contributor author | Sun, Hui | |
contributor author | Zhao, Wei | |
contributor author | Yang, Qingxuan | |
contributor author | Cai, Shuqun | |
contributor author | Liang, Xinfeng | |
contributor author | Tian, Jiwei | |
date accessioned | 2019-10-05T06:45:34Z | |
date available | 2019-10-05T06:45:34Z | |
date copyright | 4/3/2019 12:00:00 AM | |
date issued | 2019 | |
identifier other | JTECH-D-18-0046.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4263328 | |
description abstract | AbstractInternal waves can transfer energy from large-scale to microscale processes; however, the spectra of these waves remain poorly known. A method that combines modal harmonic decomposition and maximum-likelihood method is proposed in this study to estimate four-dimensional internal wave spectrum using limited mooring observations. Using this method, a four-dimensional internal wave spectrum was obtained for the first time based on the mooring measurements collected during the South China Sea (SCS) Internal Wave Experiment in July 2014. The spectrum was then validated by comparing with the spectrum based on Fourier analysis and with the modified Garrett?Munk internal wave spectrum, respectively. The power of the internal wave spectrum decreased obviously with increasing frequency and wavenumber, with a falloff rate of ??2 beyond tidal frequencies, and with falloff rates of kh?2 and kz?2.5 for horizontal and vertical wavenumbers, respectively. In addition, at a fixed frequency and vertical wavenumber, the propagation direction and phase speed of internal waves can be obtained through the four-dimensional spectrum. In summary, we verified the feasibility of estimating four-dimensional internal wave spectrum using limited mooring observations in this study, and the method we proposed should be applicable to other regions where such mooring observations are available. | |
publisher | American Meteorological Society | |
title | Estimating Four-Dimensional Internal Wave Spectrum in the Northern South China Sea | |
type | Journal Paper | |
journal volume | 36 | |
journal issue | 7 | |
journal title | Journal of Atmospheric and Oceanic Technology | |
identifier doi | 10.1175/JTECH-D-18-0046.1 | |
journal fristpage | 1199 | |
journal lastpage | 1216 | |
tree | Journal of Atmospheric and Oceanic Technology:;2019:;volume 036:;issue 007 | |
contenttype | Fulltext | |