Detecting offshore wind farm-induced wind wake signatures on sea surface using MODIS data,Frontiers in Marine Science

当前位置： X-MOL 学术 › Front. Marine Sci. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Detecting offshore wind farm-induced wind wake signatures on sea surface using MODIS data
Frontiers in Marine Science ( IF 2.8 ) Pub Date : 2024-09-11 , DOI: 10.3389/fmars.2024.1465634
Weiye Yu , Pu Guo , Jianting Du , Zhan Lian

IntroductionOffshore wind farms (OWFs) generate extensive wind wakes in their leeward areas, which can induce marine upwelling and downwelling. These processes significantly affect marine stratification and ecosystems, leaving detectable patterns on the sea surface.Materials and MethodsBy utilizing MODIS data, we analyzed six representative OWFs worldwide to identify these wake signatures.ResultNotably, we observed pronounced signatures near an OWF located in the coastal waters of Jiangsu Province, China. Conversely, no coherent wake signatures were detected at other selected European and Chinese OWFs.DiscussionThis absence may be attributed to inactive upwelling, weak marine stratification, unsteady wind directions, and land-sea distribution. This research offers a fresh perspective on the environmental impacts of OWFs and, for the first time, underscores the potential of global gridded satellite dataset in detecting OWF-induced wind wake signatures.

更新日期：2024-09-11

点击分享查看原文

点击收藏

公开下载

阅读更多本刊新发论文