n this paper a numerical approach for binary fluid mixtures is proposed. A
lattice Boltzmann algorithm for the continuity and the Navier-Stokes equations
is coupled to a finite-difference scheme for the convection-diffusion equation.
A free-energy is used to derive the thermodynamic quantities related to the
equilibrium properties of the system. Spurious velocities are reduced by using
a general stencil scheme for discretizing spatial derivatives.
Remote sensing of atmosphere is changing rapidly thanks to the development of high spectral resolution infrared space-borne sensors. The aim is to provide more and more accurate information on the lower atmosphere, as requested by the World Meteorological Organization (WMO), to improve reliability and time span of weather forecasts plus Earth's monitoring. In this paper we show the results we have obtained on a set of Infrared Atmospheric Sounding Interferometer (IASI) observations using a new statistical strategy based on dimension reduction. Retrievals have been compared to time-space colocated ECMWF analysis for temperature, water vapor and ozone.
Thermal phase separation process, which follows a sudden quench in the coexistence region, is con-
sidered for binary fluid mixtures. It is studied applying a new version of an hybrid lattice Boltzmann
model, where non-ideal terms of the pressure tensor, which takes into account thermal and concen-
tration gradient contribution, are included as a body force in the LBM equations, used to solve the
Navier-Stokes equations. The equations for concentration and temperature are solved using a finite dif-
ference scheme. Domains are observed to order preferably with interfaces parallel to the cold walls and
this behavior is more pronounced at higher viscosities. An intermediate regime with two characteristics
scales for the domain size, one close to the walls and the other in the middle of the system, has been
also observed.
