Operational wildland fire propagation models typically are uncoupled from the wind field or rely solely on estimations from an atmospheric model and/or meteorological observations. This leads to a frozen wind field with a high degree of uncertainty, and therefore to results drifting from the ground truth. On the other hand, a fully-coupled model is not viable for operational use due to the enormous computing effort required. This article proposes the use of real-time measurements from a drone swarm to enhance the results of a one-way coupled physics-based model (FireProM-F) to mimic the two-way coupling of fire and atmosphere. In the absence of actual measurements, synthetic data is used at the early stages of this research. The latter is generated using the WFDS levelset model with two-way fire-atmosphere coupling at various phases of the fire. Finally, the 'measured' wind field will be integrated into the target model to determine its effect on the outcomes.