The Ages of Large Amplitude Coastal Seiches on the Caribbean Coast of Puerto Rico

Huang, Norden E.; Shih, H. H.; Shen, Zheng; Long, Steven; Fan, Kuang-Lung

doi:10.1175/1520-0485(2000)030<2001:taolac>2.0.co;2

Cited by 33 publications

(8 citation statements)

References 19 publications

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“… Huang et al [2000] used HHT to study seiches on the coast of Puerto Rico. Traditionally, these waves were thought to be generated thousands of miles away, but using dispersive properties, Huang et al [2000] proved that the seiches were, in fact, generated locally on the continental shelf. Lai and Huang [2005] and Zheng et al [2006] also studied the inertia waves generated by passing hurricanes.…”

Section: New Findings Facilitated By Hht In Geosciencesmentioning

confidence: 99%

A review on Hilbert‐Huang transform: Method and its applications to geophysical studies

Huang

2008

Reviews of Geophysics

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1,551

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[1] Data analysis has been one of the core activities in scientific research, but limited by the availability of analysis methods in the past, data analysis was often relegated to data processing. To accommodate the variety of data generated by nonlinear and nonstationary processes in nature, the analysis method would have to be adaptive. Hilbert-Huang transform, consisting of empirical mode decomposition and Hilbert spectral analysis, is a newly developed adaptive data analysis method, which has been used extensively in geophysical research. In this review, we will briefly introduce the method, list some recent developments, demonstrate the usefulness of the method, summarize some applications in various geophysical research areas, and finally, discuss the outstanding open problems. We hope this review will serve as an introduction of the method for those new to the concepts, as well as a summary of the present frontiers of its applications for experienced research scientists.

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Section: New Findings Facilitated By Hht In Geosciencesmentioning

confidence: 99%

A review on Hilbert‐Huang transform: Method and its applications to geophysical studies

Huang

2008

Reviews of Geophysics

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1,551

1,040

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“…Copepods Oxygen (Moore et al 2009;Huang and Schmitt 2014) Phytoplankton (Derot et al 2015) River flow (Huang et al 2009) Water level (Huang et al 2000;Ezer et al 2013) Jal on-Rojas et al…”

Section: River Flow (Knowles 2002) Empirical Mode Decomposition (Emd)mentioning

confidence: 99%

Evaluation of spectral methods for high-frequency multiannual time series in coastal transitional waters: advantages of combined analyses

Jalón‐Rojas

Schmidt

Sottolichio

2016

Limnol. Oceanogr. Methods

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High-frequency monitoring is currently a major component in the management and research of the coastal system responses to ongoing global changes. This monitoring is essential in tidal systems to address the multiscale variability of physico-chemical parameters. The analysis of the resulting multiscale, nonlinear, non-stationary and noisy time series requires adequate techniques; however, to date, there are no standardized methods. Spectral methods might be useful tools to reveal the main variability time scales, and thus their associated forcings. The most widely used methods in coastal systems are Lomb-Scargle Periodogram (LSP), Singular Spectral Analysis (SSA), Continuous Wavelet Transform (CWT), and Empirical Mode Decomposition (EMD), but their relevance for high-frequency, long-term records is still largely unexplored. In this article, these spectral methods are tested and compared using a high-frequency 10-yr turbidity dataset in the Gironde estuary. Advantages and limitations of each method are evaluated on the basis of five criteria: (1) efficiency for incomplete time series, (2) appropriateness for time-varying analysis, (3) ability to recognize processes without complementary environmental variables, (4) capacity to calculate the relative importance of forcings, and (5) capacity to identify long-term trends. SSA is the only analysis method to satisfy all the criteria, even with 70% missing data. Combining methods is also a promising strategy; i.e., SSA 1 LSP for better recognition of processes; CWT 1 SSA and EMD 1 CWT for short-term (seasonal) and long-term (>1 yr) analysis, respectively. The purpose of this methodological framework is to serve as a reference for future postprocessing of data from monitoring programs in coastal waters.

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“…[, ] for analyses of nonlinear and non‐stationary time series. Several detailed descriptions of HHT already exist [ Huang et al ., , , ; Huang and Wu , ], but the theory of this method is reviewed briefly here. The HHT method involves two steps.…”

Section: Data Processing Hilbert‐huang Transform and Definition Of Lljmentioning

confidence: 99%

Comparison of low‐level jets along the north coast of China in summer

Wei

Zhang

2014

JGR Atmospheres

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A data set obtained from wind-profile radars located along the north coast of China in summer was used to compare the characteristics of the low-level jets (LLJs) at two different sites, Tianjin and Shanghai. In this paper, the characteristics and evolutions of the low-level jets were investigated, and the inertial oscillations were analyzed by the Hilbert-Huang transform technique. The results showed that LLJs (≤14 m s À1 ) dominate at both Tianjin and Shanghai, with percentages of 76.5% and 84.8%, respectively. In terms of LLJ strength and frequency of appearance, evident diurnal changes were detected at the two sites, and nocturnal LLJs overwhelmed daytime LLJs in both strength and frequency. Influenced by the local topography and synoptic forcing, the LLJs were characterized by totally different distributions of wind directions and heights. The preferred direction at Shanghai was from the southwest and east, whereas northeast and south directions dominated at Tianjin. In the matter of jet heights, LLJs at Shanghai tended to occur at more consistent levels (56.3% of observed LLJs below 600 m) than at Tianjin. The LLJ wind speed shear at Shanghai was also stronger than that at Tianjin. The Hilbert-Huang transform technique was applied to reveal the intrinsic mode functions with cycles of local inertial oscillation (19 h for Tianjin and 23 h for Shanghai), and the patterns of inertial oscillation power agreed with the time-height distribution of the observed LLJs.

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The Ages of Large Amplitude Coastal Seiches on the Caribbean Coast of Puerto Rico

Cited by 33 publications

References 19 publications

A review on Hilbert‐Huang transform: Method and its applications to geophysical studies

A review on Hilbert‐Huang transform: Method and its applications to geophysical studies

Evaluation of spectral methods for high-frequency multiannual time series in coastal transitional waters: advantages of combined analyses

Comparison of low‐level jets along the north coast of China in summer

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