I am trying to obtain accurate rainfall prediction from some model outputs that I have, For now the model outputs have a lot of BIAS and I am performing BIAS corrections using various methods and I am using some rainfall observations(GPM and TRMM) to obtain that.

My question is that are there any other atmospheric parameters other than rainfall that can be used for the BIAS correction of the model rainfall data.

I am trying to predict it on an hourly scale over the Indian region.

Thanks in advance.

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