Wind-wave hindcast using modified ECMWF ERA-Interim wind field in the Mediterranean Sea

被引:19
作者
Elkut, Ahmed Elsayed [1 ]
Taha, Mostafa Tawfik [2 ]
Abu Zed, Abu Bakr Elseddiek [1 ]
Eid, Fahmy Mohammed [3 ]
Abdallah, Mohammed Abdallah [3 ]
机构
[1] Coastal Res Inst CoRI, Hydrodynam Dept, Alexandria, Egypt
[2] Cairo Univ, Irrigat & Hydraul Dept, Fac Engn, Cairo, Egypt
[3] Alexandria Univ, Dept Oceanog, Fac Sci, Alexandria, Egypt
关键词
SWAN; Significant wave height; Levantine basin; Wave atlas; WAVEWATCH III; MODEL PERFORMANCE; MULTIPLE ASPECTS; SWAN;
D O I
10.1016/j.ecss.2021.107267
中图分类号
Q17 [水生生物学];
学科分类号
071004 ;
摘要
This study evaluates the usage of the SWAN model forced with modified wind field along the Mediterranean Sea. ECMWF ERA-Interim wind field was used to force the model. Third-generation SWAN model was applied in nonstationary mode with linear and exponential growth from wind including both deep and shallow water wave dissipation processes. Four locations have been considered to calibrate and validate the model on spatial and temporal scales, two wave buoys at Alghero and Mazara, Italy in the western Mediterranean during years 1990 and 1998; and two S4DW devices along the Egyptian Mediterranean Coast in the eastern Mediterranean during the years 2004 and 2010. ECMWF wind field and its influence on the different wave parameters were assessed. Model calibration results revealed that enhancing the ECMWF ERA-Interim wind field by 20%-25% gives good matching results in hindcasting significant wave height with better estimates of extreme events using a 25% enhancement factor. However, no considerable improvements were observed in simulating the wave period that is underestimated by the SWAN model. The validation results showed the high performance of the calibrated SWAN model with the modified wind field with an average RMSE and scatter index of about 0.29 m and 31% respectively. Increasing the wind field higher than 25% gives comparable results but with significant overestimation of the storm conditions. Considerable underestimations were detected for significant wave height below 1 m even with using Wind Enhancement Factor (WEF). These results were also validated by comparison with previous studies. A 31-years (1988-2018) wave atlas was obtained from which the general description of wave climate along the Mediterranean Sea was explained. The high-resolution SWAN model allows us to study the wave climate and extreme wave conditions along the southeastern Mediterranean basin providing necessary information for the development of this coastal zone.
引用
收藏
页数:15
相关论文
共 48 条
[31]   Estimating changes of wind-wave activity in the arctic ocean in the 21st century using the regional climate model [J].
V. Ch. Khon ;
I. I. Mokhov ;
F. A. Pogarskii .
Doklady Earth Sciences, 2013, 452 :1027-1029
[32]   Typhoon Blend Wind Field Optimization Using Wave-Height Hindcasts [J].
Chen, Tzu-Chieh ;
Hu, Kai-Cheng ;
Wu, Han-Lun ;
Lu, Wei-Shiun ;
Chen, Wei-Bo ;
Chiang, Wen-Son ;
Hsiao, Shih-Chun .
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2025, 13 (02)
[33]   Feasibility of ERA5 reanalysis wind dataset on wave simulation for the western inner-shelf of Yellow Sea [J].
Feng, Xi ;
Chen, Xincong .
OCEAN ENGINEERING, 2021, 236
[34]   A comparison of Baltic Sea wave properties simulated using two modelled wind data sets [J].
Giudici, Andrea ;
Jankowski, Mikolaj Zbigniew ;
Mannikus, Rain ;
Najafzadeh, Fatemeh ;
Suursaar, Ulo ;
Soomere, Tarmo .
ESTUARINE COASTAL AND SHELF SCIENCE, 2023, 290
[35]   Typhoon-induced wind waves in the northern East China Sea during two typhoon events: the impact of wind field and wave-current interaction [J].
Li, Zhao ;
Li, Shuiqing ;
Hou, Yijun ;
Mo, Dongxue ;
Li, Jian ;
Yin, Baoshu .
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2022, 40 (03) :934-949
[36]   Typhoon-induced wind waves in the northern East China Sea during two typhoon events: the impact of wind field and wave-current interaction [J].
Zhao Li ;
Shuiqing Li ;
Yijun Hou ;
Dongxue Mo ;
Jian Li ;
Baoshu Yin .
Journal of Oceanology and Limnology, 2022, 40 :934-949
[37]   Long-Term Characterization of Sea Conditions in the East China Sea Using Significant Wave Height and Wind Speed [J].
ZHENG Kaiwen ;
OSINOWO Adekunle Ayodotun ;
SUN Jian ;
HU Wei .
Journal of Ocean University of China, 2018, 17 (04) :733-743
[38]   Long-Term Characterization of Sea Conditions in the East China Sea Using Significant Wave Height and Wind Speed [J].
Kaiwen Zheng ;
Adekunle Ayodotun Osinowo ;
Jian Sun ;
Wei Hu .
Journal of Ocean University of China, 2018, 17 :733-743
[39]   Long-Term Characterization of Sea Conditions in the East China Sea Using Significant Wave Height and Wind Speed [J].
Zheng, Kaiwen ;
Osinowo, Adekunle Ayodotun ;
Sun, Jian ;
Hu, Wei .
JOURNAL OF OCEAN UNIVERSITY OF CHINA, 2018, 17 (04) :733-743
[40]   Estimating sea level, wind direction, significant wave height, and wave peak period using a geodetic GNSS receiver [J].
Wang, Xiaolei ;
He, Xiufeng ;
Shi, Jian ;
Chen, Shu ;
Niu, Zijin .
REMOTE SENSING OF ENVIRONMENT, 2022, 279