The western cherry fruit fly (CFF), Rhagoletis indifferens Curran, is a major pest of cherries. Because of a ‘zero tolerance' for damage, detecting CFF emergence is critical for successful control. To improve predictions of CFF emergence, historical observations on first emergence, rainfall, and temperature were analyzed. The amount of precipitation in March found to accelerate the first CFF emergence. In average, CFF emerges 9 days earlier in The Dalles than in Hood River, however, the heat unit (degree days, DD) were required 71DD more in The Dalles then in Hood River. A CFF phenology model was developed based on the time varying distributed delay concepts. The model can simulate the whole phenology system including post-diapause pupal development, adult emergence, egg-laying, and larval development in user friendly menu driven system. The model also has the capability to simulate the effect of control measures on the CFF population. The model predicts field population when compared to the trap catch records last few years, however, some essential biological information was needed for inclusion in this model to make it more biologically meaningful and reliable. From the simulation, a simple heat requirement values (DD) for the first emergence were estimated as 480DD in The Dalles and 550DD in Hood River for the site-specific prediction.