| Title | Surface vector fields estimation using soft computing and remote sensing data at an open water marine renewable test site |
|---|---|
| ID_Doc | 15893 |
| Authors | Ren, L; Miao, JM; Hartnett, M |
| Title | Surface vector fields estimation using soft computing and remote sensing data at an open water marine renewable test site |
| Year | 2020 |
| Published | |
| Abstract | Galway Bay has one of the world's few open water marine renewable test sites and so is of national and international interest. A high frequency radar system has been deployed in Galway Bay area to monitor near real time surface currents and waves since July 2011. In this research, a soft computing approach was applied to estimate surface vector fields using the observed radar data. Results indicate that soft computing is a novel and promising method to estimate surface vector fields. It provides a potential way to obtain useful information of coastal water body for marine renewable energy development and assessment. (C) 2019 Published by Elsevier Ltd. |
| https://doi.org/10.1016/j.egyr.2019.11.022 |
No similar articles found.