Sea surface warming and ocean-to-atmosphere feedback driven by large-scale offshore wind farms under seasonally stratified conditions

Nov 5, 2025·
Seo, H.
,
Sauvage, C.
Christoph Renkl
Christoph Renkl
,
Lundquist, J.K.
,
Kirincich, A.
· 0 min read
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Abstract
Offshore wind farms may induce changes in the upper ocean and near-surface atmosphere through coupled ocean-atmosphere feedbacks. Yet, the role of air-sea interactions mediated by offshore wind farms remains poorly understood. Using fully coupled ocean-atmosphere-wave model simulations for seasonally stratified conditions along the US East Coast, we show that simulated cumulative reductions in wind stress due to large-scale wind farm clusters lead to sea surface warming of 0.3° to 0.4°C and a shallower mixed layer. This warming drives upward heat fluxes, destabilizing the atmospheric boundary layer and enhancing wind stress, which partially offsets wake-induced wind deficits. These wake-ocean interactions influence near-surface meteorology and air-sea fluxes, suggesting that a coupled modeling approach may be necessary for assessing potential oceanographic impacts of offshore wind developments. However, ocean coupling exerts limited influence on winds at turbine-relevant heights or within downstream wakes, resulting in minimal impact on long-term energy. These findings suggest that models without ocean coupling may be adequate for wind energy applications.
Type
Publication
Science Advances, 11(45), eadw7603
publications
Christoph Renkl
Authors
Regional Weather and
Climate Modeling Group

I am a climate scientist with background in atmospheric science and physical oceanography. My research focuses on interactions of the atmosphere, ocean, and cryosphere within climate as an integrated system. The overarching goal of my research is to better understand the role of air-sea-ice interactions and their teleconnections in weather and climate variability across a range of spatial and temporal scales. I am particularly interested in combining coupled numerical models and observations using a variety of statistical tools to improve our understanding of the climate system, including questions of predictability, longterm trends, and extreme events.

Currently, I am a Deputy Professor in Meteorology at the University of Bonn where I am leading the research group Regional Weather and Climate Modeling.