The Impact of Wave Model Source Terms and Coupling Strategies to Rapidly Developing Waves Across the North-West European Shelf During Extreme Events
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Abbreviations
Abbreviations A1B One of the IPCC SRES scenarios AIS Asociación Colombiana de Ingeniería ABM anti-ballistic missile Sísmica [Colombian Association for AA Auswärtiges Amt [Federal Ministry for Earthquake Engineering] Foreign Affairs, Germany] AKOM Afet Koordinasyon Merkezi [Istanbul ACOTA African Contingency Operations Training Metropolitan Municipality Disaster Assistance Coordination Centre] ACRS Arms Control and Regional Security AKP Adalet ve Kalkinma Partisi [Justice and ACSAD Arab Center for the Studies of Arid Zones Development Party] and Dry Lands AKUF AG Kriegsursachenforschung [Study Group ACSYS Arctic Climate System Study on the Causes of War] (at Hamburg ACUNU American Council for the United Nations University) University AL Arab League AD anno domini [after Christ] AMMA African Monsoon Multidisciplinary Analysis ADAM Adaptation and Mitigation Strategies: Project Supporting European Climate Policy (EU AMU Arab Maghreb Union funded project) An. 1 Annex 1 countries (under UNFCCC) ADB Asian Development Bank An. B Annex B countries (under Kyoto Protocol) ADRC Asian Disaster Reduction Centre ANAP Anavatan Partisi [Motherland Party] AESI Asociación Española de Ingeniría Sísmica ANU Australian National University [Association for Earthquake Engineering of AOSIS Alliance of Small Island States Spain] AP3A Early Warning and Agricultural Productions AfD African Development Bank Forecasting, project of AGRHYMET AFD Agence Française de Développement APEC Asia-Pacific Economic Cooperation AFED Arab Forum on Environment and APHES Assessing -
A Near-Shore Linear Wave Model with the Mixed Finite Volume and Finite Difference Unstructured Mesh Method
fluids Article A Near-Shore Linear Wave Model with the Mixed Finite Volume and Finite Difference Unstructured Mesh Method Yong G. Lai 1,* and Han Sang Kim 2 1 Technical Service Center, U.S. Bureau of Reclamation, Denver, CO 80225, USA 2 Bay-Delta Office, California Department of Water Resources, Sacramento, CA 95814, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-303-445-2560 Received: 5 October 2020; Accepted: 1 November 2020; Published: 5 November 2020 Abstract: The near-shore and estuary environment is characterized by complex natural processes. A prominent feature is the wind-generated waves, which transfer energy and lead to various phenomena not observed where the hydrodynamics is dictated only by currents. Over the past several decades, numerical models have been developed to predict the wave and current state and their interactions. Most models, however, have relied on the two-model approach in which the wave model is developed independently of the current model and the two are coupled together through a separate steering module. In this study, a new wave model is developed and embedded in an existing two-dimensional (2D) depth-integrated current model, SRH-2D. The work leads to a new wave–current model based on the one-model approach. The physical processes of the new wave model are based on the latest third-generation formulation in which the spectral wave action balance equation is solved so that the spectrum shape is not pre-imposed and the non-linear effects are not parameterized. New contributions of the present study lie primarily in the numerical method adopted, which include: (a) a new operator-splitting method that allows an implicit solution of the wave action equation in the geographical space; (b) mixed finite volume and finite difference method; (c) unstructured polygonal mesh in the geographical space; and (d) a single mesh for both the wave and current models that paves the way for the use of the one-model approach. -
SWAN Technical Manual
SWAN TECHNICAL DOCUMENTATION SWAN Cycle III version 40.51 SWAN TECHNICAL DOCUMENTATION by : The SWAN team mail address : Delft University of Technology Faculty of Civil Engineering and Geosciences Environmental Fluid Mechanics Section P.O. Box 5048 2600 GA Delft The Netherlands e-mail : [email protected] home page : http://www.fluidmechanics.tudelft.nl/swan/index.htmhttp://www.fluidmechanics.tudelft.nl/sw Copyright (c) 2006 Delft University of Technology. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sec- tions, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is available at http://www.gnu.org/licenses/fdl.html#TOC1http://www.gnu.org/licenses/fdl.html#TOC1. Contents 1 Introduction 1 1.1 Historicalbackground. 1 1.2 Purposeandmotivation . 2 1.3 Readership............................. 3 1.4 Scopeofthisdocument. 3 1.5 Overview.............................. 4 1.6 Acknowledgements ........................ 5 2 Governing equations 7 2.1 Spectral description of wind waves . 7 2.2 Propagation of wave energy . 10 2.2.1 Wave kinematics . 10 2.2.2 Spectral action balance equation . 11 2.3 Sourcesandsinks ......................... 12 2.3.1 Generalconcepts . 12 2.3.2 Input by wind (Sin).................... 19 2.3.3 Dissipation of wave energy (Sds)............. 21 2.3.4 Nonlinear wave-wave interactions (Snl) ......... 27 2.4 The influence of ambient current on waves . 33 2.5 Modellingofobstacles . 34 2.6 Wave-inducedset-up . 35 2.7 Modellingofdiffraction. 35 3 Numerical approaches 39 3.1 Introduction........................... -
Storm Waves Focusing and Steepening in the Agulhas Current: Satellite Observations and Modeling T ⁎ Y
Remote Sensing of Environment 216 (2018) 561–571 Contents lists available at ScienceDirect Remote Sensing of Environment journal homepage: www.elsevier.com/locate/rse Storm waves focusing and steepening in the Agulhas current: Satellite observations and modeling T ⁎ Y. Quilfena, , M. Yurovskayab,c, B. Chaprona,c, F. Ardhuina a IFREMER, Univ. Brest, CNRS, IRD, Laboratoire d'Océanographie Physique et Spatiale (LOPS), Brest, France b Marine Hydrophysical Institute RAS, Sebastopol, Russia c Russian State Hydrometeorological University, Saint Petersburg, Russia ARTICLE INFO ABSTRACT Keywords: Strong ocean currents can modify the height and shape of ocean waves, possibly causing extreme sea states in Extreme waves particular conditions. The risk of extreme waves is a known hazard in the shipping routes crossing some of the Wave-current interactions main current systems. Modeling surface current interactions in standard wave numerical models is an active area Satellite altimeter of research that benefits from the increased availability and accuracy of satellite observations. We report a SAR typical case of a swell system propagating in the Agulhas current, using wind and sea state measurements from several satellites, jointly with state of the art analytical and numerical modeling of wave-current interactions. In particular, Synthetic Aperture Radar and altimeter measurements are used to show the evolution of the swell train and resulting local extreme waves. A ray tracing analysis shows that the significant wave height variability at scales < ~100 km is well associated with the current vorticity patterns. Predictions of the WAVEWATCH III numerical model in a version that accounts for wave-current interactions are consistent with observations, al- though their effects are still under-predicted in the present configuration. -
Significant Dissipation of Tidal Energy in the Deep Ocean Inferred from Satellite Altimeter Data
letters to nature 3. Rein, M. Phenomena of liquid drop impact on solid and liquid surfaces. Fluid Dynamics Res. 12, 61± water is created at high latitudes12. It has thus been suggested that 93 (1993). much of the mixing required to maintain the abyssal strati®cation, 4. Fukai, J. et al. Wetting effects on the spreading of a liquid droplet colliding with a ¯at surface: experiment and modeling. Phys. Fluids 7, 236±247 (1995). and hence the large-scale meridional overturning, occurs at 5. Bennett, T. & Poulikakos, D. Splat±quench solidi®cation: estimating the maximum spreading of a localized `hotspots' near areas of rough topography4,16,17. Numerical droplet impacting a solid surface. J. Mater. Sci. 28, 963±970 (1993). modelling studies further suggest that the ocean circulation is 6. Scheller, B. L. & Bous®eld, D. W. Newtonian drop impact with a solid surface. Am. Inst. Chem. Eng. J. 18 41, 1357±1367 (1995). sensitive to the spatial distribution of vertical mixing . Thus, 7. Mao, T., Kuhn, D. & Tran, H. Spread and rebound of liquid droplets upon impact on ¯at surfaces. Am. clarifying the physical mechanisms responsible for this mixing is Inst. Chem. Eng. J. 43, 2169±2179, (1997). important, both for numerical ocean modelling and for general 8. de Gennes, P. G. Wetting: statics and dynamics. Rev. Mod. Phys. 57, 827±863 (1985). understanding of how the ocean works. One signi®cant energy 9. Hayes, R. A. & Ralston, J. Forced liquid movement on low energy surfaces. J. Colloid Interface Sci. 159, 429±438 (1993). source for mixing may be barotropic tidal currents. -
Sustained Global Ocean Observing Systems
Introduction Goal The ocean, which covers 71 percent of the Earth’s surface, The goal of the Climate Observation Division’s Ocean Climate exerts profound influence on the Earth’s climate system by Observation Program2 is to build and sustain the in situ moderating and modulating climate variability and altering ocean component of a global climate observing system that the rate of long-term climate change. The ocean’s enormous will respond to the long-term observational requirements of heat capacity and volume provide the potential to store 1,000 operational forecast centers, international research programs, times more heat than the atmosphere. The ocean also serves and major scientific assessments. The Division works toward as a large reservoir for carbon dioxide, currently storing 50 achieving this goal by providing funding to implementing times more carbon than the atmosphere. Eighty-five percent institutions across the nation, promoting cooperation of the rain and snow that water the Earth comes directly from with partner institutions in other countries, continuously the ocean, while prolonged drought is influenced by global monitoring the status and effectiveness of the observing patterns of ocean temperatures. Coupled ocean-atmosphere system, and providing overall programmatic oversight for interactions such as the El Niño-Southern Oscillation (ENSO) system development and sustained operations. influence weather and storm patterns around the globe. Sea level rise and coastal inundation are among the Importance of Ocean Observations most significant impacts of climate change, and abrupt Ocean observations are critical to climate and weather climate change may occur as a consequence of altered applications of societal value, including forecasts of droughts, ocean circulation. -
Semi-Empirical Dissipation Source Functions for Ocean Waves: Part I, Definition, Calibration and Validation
A Generated using V3.0 of the official AMS L TEX template–journal page layout FOR AUTHOR USE ONLY, NOT FOR SUBMISSION! Semi-empirical dissipation source functions for ocean waves: Part I, definition, calibration and validation. Fabrice Ardhuin ∗, Jean-Franc¸ois Filipot and Rudy Magne Service Hydrographique et Oc´eanographique de la Marine, Brest, France Erick Rogers Oceanography Division, Naval Research Laboratory, Stennis Space Center, MS, USA Alexander Babanin Swinburne University, Hawthorn, VA, Australia Pierre Queffeulou Ifremer, Laboratoire d’Oc´eanographie Spatiale, Plouzan´e, France Lotfi Aouf and Jean-Michel Lefevre UMR GAME, M´et´eo-France - CNRS, Toulouse, France Aron Roland Technological University of Darmstadt, Germany Andre van der Westhuysen Deltares, Delft, The Netherlands Fabrice Collard CLS, Division Radar, Plouzan´e, France ABSTRACT New parameterizations for the spectral dissipation of wind-generated waves are proposed. The rates of dissipation have no predetermined spectral shapes and are functions of the wave spectrum, in a way consistent with observation of wave breaking and swell dissipation properties. Namely, swell dissipation is nonlinear and proportional to the swell steepness, and wave breaking only affects spectral components such that the non-dimensional spectrum exceeds the threshold at which waves are observed to start breaking. An additional source of short wave dissipation due to long wave breaking is introduced, together with a reduction of wind-wave generation term for short waves, otherwise taken from Janssen (J. Phys. Oceanogr. 1991). These parameterizations are combined and calibrated with the Discrete Interaction Approximation of Hasselmann et al. (J. Phys. Oceangr. 1985) for the nonlinear interactions. Parameters are adjusted to reproduce observed shapes of directional wave spectra, and the variability of spectral moments with wind speed and wave height. -
Chapter 2: Ocean Observations
Chapter 2. Ocean observations 2.1 Observational methods With the rapid advancement in technology, the instruments and methods for measuring oceanic circulation and properties have been quickly evolving. Nevertheless, it is useful to understand what types of instruments have been available at different points in oceanographic development and their resolution, precision, and accuracy. The majority of oceanographic measurements so far have been made from research vessels, with auxiliary measurements from merchant ships and coastal stations. Fig. 2.1 Research vessel. Accuracy: The difference between a result obtained and the true value. Precision: Ability to measure consistently within a given data set (variance in the measurement itself due to instrument noise). Generally the precision of oceanographic measurements is better than the accuracy. 2.1.1 Measurements of depth. Each oceanographic variable, such as temperature (T), salinity (S), density , and current , is a function of space and time, and therefore a function of depth. In order to determine to which depth an instrument has been deployed, we need to measure ``depth''. Depth measurements are often made with the measurements of other properties, such as temperature, salinity and current. Meter wheel. The wire is passed over a meter wheel, which is simply a pulley of known circumference with a counter attached to the pulley to count the number of turns, thus giving the depth the instrument is lowered. This method is accurate when the sea is calm with negligible currents. In reality, research vessels are moving and currents might be strong, and thus the wire is not straight. The real depth is shorter than the distance the wire paid out. -
Appendix D — Summary of Hydrodynamic, Sediment Transport
Appendix D Summary of Hydrodynamic, Sediment Transport, and Wave Modeling Appendix D Summary of Hydrodynamic, Sediment Transport, and Wave Modeling Spirit Lake Sediment Site Prepared for U. S. Steel Corporation November 2014 325 S. Lake Avenue, Suite 700 Duluth, MN 55802-2323 Phone: 218.529.8200 Fax: 218.529.8202 Summary of Hydrodynamic, Sediment Transport, and Wave Modeling Spirit Lake Sediment Site November 2014 Contents 1.0 Introduction ........................................................................................................................................................................... 1 1.1 Spirit Lake Physical System ......................................................................................................................................... 1 1.1.1 Bathymetric Scans ..................................................................................................................................................... 2 1.1.2 Hydrodynamic Data .................................................................................................................................................. 2 1.1.2.1 River Discharge ................................................................................................................................................. 3 1.1.2.2 Water Level ........................................................................................................................................................ 3 1.1.2.3 Flow Velocity .................................................................................................................................................... -
A Modelling Approach for the Assessment of Wave-Currents Interaction in the Black Sea
Journal of Marine Science and Engineering Article A Modelling Approach for the Assessment of Wave-Currents Interaction in the Black Sea Salvatore Causio 1,* , Stefania A. Ciliberti 1 , Emanuela Clementi 2, Giovanni Coppini 1 and Piero Lionello 3 1 Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Ocean Predictions and Applications Division, 73100 Lecce, Italy; [email protected] (S.A.C.); [email protected] (G.C.) 2 Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Ocean Modelling and Data Assimilation Division, 40127 Bologna, Italy; [email protected] 3 Department of Biological and Environmental Sciences and Technologies, University of Salento—DiSTeBA, 73100 Lecce, Italy; [email protected] * Correspondence: [email protected] Abstract: In this study, we investigate wave-currents interaction for the first time in the Black Sea, implementing a coupled numerical system based on the ocean circulation model NEMO v4.0 and the third-generation wave model WaveWatchIII v5.16. The scope is to evaluate how the waves impact the surface ocean dynamics, through assessment of temperature, salinity and surface currents. We provide also some evidence on the way currents may impact on sea-state. The physical processes considered here are Stokes–Coriolis force, sea-state dependent momentum flux, wave-induced vertical mixing, Doppler shift effect, and stability parameter for computation of effective wind speed. The numerical system is implemented for the Black Sea basin (the Azov Sea is not included) at a horizontal resolution of about 3 km and at 31 vertical levels for the hydrodynamics. Wave spectrum has been discretised into 30 frequencies and 24 directional bins. -
The Contribution of Wind-Generated Waves to Coastal Sea-Level Changes
1 Surveys in Geophysics Archimer November 2011, Volume 40, Issue 6, Pages 1563-1601 https://doi.org/10.1007/s10712-019-09557-5 https://archimer.ifremer.fr https://archimer.ifremer.fr/doc/00509/62046/ The Contribution of Wind-Generated Waves to Coastal Sea-Level Changes Dodet Guillaume 1, *, Melet Angélique 2, Ardhuin Fabrice 6, Bertin Xavier 3, Idier Déborah 4, Almar Rafael 5 1 UMR 6253 LOPSCNRS-Ifremer-IRD-Univiversity of Brest BrestPlouzané, France 2 Mercator OceanRamonville Saint Agne, France 3 UMR 7266 LIENSs, CNRS - La Rochelle UniversityLa Rochelle, France 4 BRGMOrléans Cédex, France 5 UMR 5566 LEGOSToulouse Cédex 9, France *Corresponding author : Guillaume Dodet, email address : [email protected] Abstract : Surface gravity waves generated by winds are ubiquitous on our oceans and play a primordial role in the dynamics of the ocean–land–atmosphere interfaces. In particular, wind-generated waves cause fluctuations of the sea level at the coast over timescales from a few seconds (individual wave runup) to a few hours (wave-induced setup). These wave-induced processes are of major importance for coastal management as they add up to tides and atmospheric surges during storm events and enhance coastal flooding and erosion. Changes in the atmospheric circulation associated with natural climate cycles or caused by increasing greenhouse gas emissions affect the wave conditions worldwide, which may drive significant changes in the wave-induced coastal hydrodynamics. Since sea-level rise represents a major challenge for sustainable coastal management, particularly in low-lying coastal areas and/or along densely urbanized coastlines, understanding the contribution of wind-generated waves to the long-term budget of coastal sea-level changes is therefore of major importance. -
Supplement of Storm Xaver Over Europe in December 2013: Overview of Energy Impacts and North Sea Events
Supplement of Adv. Geosci., 54, 137–147, 2020 https://doi.org/10.5194/adgeo-54-137-2020-supplement © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License. Supplement of Storm Xaver over Europe in December 2013: Overview of energy impacts and North Sea events Anthony James Kettle Correspondence to: Anthony James Kettle ([email protected]) The copyright of individual parts of the supplement might differ from the CC BY 4.0 License. SECTION I. Supplement figures Figure S1. Wind speed (10 minute average, adjusted to 10 m height) and wind direction on 5 Dec. 2013 at 18:00 GMT for selected station records in the National Climate Data Center (NCDC) database. Figure S2. Maximum significant wave height for the 5–6 Dec. 2013. The data has been compiled from CEFAS-Wavenet (wavenet.cefas.co.uk) for the UK sector, from time series diagrams from the website of the Bundesamt für Seeschifffahrt und Hydrolographie (BSH) for German sites, from time series data from Denmark's Kystdirektoratet website (https://kyst.dk/soeterritoriet/maalinger-og-data/), from RWS (2014) for three Netherlands stations, and from time series diagrams from the MIROS monthly data reports for the Norwegian platforms of Draugen, Ekofisk, Gullfaks, Heidrun, Norne, Ormen Lange, Sleipner, and Troll. Figure S3. Thematic map of energy impacts by Storm Xaver on 5–6 Dec. 2013. The platform identifiers are: BU Buchan Alpha, EK Ekofisk, VA? Valhall, The wind turbine accident letter identifiers are: B blade damage, L lightning strike, T tower collapse, X? 'exploded'. The numbers are the number of customers (households and businesses) without power at some point during the storm.