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It has been long known that the addition of linear friction on two-dimensional Navier-Stokes (NS) turbulence, often referred to as Ekman-Navier-Stokes (ENS) turbulence, induces strong intermittent fluctuations on small-scale vorticity. Such fluctuations are strong enough to be measurable at low-order statistics such as the energy or enstrophy spectrum. Simple heuristics lead to corrections in the spectrum which are proportional to the linear friction coefficient. In this work, we study the spectral correction by the implementation of a GPU-accelerated high-resolution numerical simulation of ENS covering a large range of Reynolds numbers. Among our findings, we highlight the importance of non-locality when comparing the expected results to the measured ones.

We study the temporal fluctuations of the flux of surface potential energy in Surface Quasi-Geostrophic (SQG) turbulence. By means of high-resolution, direct numerical simulations of the SQG model in the regime of forced and dissipated cascade of temperature variance, we show that the instantaneous imbalance in the energy budget originates a subleading correction to the spectrum of the turbulent cascade. Using a multiple-scale approach combined with a dimensional closure we derive a theoretical prediction for the power-law behavior of the corrections, which holds for a class of turbulent transport equations known as {\alpha}-turbulence. Further, we develop and apply a method to disentangle the equilibrium and non-equilibrium contribution in the instantaneous spectra, which can be generalized to other turbulent systems.