The Global Precipitation Measurement (GPM) mission will improve satellite rainfall estimation capabilities by providing microwave observations approximately every three hours. Several satellites with different microwave radiometer and radar capabilities will be used, so we plan to develop an algorithm with the flexibility to account for all instrumental scenarios. We will continue to use the Goddard Profiling Algorithm (GPROF) framework as we have done for the TMI land rainfall algorithm, as GPROF has the required flexibility. GPROF also has the capability of providing error estimates, and this will be even more important for GPM because the errors will be highly dependent on the instrument. Chris Kummerow is coordinating the effort to develop the global algorithm with associated error estimates; our focus here is on the land algorithm component. We present the current state of our GPROF land algorithm and the updates that will be needed for GPM.