The potential of passive steel embedded in concrete is a key influential factor on the value of the chloride corrosion threshold CT. When passive steel is cathodically polarized by nearby previously corroding steel the local value of CT could increase substantially slowing down the spread of corrosion. The potential-dependent threshold (PDT) effect was introduced in an initiation-propagation mathematical model that simulated a partially submerged reinforced concrete column in sea water. The program recalculated the potential distribution of the entire system at each time step. Results indicated that when PDT is ignored meaning a system with potential-independent threshold (PIT) the corrosion damage prediction can be overly conservative and may lead to structural overdesign. This important issue is however disregarded by present forecast models which assume only time invariant values of CT. Implementation of PDT is desirable but developing a mathematical model that forecasts the corrosion damage of an entire marine structure with a fully implemented PDT module may result in excessive computational complexity. This paper introduces an alternative less computationally demanding means of incorporating PDT as an added feature to a traditional PIT forecasting model. A library of PDT and PIT paired cases was computed using the previously described modeling approach by changing the model input parameters over a wide range of values. Short-term and long-term corrosion damage outputs with PIT and PDT were statistically analyzed to identify a time-dependent generic ?PDT correction factor to adjust the corrosion damage functions estimated with the traditional PIT approach. The results are presented toward establishing a next-generation corrosion forecasting model for steel in concrete.