FN Archimer Export Format
PT J
TI Global estimates of the energy transfer from the wind to the ocean, with emphasis on near‐inertial oscillations
BT 
AF Flexas, M. Mar
   Thompson, Andrew F.
   Torres, Hector S.
   Klein, Patrice
   Farrar, J. Thomas
   Zhang, Hong
   Menemenlis, Dimitris
AS 1:1;2:1;3:2;4:2;5:3;6:2,4;7:2;
FF 1:;2:;3:;4:;5:;6:;7:;
C1 California Institute of Technology Pasadena 91125 CA, USa
   Jet Propulsion LaboratoryCalifornia Institute of Technology Pasadena California, USA
   Woods Hole Oceanographic Institution Woods Hole Massachussets, USA
   Joint Institute for Regional Earth System Science and EngineeringUniversity of California Los AngelesLos AngelesCalifornia, USA
C2 CALTECH, USA
   JET PROP LAB, USA
   WHOI, USA
   UNIV CALIF LOS ANGELES, USA
IF 3.559
TC 36
UR https://archimer.ifremer.fr/doc/00509/62058/66232.pdf
   https://archimer.ifremer.fr/doc/00509/62058/66233.pdf
LA English
DT Article
DE ;surface fluxes;inertial oscillations;wind power;kinetic energy budget;global ocean model;MITgcm
AB Estimates of the kinetic energy transfer from the wind to the ocean are often limited by the spatial and temporal resolution of surface currents and surface winds. Here, we examine the wind work in a pair of global, very high‐resolution (1/48° and 1/24° ), MITgcm simulations in Latitude‐Longitude‐Cap configuration (LLC) that provide hourly output at spatial resolutions of a few kilometers and include tidal forcing. A cospectrum analysis of wind stress and ocean surface currents shows positive contribution at large scales (>300 km) and near‐inertial frequency, and negative contribution from mesoscales, tidal frequencies and internal gravity waves (IGWs). Larger surface kinetic energy fluxes are in the Kuroshio in winter at large scales (40 mW m−2) and mesoscales (‐30 mW m−2). The Kerguelen region is dominated by large scale (∼20 mW m−2), followed by inertial oscillations in summer (13 mW m−2) and mesoscale in winter (‐12 mW m−2). Kinetic energy fluxes from IGWs (‐0.1 to ‐9.9 mW m−2) are generally stronger in summer. Surface kinetic energy fluxes in the LLC simulations are 4.71 TW, which is 25%–85% higher than previous global estimates from coarser (1/6° –1/10° ) GCMs; this is likely due to improved representation of wind variability (6‐hourly, 0.14° , operational ECMWF). However, the low wind power input to the near‐inertial frequency band obtained with LLC (0.16 TW) compared to global slab models suggests that wind variability on time scales less than six hours and spatial scales less than 15 km are critical to better representing the wind power input in ocean circulation models. 
PY 2019
PD AUG
SO Journal Of Geophysical Research-oceans
SN 2169-9275
PU American Geophysical Union (AGU)
VL 124
IS 8
UT 000490464200022
BP 5723
EP 5746
DI 10.1029/2018JC014453
ID 62058
ER

EF