 This paper examined the accuracy of the TRMM multisatellite precipitation analysis, TMPA, in estimating precipitation rates in the central Andes region of Peru and Bolivia. It found that the TMPA product had large biases in both regions when compared to ground measurements. Additionally, the intensity of strong precipitation events was underestimated in La Paz, Bolivia. The authors also investigated how the TMPA estimate quality changed as the temporal resolution increased. They found that the correlation between TMPA estimates and ground data increased significantly and almost linearly, with temporal aggregation. Furthermore, they proposed a method to blend TMPA estimates with daily precipitation gauge measurements. Finally, they discussed the limitations of using TMPA estimates in the central Andes, such as sensor-specific algorithm aspects and the TMPA processing scheme. This article was authored by MLM Shield, M. Rohrer, C.H. Huggel, and others.