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Is there spectral nudging (or something similar) in MPAS-A?


I've used WRF before and am now using MPAS-A.

In WRF, in order to prevent the model from shifting the forcing data during simulation, spectral nudging (indirect assimilation) can be turned on to ensure that the large-scale circulation field simulated by the model is consistent with the forcing data.

When MPAS performs global simulations (including all simulations with the same grid size, and simulations with inconsistent grid sizes), it only needs to provide initial conditions and static geographic data, then how to ensure that the simulation does not deviate from the real large-scale circulation information during the simulation ( such as ERA5 data) too much? (if I want to run simulations for months or even years)