Linkages among interannual variations of shoreline, wave and climate at Hasaki, Japan

Kuriyama, Yoshiaki; Banno, Masayuki; Suzuki, Takayuki

doi:10.1029/2011gl050704

Cited by 45 publications

(30 citation statements)

References 26 publications

(22 reference statements)

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“…Offshore waves were measured at a water depth of about 24 m with an ultrasonic wave gauge for 20 min every 2 h (see location in Figure ). Waves are large from January to April owing to extratropical cyclones and from September to October owing to tropical cyclones (typhoons) (Kuriyama et al ., ). Missing data, including those for after the 2011 off the Pacific coast of Tohoku Earthquake, were supplied using values measured at nearby stations and estimated as described in Appendix A.…”

Section: Data Descriptionmentioning

confidence: 99%

Regime shifts in the multi‐annual evolution of a sandy beach profile

Kuriyama

Yanagishima

2018

Earth Surf Processes Landf

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Extreme storms occasionally induce extraordinarily large morphological changes, which may have major impacts on coastal resilience, tourism and the environment. Some of the changes are persistent, and they are defined as regime shifts. During a 28‐year period from 1986 to 2014, the foreshore and the inner transition zone of the Hasaki coast of Japan underwent four morphological stages separated by regime shifts in beach profiles. From stage 2 to stages 3 and 4, over a relatively short period between 2006 and 2008, the beach profiles in the foreshore and the inner transition zone drastically changed, mainly because of large offshore waves. From stage 2 to stage 3, the foreshore and the inner transition zone were greatly eroded. Then, from stage 3 to stage 4, although the inner transition zone was further eroded, the foreshore underwent accretion. The severe erosion of the inner transition zone over the 2‐year period formed a steep slope, which was inferred to have led to accretion in the foreshore in stage 4. Stage 4 persisted for approximately 7 years, and the beach profile had not returned to a similar morphology to those of stages 1 or 2 by the end of the study period. © 2018 John Wiley & Sons, Ltd.

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Section: Data Descriptionmentioning

confidence: 99%

Regime shifts in the multi‐annual evolution of a sandy beach profile

Kuriyama

Yanagishima

2018

Earth Surf Processes Landf

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“…Using a simple approach, Kuriyama et al (2012) revealed that about 45% of the interannual shoreline variability measured at a NW Pacific Ocean beach can be attributed to largescale climate fluctuations described through a combination of teleconnection pattern indices. Barnard et al (2015) recently gave new evidence that large-scale atmospheric circulation patterns control unusual, local storm-driven shoreline change around the Pacific Basin, with enhanced erosion along the NW American coast and the SE Australian coast caused by extreme El Niño and La Niña, respectively.…”

Section: Introductionmentioning

confidence: 99%

Statistical modeling of interannual shoreline change driven by North Atlantic climate variability spanning 2000–2014 in the Bay of Biscay

et al. 2016

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Modeling studies addressing daily to interannual coastal evolution typically relate shoreline change with waves, currents and sediment transport through complex processes and feedbacks. For wave-dominated environments, the main driver (waves) is controlled by the regional atmospheric circulation. Here a simple weather regime-driven shoreline model is developed for a 15-year shoreline dataset (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014) collected at Truc Vert beach, Bay of Biscay, SW France. In all, 16 weather regimes (four per season) are considered. The centroids and occurrences are computed using the ERA-40 and ERA-Interim reanalyses, applying k-means and EOF methods to the anomalies of the 500-hPa geopotential height over the North Atlantic Basin. The weather regime-driven shoreline model explains 70% of the observed interannual shoreline variability. The application of a proven wavedriven equilibrium shoreline model to the same period shows that both models have similar skills at the interannual scale. Relation between the weather regimes and the wave climate in the Bay of Biscay is investigated and the primary weather regimes impacting shoreline change are identified. For instance, the winter zonal regime characterized by a strengthening of the pressure gradient between the Iceland low and the Azores high is associated with high-energy wave conditions and is found to drive an increase in the shoreline erosion rate. The study demonstrates the predictability of interannual shoreline change from a limited number of weather regimes, which opens new perspectives for shoreline change modeling and encourages long-term shoreline monitoring programs.

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“…Fortnightly or monthly shoreline measurements have been adopted in dedicated single-site studies (e.g., Harley et al, 2011;Lacey and Peck, 1998;Larson and Kraus, 1994;McLean, Shen, and Thom, 2010;Rozynski, 2005) but are less common in larger scale, regional shoreline monitoring programs. Daily surveys are recommended for accurate quantification of storm response (Clarke and Eliot, 1983) and changes in beach state (Wright, Short, and Green, 1985), although such intense on-ground monitoring programs maintained for more than a year or two are most commonly restricted to an individual point (e.g., Barnard, Hubbard, and Dugan, 2012) or a single cross-shore beach profile (e.g., Kuriyama, Banno, and Suzuki, 2012).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Opportunistic Shoreline Monitoring Capability Utilizing Existing “Surfcam” Infrastructure

Bracs¹,

Turner²,

Splinter³

et al. 2016

Journal of Coastal Research

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Bracs, M.A.; Turner, I.L.; Splinter, K.D.; Short, A.D.; Lane, C.; Davidson, M.A.; Goodwin, I.D.; Pritchard, T., and Cameron, D., 0000. Evaluation of opportunistic shoreline monitoring capability utilizing existing ''surfcam'' infrastructure. Journal of Coastal Research, 00(0), 000-000. Coconut Creek (Florida), ISSN 0749-0208.This paper investigates the opportunistic repurposing of existing low-elevation recreational surf cameras (''surfcams'') to provide quantitative shoreline position data. Shoreline data are of fundamental importance in coastal management; however, intensive effort is required to routinely sample this dynamic environmental parameter. Established (and generally research-oriented) coastal imaging systems provide shoreline data in higher temporal resolution across broader spatial scales than is achievable by traditional survey techniques. The key benefits of adopting surfcams for shoreline monitoring are the wide availability of existing stations and their relatively low cost. In addition to the known challenges of optical remote sensing, there are further constraints associated with the typically low elevations of surfcams (9 to 22 m in this study) and the common use of dynamic pan-tilt-zoom positioning. This study used surfcams at nine diverse sites along the SE Australian coastline. Surfcam-derived shorelines were evaluated against monthly real time kinematic global navigation satellite system (RTK-GNSS) surveys. Standard deviations (SDs) of error of 4 to 14 m (horizontal) were observed in data provided by the commercial surfcam operator. After consideration of image geometry, camera stability, shoreline visibility, and shoreline elevation, SDs of error within 1 to 4 m were achieved. At one site, daily surfcam-derived shorelines were evaluated against video-derived shorelines obtained by a state-of-the-art Argus coastal imaging system. Data provided by the surfcam operator had a SD of error of 6 m (horizontal) when compared to the Argus-derived shoreline dataset, and improved methodology reduced this to below 2 m. Generic methods for identifying and addressing issues resulting from surfcam movement and low viewing angle of the beach are presented, as well as data processing options and recommendations for the potential wider adoption of this largely untapped coastal monitoring resource.ADDITIONAL INDEX WORDS: Coastal imaging, beach monitoring, coastal management.

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Linkages among interannual variations of shoreline, wave and climate at Hasaki, Japan

Cited by 45 publications

References 26 publications

Regime shifts in the multi‐annual evolution of a sandy beach profile

Regime shifts in the multi‐annual evolution of a sandy beach profile

Statistical modeling of interannual shoreline change driven by North Atlantic climate variability spanning 2000–2014 in the Bay of Biscay

Evaluation of Opportunistic Shoreline Monitoring Capability Utilizing Existing “Surfcam” Infrastructure

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