In this study, we carried out a novel massive Lagrangian simulation
experiment derived from a global 1/48° tide-resolving numerical
simulation of the ocean circulation. This first-time twin experiment
enables a comparison between Eulerian (fixed-point) and Lagrangian
(along-flow) estimates of kinetic energy (KE), and the quantification of
systematic differences between both types of estimations. This
comparison represents an important step forward for the mapping of upper
ocean high-frequency variability from drifter database. Eulerian KE
rotary frequency spectra and band-integrated energy levels (e.g., tidal
and near-inertial) are considered as references, and compared to
Lagrangian estimates. Our analysis reveals that, apart from the
near-inertial band, Lagrangian spectra are systematically smoother,
e.g., with wider and lower spectral peaks compared to Eulerian
counterparts. Consequently, Lagrangian KE levels obtained from spectra
band integrations tend to underestimate Eulerian levels on average at
low-frequency and tidal bands. This underestimation is more significant
in regions characterized by large low-frequency KE. In contrast,
Lagrangian and Eulerian near-inertial spectra and energy levels are
comparable. Further, better agreements between Lagrangian and Eulerian
KE levels are generally found in regions of convergent surface
circulation, where Lagrangian particles tend to accumulate. Our results
demonstrate that Lagrangian estimates may provide a distorted view of
high-frequency variance. To accurately map near-surface velocity
climatology at high frequencies (e.g., tidal and near-inertial) from
Lagrangian observations of the Global Drifter Program, conversion
methods accounting for the Lagrangian bias need to be developed.