University of the Rykyus International Graduate Program For Asia Pasific Region Report of International Research

Similar documents
Wave Energy Atlas in Vietnam

EFFECTS OF WAVE, TIDAL CURRENT AND OCEAN CURRENT COEXISTENCE ON THE WAVE AND CURRENT PREDICTIONS IN THE TSUGARU STRAIT

Generalized Wave-Ray Approach for Propagation on a Sphere and Its Application to Swell Prediction

Directional Wave Spectra from Video Images Data and SWAN Model. Keywords: Directional wave spectra; SWAN; video images; pixels

Ocean Wave Forecasting at ECMWF

Application of Simulating WAves Nearshore (SWAN) model for wave simulation in Gulf of Thailand

Ocean Wave Forecasting

Available online at ScienceDirect. Procedia Engineering 116 (2015 )

Nearshore Wind-Wave Forecasting at the Oregon Coast. Gabriel García, H. Tuba Özkan-Haller, Peter Ruggiero November 16, 2011

Recent developments in wave modelling with the Two-Scale WAVEWATCH-III

from a decade of CCD temperature data

Shoreline Evolution Due to Oblique Waves in Presence of Submerged Breakwaters. Nima Zakeri (Corresponding Author), Mojtaba Tajziehchi

A GENERALIZED WAVE-RAY APPROACH FOR PROPAGATION ON A SPHERE AND ITS APPLICATION TO SWELL PREDICTION

WAVE FORECASTING FOR OFFSHORE WIND FARMS

An Investigation of a Safety Level in Terms of. Excessive Acceleration in Rough Seas

Ocean Waves and Surf Forecasting: Wave Climate and Forecasting

Wave forecasting at ECMWF

The impact of ocean bottom morphology on the modelling of long gravity waves from tides and tsunami to climate

BILLY BISHOP TORONTO CITY AIRPORT PRELIMINARY RUNWAY DESIGN COASTAL ENGINEERING STUDY

General Oceanography Geology 105 Expedition #19 The Ocean and Climate

CHAPTER 6 DISCUSSION ON WAVE PREDICTION METHODS

Beach Wizard: Development of an Operational Nowcast, Short-Term Forecast System for Nearshore Hydrodynamics and Bathymetric Evolution

El Niño Southern Oscillation. Pressure systems over Darwin Australia and Tahiti Oscillate Typically occurs every 4-7 years

EVALUATION OF ENVISAT ASAR WAVE MODE RETRIEVAL ALGORITHMS FOR SEA-STATE FORECASTING AND WAVE CLIMATE ASSESSMENT

Buoy data assimilation to improve wave height assessment in Bay of Bengal during monsoon seasons

ABNORMALLY HIGH STORM WAVES OBSERVED ON THE EAST COAST OF KOREA

LABORATORY EXPERIMENTS ON WAVE OVERTOPPING OVER SMOOTH AND STEPPED GENTLE SLOPE SEAWALLS

Wave Modeling and Applications

Appendix E Cat Island Borrow Area Analysis

Ocean Currents Lecture Notes

Equatorial upwelling. Example of regional winds of small scale

The Wave Climate of Ireland: From Averages to Extremes. Sarah Gallagher, Met Éireann

MODELING OF CLIMATE CHANGE IMPACTS ON COASTAL STRUCTURES - CONTRIBUTION TO THEIR RE-DESIGN

PROPOSAL OF NEW PROCEDURES FOR IMPROVED TSUNAMI FORECAST BY APPLYING COASTAL AND OFFSHORE TSUNAMI HEIGHT RATIO

Wave Generation. Chapter Wave Generation

Effect of Orography on Land and Ocean Surface Temperature

IMPACTS OF COASTAL PROTECTION STRATEGIES ON THE COASTS OF CRETE: NUMERICAL EXPERIMENTS

Wave research at Department of Oceanography, University of Hawai i

Wave energy converter effects on wave and sediment circulation

First studies with the high-resolution coupled wave current model CWAM and other aspects of the project Sea State Monitor

Outline. 1 Background Introduction. 3 SST Amphidrome 4 Niño Pipe 5. SST in China Seas. Seasonality Spiral. Eddy Tracking. Concluding Remarks

17. High Resolution Application of the Technology Development Index (TDI) in State Waters. South of Block Island

DUXBURY WAVE MODELING STUDY

Modeling Sediment Transport Along the Upper Texas Coast

The Evolution of Vertical Spatial Coherence with Range from Source

CHAPTER 68. RANDOM BREAKING WAVES HORIZONTAL SEABED 2 HANS PETER RIEDEl. & ANTHONY PAUL BYRNE

EVALUATION OF TSUNAMI FLUID FORCE ACTING ON THE BRIDGE DECK

WaMoS II Wave Monitoring System

Variability in the tropical oceans - Monitoring and prediction of El Niño and La Niña -

STUDY ON TSUNAMI PROPAGATION INTO RIVERS

Surface Wave Processes on the Continental Shelf and Beach

HYDROSPHERE, OCEANS AND TIDES

Numerical wave modeling and wave energy estimation

ENSO Cycle: Recent Evolution, Current Status and Predictions. Update prepared by Climate Prediction Center / NCEP 8 March 2010

Waves. G. Cowles. General Physical Oceanography MAR 555. School for Marine Sciences and Technology Umass-Dartmouth

ESCI 485 Air/sea Interaction Lesson 9 Equatorial Adjustment and El Nino Dr. DeCaria

SURFLINE TEAHUPOO, TAHITI SURF REPORT

WAVE PREDICTIONS AT THE SITE OF A WAVE ENERGY CONVERSION ARRAY

PHYSICAL AND NUMERICAL MODELLING OF WAVE FIELD IN FRONT OF THE CONTAINER TERMINAL PEAR - PORT OF RIJEKA (ADRIATIC SEA)

Wave Prediction in the Santa Barbara Channel

Pathways and Effects of Indonesian Throughflow water in the Indian Ocean using Trajectory and Tracer experiments in an OGCM

GLOBAL VALIDATION AND ASSIMILATION OF ENVISAT ASAR WAVE MODE SPECTRA

Wave Transformation, Prediction, and Analysis at Kaumalapau Harbor, Lanai, Hawaii

The Influence of Ocean Surface Waves on Offshore Wind Turbine Aerodynamics. Ali Al Sam

A New Strategy for Harbor Planning and Design

Sensitivity of storm waves in Montevideo (Uruguay) to a hypothetical climate change

Monitoring and prediction of El Niño and La Niña

Scales of Atmospheric Motion Scale Length Scale (m) Time Scale (sec) Systems/Importance Molecular (neglected)

GEOS 201 Lab 13 Climate of Change InTeGrate Module Case studies 2.2 & 3.1

SINGULAR WAVES, PROPAGATION AND PROGNOSIS. H. Günther, W. Rosenthal

International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN:

PHY 221: Wavefunction, Wave Superposition, Standing Waves on a String

ISOLATION OF NON-HYDROSTATIC REGIONS WITHIN A BASIN

Climatology of the 10-m wind along the west coast of South American from 30 years of high-resolution reanalysis

Dynamics and variability of surface wind speed and divergence over mid-latitude ocean fronts

Matlab Interface Associated with Modelling Surface Waves in the Nearshore

Calculation of wave conditions in water area with sharp bottom unevenness

OCN 201 Surface Circulation

IMAGE-BASED FIELD OBSERVATION OF INFRAGRAVITY WAVES ALONG THE SWASH ZONE. Yoshimitsu Tajima 1

Extreme waves in the ECMWF operational wave forecasting system. Jean-Raymond Bidlot Peter Janssen Saleh Abdalla

Wave Energy Resources Assessment for the China Sea Based on AVISO Altimeter and ERA Reanalysis Data (ID:10412)

An integrated three-dimensional model of wave-induced pore pressure and effective stresses in a porous seabed: II. Breaking waves

Examples of Carter Corrected DBDB-V Applied to Acoustic Propagation Modeling

Ikutaro Shimizu National Research Institute of Fisheries Science Fisheries Research Agency of Japan

OCEANOGRAPHY STUDY GUIDE

Scour Analysis at Seawall in Salurang, Sangihe Islands Regency, North Sulawesi

Intraseasonal Variability in Sea Level Height in the Bay of Bengal: Remote vs. local wind forcing & Comparison with the NE Pacific Warm Pool

Open Ocean Storm Waves in the Arctic

Development of a Wave Database in Coastal Areas around Sweden Using the SWAN Wave Model

SCREENING OF TOPOGRAPHIC FACTOR ON WIND SPEED ESTIMATION WITH NEURAL NETWORK ANALYSIS

Seasonal Currents in the Bay of Bengal and Andaman Sea Revealed by Reprocessed Observations

SIMULATION OF THE FLOW FIELD CHARACTERISTICS OF TRANSIENT FLOW

WAVE MECHANICS FOR OCEAN ENGINEERING

COASTAL EROSION: INVESTIGATIONS IN THE SOUTHWEST COAST OF SRI LANKA

Testing TELEMAC-2D suitability for tsunami propagation from source to near shore

The relevance of ocean surface current in the ECMWF analysis and forecast system. Hans Hersbach Jean-Raymond Bidlot

Asymmetry in zonal phase propagation of ENSO sea surface temperature anomalies

Preventing Damage to Harbour Facilities and. Ship Handling in Harbours PART 2 INDEX

Analysis of Extreme Wave Climates in Rhode Island Waters South of Block Island

LONG- TERM CHANGE IN PRE- MONSOON THERMAL INDEX OVER CENTRAL INDIAN REGION AND SOUTH WEST MONSOON VARIABILITY

Transcription:

University of the Rykyus International Graduate Program For Asia Pasific Region Report of International Research Researcher Information Arik Wijayanti 2 nd Years of Master Program, Departemen of Civil Engineering, Engineering Faculty Diponegoro University. Aceptance Information Prof. Yukiharu Hisaki Physical Oceanography Laboratory Department of Physics and Earth Sciences Faculty of Science University of the Ryukyus Research Term September 30, 2012 October 31, 2012 Research Title. Analysis wave prediction in East China Sea at 1999, using WAM Model Abstrak Characteristics of wave height along of the East China Sea in 1999 assessed using WAM modeling method to determine the wave height in the East China Sea. In this study, also conducted the trial simulation model that refers to the fixed depth (bathymetry) to determine the effect of wind on wave model simulation results. Simulation results show that the wind waves along the waters of the East China Sea in 1999 had a high wave 0.5 5 m thought to have come from the Deep Sea (Pacific Ocean) as local wave generation by wind, and the effect of high water levels due to the current meeting Oyasiwo and Kurosiwo Keywords : wave height, WAM Model, East China Sea. 1

Preliminary Waters of the East China Sea is very important as a trade route and other transactions between China, Taiwan and Japan. Wave height is very influential on shipping and coastal protection. To get a good understanding of this, the study conducted characteristic wave height. The study of the characteristics and the wave height has been done both on a global scale (Semedo, et al., 2011; Dodet, et al., 2010) but the characteristics of the generated wave heights in the Pacific Ocean that extends into the East China Sea The primary method used in this study is modeling (simulation) of mathematics, namely the WAM Model Methods Equation builder In this study, height and wave period predicted using the WAM Model [WAMDI group, 1988. The evolution of two dimensional ocean wave spectrum F(f, θ, Φ, λ, t) with respect to frequency f and direction θ, as function of latitude Φ and longitude λ on the spherical earth is governed by the transport equation : (1) Where S is the net source function describing the change of energy of a propagating wave group. The sources function for the deep water case maybe represented as a superposition of the wind input, non linier transfer, and white capping dissipation source functions (2) Aplication Models Location model (Figure 1) covering the East China Sea. Boundary of the model is the Okinawa area on the northern boundary, the eastern boundary of the Pacific Ocean, at the southern Taiwan, China's western border. The selection of the model area refers to the data buoy (Figure 2) 2

Figure 1. Research Location east China Sea Figure 2. Buoy Location In definition models, In the area of defining the model, used in the form of the model grid size of 0.5 m, with the location of 22 N - 34 N and 118 E - 132 E (Figure 3) Figure 3. Defining the assessment models Wave generate that are used in the model of the ocean wave height are used in wind measurement intervals every 3 (three) hours obtained from ECMWF (The European Center for Medium Range Weather Forecast). Model simulation conducted for 1 year (Januari 1 1999 Desember 31 1999). The result of wave height prediction in Figure 4 3

Figure 4. Wave height prediction 4

Results and Discussion Model verification Verification is based on the availability of existing data, by comparing the maximum wave height, significant, and a minimum of model results with data the maximum wave height, significant, minimum Buoy measurements (Figure 5)\ Figure 5. Verification of the model result and buoy measurements Figure 5 shows that the maximum wave height, significant and minimum model results with buoy measurement data shows the error of 8% yield, so that the model results can be accepted, the results of the model indicated that the maximum wave height in the East China Sea 3.14 m, significant wave 2, 37 m and a minimum wave of 0.47 m, it is in the East China Sea has a relatively high wave, the wave height in this area caused by wave from in the deep ocean, from Pacific Ocean. so the generation of sea waves and the length of fetch in the region has a great contribution in the formation of wave height.. Conclusion The simulation shows that the wave height associated with local wind, wave generate location and area, to obtain more accurate results quantitatively, in subsequent studies ECMWF wind data inputs need to be modified for the wave period, direction and energy. The results of this study are expected to be useful to those involved in taking strategic steps, particularly in the field of disaster management of marine and coastal area 5

Acknowledgements Thank you for Prof. Yukiharu Hisaki who has given literature related valuable aspects hidooseanografi and modeling. University of the Ryukyus Faculty of Science who have provided short term scholarship, in addition, the authors also say thank you to all those who have proofread and provide advice on this research report Bibliograpfy CERC, 1984. Shore protection manual. Washington: US Army Coastal Engineering Research Center. Dodet, G., X. Bertin, & R. Taborda. 2010. Wave climate variability in the North-East Atlantic Ocean over the last six decades. Ocean Modelling, 31(3-4): 120-131 Semedo, A., K. Sušelj, A. Rutgersson, & A. Sterl. 2011. A global view on the wind sea and swell climate and variability from ERA-40, J. Climate, 24(5): 1461-1479 Wamdi Group, 1988, The WAM Model A Third Generation Ocean Wave Prediction Model, Vol 18, 1775-1810 Hisaki, Y. (2007), Directional distribution of the short wave estimated from HF Ocean Radars, VOL. 112, C10014, doi:10.1029/2007jc004296, 2007 6