Precipitation patterns and rates change with global warming. These changes can be separately evaluated in fast and slow responses, the combination of the two are called apparent responses. The fast precipitation responses can be understood by energetics, while the slow precipitation responses scale with surface temperature change. Precipitation Driver and Response Model Intercomparison Project (PDRMIP) is a project investigating precipitation responses to separate climate drivers. One of their experiments, a tripling of atmospheric CH4, proved too weak of a perturbation to compare to the other experiments in the project. This thesis performs two stronger perturbations of CH4 and compare precipitation responses to a doubling of CO2, using one of the models in PDRMIP, CESM1 CAM4. Two configurations were used to separate responses in timescales, and each perturbation were run as an ensemble to reduce natural variability. Both surface temperature and apparent precipitation responses scale well with forcing for CH4. CO2 does not scale equally to CH4. The apparent surface temperature efficacy for methane was below 1, averaging at 0.96 ± 0.07, while the apparent precipitation efficacy was above 1, averaging at 1.24 ± 0.09. Fast precipitation changes has a negative correlation to atmospheric absorption, and the CO2 simulation exhibited the strongest atmospheric absorption as well as the strongest negative fast precipitation response.