Spatial large-eddy simulations of contrail formation in the wake of an airliner

Abstract:

Contrails and contrail-cirrus are the most uncertain contributors to aviation radiative forcing. In order to reduce this uncertainty one needs to gain more knowledge on the physicochemical processes occurring in the aircraft plume, which eventually lead to the transformation of contrails into cirrus. To that end, the accurate prediction of the number of activated particles and their spatial and size distributions at the end of the jet regime may be helpful to initialize simulations in the following vortex regime.

We present the results from spatial large-eddy simulations (LES) of contrail formation in the near-field wake of a generic (but full-scale) airliner that is representative of those used in long-haul flights in current fleets. The flow around the aircraft has been computed using a RANS code taking into account the full geometry that include the engines and the aerodynamic set-up for cruise conditions. The data have been reconstructed at a plane closely behind the trailing edge of the wing and used as inflow boundary conditions for the LES.

We employ fully compressible 3D LES coupled to Lagrangian microphysical module that tracks parcels of ice particles individually. The ice microphysical model is simple yet it contains the basic thermodynamic ingredients to model soot activation and water vapor deposition. Compared to one-dimensional models or even RANS, LES allow for more accurate predictions of the mixing between exhaust and ambient air. Hence, the number of activated particles and the ice growth rate can be also determined with higher accuracy. This is particularly crucial for particles located at the edge of the jet that experience large gradients of temperature and humidity. The results of the fully coupled LES (where the gas phase and the particles are solved together) are compared to offline simulations where the ice microphysics model is run using thermodynamic data from pre-calculated particle trajectories extracted from inert LES (where ice microphysics has been switched off).