Time series analysis on marine wind-wave characteristics using chaos theory

Zounemat‐Kermani, Mohammad; Kisi, Özgür

doi:10.1016/j.oceaneng.2015.03.013

Cited by 39 publications

(16 citation statements)

References 32 publications

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“…Compared with MED of Dhanya et al, [21], Dhanya et al, [22], Sivakumar et al, [23] and Jayawardena et al, [65], our research has a very high value, which is between 11 and 33. Compared with Mohammad et al, [77], the MED and MLE is both larger. The MLE is between 0.037 and 0.144, while MLE of Mohammad is only between 6 × 10 −5 and 4 × 10 −4 .…”

Section: Vertification Of Chaotic Characteristics For Daily Precipitacontrasting

confidence: 58%

Spatiotemporal Variations of Extreme Precipitation and Study on Chaotic Characteristics in the Xijiang River Basin, China

Ding

Liao

Wang

et al. 2019

Water

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Climate change leads to the increase of frequency and intensity for extreme precipitation events, potentially threatening the development of our society. It is of great significance to study the spatiotemporal variation of precipitation for understanding cycle process of water and its response to global warming. This paper selects the Xijiang River basin, which locates on a low latitude and coastland, as the research area. The spatiotemporal distribution and homogeneity of precipitation are analyzed, and the spatial trend is studied using 12 extreme precipitation indices. Finally, chaotic characteristics are evaluated for daily precipitation. The results showed that the precipitation in the basin tended to be unevenly distributed. On wet days, precipitation in the middle and the west was more and more uniform. The proportion of tiny rain was the largest, between 33.5% and 41.3%. The proportion of violent rain was the smallest, between 0.1% and 4.7%. Duan had the highest frequency for violent rain, and the probability of disasters caused by extreme precipitation near the station was the highest. The simple daily intensity index (SDII) showed a significant increase in the middle and the northeast. PRCPTOT (annual total wet-day precipitation) showed a decreasing trend in the northwest. The average rates of variation for R95PTOT (precipitation on very wet days) and R99PTOT (precipitation on extremely wet days) were −0.01 mm/year and 0.06 mm/year, respectively. There might be a risk of drought on the west of the basin in the future. Precipitation in other locations was still relatively abundant. Daily precipitation showed high dimension and high chaotic characteristics. The MED (minimum embedding dimension) was between 11 and 30, and the MLE (largest Lyapunov exponent) was between 0.037 and 0.144.

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Section: Vertification Of Chaotic Characteristics For Daily Precipitacontrasting

confidence: 58%

Spatiotemporal Variations of Extreme Precipitation and Study on Chaotic Characteristics in the Xijiang River Basin, China

Ding

Liao

Wang

et al. 2019

Water

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“…Few studies have looked at the wave properties in the Caspian using artificial neural network methods, statistical analysis and chaos theory for a set of wave gauges (Zamani et al, 2009;Zamani and Badri, 2015;Zounemat-Kermani and Kisi, 2015). Golshani et al (2007) produced a wave climate atlas and an extreme value analysis for the Caspian Sea with a main focus on the SCS based on eleven years of wave simulation; as highlighted in Figure 11 of Zounemat-Kermani and Kisi (2015), severe wave events can occur.…”

Section: Introductionmentioning

confidence: 99%

A fully-coupled atmosphere-ocean-wave model of the Caspian Sea

Bruneau

Toumi

2016

Ocean Modelling

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Located in the mid-latitudes, the Caspian Sea is the largest enclosed basin in the world. A fully-coupled atmosphere-ocean-wave model of the Caspian Sea at high resolution (8km) for a period of three years is presented. After validating each component of the modelling platform, the wave state of the Caspian Sea is studied. Results show very different wave regimes between the three different basins, a strong seasonality and an almost swell-free state.It is shown here that waves modify the horizontal eddy viscosity and vertical heat diffusion. However, due to a reasonably weak annual wave state, these effects are restricted to the upper-ocean layer (< 30 m) except during the most severe events (100 m).

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“…This includes, but is not limited to, calculations of wave loads on coastal structures; calculations of sediments and pollutants transports in coastal areas, real time swell forecasting, safety of maritime transportation, fishing industry, validation of wave prediction models [5][6][7][8][9].Surface waves have very complex natures and are highly irregular with respect to their height, direction, amplitude and period [10]. The direct measurements of these parameters are now carried out either by directional or non-directional instruments such as wave buoys or bottom-mounted acoustic Doppler transceivers.…”

Section: Introductionmentioning

confidence: 99%