On the estimate of maximum wave height from CFOSAT mission : Thanks to SUMOS field campaign ...

• Main Authors: Aouf, Lotfi, Wang, Jiuke
• Format: Conference Object
• Language: unknown
• Published: CNES 2023
• Subjects: New Zealand; Campbell Island; Merle; North Atlantic
• Online Access: https://dx.doi.org/10.24400/527896/a03-2023.3880; https://ostst.aviso.altimetry.fr/programs/abstracts-details.html?tx_ausyclsseminar_pi2[objAbstracte]=3880&cHash=X

Dangerous sea forecasting remains a crucial topic for several sectors of activity such as maritime navigation and the protection of goods and people in the global ocean. The work of Le Merle et al (2021) has shown that the SWIM instrument is capable of providing good directional wave spectra from which we can calculate parameters that are sensitive to the detection of rogue waves, such as frequency spreading, Crest to Trough Correlation (CTC) and the two-dimensional Benjamin-Feir Index (BFI2D). The aim of this work is to implement a rogue wave indicator based on an estimation of the maximum wave height using a deep learning method. The first part of this work consists in developing a deep learning model that can be used to retrieve the maximum wave height along track of SWIM nadir. The model training is carried out using buoy wave data from the North Atlantic (Brittany and gulf of Biscay) and Campbell island off shore of southern New Zealand. The input parameters for the training model are Significant wave ...