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date accessioned2022-05-09T00:49:14Z
date available2022-05-09T00:49:14Z
date copyright11 Apr 2022
date issued2022
identifier otherJTECH-D-21-0116.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4285562
description abstractThe yearly mode-1 M2 internal tide model in 2019 is constructed using sea surface height measurements made by six concurrent satellite altimetry missions: Jason-3, Sentinel-3A, Sentinel-3B, CryoSat-2, Haiyang-2A, and SARAL/AltiKa. The model is developed following a three-step procedure consisting of two rounds of plane wave analysis with a spatial bandpass filter in between. Prior mesoscale correction is made on the altimeter data using AVISO gridded mesoscale fields. The model is labeled Y2019, because it represents the 1-yr-coherent internal tide field in 2019. In contrast, the model developed using altimeter data from 1992 to 2017 is labeled MY25, because it represents the multiyear-coherent internal tide field in 25 years. Thanks to the new mapping technique, model errors in Y2019 are as low as those in MY25. Evaluation using independent altimeter data confirms that Y2019 reduces slightly less variance (∼6%) than MY25. Further analysis reveals that the altimeter data from five missions (without Jason-3) can yield an internal tide model of almost the same quality. Comparing Y2019 and MY25 shows that mode-1 M2 internal tides are subject to significant interannual variability in both amplitude and phase, and their interannual variations are a function of location. Along southward internal tides from Amukta Pass, the energy flux in Y2019 is 2 times larger and the phase speed is about 1.1% faster. This mapping technique has been applied successfully to 2017 and 2018. This work demonstrates that yearly internal tides can be observed by concurrent altimetry missions and their interannual variations can be determined.
titleDevelopment of the Yearly Mode-1 M2 Internal Tide Model in 2019
typeJournal Paper
journal volume39
journal issue4
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/JTECH-D-21-0116.1
page463–478
treeJournal of Atmospheric and Oceanic Technology:;2022:;volume( 039 ):;issue: 004
contenttypeFulltext


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