Lv Xianqing

文献摘要

参考文献

相似文献

风应力拖曳系数在风暴潮模型中起着重要的作用。通过数值模拟,揭示了7008号台风期间,风应力拖曳系数对渤、黄、东海风暴潮水位的影响。在资料同化过程中,拖曳系数是基于线性表达式Cd =(a + B × U10)× 10−3(一般来说,a和B是由观测资料确定的经验参数)。结果表明,资料同化方法的性能远远上级阻力系数公式。此外,台风眼附近的风暴潮水位变化明显。此外,还研究了采用资料同化方法时,Cd表达式中a和B的初始值对风暴潮水位的影响。结果表明,当a和B同时为0时,风暴潮水位的模拟结果最接近观测值;当a和B的初始值分别等于Smith、Wu和Geernaert等人的阻力系数时,风暴潮水位的模拟结果略有差异。因此,在进行资料同化时,应选择合适的a、B初值。在风暴潮数值模拟中,资料同化方法比拖曳系数参数化方法有更好的效果。
The wind stress drag coefficient plays an important role in storm surge models. This study reveals the influences of wind stress drag coefficients, which are given in form of formulas and inverted by the data assimilation method, on the storm surge levels in the Bohai Sea, Yellow Sea, and East China Sea during Typhoon 7008. In the process of data assimilation, the drag coefficient is based on the linear expression Cd = (a + b × U10) × 10−3 (generally speaking, a and b are empirical parameters determined by observed data). The results showed that the performance of the data assimilation method was far superior to those of drag coefficient formulas. Additionally, the simulated storm surge levels obviously changed in the neighborhood of typhoon eye. Furthermore, the effect of initial values of a and b in the Cd expression on the storm surge levels was also investigated when employing the data assimilation method. The results indicated that the simulation of storm surge level was the closest to the observation when a and b were simultaneously equal to zero, whereas the simulations had slight differences when the initial values of a and b were separately equal to the drag coefficients from the work of Smith, Wu, and Geernaert et al.. Therefore, we should choose appropriate initial values for a and b by using the data assimilation method. As a whole, the data assimilation method is much better than drag coefficient parameterization formulas in the simulation of storm surges.
DOI: 10.1016/j.ocemod.2013.08.009
发表时间: 2013-12
期刊: Ocean Modelling
影响因子: 3.2
作者:
Yineng Li;Shiqiu Peng;Jing Yan;Lian Xie
通讯作者: Lian Xie
DOI: 10.1016/j.oceaneng.2019.106260
发表时间: 2019-09
期刊: Ocean Engineering
影响因子: 5
作者:
Wei-Bo Chen;Hongey Chen;S. Hsiao;Chih-Hsin Chang;Lee-Yaw Lin
通讯作者: Wei-Bo Chen;Hongey Chen;S. Hsiao;Chih-Hsin Chang;Lee-Yaw Lin
DOI: 10.3390/app10207382
发表时间: 2020-10
期刊: Applied Sciences
影响因子: --
作者:
Li Zhang;S. Shang;Feng Zhang;Yanshuang Xie
通讯作者: Li Zhang;S. Shang;Feng Zhang;Yanshuang Xie
DOI: 10.1016/j.dynatmoce.2018.06.001
发表时间: 2018-09
影响因子: 1.7
作者:
Xiangyang Zheng;R. Mayerle;Yebao Wang;Hua Zhang
通讯作者: Xiangyang Zheng;R. Mayerle;Yebao Wang;Hua Zhang
DOI: 10.1016/j.ecss.2021.107547
发表时间: 2021-08
影响因子: 2.8
作者:
R. Mel;D. P. Viero;L. Carniello;A. Defina;L. D'Alpaos
通讯作者: R. Mel;D. P. Viero;L. Carniello;A. Defina;L. D'Alpaos