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Relevant bibliographies by topics / Wave forecasting

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Academic literature on the topic 'Wave forecasting'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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Journal articles on the topic "Wave forecasting"

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Arthur, Robert S. "WAVE FORECASTING AND HINDCASTING." Coastal Engineering Proceedings 1, no. 1 (May 12, 2010): 8. http://dx.doi.org/10.9753/icce.v1.8.

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As a result of wartime research on ocean surface waves a method has been available since 1943 for the prediction of wave characteristics of interest to engineers (O'Brien and Johnson, 1947). The initial stimulus for the development came during the planning of the invasion of North Africa, and the methods subsequently devised were later used in a number of amphibious operations (Bates, 1949). The same techniques have found useful peacetime application in problems connected with coastal engineering. Much of the application to date has consisted in applying wave prediction techniques to historical rather than current meteorological data, hence the term "wave hindcasting."

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Bretschneider, C. L. "REVISED WAVE FORECASTING RELATIONSHIPS." Coastal Engineering Proceedings 1, no. 2 (January 1, 2000): 1. http://dx.doi.org/10.9753/icce.v2.1.

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Data on the generation and decay of wind-generated gravity waves have been collected for several years by the University of California. These data together with the original data by Sverdrup and Munk have been analyzed, and the results were presented in dimensionless graphs suitable for use in wave forecasting (Bretschneider, 1951). No analysis was made of the effect of following or opposing winds.

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Bretschneider, C. L. "REVISIONS IN WAVE FORECASTING: DEEP AND SHALLOW WATER." Coastal Engineering Proceedings 1, no. 6 (January 29, 2011): 3. http://dx.doi.org/10.9753/icce.v6.3.

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During the past six years since the latest revisions in wave forecasting (Bretschneider 1951) were made, much information has become available such that another revision is in order. An abundance of published (and unpublished) accounts of wave generation and decay in both deep and shallow water from various sources, as well as new ideas in the art of wave forecasting, are used in this revision. Deep water wave forecasting relationships, relationships for the generation of wind waves in shallow water of constant depth, and techniques for forecasting wind waves over the Continental Shelf are included in this paper. Forecasting hurricane waves is also discussed, from the engineering design point of view. The concept of significant wave is still retained as the most practical method in wave forecasting to date. The significant period has definite significance in that the wave energy is propagated forward at a speed approximately equal to the corresponding group velocity. The graphical approach (Wilson 1955) for moving fetches and variable wind vectors is discussed, and is the best approach for forecasting waves. Without Wilson’s graphical technique it is difficult for any two forecasters supplied with the same meteorological data to obtain the same degree of verification, or determine whether the forecaster or the forecasting relationships are in error. It is quite possible that by use of this technique further revisions in wave forecasting are possible. The problem of wave variability is discussed, and the distribution functions are given. A short summary of the wave spectra (Bretschneider 1958) used in connection with the revisions is also given. When the present forecasting relationships are applied to sections of the world, other than that from which the basic data were procured, it is recommended that atmospheric stability factors be taken into account. This essentially involves a slight modification or calibration of the forecasting relationships and techniques, prior to general use in the area of interest.

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Shutts, Glenn. "Operational lee wave forecasting." Meteorological Applications 4, no. 1 (March 1997): 23–35. http://dx.doi.org/10.1017/s1350482797000340.

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Chawla, Arun, Hendrik L. Tolman, Vera Gerald, Deanna Spindler, Todd Spindler, Jose-Henrique G. M. Alves, Degui Cao, Jeffrey L. Hanson, and Eve-Marie Devaliere. "A Multigrid Wave Forecasting Model: A New Paradigm in Operational Wave Forecasting." Weather and Forecasting 28, no. 4 (July 30, 2013): 1057–78. http://dx.doi.org/10.1175/waf-d-12-00007.1.

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Abstract A new operational wave forecasting system has been implemented at the National Centers for Environmental Prediction (NCEP) using the third public release of WAVEWATCH III. The new system uses a mosaic of grids with two-way nesting in a single model. This global system replaces a previous operational wave modeling suite (based on the second release of WAVEWATCH III). The new forecast system consists of nine grids at different resolutions to provide the National Weather Service (NWS) and NCEP centers with model guidance of suitable resolution for all areas where they have the responsibility of providing gridded forecast products. New features introduced in WAVEWATCH III, such as two-way nesting between grids and carving out selected areas of the computational domain, have allowed the operational model to increase spatial resolution and extend the global domain closer to the North Pole, while at the same time optimizing the computational cost. A spectral partitioning algorithm has been implemented to separate individual sea states from the overall spectrum, thus providing additional products for multiple sea states. Field output data are now packed in version 2 of the gridded binary (GRIB2) format and apart from the standard mean wave parameters, they also include parameters of partitioned wave spectra. The partitioning is currently limited to three fields: the wind-wave component, and primary and secondary swells. The modeling system has been validated against data using a multiyear hindcast database as well as archived forecasts. A new software tool developed by the U.S. Army Corps of Engineers (USACE) is used to extend the analysis from overall error estimates to separate skill scores for wind seas and swells.

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Simpson, Alexandra, Merrick Haller, David Walker, Patrick Lynett, and David Honegger. "Wave-by-Wave Forecasting via Assimilation of Marine Radar Data." Journal of Atmospheric and Oceanic Technology 37, no. 7 (July 1, 2020): 1269–88. http://dx.doi.org/10.1175/jtech-d-19-0127.1.

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AbstractThis work describes a phase-resolving wave-forecasting algorithm that is based on the assimilation of marine radar image time series. The algorithm is tested against synthetic data and field observations. The algorithm couples X-band marine radar observations with a phase-resolving wave model that uses the linear mild slope equations for reconstruction of water surface elevations over a large domain of O(km) and a prescribed time window of O(min). The reconstruction also enables wave-by-wave forecasting through forward propagation in space and time. Marine radar image time series provide the input wave observations through a previously given relationship between backscatter intensity and the radial component of the sea surface slope. The algorithm assimilates the wave slope information into the model via a best-fit wave source function at the boundary that minimizes the slope reconstruction error over an annular region at the outer ranges of the radar images. The wave model is then able to propagate the waves across a polar domain to a location of interest at nearer ranges. The constraints on the method for achieving real-time forecasting are identified, and the algorithm is verified against synthetic data and tested using field observations.

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Chen, Shien-Tsung. "Probabilistic forecasting of coastal wave height during typhoon warning period using machine learning methods." Journal of Hydroinformatics 21, no. 2 (February 4, 2019): 343–58. http://dx.doi.org/10.2166/hydro.2019.115.

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Abstract This study applied machine learning methods to perform the probabilistic forecasting of coastal wave height during the typhoon warning period. The probabilistic forecasts comprise a deterministic forecast and the probability distribution of a forecast error. A support vector machine was used to develop a real-time forecasting model for generating deterministic wave height forecasts. The forecast errors of deterministic forecasting were then used as a database to generate probabilistic forecasts by using the modified fuzzy inference model. The innovation of the modified fuzzy inference model includes calculating the similarity of the data by performing fuzzy implication and resampling the potential data from the fuzzy database for probability distribution. The probabilistic forecasting method was applied to the east coast of Taiwan, where typhoons frequently cause large waves. Hourly wave height data from an offshore buoy and various typhoon characteristics were used as inputs of the probabilistic forecasting model. Validation results from real typhoon events verified that the proposed probabilistic forecasting model can generate the predicted confidence interval, which can properly enclose the observed wave height data, excluding some cases with extreme wave heights. Moreover, an objective measure was used to validate the proposed probabilistic forecasting method.

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Janssen, Peter A. E. M., and Jean-Raymond Bidlot. "Progress in Operational Wave Forecasting." Procedia IUTAM 26 (2018): 14–29. http://dx.doi.org/10.1016/j.piutam.2018.03.003.

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Deo, M. C., A. Jha, A. S. Chaphekar, and K. Ravikant. "Neural networks for wave forecasting." Ocean Engineering 28, no. 7 (July 2001): 889–98. http://dx.doi.org/10.1016/s0029-8018(00)00027-5.

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Monastersky, Richard. "Tsunami forecasting: The next wave." Nature 483, no. 7388 (March 2012): 144–46. http://dx.doi.org/10.1038/483144a.

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Dissertations / Theses on the topic "Wave forecasting"

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Cohen, Jennifer Esther. "Theory of turbulent wind over fast and slow waves." Thesis, University of Cambridge, 1997. https://www.repository.cam.ac.uk/handle/1810/283717.

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Coşkun, Mustafa. "Atmospheric short wave - long wave trough interaction with associated surface cyclone development /." free to MU campus, to others for purchase, 2003. http://wwwlib.umi.com/cr/mo/fullcit?p3115537.

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Monk, Kieran. "Forecasting for control and environmental impacts of wave energy converters." Thesis, University of Plymouth, 2016. http://hdl.handle.net/10026.1/5292.

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This work is divided in to two distinct parts. In the first part a model is developed to assess the redistribution of wave energy about an offshore array of overtopping type wave energy converters. The model is based on a classical analytical solution for diffraction about a breakwater which is modified to consider an array of dissipating, reflecting and transmitting breakwater segments, which are used to approximate an overtopping type WEC array. The model is computationally efficient and phase resolving which allows the effect of wave scattering to be investigated for large domains with high resolution irregular wave distributions. It was found that the radial waves generated by the diffraction effect spreads and defocus wave energy away from the geometrical shadow of the array. This counteracts the rate of recovery of wave energy deficit from wave directional spreading. In the second part, short-term wave forecasting for pneumatic power regulation through relief valve control is investigated at the Pico oscillating water column power plant, located in the Azores. Operational data from the Pico OWC is used to develop and critically assess a number of univariate and multivariate short-term wave forecast modelling approaches. A number of relief valve control strategies, which utilise a short-term wave forecast, are also developed and assessed using a numerical time-domain wave to wire system model. A system model for the Pico OWC is developed and validated using operational data from the Pico plant. The absolute performance potential resulting from control utilising a perfect forecast is considered, in addition to the realistic potential where a forecast, realisable in real-time, is used to drive control actions. One of the proposed relief valve control strategies is within the mechanical limitations of the existing relief valve adjustment system at Pico and this strategy was deployed in real field tests. Field test results of the plant’s performance under this strategy closely matched the simulated performance and power enhancements of up to 29% were achieved in certain sea states and the expected annual power enhancement was projected to be around 10%. Simulations of the long term plant performance under the more advanced relief valve control strategies project far greater potential for enhanced power production although these could not be tested in the field due to the project limitations.

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Coughlin, Joseph D. "Forecasting the onset and intensity of vertically propagating mountain waves over the Alps." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Mar%5FCoughlin.pdf.

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Pallarès, López Elena. "High-resolution wave forecasting : the Catalan coast case : modelling, coupling and validation." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/397750.

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It is widely known that wind and wave predictions in the nearshore are less precise for semi enclosed domains than in the open ocean. The Catalan coast is a clear example of this situation, with a wave climate controlled by short fetches, complex bathymetry, high wind field variability in time and space, and sea and swell waves combined that generate bimodal spectra. These characteristics, typical for a semi-enclosed basin, limit the reliability of wave predictions in the area, with errors on the significant wave height around 10% and a clear under-prediction of the wave period with errors around 30%. The motivation of this work is to improve the actual wave forecasting abilities for the Catalan Coast using the SWAN v.4091 wave model. In order to achieve this goal, three working lines are considered: (1)adapting the model to the Catalan coast conditions, tuning the wave growth rates included in the model to better reproduce the observed values, (2) evaluate the effect of the currents and wind into the wave field by using a coupled system and (3) consider the use of unstructured grids as an alternative to the traditionally nested systems in order to obtain high resolution wave forecasts in coastal areas reducing the computational time and avoiding the use of internal boundary conditions with their associated errors. The results obtained support previous studies where the limited ability of the models to reproduce wave growth rates in young seas have been detected. The whitecapping term correction proposed in this document helps reducing under-prediction of the wave period observed with almost no effect on the significant wave height. This correction can be applied to similar environments. However, the proposed formulation is only suitable for the early stages of generation and should be discontinued after waves reach a certain maturity. Two coupling strategies are considered, a one-way coupling where current fields are directly introduced into the wave model, and a two-way coupling where the waves, currents and winds models run in parallel. The effects of the coupling are evaluated during calm periods but also during energetic events. The results show that during calm conditions the coupling does hardly improve the results while during energetic events, such as superficial currents intensifications or wind jet events, the coupling has greater importance. However, the two-way coupling has extremely high computational requirements, not always available. In this sense, the use of unstructured grids as an alternative to the traditional nested systems is presented. The main benefit of unstructured grids is that allows working with a single grid with different resolutions in each sub-domain, improving the resolution in coastal areas. Other advantage is the capacity to better reproduce the sharp coastline and the areas around the islands. The design of unstructured grids has been shown as one of the most delicate parts of this methodology, requiring special attention for the grid generation criteria. The validation of the results, performed with buoy measurements in the nearshore but also for the entire domain with altimetry measurements, allows stating that unstructured grids perform correctly in the study area. Finally, the proposed work suitability for an operational forecasting system has been considered. The whitecapping term modification is proven to be decisive in the quality of the wave forecast, while the coupling is not always recommended depending on computational capabilities. The use of unstructured grids with a regional triangular mesh covering the entire Western Mediterranean sea is considered as the first option, providing accurate high resolution wave conditions near the coast with a clear reduction of the computational time in comparison with a traditional nested system.
És sobradament conegut que les prediccions d'onatge i vent a prop de la costa són menys precises en regions semi tancades que en mar obert. La costa Catalana és un clar exemple d'aquesta situació, amb un clima d'onatge controlat per fetch curts, batimetries complexes, camps de vent fortament variables tant en el temps com en l'espai, i combinacions de mar de fons i de vent que generen espectres bimodals. Aquestes característiques, típiques de dominis semi tancats, limiten la precisió de les prediccions d'onatge, obtenint errors de l'alçada d’ona significant sobre el 10% i una clara subpredicció del període d'ona amb errors al voltant del 30%. La motivació d'aquesta treball és doncs millorar la capacitat de predicció d'onatge actual per la costa Catalana utilitzant el model d’onatge SWAN v.4091. Per tal d'assolir aquest objectiu, es consideren tres línies de treball: (1) adaptar el model a les condicions de la costa Catalana, calibrant les corbes de creixement d'onatge per que reprodueixin millor la realitat, (2) examinar l'efecte de les corrents i el vent sobre l'onatge utilitzant sistemes acoplats i (3)considerar l'ús de malles no estructurades com a alternativa a sistemes aniuats tradicionals per tal d'obtenir prediccions d'onatge d'alta resolució en zones costeres reduint el temps de càlcul i evitant les condicions de contorn i els errors associats. Els resultats obtinguts concorden amb estudis previs en els quals la incapacitat dels models per reproduir correctament les corbes de creixement de l'onatge havia estat ja detectada. La proposta de modificació del terme de whitecapping presentada en aquest document ajuda a reduir la subpredicció del període d’ona sense gairebé cap efecte en l'alçada d'ona. Aquesta correcció es aplicable a entorns similars. Tan mateix, la formulació proposada és només vàlida en els primers estats de generació d'onatge, i hauria de ser substituïda quan les ones adquireixen certa maduresa. Es consideren dues estratègies d'acoplament, un acoplament one-way en el que el camp de corrents s'introdueix directament en el mode d'onatge, i un acoplament two-way en el que models d'onatge, corrents i vent corrent paral·lelament. Els efectes de l'acoplament son avaluats durant períodes de calma i episodis més energètics. Els resultats obtinguts mostren que durant períodes de calma l'acoplament aporta ben poc, mentre que durant episodis energètics tals com intensificacions de corrents o vents canalitzats presenta més importància. Finalment cal tenir en compte que l'acoplament two-way presenta uns requeriments computacionals no sempre disponibles. En aquest sentit es proposa l’ús de malles no estructurades com alternativa al mètode tradicional de malles aniuades. El principal avantatge de les malles no estructurades es que permeten treballar amb una única malla que té diferents resolucions segons el subdomini, millorant així la resolució en zones costeres. Un altre avantatge es la capacitat de reproduir millor la línia de costa o les zones al voltant de illes. Una de les parts més delicades de tot el procés consisteix en el disseny de les malles, on s’ha de prestar especial atenció en els criteris considerats. La validació dels resultats, realitzada amb mesures de boies en zones costeres i dades de satèl·lit per mar obert, ens permeten afirmar que les malles no estructurades funcionen correctament a la zona d’estudi. Finalment, es considera l’adequació de les diferents propostes per a un sistema de predicció operacional. Queda demostrat que la modificació del terme de whitecapping millora decisivament la qualitat de les prediccions, mentre que l’acoplament es recomana en funció de la capacitat de càlcul disponible. L’ús de malles no estructurades per a tot el Mediterrani Occidental es considera com la primera opció, obtenint així onatge d’alta resolució en zones costaneres reduint considerablement el temps de càlcul en comparació amb el sistema aniuat tradicional.

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Alves, Jose Henrique Gomes de Mattos Mathematics UNSW. "A Saturation-Dependent Dissipation Source Function for Wind-Wave Modelling Applications." Awarded by:University of New South Wales. Mathematics, 2000. http://handle.unsw.edu.au/1959.4/17786.

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This study reports on a new formulation of the spectral dissipation source term Sds for wind-wave modelling applications. This new form of Sds features a nonlinear dependence on the local wave spectrum, expressed in terms of the azimuthally integrated saturation parameter B(k)=k^4 F(k). The basic form of this saturation-dependent Sds is based on a new framework for the onset of deep-water wave breaking due to the nonlinear modulation of wave groups. The new form of Sds is succesfully validated through numerical experiments that include exact nonlinear computations of fetch-limited wind-wave evolution and hindcasts of two-dimensional wave fields made with an operational wind-wave model. The newly-proposed form of Sds generates integral spectral parameters that agree more closely with observations when compared to other dissipation source terms used in state-of-the-art wind-wave models. It also provides more flexibility in controlling properties of the wave spectrum within the high wavenumber range. Tests using a variety of wind speeds, three commonly-used wind input source functions and two alternative full-development evolution limits further demonstrate the robustness and flexibility of the new saturation-dependent dissipation source term. Finally, improved wave hindcasts obtained with an implementation of the new form of Sds in a version of the WAM model demonstrate its potential usefulness in operational wind-wave forecasting applications.

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Alfredsson, Johan, and Lina Augustsson. "The Next Wave of the Suit-Era : A Forecasting Model of the Men’s Suit." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-12731.

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Background By the beginning of the 20th century, the men’s suit entered the menswear market as one the most important fashion garments everdevised. At the same time, fashion became mainly a female engagement, resulting in an under representation of men’s fashion through out the past decade. Relating to the textile and apparel industry, fashion forecasting has become an increasingly important business activity. But the nature of fashion forecasting and the historical neglecting of the men’s suit has created complications when performing this activity. Purpose The purpose of this thesis is to examine the men’s suit and its development from the given starting point in the 20th century until today, in order to derive a fashion forecasting model suggesting its development by 2029. Design/methodology/approach This thesis uses an abductive research approach and qualitative multi-methods to answer the research questions. The usage of an intermediate research project answers the first research question. The second research question is answered through the synthesis ofa literature study and semi-structured interviews. The third research question is answered through the derived forecasting model, accomplished through theory matching. Findings By carrying out a historical investigation of the men’s suit, and then applying this to the derived forecasting model, the men’s suit is expected to be found in both single- and double-breast styles. The suit will have classical features represented through the length, canvas structure, and shoulder construction. Originality/value This paper carries out a historical investigation of the men’s suit never been done before. It introduces an evaluation framework to categorise and classify the men’s suit, as well as a forecasting model followed by an actual fashion forecast.

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Liu, Jun. "Biomarker Detection at Risk Forecasting Level Using Metal-Enhanced Fluorescence Combined with Surface Acoustic Wave." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6534.

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In this paper, metal-enhanced fluorescence (MEF) technique is used to lower the detection limit of carcinoembryonic antigen (CEA) which is able to be utilized in forecasting the risk of having certain kinds of cancers, especially colon and rectal cancer. By incubating silver nanocubes (Ag NCs) on the surface of the chips, the detection limit goes down to below 1ng/mL of CEA. Also, when combining MEF with surface acoustic wave (SAW) devices, the incubation time between antigen and antibody will decrease significantly with the fluorescence signal keeping similar or higher level.

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Tshisaphungo, Mpho. "Validation of high frequency propagation prediction models over Africa." Thesis, Rhodes University, 2010. http://hdl.handle.net/10962/d1015239.

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The ionosphere is an important factor in high frequency (HF) radio propagation providing an opportunity to study ionospheric variability as well as the space weather conditions under which HF communication can take place. This thesis presents the validation of HF propagation conditions for the Ionospheric Communication Enhanced Profile Analysis and Circuit (ICEPAC) and Advanced Stand Alone Prediction System (ASAPS) models over Africa by comparing predictions with the measured data obtained from the International Beacon Project (IBP). Since these models were not developed using information on the African region, a more accurate HF propagation prediction tool is required. Two IBP transmitter stations are considered, Ruaraka, Kenya (1.24°S, 36.88°E) and Pretoria, South Africa (25.45°S, 28.10°E) with one beacon receiver station located in Hermanus, South Africa (34.27°S, 19.l2°E). The potential of these models in terms of HF propagation conditions is illustrated. An attempt to draw conclusions for future improvement of the models is also presented. Results show a low prediction accuracy for both ICEPAC and ASAPS models, although ICEPAC provided more accurate predictions for daily HF propagation conditions. This thesis suggests that the development of a new HF propagation prediction tool for the African region or the modification of one of the existing models to accommodate the African region, taking into account the importance of the African ionospheric region, should be considered as an option to ensure more accurate HF Propagation predictions over this region.

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Alomar, Domínguez Marta. "Improving wave forecasting in variable wind conditions : the effect of resolution and growth rate for the catalan coast." Doctoral thesis, Universitat Politècnica de Catalunya, 2012. http://hdl.handle.net/10803/111230.

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The main objective of this study is to improve wind wave forecasting in the NW Mediterranean Sea while focusing on the characteristic sharp gradients of the wind and wave conditions. This work was motivated by the limited accuracy of wave models in semi-enclosed-basins and orography-controlled wind conditions, especially during fetch-limited storm events. First, to reduce the commonly observed under-estimation of wave parameters, the mesoscale variability of wind and wave fields was characterized in time (1 h to 1 day) and in space (10 km to 100 km). Second, to better capture the typical sharp gradients, the grid size of the input wind fields was decreased during a characteristic storm event from 18 km to 4 km and the wind input frequency was increased from 6 h to 1 h. Third and last, the rate of wave growth in the numerical model was tuned in order to match the local rate of wave growth. The rate of non-dimensional growth in the region of study, which was calculated using measurements along the fetch, turned out to be faster than simulated using the default physical parameterizations and faster than reported in previous studies. Adjusting the wave growth rate in the model to the observations improved the estimated wave height about 18 % and the peak frequency about 4%. Decreasing the grid size of the numerical models from 12 km to 4 km improved the timing of the wave peaks but not the maximum values of the storm. Increasing the frequency of the wind input (from 6 h to 3 h) improved the estimation of the maximum wave height values (peaks) of the storm about 13%. Summarizing, the results of this work indicated that tackling wind and wave gradients in complex regions such as the study area it is posible to reduce the under-estimation of wave parameters and to improve wave forecasting.
L’objectiu principal d’aquest estudi és millorar les prediccions de l’onatge generat pel vent al Mediterrani Noroccidental enfocant-se en els forts gradients de vent i d’onatge característics de la zona. Aquest treball sorgeix de la falta d’exactitud dels models d’onatges en conques semi tancades i en condicions de vent controlades per l’orografia, especialment durant temporals d’onatge limitats pel ‘fetch’. En primer lloc, per tal reduir les sub-estimacions dels parametres de l’onatge, s’ha caracteritzat la variabilitat dels camps de vent i d’onatge tant en temps (entre 1 h i un 1 dia) com en espai (entre 10 i 100 km). En segon lloc, per tal de capturar els forts gradients típics de la zona en els models numèrics d’onatge, durant un temporal característic s’ha reduit el tamany de malla dels vents d’entrada al model de 18 km a 4 km i s’ha augmentat la freqüència d’entrada dels vents de 6 h a 1 h. En tercer i últim lloc, s’ha ajustat la tasa de creixement de l’onatge en els models numèrics d’acord amb la tasa de creixement obtinguda a partir d’observacions locals. La tasa de creixement a la zona d’estudi, que s’ha calculat utilitzant mesures al llag del fetch, ha resultat ser més rápida que la predita utilitzant les parametritzacions incorporades per defecte en els models, i més rápida que les tases obtingudes en experiments anteriors. El fet d’ajustar la tasa de creixement en el model d’onatge ha permès millorar un 18% l’alçada d’ona significant estimada i un 4 % la freqüència de pic de l’onatge. Reduir el tamany de malla dels vents d’entrada de 12 km a 4 km ha permès millorar l’estimació en el temps dels pics d’onatge, però no els valors màxims del temporal. En canvi, augmentar la freqüència dels vents d’entrada (de 6 h a 3 h) ha millorat un 13% l’estimació dels valors màxims d’alçada d’ona durant el temporal. En resum, els resultats d’aquest treball indiquen que abordant els gradients de vent i onatge en regions complexes és posible reduir la sub-estimació dels paràmetres de l’onatge i millorar-ne la seva predicció.
El objetivo principal de este estudio es mejorar las predicciones del oleaje generado por el viento en el Mediterráneo Noroccidental enfocando los fuertes gradientes de viento y oleaje característicos de la zona. Este trabajo surge de la falta de exactitud de los modelos de oleaje en cuencas semi-cerradas y en condiciones de viento controladas por la orografía, especialmente durante temporales de oleaje limitados por el ‘fetch’. En primer lugar, para reducir las sub-estimaciones de los parámetros del oleaje, se caracterizó la variabilidad de los campos de viento y oleaje tanto en tiempo (entre 1 h y un 1 día) como en espacio (entre 10 y 100 km). En segundo lugar, para capturar los fuertes gradientes típicos de la zona en los modelos numéricos de oleaje, para un temporal característico, se redujo el tamaño de malla de los vientos de entrada al modelo de 18 km a 4 km y se aumentó la frecuencia de entrada de los vientos de 6 h a 1 h. En tercer y último lugar, se ajustó la tasa de crecimiento del oleaje en los modelos numéricos de acuerdo a la tasa de crecimiento obtenida a partir de observaciones locales. La tasa de crecimiento en la zona de estudio, que se calculó usando medidas de viento y oleaje a lo largo del fetch, resultó ser más rápida que la predicha utilizando las parametrizaciones incorporadas por defecto en los modelos, i más rápida que les tases obtenidas en experimentos anteriores. El hecho de ajustar la tasa de crecimiento en el modelo de oleaje permitió mejorar un 18% la altura de ola significante estimada y un 4 % la frecuencia de pico del oleaje. Reducir el tamaño de malla de los vientos de entrada de 12 km a 4 km permitió mejorar la estimación en el tiempo de los picos de oleaje, pero no los valores máximos del temporal. En cambio, aumentar la frecuencia de los vientos de entrada (de 6 h a 3 h) ha mejorado un 13% la estimación de los valores máximos de altura de ola durante el temporal. En resumen, los resultados de este trabajo indican que abordando los gradientes de viento y oleaje en regiones complejas se reduce la subestimación de los parámetros del oleaje y se mejora su predicción.

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Books on the topic "Wave forecasting"

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Ride the wave. London: Financial Times/Prentice Hall, 2001.

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Organization, World Meteorological. Guide to wave analysis and forecasting. 2nd ed. Geneva: Secretariat of the World Meteorological Organization, 1988.

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Organization, World Meteorological. Guide to wave analysis and forecasting. Geneva, Switzerland: Secretariat of the World Meteorological Organization, 1988.

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Wave 4: Network marketing in the 21st century. Rocklin, CA: Prima, 1999.

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Lowe, Theresa J. A third population wave to affect the K through 12 system. [Olympia, Wash.]: Washington State Office of Financial Management, 2005.

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Abrahamse, Allan F. The coming wave of violence in California. Santa Monica, CA: RAND, 1997.

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Copsey, Ian. Harmonic Elliott Wave: The case for modification of R. N. Elliott's impulsive wave structure. Singapore: John Wiley & Sons (Asia) Pte. Ltd., 2011.

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Maynard, Herman Bryant. The fourth wave: Business in the 21st century. San Francisco: Berrett-Koehler, 1993.

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Trading with the Elliott Wave principle: A practical guide. Memphis, Tenn: Tape Readers Press, 1988.

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Canada Oil and Gas Lands Administration. Evaluation of wave forecasting models and forecast wind fields in the Canadian context. [Ottawa: Energy Mines and Resources], 1988.

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Book chapters on the topic "Wave forecasting"

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Matthews, Ann. "Forecasting the Residential Data-Wave." In Forecasting the Internet, 59–79. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0861-8_6.

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Gang, Wang, MA Xiao-wei, Jiang Tao, Gong Hong-ming, KONG Rong-zong, and YANG Yan-guang. "Forecasting Method of Shock-Standoff Distance for Forward-Facing Cavity." In Shock Wave Interactions, 95–106. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73180-3_7.

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Wan, Qin, Yong Wei, and Xiongqiong Yang. "Research on Grey Wave Forecasting Model." In Understanding Complex Systems, 349–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13938-3_30.

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Sipos, Béla. "Empirical Research and Forecasting Based on Hungarian and World Economic Data Series." In The Long-Wave Debate, 119–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-662-10351-7_10.

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Crampin, Stuart. "Shear-Wave Splitting: New Geophysics and Earthquake Stress-Forecasting." In Encyclopedia of Solid Earth Geophysics, 1355–65. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-8702-7_19.

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Crampin, Stuart. "Shear-Wave Splitting: New Geophysics and Earthquake Stress-Forecasting." In Encyclopedia of Solid Earth Geophysics, 1–11. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-10475-7_19-1.

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Crampin, Stuart. "Shear-Wave Splitting: New Geophysics and Earthquake Stress-Forecasting." In Encyclopedia of Solid Earth Geophysics, 1687–97. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58631-7_19.

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Loktev, Fedor, Alexandra Kuznetsova, Georgy Baydakov, and Yulia Troitskaya. "Development of Methods for Wind Speed and Wave Parameters Forecasting in Inland Waters." In Processes in GeoMedia - Volume II, 15–20. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-53521-6_4.

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Li, Xingyuan, Qifeng Tang, and Shaojun Ning. "Index Frequency-Based Contour Selection of Gray Wave Forecasting Model and Its Application in Shanghai Stock Market." In Smart Service Systems, Operations Management, and Analytics, 283–91. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30967-1_26.

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Komen, Gerbrand J. "Forecasting Wind-driven Ocean Waves." In Ocean Forecasting, 267–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-22648-3_14.

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Conference papers on the topic "Wave forecasting"

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Tuomi, L., and J. V. Bjorkqvist. "Wave forecasting in coastal archipelagos." In 2014 IEEE/OES Baltic International Symposium (BALTIC). IEEE, 2014. http://dx.doi.org/10.1109/baltic.2014.6887855.

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Yang-Ming Fan, Shunqi Pan, Jia-Ming Chen, and Chia Chuen Kao. "Ensemble wave forecasting over typhoon period." In 2013 MTS/IEEE OCEANS. IEEE, 2013. http://dx.doi.org/10.1109/oceans-bergen.2013.6608029.

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Qin, Wan, Wei Yong, and Yang Xiongqiong. "Research on grey wave forecasting model." In 2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009). IEEE, 2009. http://dx.doi.org/10.1109/gsis.2009.5408288.

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Cavaleri, Luigi, and Luciana Bertotti. "The Mediterranean Sea Wave Forecasting System." In 23rd International Conference on Coastal Engineering. New York, NY: American Society of Civil Engineers, 1993. http://dx.doi.org/10.1061/9780872629332.009.

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Levy, M. F. "Hybrid models for operational EM forecasting with EEMS." In IEE Colloquium on Common Modelling Techniques for Electromagnetic Wave and Acoustic Wave Propagation. IEE, 1996. http://dx.doi.org/10.1049/ic:19960352.

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Naaijen, Peter, and Rene´ Huijsmans. "Real Time Wave Forecasting for Real Time Ship Motion Predictions." In ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57804.

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This paper presents results of a validation study into a linear short term wave and ship motion prediction model for long crested waves. Model experiments have been carried out during which wave elevations were measured at various distances down stream of the wave maker simultaneously. Comparison between predicted and measured wave elevation are presented for 6 different wave conditions. The theoretical relation between spectral content of an irregular long crested wave system and optimal prediction distance for a desired prediction time is explained and validated. It appears that predictions can be extended further into the future than expected based on this theoretical relation.

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Stefanakos, Christos N., Orestis Schinas, and Grim Eidnes. "Application of Fuzzy Time Series Techniques in Wind and Wave Data Forecasting." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-24612.

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This work explores the applicability of widely known fuzzy time series forecasting techniques for the prediction of wind and wave data. These techniques have extensively been used with great success to the forecasting of stock prices. In the present work, long-term time series of wind speed, significant wave height, and peak period are examined and used for the verification of the forecasting performance of the fuzzy models. To examine the forecasting accuracy, the root mean squared error (RMSE) is used as an evaluation criterion to compare the forecasting performance of the listing models. As the importance of quality of wind and wave data increases, effective forecasting could further benefit designers of offshore structures and environmental researchers.

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Singhal, Gaurav, and Vijay Panchang. "Wave forecasting in Prince William Sound (Alaska)." In OCEANS 2008. IEEE, 2008. http://dx.doi.org/10.1109/oceans.2008.5152004.

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De Masi, Giulia, Floriano Gianfelici, and Yo Poh Foo. "Optimization of operative wave forecasting by artificial intelligence." In 2013 MTS/IEEE OCEANS. IEEE, 2013. http://dx.doi.org/10.1109/oceans-bergen.2013.6608131.

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Pushpam P., Martina Maria, and Felix Enigo V.S. "Forecasting Significant Wave Height using RNN-LSTM Models." In 2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2020. http://dx.doi.org/10.1109/iciccs48265.2020.9121040.

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Reports on the topic "Wave forecasting"

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Simpson, Alexandra, Merrick Haller, David Walker, and Pat Lynett. Assimilation of Wave Imaging Radar Observations for Real-time Wave-by-Wave Forecasting. Office of Scientific and Technical Information (OSTI), August 2017. http://dx.doi.org/10.2172/1377063.

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Flatau, Piotr J. Experimental Validation of the Navy Air-Sea-Wave Coupled Forecasting Models. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada574107.

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Mettlach, Theodore R., Eileen P. Kennelly, and Douglas A. May. Surf Forecasting Using Directional Wave Spectra with the Navy Standard Surf Model. Fort Belvoir, VA: Defense Technical Information Center, September 1996. http://dx.doi.org/10.21236/ada316031.

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Sheremet, Alexandru, Gregory W. Stone, and James M. Kaihatu. Wave Forecasting in Muddy Coastal Environments: Model Development Based on Real-Time Observations. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada627316.

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Graber, Hans C., Mark A. Donelan, Michael G. Brown, Donald N. Slinn, Scott C. Hagen, Donald R. Thompson, Robert E. Jensen, et al. Real-Time Forecasting System of Winds, Waves and Surge in Tropical Cyclones. Fort Belvoir, VA: Defense Technical Information Center, January 2003. http://dx.doi.org/10.21236/ada491421.

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Graber, Hans C., Mark A. Donelan, Michael G. Brown, Donald N. Slinn, Scott C. Hagen, Donald R. Thompson, Robert E. Jensen, Peter G. Black, Mark D. Powell, and John L. Guiney. Real-Time Forecasting System of Winds, Waves and Surge in Tropical Cyclones. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada483312.

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Graber, Hans C., Mark A. Donelan, Michael G. Brown, Donald N. Slinn, Scott C. Hagen, Donald R. Thompson, Robert E. Jensen, Peter G. Black, Mark D. Powell, and John L. Guiney. Real-Time Forecasting System of Winds, Waves and Surge in Tropical Cyclones. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada573387.

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Graber, Hans C., Mark A. Donelan, Michael G. Brown, Donald N. Slinn, Scott C. Hagen, Donald R. Thompson, Robert E. Jensen, Peter G. Black, Mark D. Powell, and John L. Guiney. Real-Time Forecasting System of Winds, Waves and Surge in Tropical Cyclones. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada627024.

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Graber, Hans C., Mark A. Donelan, Michael G. Brown, Donald N. Slinn, Scott C. Hagen, Donald R. Thompson, Robert E. Jensen, et al. Real-Time Forecasting System of Winds, Waves and Surge in Tropical Cyclones. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada475368.

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