A double-layer parallelization for model calibration on HPC systems is developed.
A parallelized model as the lower-layer is managed using the HPC scheduler APIs.
Simulations with different parameters as the upper-layer run in parallel on an HPC.
The method significantly improves the efficiency of hydrological model calibration.
The influence of parameters on simulation results can be easily analyzed.