The community is increasingly analysing the uncertainty in crop model predictions.

We propose a method to quantify impact of uncertain observations during calibration.

LHS and simplex method were used propagate uncertainty from observations to outputs.

The uncertainty in observations greatly affected calibration and model predictions.

Frameworks are needed for integrated analysis of the different sources of uncertainty.