Two large-scale precipitation datasets, one produced by the Global Precipit
ation Climatology Project (GPCP) and the other by the Climate Prediction Ce
nter of the National Weather Service, and called Climate Prediction Center
Merged Analysis of Precipitation (CMAP), were compared. Both datasets blend
satellite and gauge estimates of precipitation. And while the latter has i
ts heritage in the GPCP, different analysis procedures and some additional
types of input data used by CMAP yielded different values. This study used
the error characteristics of the data to assess the significance of the obs
erved differences. Despite good spatial and temporal correlations between t
he two fields some of the observed differences were significant at the 95%
level. These were traced to the use of some different input data such as th
e use by CMAP of atoll gauges in the tropical Pacific and gauges uncorrecte
d for wetting evaporation and aerodynamic effects. The former impacts the t
ropical ocean rain amounts and the latter is particularly noticeable in the
Northern Hemisphere land areas. Also, the application of these datasets to
the validation of atmospheric general circulation models is discussed.