The analysis presented here focuses on basic parameters that are stable and well-suited to comparison with station data or model estimates. These include means, frequency of precipitation, and 95th percentile values. The frequency of no precipitation is used as a measure of dryness. Overall, there is fair consistency between the 1DD and TMPA datasets. One result of the comparison confirms that several of the parameters, including frequency of precipitation and 95th percentile values are sensitive to the spatial scale. In addition to enhancing our confidence in the results previously reported, this comparison allows us to examine contrasts in behavior for the same region across the seasonal cycle. For example, the TMPA tends to have drier estimates than the 1DD at higher latitudes, ~40-50°, particularly in the winter hemisphere where the microwave algorithms currently lack sensitivity to the reduced precipitation signals. These results will be compared to the previous Version 6 TMPA and Version 1.1 1DD comparison results. Many of the differences between versions can be explained by the changes in input data for each of the data sets, including upgrades to the same consistent monthly gauge analysis in both data sets and corrections to deficient AMSU precipitation estimates in the TMPA.