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http://dx.doi.org/10.4217/OPR.2021.43.3.179

Sensitivity Analysis of Wind-Wave Growth Parameter during Typhoon Season in Summer for Developing an Integrated Global/Regional/Coastal Wave Prediction System  

Oh, Youjung (Typhoon Research Center, Jeju National University)
Oh, Sang Meong (Operational Systems Development Department, National Institute of Meteorological Science)
Chang, Pil-Hun (Operational Systems Development Department, National Institute of Meteorological Science)
Kang, KiRyong (Operational Systems Development Department, National Institute of Meteorological Science)
Moon, Il-Ju (Typhoon Research Center, Jeju National University)
Publication Information
Ocean and Polar Research / v.43, no.3, 2021 , pp. 179-192 More about this Journal
Abstract
In this study, an integrated wave model from global to coastal scales was developed to improve the operational wave prediction performance of the Korean Meteorological Administration (KMA). In this system, the wave model was upgraded to the WaveWatch III version 6.07 with the improved parameterization of the source term. Considering the increased resolution of the wind input field and the introduction of the high-performance KMA 5th Supercomputer, the spatial resolution of global and regional wave models has been doubled compared to the operational model. The physical processes and coefficients of the wave model were optimized for the current KMA global atmospheric forecasting system, the Korean Integrated Model (KIM), which is being operated since April 2020. Based on the sensitivity experiment results, the wind-wave growth parameter (βmax) for the global wave model was determined to be 1.33 with the lowest root mean square errors (RMSE). The value of βmax showed the lowest error when applied to regional/coastal wave models for the period of the typhoon season when strong winds occur. Applying the new system to the case of August 2020, the RMSE for the 48-hour significant wave height prediction was reduced by 13.4 to 17.7% compared to the existing KMA operating model. The new integrated wave prediction system plans to replace the KMA operating model after long-term verification.
Keywords
wave prediction; wavewatch III; significant wave height; wind-wave growth parameter; typhoon;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Lee HS (2015) Evaluation of WAVEWATCH III performance with wind input and dissipation source terms using wave buoy measurements for October 2006 along the east Korean coast in the East Sea. Ocean Eng 100:67-82   DOI
2 Tolman HL, Balasubramaniyan B, Burroughs LD, Chalikov DV, Chao YY, Chen HS, Gerald VM (2002) Development and implementation of wind generated ocean surface wave models at NCEP. Weather Forecast 17:311-333   DOI
3 Bidlot JR, Janssen P, Abdalla S (2005) A revised formulation for ocean wave dissipation in CY29R1. In: Internal memorandum research department R60.9/JB/0516. ECMWF, London, pp 1-35
4 Bidlot JR, Janssen P, Abdalla S (2007) A revised formulation of ocean wave dissipation and its model impact. In: ECMWF Technical Memoranda, London, pp 1-27
5 Chalikov DV, Belevich MY (1993) One-dimensional theory of the wave boundary layer. Bound-Lay Meteorol 63:65-96   DOI
6 Do K, Kim J (2018) A Study on the predictability of eastern winter storm waves using operational wind forecasts of KMA. J Kore an Soc Coast Oce an Eng 30(5):223-233   DOI
7 Kim NO (2006) The Status of HPC infrastructure and NWP operation in KMA. In: 12th ECMWF HPC Workshop, London, 30 Oct-3 Nov 2006
8 Kim TR, Lee JH (2018) Comparison of high wave hindcasts during typhoon Bolaven (1215) using SWAN and WAVEWATCH III Model. J Coastal Res 85(sp1):1096-1100   DOI
9 Son G, Park JS, Lim B (2015) Validation and sensitivity experiments comparing the physical parameterization of numerical wave model. In: Ocean 2015 - MTS/IEEE Washington, 19-22 Oct 2015
10 Park SW, Lee DU, Seo JW (2009) Operational wind wave prediction system at KMA. Mar Geod 32:133-150   DOI
11 You SH, Park JS (2010) Research on wind waves characteristics by comparison of regional wind wave prediction system and ocean buoy data. J Ocean Eng Techonol 24(6):7-15
12 Tolman HL, Chalikov DV (1996) Source te rms in a third-generation wind-wave model. J Phys Oceanogr 26:2497-2518   DOI
13 You SH (2009) Marine meteorological characteristics in 2006-2007 year near the Korean peninsular: wind waves. Atmos 19(1):93-106
14 You SH (2019) KMA's operational marine prediction & forecasting system. 16th international workshop on wave hindcasting and forecasting, Sheraton hotel, Melbourne, 10-15 Nov 2019
15 Park JS, Kang K (2012) Sensitivity analysis of global windwave model. J Korean Soc Coast Ocean Eng 24(5):333-342   DOI
16 Yuk JH, Kim KO, Jung KT, Choi BH (2016) Swell prediction for the Korean Coast. J Coastal Res 32(1):131-141   DOI
17 NIMR (1990) The study of meteorological characteristics and marine forecasting over the seas around Korea (IV). National Institute of Meteorological Research, TRKO200 200002212, 373 p
18 Ardhuin F, Hanafin J, Quilfen Y, Chapron B, Queffeulou P, Obrebski M, Sienkiewicz J, Vandermark D (2011) Calibration of the IOWAGA global wave hindcast (1991-2011) using ECMWF and CFSR winds. In: Abstracts of the 12th international workshop on wave hindcasting and forecasting, Kona, 30 Oct-4 Nov 2011
19 WW3DG (2019) User manual and system documentation of WAVEWATCH III v6.07. The WAVEWATCH III Development Group, technical note 333, NOAA/NWS/ NCEP/MMAB, 466 p
20 Moon IJ, Oh IS, Lee DE, Youn YH, Chung SK, Cho JY (1998) Application of the third generation wave prediction model WAM to the seas around Korea. Asia-Pac J Atmos Sci 34(3):446-458
21 Rascle N, Ardhuin F (2013) A global wave parameter database for geophysical applications. Part 2: model validation with improved source term parameterization. Ocean Model 70:174-188   DOI
22 Seo JW, Chang YS (2003) Characteristics of the monthly mean sea surface winds and wind waves near the Korean marginal seas in the 2002 year computed using MM5/KMA and WAVEWATCH-3 model. J Korean Soc Oceanogr 8(3):262-273
23 Le e HS, Kim KO, Yamashita T, Komaguchi T, Mishima T (2010) Abnormal storm waves in the winter East/Japan Sea: generation process and hindcasting using an atmosphere-wind wave modelling system. Nat Hazards Earth Syst Sci 10:773-792   DOI
24 Ardhuin F, Rogers E, Babanin AV, Filipot JF, Magne R, Roland A, Westhuysen A, Queffeulou P, Lefevre JM, Aouf L, Collard F (2010) Semiempirical dissipation source functions for ocean waves. Part I: definition, calibration, and validation. J Phys Oceanogr 40(9):1917-1941   DOI
25 The WAMDI Group (1988) The WAM model - A third generation ocean wave prediction model. J Phys Oceanogr 18: 1775-1810   DOI
26 Janssen P (1991) Quasi-linear theory of wind-wave generation applied to wave forecasting. J Phys Oceanogr 21(11):1631-1642   DOI
27 KMA (2020) A study on improvement of ocean prediction system using observational data (III). Korea Meteorological Administration, 11-1360620-000196-01, 162 p
28 Liu Q, Babanin A, Fan Y, Zieger S, Guan C, Moon IJ (2017) Numerical simulations of ocean surface waves under hurricane conditions: assessment of existing model performance. Ocean Model 118:73-93   DOI
29 Caires S, Kim J, Groeneweg J (2018) Korean east coast wave predictions by means of ensemble kalman filter data assimilation. Ocean Dyn 68:1571-1592   DOI