caa a22 4500 605546479 CHVBK 20210128100941.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s10236-015-0834-x doi (NATIONALLICENCE)springer-10.1007/s10236-015-0834-x Interannual variability of wind power input to near-inertial motions in the North Atlantic [Elektronische Daten] [Tina Dippe, Xiaoming Zhai, Richard Greatbatch, Willi Rath] Near-inertial oscillations are ubiquitous in the ocean and are believed to play an important role in the global climate system. Studies on wind power input to near-inertial motions (WPI) have so far focused primarily on estimating the time-mean WPI, with little attention being paid to its temporal variability. In this study, a combination of atmospheric reanalysis products, a high-resolution ocean model and linear regression models are used to investigate for the first time the relationship between interannual variability of WPI in the North Atlantic and the North Atlantic Oscillation (NAO), motivated by the idea that the NAO serves as a good indicator for storminess over the North Atlantic and that storms account for the majority of WPI. It is found that WPI at low and high latitudes of the North Atlantic is significantly correlated to the NAO, owing to its influence on the configuration of the storm track. Positive (negative) NAO conditions are associated with increased WPI in the subpolar (subtropical) ocean. Basin-wide WPI is found to be significantly enhanced under negative NAO conditions, but is not significantly different from the climatological average under positive NAO conditions. This indicates a weak inverse relationship between basin-wide WPI and the NAO, contradicting intuitive expectations. The asymmetric impact of the NAO on basin-wide WPI results from greater sensitivity of WPI to near-inertial wind forcing at lower latitudes due to the variation of the Coriolis parameter with latitude. Springer-Verlag Berlin Heidelberg, 2015 Near-inertial currents nationallicence North Atlantic Oscillation nationallicence Wind power input nationallicence Interannual variability nationallicence Ocean modelling nationallicence Statistical modelling nationallicence Dippe Tina GEOMAR | Helmholtz Centre for Ocean Research Kiel, Kiel, Germany aut Zhai Xiaoming Centre for Ocean and Atmospheric Sciences, School of Environmental Sciences, University of East Anglia, Norwich, UK aut Greatbatch Richard GEOMAR | Helmholtz Centre for Ocean Research Kiel, Kiel, Germany aut Rath Willi GEOMAR | Helmholtz Centre for Ocean Research Kiel, Kiel, Germany aut Ocean Dynamics Springer Berlin Heidelberg 65/6(2015-06-01), 859-875 1616-7341 65:6<859 2015 65 10236 https://doi.org/10.1007/s10236-015-0834-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10236-015-0834-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Dippe Tina GEOMAR | Helmholtz Centre for Ocean Research Kiel, Kiel, Germany aut NATIONALLICENCE 700 1- Zhai Xiaoming Centre for Ocean and Atmospheric Sciences, School of Environmental Sciences, University of East Anglia, Norwich, UK aut NATIONALLICENCE 700 1- Greatbatch Richard GEOMAR | Helmholtz Centre for Ocean Research Kiel, Kiel, Germany aut NATIONALLICENCE 700 1- Rath Willi GEOMAR | Helmholtz Centre for Ocean Research Kiel, Kiel, Germany aut NATIONALLICENCE 773 0- Ocean Dynamics Springer Berlin Heidelberg 65/6(2015-06-01), 859-875 1616-7341 65:6<859 2015 65 10236