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In recent years, the Generalised Quasilinear (GQL) approximation has been developed and its efficacy tested against purely quasilinear (QL) approximations (Marston et al. 2016). GQL systematically interpolates between QL and fully non-linear dynamics by employing a generalised Reynolds decomposition for dynamics in one spatial direction. Here, we present an exact statistical closure for the GQL equations on the doubly periodic $\beta$-plane. Closure is achieved at second order using a generalised cumulant approach which we term GCE2. We demonstrate that the GCE2 equations systematically interpolate the statistics between those corresponding to CE2 and fully non-linear systems. GCE2 is shown to yield improved performance over statistical representations of purely QL dynamics (CE2). Hence, GCE2 enables Direct Statistical Simulation of complex mean flows that do not entirely fall within the remit of pure QL theory., Comment: 16 pages, 9 figures

It is widely believed that statistical closure theories for dynamical systems provide statistics equivalent to those of the governing dynamical equations from which the former are derived. Here, we demonstrate counterexamples in the context of the widely used mean-field quasilinear (QL) approximation applied to 2D fluid dynamical systems. We compare statistics of QL numerical simulations with those obtained by direct statistical simulation via a cumulant expansion closed at second order (CE2). We observe that, though CE2 is an exact statistical closure for QL dynamics, its predictions disagree with the statistics of the QL solution for identical parameter values. These disagreements are linked to instabilities of the second cumulant dynamics within CE2 that are unavailable in the QL equations.

We review the recent progress in understanding the jet structures on exoplanets as well as on and inside the Sun. The emphasis is on the more robust aspects of observation and numerical modeling that relate directly to jets. For the exoplanets, the primary focus is on hot-Jupiters since many more observations are available for them presently than other types of exoplanets. Because not much is known about the morphology and strength of the jets on exoplanets, there is currently not much agreement. In contrast, the picture is very different for the Sun. In fact, the jet structure of the Sun is arguably one of the best known jet structures of all the planets and stars, due to the fact that Sun's disk is resolved and its interior can be probed with helioseismology. A discussion of several critical issues pertaining to the modeling of jets on exoplanets and the Sun is presented, along with a brief outlook on the subject.

We review the recent progress in understanding the jet structures on exoplanets as well as on and inside the Sun. The emphasis is on the more robust aspects of observation and numerical modeling that relate directly to jets. For the exoplanets, the primary focus is on hot-Jupiters since many more observations are available for them presently than other types of exoplanets. Because not much is known about the morphology and strength of the jets on exoplanets, there is currently not much agreement. In contrast, the picture is very different for the Sun. In fact, the jet structure of the Sun is arguably one of the best known jet structures of all the planets and stars, due to the fact that Sun's disk is resolved and its interior can be probed with helioseismology. A discussion of several critical issues pertaining to the modeling of jets on exoplanets and the Sun is presented, along with a brief outlook on the subject.

We review progress that has been made in utilizing one form of Direct Statistical Simulation (DSS) to describe geophysical and astrophysical flows that are anisotropic and inhomogeneous. We first explain the approach, which is based upon a systematic and conservative expansion of the equations of motion for low-order equal-time cumulants. We place the method into context with other statistical procedures. Truncation at second order in the hierarchy of cumulants is equivalent to retaining the interaction between zonal mean flows and eddies. Eddy-eddy interactions appear at higher orders, but care must be taken to keep the higher-order expansions realizable with non-negative probability distribution functions. The strengths and weaknesses of different levels of approximation are assessed with numerical experiments on the fiducial problem of a stochastically forced jet on a spherical surface. The results give an insight into the mechanisms that may control jet spacing and strength, and indicate interesting avenues for future research., 22 pages and 9 figures. Updated references, typos corrected, Figure 1 clearer