In this paper the thermal convective instabilities of a binary nanofluid is theoretically investigated. In order to analyze a binary nanofluid, an addition factor is proposed under linear stability theory which is applied to the stability analysis of normal fluid. The factor describes the effect of nanoparticles on the convective instability of a basefluid. The Soret effect which represents the...

In warm seasons, convective precipitation initiation heavily depends on moisture near the surface [e.g., Dabberdt and Schlatter, 1996; Koch et al., 1997]. A necessary condition for an accurate prediction of convective rainfall is a good forecast of where and when convection will develop. Both prediction and understanding of convection is limited by the lack of high spatial and temporal resoluti...

We describe the results of three-dimensional (3D) numerical simulations designed to study turbulent convection in the stellar interiors, and compare them to stellar mixing-length theory (MLT). Simulations in 2D are significantly different from 3D, both in terms of flow morphology and velocity amplitude. Convective mixing regions are better predicted using a dynamic boundary condition based on t...

Fundamental barriers to advancing weather and climate diagnosis and prediction on time-scales from days to years are partly attributable to gaps in knowledge and the limited capability of contemporary operational and research numerical prediction systems to represent precipitating convection and its multiscale organization, particularly in the tropics. In this regard improvements in convective ...

Convective precipitation-localized, short-lived, intense, and sometimes violent-is at the root of challenges associated with observation, simulation, and prediction of precipitation. The understanding of long-term changes in convective precipitation characteristics and their role in precipitation extremes and intensity over extratropical regions are imperative to future water resource managemen...

[1] A new convective parameterization is introduced that can make use of a large variety of assumptions previously introduced in earlier formulations. The assumptions are chosen so that they will generate a large spread in the solution. We then show two methods in which ensemble and data assimilation techniques may be used to find the best value to feed back to the larger scale model. First, we...