Show simple item record

contributor authorSun, Hui
contributor authorZhao, Wei
contributor authorYang, Qingxuan
contributor authorCai, Shuqun
contributor authorLiang, Xinfeng
contributor authorTian, Jiwei
date accessioned2019-10-05T06:45:34Z
date available2019-10-05T06:45:34Z
date copyright4/3/2019 12:00:00 AM
date issued2019
identifier otherJTECH-D-18-0046.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4263328
description abstractAbstractInternal 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.
publisherAmerican Meteorological Society
titleEstimating Four-Dimensional Internal Wave Spectrum in the Northern South China Sea
typeJournal Paper
journal volume36
journal issue7
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/JTECH-D-18-0046.1
journal fristpage1199
journal lastpage1216
treeJournal of Atmospheric and Oceanic Technology:;2019:;volume 036:;issue 007
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record