AUTHOR=Yu Weiye , Guo Pu , Du Jianting , Lian Zhan TITLE=Detecting offshore wind farm-induced wind wake signatures on sea surface using MODIS data JOURNAL=Frontiers in Marine Science VOLUME=11 YEAR=2024 URL=https://www.frontiersin.org/journals/marine-science/articles/10.3389/fmars.2024.1465634 DOI=10.3389/fmars.2024.1465634 ISSN=2296-7745 ABSTRACT=Introduction

Offshore 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 Methods

By utilizing MODIS data, we analyzed six representative OWFs worldwide to identify these wake signatures.

Result

Notably, 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.

Discussion

This 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.