Impacts of two super typhoons on the Kuroshio and marginal seas on the Pacific coast of Japan

Tada, Hiroaki; Uchiyama, Yusuke; Masunaga, Eiji

doi:10.1016/j.dsr.2017.12.007

Cited by 20 publications

(8 citation statements)

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“…The JCOPE2 product is provided as daily-averaged sea surface height (SSH), temperature, salinity, and meridional and zonal horizontal current velocities, which are spatiotemporally projected onto the perimeter of the ROMS-L1 model for the open boundary conditions. The one-way off-line nesting approach described in Mason et al (2010), Uchiyama et al (2014), Uchiyama, McWilliams, et al (2017), Uchiyama, Suzue, et al (2017), Uchiyama, Kanki, et al (2017), Uchiyama et al (2018), Kamidaira et al (2017Kamidaira et al ( , 2018, and Tada et al (2018) is applied to successively decreasing grid spacing from~10 km (JCOPE2) to 3 km (ROMS-L1), and further down to 1 km (ROMS-L2). The parent ROMS-L1 model is designed to encompass a wide area to account for the Kuroshio flowing from the Taiwan Strait, consisting of 768 × 768 horizontal grid cells and 32 vertically stretched terrain-and surface-following s layers (Shchepetkin & McWilliams, 2005).…”

Section: The Modelsmentioning

confidence: 99%

“…To improve the reproducibility of the Kuroshio, we introduced a fourdimensional nudging for temperature and salinity with a weak nudging inverse time scale of 1/20 days toward the 10-day averaged JCOPE2 3-D temperature and salinity fields (Uchiyama, McWilliams, et al, 2017). This combination of the data sets and configuration has been exploited for high-resolution modeling of the Kuroshio around Japan extensively with great successes (e.g., Tada et al, 2018;Uchiyama, McWilliams, et al, 2017;Uchiyama, Suzue, et al, 2017). For further details of the present ROMS-L1 model configuration, readers should refer to Kamidaira et al (2017).…”

Section: The Modelsmentioning

confidence: 99%

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Influences of the Kuroshio on Interisland Remote Connectivity of Corals Across the Nansei Archipelago in the East China Sea

et al. 2018

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For the preservation and protection of coral habitats along the Nansei Archipelago in the East China Sea, a submesoscale eddy‐resolving synoptic ocean model was developed based on the Regional Oceanic Modeling System coupled with a 3‐D Lagrangian particle tracking model. Millions of neutrally buoyant particles representing coral spawn and larvae were released from 19 major islands and one lagoon every spring from 2012 to 2015. The model results were compared to satellite data, in situ observation, and surface drifters to confirm reasonable agreement. The connectivity matrix across the archipelago was quantified using Lagrangian probability density functions of the modeled particle displacement. Most particles remained near the release areas, while some traveled long distances by the northeastward drifting Kuroshio, leading to notable interisland coral transport across the archipelago that promotes interisland connectivity. A possible mechanism was examined by analyzing the transition from coastal to pelagic transport of the particles released from the Yaeyama Islands, the southernmost area of the archipelago. The Kuroshio trapped the particles released from the northern coast of the islands with considerable temporal variability in the entrainment rate. By contrast, particles released from the southern coast are markedly affected by the eastward current around the release sites, which significantly reduces their entrainment in the Kuroshio and, thus, long‐distance transport. Some entrained particles were expelled abruptly from the Kuroshio, trapped by the southwestward drifting Kuroshio Counter Current developed between the Kuroshio and the archipelago, and subsequently transported eastward to the islands.

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Section: The Modelsmentioning

confidence: 99%

Section: The Modelsmentioning

confidence: 99%

Influences of the Kuroshio on Interisland Remote Connectivity of Corals Across the Nansei Archipelago in the East China Sea

et al. 2018

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“…A TC induces an ageostrophic current which persists for a relatively short period involving a few days. It possesses a larger energy, mainly from the baroclinic pressure work, than the geostrophic current (Kourafalou et al., 2016; Wei et al., 2014); this ageostrophic current also affects the path of the WBC (Kuo et al., 2018; Tada et al., 2018). For a change involving a longer time scale (∼weeks to a month), qualitative studies about the TC‐driven pressure field change and the corresponding geostrophic current variation have been conducted.…”

Section: Introductionmentioning

confidence: 99%

Impact of Tropical Cyclones on Geostrophic Velocity of the Western Boundary Current

Park

Pak

Kim

et al. 2021

Geophysical Research Letters

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The tropical cyclone (TC) accompanied by tremendous winds is the most destructive atmospheric phenomenon on Earth. Recent studies have reported that the strength of TCs will increase under conditions of global warming (Mei et al., 2015;Walsh et al., 2016;Webster et al., 2005). Under these circumstances, it is all the more important to expand and advance knowledge about the TC not only for its improved prediction and prevention of damage from them, but also for a better understanding of its influence on the climate with respect to its interactions with the ocean.The western boundary current (WBC) is one of the strongest ocean current systems on Earth. This poleward current of geostrophic nature, with a strong thermal gradient (i.e., thick warm layer of water on the ocean side and strongly stratified water on the shelf side), also carries heat into the middle latitudes and contributes toward global heat balance (Hu et al., 2015). The existence of warm water in the basins not only becomes a source of the WBC, but also leads to the generation of a large number of cyclones in the tropics, many of which pass through the WBC in the northwestern part of the Pacific and Atlantic oceans. What happens when these two strong natural processes interact?Many studies on the thermal response of the ocean to TCs have been carried out. The wind stress associated with a TC transfers its momentum onto the upper layer of the ocean; this creates vertical current shear, resulting in vigorous vertical mixing accompanied by sea surface cooling, especially on the right side of the TC passage (D'Asaro et al., 2007;Park et al., 2019;Price, 1981). Also, within the radius of maximum wind of the TC, the strong cyclonic wind stress induces horizontal divergence in the ocean surface Ekman layer, and consequent temperature decrease (or density increase) in the water column is caused by upwelling (i.e., ba-

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“…The oceanic conditions occurring directly below the tropical cyclone, both surface and sub-surface, are often forgotten or not included in the analysis. Hence model studies are required to understand the oceanic processes that happen during the passage of tropical cyclones and how energy is transferred for cyclonic intensifications (Li and Huang 2019;Tada et al 2018). Atmospheric models use the observational SST data as oceanic forcing to simulate the cyclone track and intensity.…”

Section: Introductionmentioning

confidence: 99%

A coupled model analyses on the interaction between oceanic eddies and tropical cyclones over the Bay of Bengal

et al. 2020

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The Bay of Bengal (BOB) region of Indian Ocean is affected by numerous tropical cyclones during pre-and post-monsoon seasons when various eddies are generated in the central and western bay. Here, numerical simulations of few tropical cyclones (Aila, Laila, Phailin, Hudhud and Madi) that occurred in different seasons are carried out using an ocean atmosphere coupled numerical model, consisting of Weather Research and Forecasting (WRF) and Regional Ocean Modeling Systems (ROMS), to analyse the influence of eddies on tropical cyclone intensifications over the bay. The model is able to track the tropical cyclones with less error, while the central pressure and wind speed are underestimated. Also, the coupling process steer the cyclones to the observed track compared to standalone WRF model. The variations in simulated sea surface temperature and salinity are in agreement with the satellite and in situ measurements. During the passage of Phailin and Hudhud over the eddies, the cyclones intensified almost twice of their initial central pressure and wind (before interacting with eddies), which the model captured very well. The eddy feedback factor, which estimate the influence of warm eddies on tropical cyclones, is about 152% for Phailin and 90% for Hudhud. In the case of the pre-monsoon cyclones, Aila and Laila, the eddy feedback factor is estimated up to 36% and 21%, respectively. Madi cyclone lost its intensification up to 80% because of its interaction with a cold eddy. These predictions are comparable with that of the observations during the cyclone passage. Also it is noted that the warm eddy regions resulted in the maximum transfer of latent heat resulting in strong intensifications of the cyclones. Our study reveals that the eddies play an important role in the intensification and dissipation of BOB cyclones and understanding their nature can help in estimating the track and intensity of cyclones.

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Impacts of two super typhoons on the Kuroshio and marginal seas on the Pacific coast of Japan

Cited by 20 publications

References 47 publications

Influences of the Kuroshio on Interisland Remote Connectivity of Corals Across the Nansei Archipelago in the East China Sea

Influences of the Kuroshio on Interisland Remote Connectivity of Corals Across the Nansei Archipelago in the East China Sea

Impact of Tropical Cyclones on Geostrophic Velocity of the Western Boundary Current

A coupled model analyses on the interaction between oceanic eddies and tropical cyclones over the Bay of Bengal

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