5. Tropical Cyclone Storm Surge and Open Ocean Waves
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Two-Soliton Interaction As an Elementary Act of Soliton Turbulence in Integrable Systems
Two-soliton interaction as an elementary act of soliton turbulence in integrable systems E.N. Pelinovsky1,2, E.G. Shurgalina2, A.V. Sergeeva1, T.G. Talipova1, 3 3 G.A. El ∗ and R.H.J. Grimshaw 1 Department of Nonlinear Geophysical Processes, Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia 2 Department of Applied Mathematics, Nizhny Novgorod Technical University, Nizhny Novgorod, Russia 3 Department of Mathematical Sciences, Loughborough University, UK ∗Corresponding author. Tel: +44 1509 222869; Fax: +44 1509 223969; e-mail: [email protected] 1 Abstract Two-soliton interactions play a definitive role in the formation of the structure of soliton turbulence in integrable systems. To quantify the contribution of these interactions to the dynamical and statistical characteristics of the nonlinear wave field of soliton turbulence we study properties of the spatial moments of the two-soliton solution of the Korteweg – de Vries (KdV) equation. While the first two moments are integrals of the KdV evolution, the third and fourth moments undergo significant variations in the dominant interaction region, which could have strong effect on the values of the skewness and kurtosis in soliton turbulence. Keywords: KdV equation, soliton, turbulence 1 Introduction Solitons represent an intrinsic part of nonlinear wave field in weakly dispersive media and their deterministic dynamics in the framework of the Korteweg– de Vries (KdV) equation is understood very well (see e.g.[1, 2, 3]). At the same time, description of statistical properties of a random ensemble of solitons (or a more general problem of the KdV evolution of a random wave field) still remains to a large extent an unsolved problem, especially in the context of concrete physical applications. -
Weather and Climate: Changing Human Exposures K
CHAPTER 2 Weather and climate: changing human exposures K. L. Ebi,1 L. O. Mearns,2 B. Nyenzi3 Introduction Research on the potential health effects of weather, climate variability and climate change requires understanding of the exposure of interest. Although often the terms weather and climate are used interchangeably, they actually represent different parts of the same spectrum. Weather is the complex and continuously changing condition of the atmosphere usually considered on a time-scale from minutes to weeks. The atmospheric variables that characterize weather include temperature, precipitation, humidity, pressure, and wind speed and direction. Climate is the average state of the atmosphere, and the associated characteristics of the underlying land or water, in a particular region over a par- ticular time-scale, usually considered over multiple years. Climate variability is the variation around the average climate, including seasonal variations as well as large-scale variations in atmospheric and ocean circulation such as the El Niño/Southern Oscillation (ENSO) or the North Atlantic Oscillation (NAO). Climate change operates over decades or longer time-scales. Research on the health impacts of climate variability and change aims to increase understanding of the potential risks and to identify effective adaptation options. Understanding the potential health consequences of climate change requires the development of empirical knowledge in three areas (1): 1. historical analogue studies to estimate, for specified populations, the risks of climate-sensitive diseases (including understanding the mechanism of effect) and to forecast the potential health effects of comparable exposures either in different geographical regions or in the future; 2. studies seeking early evidence of changes, in either health risk indicators or health status, occurring in response to actual climate change; 3. -
Environmental Systems the Atmosphere and Hydrosphere
Environmental Systems The atmosphere and hydrosphere THE ATMOSPHERE The atmosphere, the gaseous layer that surrounds the earth, formed over four billion years ago. During the evolution of the solid earth, volcanic eruptions released gases into the developing atmosphere. Assuming the outgassing was similar to that of modern volcanoes, the gases released included: water vapor (H2O), carbon monoxide (CO), carbon dioxide (CO2), hydrochloric acid (HCl), methane (CH4), ammonia (NH3), nitrogen (N2) and sulfur gases. The atmosphere was reducing because there was no free oxygen. Most of the hydrogen and helium that outgassed would have eventually escaped into outer space due to the inability of the earth's gravity to hold on to their small masses. There may have also been significant contributions of volatiles from the massive meteoritic bombardments known to have occurred early in the earth's history. Water vapor in the atmosphere condensed and rained down, of radiant energy in the atmosphere. The sun's radiation spans the eventually forming lakes and oceans. The oceans provided homes infrared, visible and ultraviolet light regions, while the earth's for the earliest organisms which were probably similar to radiation is mostly infrared. cyanobacteria. Oxygen was released into the atmosphere by these early organisms, and carbon became sequestered in sedimentary The vertical temperature profile of the atmosphere is variable and rocks. This led to our current oxidizing atmosphere, which is mostly depends upon the types of radiation that affect each atmospheric comprised of nitrogen (roughly 71 percent) and oxygen (roughly 28 layer. This, in turn, depends upon the chemical composition of that percent). -
Tllllllll:. Journal of Coastal Research, 17(4),919-930
Journal of Coastal Research 919-930 West Palm Beach, Florida Fall 2001 Obliquely Incident Wave Reflection and Runup on Steep Rough Slope Nobuhisa Kobayashi and Entin A. Karjadi Center for Applied Coastal Research University of Delaware Newark, DE 19716 ABSTRACT _ KOBAYASHI, N. and KARJADI, E.A., 2001. Obliquely incident wave reflection and runup on steep rough slope. .tllllllll:. Journal of Coastal Research, 17(4),919-930. West Palm Beach (Florida), ISSN 0749-0208. ~ A two-dimensional, time-dependent numerical model for finite amplitude, shallow-water waves with arbitrary incident eusss~~ angles is developed to predict the detailed wave motions in the vicinity of the still waterline on a slope. The numerical --+4 method and the seaward and landward boundary algorithms are fairly general but the lateral boundary algorithm is b--- limited to periodic boundary conditions. The computed results for surging waves on a rough 1:2.5 slope are presented for the incident wave angles in the range 0-80°. The time-averaged continuity, momentum and energy equations are used to check the accuracy of the numerical model as well as to examine the cross-shore variations of wave setup, return current, longshore current, momentum fluxes, energy fluxes and dissipation rates. The computed reflected waves and waterline oscillations are shown to have the same alongshore wavelength as the specified nonlinear inci dent waves. The computed variations of the reflected wave phase shift and wave runup are shown to be consistent with available empirical formulas. More quantitative comparisons will be required to evaluate the model accuracy. ADDITIONAL INDEX WORDS: Oblique waves, reflection, runup, revetments, breakwaters, wave setup, return current, longshore current. -
Wind Energy Forecasting: a Collaboration of the National Center for Atmospheric Research (NCAR) and Xcel Energy
Wind Energy Forecasting: A Collaboration of the National Center for Atmospheric Research (NCAR) and Xcel Energy Keith Parks Xcel Energy Denver, Colorado Yih-Huei Wan National Renewable Energy Laboratory Golden, Colorado Gerry Wiener and Yubao Liu University Corporation for Atmospheric Research (UCAR) Boulder, Colorado NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. S ubcontract Report NREL/SR-5500-52233 October 2011 Contract No. DE-AC36-08GO28308 Wind Energy Forecasting: A Collaboration of the National Center for Atmospheric Research (NCAR) and Xcel Energy Keith Parks Xcel Energy Denver, Colorado Yih-Huei Wan National Renewable Energy Laboratory Golden, Colorado Gerry Wiener and Yubao Liu University Corporation for Atmospheric Research (UCAR) Boulder, Colorado NREL Technical Monitor: Erik Ela Prepared under Subcontract No. AFW-0-99427-01 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory Subcontract Report 1617 Cole Boulevard NREL/SR-5500-52233 Golden, Colorado 80401 October 2011 303-275-3000 • www.nrel.gov Contract No. DE-AC36-08GO28308 This publication received minimal editorial review at NREL. NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. -
Part II-1 Water Wave Mechanics
Chapter 1 EM 1110-2-1100 WATER WAVE MECHANICS (Part II) 1 August 2008 (Change 2) Table of Contents Page II-1-1. Introduction ............................................................II-1-1 II-1-2. Regular Waves .........................................................II-1-3 a. Introduction ...........................................................II-1-3 b. Definition of wave parameters .............................................II-1-4 c. Linear wave theory ......................................................II-1-5 (1) Introduction .......................................................II-1-5 (2) Wave celerity, length, and period.......................................II-1-6 (3) The sinusoidal wave profile...........................................II-1-9 (4) Some useful functions ...............................................II-1-9 (5) Local fluid velocities and accelerations .................................II-1-12 (6) Water particle displacements .........................................II-1-13 (7) Subsurface pressure ................................................II-1-21 (8) Group velocity ....................................................II-1-22 (9) Wave energy and power.............................................II-1-26 (10)Summary of linear wave theory.......................................II-1-29 d. Nonlinear wave theories .................................................II-1-30 (1) Introduction ......................................................II-1-30 (2) Stokes finite-amplitude wave theory ...................................II-1-32 -
Dynamics of Wave Setup Over a Steeply Sloping Fringing Reef
DECEMBER 2015 B U C K L E Y E T A L . 3005 Dynamics of Wave Setup over a Steeply Sloping Fringing Reef MARK L. BUCKLEY AND RYAN J. LOWE School of Earth and Environment, and The Oceans Institute, and ARC Centre of Excellence for Coral Reef Studies, University of Western Australia, Crawley, Western Australia, Australia JEFF E. HANSEN School of Earth and Environment, and The Oceans Institute, University of Western Australia, Crawley, Western Australia, Australia AP R. VAN DONGEREN Unit ZKS, Department AMO, Deltares, Delft, Netherlands (Manuscript received 6 April 2015, in final form 8 September 2015) ABSTRACT High-resolution observations from a 55-m-long wave flume were used to investigate the dynamics of wave setup over a steeply sloping reef profile with a bathymetry representative of many fringing coral reefs. The 16 runs incorporating a wide range of offshore wave conditions and still water levels were conducted using a 1:36 scaled fringing reef, with a 1:5 slope reef leading to a wide and shallow reef flat. Wave setdown and setup observations measured at 17 locations across the fringing reef were compared with a theoretical balance between the local cross-shore pressure and wave radiation stress gradients. This study found that when ra- diation stress gradients were calculated from observations of the radiation stress derived from linear wave theory, both wave setdown and setup were underpredicted for the majority of wave and water level conditions tested. These underpredictions were most pronounced for cases with larger wave heights and lower still water levels (i.e., cases with the greatest setdown and setup). -
Wind Characteristics 1 Meteorology of Wind
Chapter 2—Wind Characteristics 2–1 WIND CHARACTERISTICS The wind blows to the south and goes round to the north:, round and round goes the wind, and on its circuits the wind returns. Ecclesiastes 1:6 The earth’s atmosphere can be modeled as a gigantic heat engine. It extracts energy from one reservoir (the sun) and delivers heat to another reservoir at a lower temperature (space). In the process, work is done on the gases in the atmosphere and upon the earth-atmosphere boundary. There will be regions where the air pressure is temporarily higher or lower than average. This difference in air pressure causes atmospheric gases or wind to flow from the region of higher pressure to that of lower pressure. These regions are typically hundreds of kilometers in diameter. Solar radiation, evaporation of water, cloud cover, and surface roughness all play important roles in determining the conditions of the atmosphere. The study of the interactions between these effects is a complex subject called meteorology, which is covered by many excellent textbooks.[4, 8, 20] Therefore only a brief introduction to that part of meteorology concerning the flow of wind will be given in this text. 1 METEOROLOGY OF WIND The basic driving force of air movement is a difference in air pressure between two regions. This air pressure is described by several physical laws. One of these is Boyle’s law, which states that the product of pressure and volume of a gas at a constant temperature must be a constant, or p1V1 = p2V2 (1) Another law is Charles’ law, which states that, for constant pressure, the volume of a gas varies directly with absolute temperature. -
Coastal Processes and Longshore Sediment Transport Along Krui Coast, Pesisir Barat of Lampung
ICOSITER 2018 Proceeding Journal of Science and Applicative Technology Coastal Processes and Longshore Sediment Transport along Krui Coast, Pesisir Barat of Lampung Trika Agnestasia Tarigan 1, Nanda Nurisman 1 1 Ocean Engineering Department, Institut Teknologi Sumatera, Lampung Selatan, Lampung Abstract. Longshore sediment transport is one of the main factors influencing coastal geomorphology along the Krui Coast, Pesisir Barat of Lampung. Longshore sediment transport is closely related to the longshore current that is generated when waves break obliquely to the coast. The growth of waves depends upon wind velocity, the duration of the wind, and the distance over which the wind blow called fetch. The daily data of wind speed and direction are forecast from European Centre for Medium-Range Weather Forecasts (ECMWF). This study examines for predicting longshore sediment transport rate using empirical method. The wave height and period were calculated using Shore Protection Manual (SPM) 1984 method and the longshore sediment transport estimation based on the CERC formula, which also includes the wave period, beach slope, sediment grain size, and breaking waves type. Based on the use CERC formula it is known that from the Southeast direction (Qlst(1) ) the sediment transport discharge is 2.394 m3/s, in 1 (one) year the amount of sediment transport reaches 75,495,718 m3/s. 3 Whereas from the northwest direction of (Qlst(2)) the sediment transport debit is 2.472 m /s, in 1 (one) year the amount of sediment transport reaches 77,951,925 m3/s. 1. Introduction The geographical condition of Krui Coast which is directly adjacent to the Indian Ocean makes this area get a direct influence from the physical parameters of the sea, which is the wave. -
Wintertime Coastal Upwelling in Lake Geneva: an Efficient Transport
RESEARCH ARTICLE Wintertime Coastal Upwelling in Lake Geneva: An 10.1029/2020JC016095 Efficient Transport Process for Deepwater Key Points: • Coastal upwelling during winter in a Renewal in a Large, Deep Lake large deep lake was investigated by Rafael S. Reiss1 , U. Lemmin1, A. A. Cimatoribus1 , and D. A. Barry1 field observations, 3‐D numerical modeling, and particle tracking 1Ecological Engineering Laboratory (ECOL), Faculty of Architecture, Civil and Environmental Engineering (ENAC), • Upwelled water masses originating from the deep hypolimnion spend Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland up to 5 days near the surface before descending back into that layer • Wintertime coastal upwelling is an Abstract Combining field measurements, 3‐D numerical modeling, and Lagrangian particle tracking, fi ef cient yet overlooked process for we investigated wind‐driven, Ekman‐type coastal upwelling during the weakly stratified winter period deepwater renewal in large deep lakes with favorable wind conditions 2017/2018 in Lake Geneva, Western Europe's largest lake (max. depth 309 m). Strong alongshore wind stress, persistent for more than 7 days, led to tilting and surfacing of the thermocline (initial depth Supporting Information: 75–100 m). Observed nearshore temperatures dropped by 1°C and remained low for 10 days, with the lowest • Supporting Information S1 temperatures corresponding to those of hypolimnetic waters originating from 200 m depth. Nearshore • Movie S1 current measurements at 30 m depth revealed dominant alongshore currents in the entire water column − (maximum current speed 25 cm s 1) with episodic upslope transport of cold hypolimnetic waters in the fi ‐ Correspondence to: lowest 10 m mainly during the rst 3 days. -
Coastal Dynamics 2017 Paper No. 156 513 How Tides and Waves
Coastal Dynamics 2017 Paper No. 156 How Tides and Waves Enhance Aeolian Sediment Transport at The Sand Motor Mega-nourishment , 1,2 1 1 Bas Hoonhout1 2, Arjen Luijendijk , Rufus Velhorst , Sierd de Vries and Dano Roelvink3 Abstract Expanding knowledge concerning the close entanglement between subtidal and subaerial processes in coastal environments initiated the development of the open-source Windsurf modeling framework that enables us to simulate multi-fraction sediment transport due to subtidal and subaerial processes simultaneously. The Windsurf framework couples separate model cores for subtidal morphodynamics related to waves and currents and storms and aeolian sediment transport. The Windsurf framework bridges three gaps in our ability to model long-term coastal morphodynamics: differences in time scales, land/water boundary and differences in meshes. The Windsurf framework is applied to the Sand Motor mega-nourishment. The Sand Motor is virtually permanently exposed to tides, waves and wind and is consequently highly dynamic. In order to understand the complex morphological behavior of the Sand Motor, it is vital to take both subtidal and subaerial processes into account. The ultimate aim of this study is to identify governing processes in aeolian sediment transport estimates in coastal environments and improve the accuracy of long-term coastal morphodynamic modeling. At the Sand Motor beach armoring occurs on the dry beach. In contrast to the dry beach, no armor layer can be established in the intertidal zone due to periodic flooding. Consequently, during low tide non-armored intertidal beaches are susceptible for wind erosion and, although moist, may provide a larger aeolian sediment supply than the vast dry beach areas. -
Estimation of Significant Wave Height Using Satellite Data
Research Journal of Applied Sciences, Engineering and Technology 4(24): 5332-5338, 2012 ISSN: 2040-7467 © Maxwell Scientific Organization, 2012 Submitted: March 18, 2012 Accepted: April 23, 2012 Published: December 15, 2012 Estimation of Significant Wave Height Using Satellite Data R.D. Sathiya and V. Vaithiyanathan School of Computing, SASTRA University, Thirumalaisamudram, India Abstract: Among the different ocean physical parameters applied in the hydrographic studies, sufficient work has not been noticed in the existing research. So it is planned to evaluate the wave height from the satellite sensors (OceanSAT 1, 2 data) without the influence of tide. The model was developed with the comparison of the actual data of maximum height of water level which we have collected for 24 h in beach. The same correlated with the derived data from the earlier satellite imagery. To get the result of the significant wave height, beach profile was alone taking into account the height of the ocean swell, the wave height was deduced from the tide chart. For defining the relationship between the wave height and the tides a large amount of good quality of data for a significant period is required. Radar scatterometers are also able to provide sea surface wind speed and the direction of accuracy. Aim of this study is to give the relationship between the height, tides and speed of the wind, such relationship can be useful in preparing a wave table, which will be of immense value for mariners. Therefore, the relationship between significant wave height and the radar backscattering cross section has been evaluated with back propagation neural network algorithm.