Temperature monitoring in both adipose and aqueous tissues is important for guidance of thermal therapies in vivo. However, the proton resonant frequency shift for thermometry is only reliable in aqueous tissues. Temperature mapping in adipose has been explored using relaxation, but is limited by the accuracy and speed of the method used. MR Fingerprinting provides a framework for mapping differences due to multiple tissue properties simultaneously. This work explores adapting the MRF framework to allow temperature changes to be mapped directly in all tissue types, and simulates a dictionary update method that could offer improved temporal resolution over standard MRF.