The paper presents a worst-case touchdown condition analysis of an autolanded aircraft under crosswind. Aircraft dynamics are generally considered altitude- and speed-dependent and, thus, well covered inside the linear parameter-varying framework. Following a specific parameter trajectory tracking the instrument landing system's guidance signal, its dynamics amount to a finite horizon linear time-varying (LTV) system. This allows to explicitly respect the varying dynamics during the flare maneuver, changing control laws, and the finite horizon of the approach using a finite horizon LTV analysis. A time-varying trajectory uncertainty is proposed to respect the effects of different environmental conditions and aircraft parameters in the analysis. By representing the uncertainty as an integral quadratic constraint (IQC), recent advances in the worst-case gain analysis of finite horizon LTV systems can be utilized. The analysis condition is based on a parameterized Riccati differential equation, which leads to an efficiently solvable nonlinear optimization problem. Applying the robust LTV framework, worst-case touchdown conditions of an autolanded large airliner under crosswind wind are calculated. The obtained results are evaluated against Monte Carlo analyses of the nonlinear model.