Ensemble numerical forecasts of the sporadic Kuroshio water intrusion (kyucho) into shelf and coastal waters

Isobe, Atsuhiko; Kako, Shin’ichiro; Guo, Xinyu; Takeoka, Hidetaka

doi:10.1007/s10236-011-0519-z

Cited by 13 publications

(7 citation statements)

References 21 publications

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“…In the "abnormal sea level", coastal sea level rises several tens of centimeters due to internal dynamics such as propagation of coastal trapped waves (Usui et al 2014). In the "Kuroshio water intrusion", spikes in currents and temperature occur due to undulations of the Kuroshio front (Isobe et al 2012). To predict such phenomena, internal dynamical processes in the coastal seas need to be simulated.…”

Section: Introductionmentioning

confidence: 99%

“…Model studies are especially active near the Seto Inland Sea, and models with a horizontal resolution of 1-2 km have been presented as follows (see Fig. 2 for place names): Chang et al (2009) used a POM model with a horizontal resolution of 1 km to show seasonal variations of surface circulations within the Seto Inland Sea; Isobe et al (2010) and Isobe et al (2012) used a FVCOM model with a horizontal resolution of 1 km to forecast the Kuroshio water intrusion in the Bungo Channel; Miyazawa et al (2012) used a POM model with a horizontal resolution of 2 km (1/36 • ) to reproduce the frontal structure in the Kii Channel; and Kuroda et al (2013Kuroda et al ( , 2014) used a ROMS model with a horizontal resolution of 2 km to reveal circulations and formation processes of the winter mixed layer in the Tosa Bay.…”

Section: Introductionmentioning

confidence: 99%

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Development of an operational coastal model of the Seto Inland Sea, Japan

Sakamoto¹,

Yamanaka²,

Tsujino³

et al. 2015

Ocean Dynamics

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We have developed a coastal model of the Seto Inland Sea, Japan, for a monitoring and forecasting system operated by the Japan Meteorological Agency (JMA). We executed a hindcast experiment using reanalysis datasets for the atmospheric and lateral boundaries without ocean initialization by data assimilation. The seasonal variability is verified to be realistic by comparing sea surface temperature and salinity of the hindcast experiment with observations. With a horizontal resolution of approximately 2 km, the model represents explicitly various coastal phenomena with a scale of 10-100 km, such as the Kuroshio water intrusion into Japanese coasts. This leads to good representation of intramonthly variations. For example, intensity of the sea level undulations with a period shorter than 23 days shows 1.6-fold improvement, as compared to the present model of JMA with the horizontal resolution of approximately 10 km. In addition to the increased resolution, the model is optimized for coastal modeling as follows. Incorporation of a tidal mixing parameterization reduces a high temperature bias in the Bungo Channel (a western channel of the Seto Inland Sea) and contributes to formation of a frontal structure. An accurate dataset of the river discharges is used for runoff, which has a strong impact on salinity. Enhancement of coastal friction improves surface currents. Owing to the increased resolution and these optimizations, the model shows realistic variability in a wide temporal range from several days to seasons. Root-mean-square errors of sea surface temperature and heights are evaluated as 1-2 K and 7-10 cm, respectively, without data assimilation. In the eastern part, however, the predictability is relatively low, which might be related to representation of an eastward mean flow in the Seto Inland Sea.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of an operational coastal model of the Seto Inland Sea, Japan

Sakamoto¹,

Yamanaka²,

Tsujino³

et al. 2015

Ocean Dynamics

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“…The proximity of the Kuroshio Current to the coast of Wakayama Prefecture [ 68 ] and the particular oceanography around the Kii Chanel, which connects the eastern part of the Seto Inland Sea to the open sea in the Pacific Ocean, may favor egg and larval retention [ 69 ]. However, intrusion of Kuroshio waters into the shelf and coastal waters of the Seto Inland Sea occur, and may originate “Kyucho”, or “sudden stormy currents” in Japanese [ 68 , 70 ]. This process may cause significant damage and result in escape episodes from aquaculture facilities in the Seto Inland Sea [ 33 , 67 ] and references therein.…”

Section: Discussionmentioning

confidence: 99%

Effects of Large-Scale Releases on the Genetic Structure of Red Sea Bream (Pagrus major, Temminck et Schlegel) Populations in Japan

et al. 2015

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Large-scale hatchery releases are carried out for many marine fish species worldwide; nevertheless, the long-term effects of this practice on the genetic structure of natural populations remains unclear. The lack of knowledge is especially evident when independent stock enhancement programs are conducted simultaneously on the same species at different geographical locations, as occurs with red sea bream (Pagrus major, Temminck et Schlegel) in Japan. In this study, we examined the putative effects of intensive offspring releases on the genetic structure of red sea bream populations along the Japanese archipelago by genotyping 848 fish at fifteen microsatellite loci. Our results suggests weak but consistent patterns of genetic divergence (F ST = 0.002, p < 0.001). Red sea bream in Japan appeared spatially structured with several patches of distinct allelic composition, which corresponded to areas receiving an important influx of fish of hatchery origin, either released intentionally or from unintentional escapees from aquaculture operations. In addition to impacts upon local populations inhabiting semi-enclosed embayments, large-scale releases (either intentionally or from unintentional escapes) appeared also to have perturbed genetic structure in open areas. Hence, results of the present study suggest that independent large-scale marine stock enhancement programs conducted simultaneously on one species at different geographical locations may compromise native genetic structure and lead to patchy patterns in population genetic structure.

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“…The subjects of papers in this special issue include four on data assimilations-hindcast and/or test forecast (i.e., using past data but without data assimilation; Isobe et al 2012;Miyazawa et al 2012;Yin et al 2012;Yao et al 2012), one on process sensitivity (Xing et al 2012), one on ice floe observation with modeling (Shu et al 2012), and two on processes with observational and modeling analyses (Ezer et al 2012;Wada et al 2012).…”

mentioning

confidence: 99%