A direct scaling analysis for the sea level rise

Tomasicchio, Giuseppe Roberto; Lusito, L.; D’Alessandro, Felice; Frega, Ferdinando; Francone, Antonio; Bartolo, Samuele De

doi:10.1007/s00477-018-1568-3

Cited by 17 publications

(9 citation statements)

References 54 publications

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“…These countries host a permanent tide gauge facility which records the observations on sea levels and tides. Tide gauges are fitted with sensors which record the height of the surrounding water level [31,32]. The design has been improved over the years to protect sensitive electronics, transmitting devices, backup power and storage components.…”

Section: Methodsmentioning

confidence: 99%

Assessment and Prediction of Sea Level Trend in the South Pacific Region

et al. 2022

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Sea level rise is an important and topical issue in the South Pacific region and needs an urgent assessment of trends for informed decision making. This paper presents mean sea level trend assessment using harmonic analysis and a hybrid deep learning (DL) model based on the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) technique, Convolutional Neural Network (CNN), Gated Recurrent Unit (GRU) and Neighbourhood Component Analysis (NCA) to build a highly accurate sea level forecasting model for three small islands (Fiji, Marshall Island and Papua New Guinea (PNG)) in the South Pacific. For a 20-year period, the estimated mean sea level rise per year from the harmonic computation is obtained: 112 mm for PNG, 98 mm for Marshall Island and 52 mm for Fiji. The DL procedure uses climate and environment-based remote sensing satellite (MODIS, GLDAS-2.0, MODIS TERRA, MERRA-2) predictor variables with tide gauge base mean sea level (MSL) data for model training and development for forecasting. The developed CEEMDAN-CNN-GRU as the objective model is benchmarked by comparison to the hybrid model without data decomposition, CNN-GRU and standalone models, Decision Trees (DT) and Support Vector Regression (SVR). All model performances are evaluated using reliable statistical metrics. The CEEMDAN-CNN-GRU shows superior accuracy when compared with other standalone and hybrid models. It shows an accuracy of >96% for correlation coefficient and an error of <1% for all study sites.

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Section: Methodsmentioning

confidence: 99%

Assessment and Prediction of Sea Level Trend in the South Pacific Region

et al. 2022

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“…Our approach is based on a direct scaling since analyses do not fit any specific model of

. This empirical approach is well-known in literature, see for example [ 52 ] and in other contexts as to estimate the rate of sea level rise at some selected tide gauges around the world [ 53 ], in porous media [ 54 , 55 ], and in the framework of fluid mechanics [ 56 , 57 ].…”

Section: Methodsmentioning

confidence: 99%

Direct Scaling of Measure on Vortex Shedding through a Flapping Flag Device in the Open Channel around a Cylinder at Re∼103: Taylor’s Law Approach

Bartolo

Vittorio

Francone

et al. 2021

Sensors

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The problem of vortex shedding, which occurs when an obstacle is placed in a regular flow, is governed by Reynolds and Strouhal numbers, known by dimensional analysis. The present work aims to propose a thin films-based device, consisting of an elastic piezoelectric flapping flag clamped at one end, in order to determine the frequency of vortex shedding downstream an obstacle for a flow field at Reynolds number Re∼103 in the open channel. For these values, Strouhal number obtained in such way is in accordance with the results known in literature. Moreover, the development of the voltage over time, generated by the flapping flag under the load due to flow field, shows a highly fluctuating behavior and satisfies Taylor’s law, observed in several complex systems. This provided useful information about the flow field through the constitutive law of the device.

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“…Our approach is based on a direct scaling since analyses do not fit any specific model of v(t). This empirical approach is well-known in literature, see for example [52] and in other contexts as to estimate the rate of sea level rise at some selected tide gauges around the world [53], in porous media [54,55], and in the framework of fluid mechanics [56,57].…”

Section: Direct Scaling Analysis On the Voltage Fluctuations: Taylor's Law Approachmentioning

confidence: 99%

Scaling of Measure Fluctuations on a Flapping Flag Device in the Open Channel Around a Cylinder At $Re=10^4$ : Taylor's Law Approach

Bartolo¹,

Vittorio²,

Francone³

et al. 2021

Preprint

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Experimental evidence showed how various complex systems, characterized by a fluctuation scaling, satisfy the well-known Taylor's law. The present work aims to apply for the first time Taylor's law, given its general treatment, for a flow field at $Re$ around $10^4$, since activity of each fluid particle is highly fluctuating, especially in the context of vortex shedding. In addition, the further element of innovation is the use of an innovative thin-films based device consisting of an elastic piezoelectric flapping flag that is proposed as a measuring instrument of the flow field. The oscillations of the flapping flag, due to the vortexes release downstream to an obstacle of cylindrical shape, generate an alternating piezoelectric voltage whose time history is similar to the chaotic components of the fully developed turbulent speed. Preliminary experimental results about the use of thin-films based device in a flume channel are reported together with a second order analysis on the voltage difference and a scaling law of the exponent scale.

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A direct scaling analysis for the sea level rise

Cited by 17 publications

References 54 publications

Assessment and Prediction of Sea Level Trend in the South Pacific Region

Assessment and Prediction of Sea Level Trend in the South Pacific Region

Direct Scaling of Measure on Vortex Shedding through a Flapping Flag Device in the Open Channel around a Cylinder at Re∼103: Taylor’s Law Approach

Scaling of Measure Fluctuations on a Flapping Flag Device in the Open Channel Around a Cylinder At $Re=10^4$ : Taylor's Law Approach

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