Significant wave height record extension by neural networks and reanalysis wind data

Peres, David J.; Iuppa, Claudio; Cavallaro, Luca; Cancelliere, Antonino; Foti, Enrico

doi:10.1016/j.ocemod.2015.08.002

Cited by 62 publications

(41 citation statements)

References 75 publications

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“…Various reanalysis projects were developed overtime, of which we might mention Reanalysis I, maintained by the National Centers for Environmental Prediction/National Center for Atmospheric Research, or the JRA-55 project developed by the Japanese Meteorological Society. Another major project is ERA40 (covering 45 years of data: September 1979-August 2002), maintained by the ECMWF, which was replaced by the ERA-Interim project (started in 1989) that is used in the current work to assess wave conditions from the Black Sea [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

A Long-Term Assessment of the Black Sea Wave Climate

Onea

Rusu

2017

Sustainability

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Abstract:In the present work the Black Sea wave climate is assessed using a total of 38 years of data . As a first step, the long-term variations of the main wave parameters were evaluated using data provided by the European Center for Medium-Range Weather Forecasts (ECMWF). Based on these values, the nearshore and offshore conditions from the Black Sea were evaluated. Moreover, the Sea of Azov was also targeted in this study, since in some cases the conditions are comparable with those of the Black Sea. Going up to the present day, the regional wave climate was assessed through satellite measurements provided by the AVISO project, at the same time indicating the differences between these data and the ECMWF reanalysis dataset. In general, the conditions reported in the northwestern sector of the Black Sea seem to be more energetic, indicating more frequently the presence of rough conditions. Finally, it can be concluded that the results presented in the present study cover a broad range of applications in climatological studies and other types of research related to coastal protection.

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Section: Introductionmentioning

confidence: 99%

A Long-Term Assessment of the Black Sea Wave Climate

Onea

Rusu

2017

Sustainability

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“…This interest is motivated by the various advantages that characterize such a source [3]: the high energy density, greater than that of solar and wind; the easy prediction of the wave characteristics through numerical models [4,5]; the reduced energy loss during wave propagation in relative water depth. However, these benefits are offset by the following drawbacks: the high variability of the wave characteristic through time [6]; WECs are exposed to large environmental forces; high production costs compared to other devices as photovoltaic and wind turbines [7].…”

Section: Introductionmentioning

confidence: 99%

Hydraulic Performance of an Innovative Breakwater for Overtopping Wave Energy Conversion

Iuppa

Contestabile²,

Cavallaro

et al. 2016

Sustainability

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Abstract:The Overtopping BReakwaterfor Energy Conversion (OBREC) is an overtopping wave energy converter, totally embedded in traditional rubble mound breakwaters. The device consists of a reinforced concrete front reservoir designed with the aim of capturing the wave overtopping in order to produce electricity. The energy is extracted through low head turbines, using the difference between the water levels in the reservoir and the sea water level. This paper analyzes the OBREC hydraulic performances based on physical 2D model tests carried out at Aalborg University (DK). The analysis of the results has led to an improvement in the overall knowledge of the device behavior, completing the main observations from the complementary tests campaign carried out in 2012 in the same wave flume. New prediction formula are presented for wave reflection, the overtopping rate inside the front reservoir and at the rear side of the structure. Such methods have been used to design the first OBREC prototype breakwater in operation since January 2016 at Naples Harbor (Italy).

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“…However, in cases where a dataset exhibits a data bias towards one class, the F-score test statistic is more representative than the accuracy of a classifier. It is used to analyze whether a classifier is able to achieve both high precision and high recall simultaneously (for details on precision, recall, F-score, ROC curves, etc., see (Peres, 2015;Rijsbergen, 1979)). The values for precision and recall were calculated to gauge the goodness of the classifier.…”

Section: Accuracy Of Algorithms Used To Classify Proxima Bmentioning

confidence: 99%

Theoretical validation of potential habitability via analytical and boosted tree methods: An optimistic study on recently discovered exoplanets

Saha

Basak

Safonova³

et al. 2018

Astronomy and Computing

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Seven Earth-sized planets, known as the TRAPPIST-1 system was discovered with great fanfare in the last week of February 2017. Three of these planets are in the habitable zone of their star, making them potentially habitable planets a mere 40 light years away. Discovery of the closest potentially habitable planet to us just a year before -Proxima b and a realization that Earth-type planets in circumstellar habitable zones are a common occurrence provides the impetus to the existing pursuit for life outside the Solar System. The search for life has two goals essentially: Earth similarity and habitability. An index was recently proposed, Cobb-Douglas Habitability Score (CDHS), based on Cobb-Douglas habitability production function, which computes the habitability score by using measured and estimated planetary parameters like radius, density, escape velocity and surface temperature of a planet. The proposed metric, with exponents accounting for metric elasticity, is endowed with analytical properties that ensure global optima and can be scaled to accommodate a finite number of input parameters. We show here that the model is elastic, and the conditions on elasticity to ensure global maxima can scale as the number of predictor parameters increase. K-Nearest Neighbor classification algorithm, embellished with probabilistic herding and thresholding restriction, utilizes CDHS scores and labels exoplanets to appropriate classes via feature-learning methods. The algorithm works on top of a decision-theoretical model using the power of convex optimization and machine learning. The goal is to classify the recently discovered exoplanets into the "Earth League" and other classes. A second approach, based on a novel feature-learning and tree-building method classifies the same planets without computing the CDHS of the planets and produces a similar outcome. The convergence of the two different approaches indicates the strength of the proposed scheme and the likelihood of the potential habitability of the recent discoveries. 2016). This planet generated a lot of stir in the news (Witze, 2016) because it is located in the habitable zone and its mass is in the Earth's mass range: 1.27 − 3 M ⊕ , making it a potentially habitable planet (PHP) and an immediate destination for the Breakthrough Starshot initiative (Starshot, 2016). A few months after the announcement of Proxima b, another family of terrestrial-size exoplanets -the TRAPPIST-1 systemwas discovered (Gillon, 2016).This work is motivated by testing the efficacy of the suggested model, CDHS, in determining the habitability score, the proximity to the "Earth-League", of the recently discovered Proxima b. The habitability score model has been found to work well in classifying previously known exoplanets in terms of potential habitability. Therefore it was natural to test whether the model can also classify it as potentially habitable by computing its habitability score. This could indicate whether the model may be extended for a quick check of the potential habitability of n...

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Significant wave height record extension by neural networks and reanalysis wind data

Cited by 62 publications

References 75 publications

A Long-Term Assessment of the Black Sea Wave Climate

A Long-Term Assessment of the Black Sea Wave Climate

Hydraulic Performance of an Innovative Breakwater for Overtopping Wave Energy Conversion

Theoretical validation of potential habitability via analytical and boosted tree methods: An optimistic study on recently discovered exoplanets

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