|
|
|
|
|
Jiao Shi, Tianyun Su, Xinfang Li, Fuwei Wang, Jingjing Cui, Zhendong Liu and Jie Wang
Significant wave height (SWH) is a key parameter for monitoring the state of waves. Accurate and long-term SWH forecasting is significant to maritime shipping and coastal engineering. This study proposes a transformer model based on an attention mechanis...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lingxiao Zhao, Zhiyang Li, Junsheng Zhang and Bin Teng
In recent years, wave energy has gained attention for its sustainability and cleanliness. As one of the most important parameters of wave energy, significant wave height (SWH) is difficult to accurately predict due to complex ocean conditions and the ubi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuyi Zhou, Brandon J. Bethel, Wenjin Sun, Yang Zhao, Wenhong Xie and Changming Dong
Wave forecasts, though integral to ocean engineering activities, are often conducted using computationally expensive and time-consuming numerical models with accuracies that are blunted by numerical-model-inherent limitations. Additionally, artificial ne...
ver más
|
|
|
|
|
|
|
|
|
|
|
Min Roh, Sang-Myeong Oh, Pil-Hun Chang, Hyun-Suk Kang and Hyung-Suk Kim
A regional wave forecasting system in East Asia, including the Korean Peninsula, was built based on WAVEWATCH III using offshore wind forecast data from the Global Data Assimilation Prediction System. The numerical simulations were performed on the sensi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chenghan Luo, Shaoping Shang, Yanshuang Xie, Zhigang He, Guomei Wei, Feng Zhang, Lei Wang and Xueding Li
The terrain, such as Taiwan Island, have been shown to have complex effects on typhoons and the associated typhoon waves. Terrain effects change with typhoon tracks. In this study, three types of typhoon tracks (northern, middle and southern) were define...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xingkun Xu, Joey J. Voermans, Qingxiang Liu, Il-Ju Moon, Changlong Guan and Alexander V. Babanin
While sea spray can significantly impact air?sea heat fluxes, the effect of spray produced by the interaction of wind and waves is not explicitly addressed in current operational numerical models. In the present work, the thermal effects of the sea spray...
ver más
|
|
|
|
|
|
|
|
|
|
|
Montserrat Sacie, Matilde Santos, Rafael López and Ravi Pandit
One of the most promising solutions that stands out to mitigate climate change is floating offshore wind turbines (FOWTs). Although they are very efficient in producing clean energy, the harsh environmental conditions they are subjected to, mainly strong...
ver más
|
|
|
|
|
|
|
|
|
|
|
Caleb T. Lodge and Robert J. Weaver
Efficiency in storm surge modeling is crucial for forecasting coastal hazards in real-time. While computation cost may not be the main concern for organizations with ample resources, the robustness of forecasts generated by most parties are restricted by...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hengyu Hu, Zhengwei He, Yanfang Ling, Junmin Li, Lu Sun, Bo Li, Junliang Liu and Wuyang Chen
In this paper, a calibration algorithm for forecasting the significant wave height (SWH) in nearshore areas is proposed, based on artificial neural networks. The algorithm has two features: first, it is based on SOM-BRFnn (self-organizing map?radial basi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lei Han, Qiyan Ji, Xiaoyan Jia, Yu Liu, Guoqing Han and Xiayan Lin
Deep learning methods have excellent prospects for application in wave forecasting research. This study employed the convolutional LSTM (ConvLSTM) algorithm to predict the South China Sea (SCS) significant wave height (SWH). Three prediction models were ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alberto Fortelli, Alessandro Fedele, Giuseppe De Natale, Fabio Matano, Marco Sacchi, Claudia Troise and Renato Somma
The coastline of the Gulf of Naples, Italy, is characterized by a series of infrastructures of strategic importance, including touristic and commercial ports between Pozzuoli to Sorrento, main roads, railways, and urban areas. Furthermore, the Gulf of Na...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuang Li, Peng Hao, Chengcheng Yu and Gengkun Wu
Significant wave height (SWH) prediction plays an important role in marine engineering areas such as fishery, exploration, power generation, and ocean transportation. For long-term forecasting of a specific location, classical numerical model wave height...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ting Yu and Jichao Wang
Mean wave period (MWP) is one of the key parameters affecting the design of marine facilities. Currently, there are two main methods, numerical and data-driven methods, for forecasting wave parameters, of which the latter are widely used. However, few st...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mengning Wu, Christos Stefanakos and Zhen Gao
Short-term wave forecasts are essential for the execution of marine operations. In this paper, an efficient and reliable physics-based machine learning (PBML) model is proposed to realize the multi-step-ahead forecasting of wave conditions (e.g., signifi...
ver más
|
|
|
|
|
|