The aim of this paper is to assess the influence of the aerodynamic resistance modelling in a two-layer Soil-Vegetation-Atmosphere-Transfer (SVAT) model, on the simulation of both surface fluxes and temperatures. For this purpose, a large review of the existing schemes was conducted and seven parameterisations were retained. They are all based on the first approximation of the turbulence theory, called the K-theory. All these parameterisations were implemented in the SiSPAT-RS (Simple Soil Plant Atmosphere Transfer and Remote Sensing) SVAT model, already calibrated on the experimental fields of the Alpilles-ReSeDA (Remote Sensing Data Assimilation) experiment. The impacts on the simulation of the surface transfers were analysed. It is shown that the different parameterisations lead to similar simulations of total surface fluxes, but to different soil and vegetation contributions, especially in high moisture conditions and low LAI values.