Global Wavenumber Spectrum with Corrections for Altimeter High-Frequency Noise

Abstract

he altimetry wavenumber spectra of sea surface height (SSH) provide a unique dataset for testing of geostrophic turbulence. While SSH spectral slopes of k?11/3 and k?5 are expected from theories and numerical simulations, the altimetry spectra from the original unfiltered and instrument noise?corrected data often are too shallow, falling between k?2 and k?3. In this study, the possibility that the flattened spectral slopes are partly due to contamination by unresolved high-frequency (<10 days) motions is tested. A spatiotemporal filter based on empirical orthogonal function expansion (EOF) is used to remove the temporally incoherent signals. The resulting spectral slopes are much steeper than in the previous studies. Over 70% of the revised global spectral estimates, excluding the tropics, are above k?3. Moreover, in high energy regions like the Gulf Stream and Kuroshio, the spectral slopes are about k?5, which is consistent with the classical quasigeostrophic (QG) turbulence. The spectral slopes are validated with the eddy kinetic energy (EKE) spectra from shipboard acoustic Doppler current profiler (ADCP) measurements in the high and low energy regions.