LightGBMRegressor model update with new data?

I have models trained on with LightGBMRegressor for time series forecasting problem. I'd like to know how I can make use of LGBM's data update feature if any exists such that when I get new data every month I'd be able to change the model parameters based on the new data without retraining. I looked into refit method but I'm still unsure how to make use of that because that method is apparently not supported in regression tasks. My models are saved as pkl files that contains the trained parameters. Has anyone dealt with similar issues before? Thanks!