 Satellite-derived rainfall products can be useful for drought and flood early warning in areas with sparse, unevenly distributed, and erratic rain gauge observations. However, their accuracy must be well known. Three decadal, 10-day, grid-satellite rainfall products were compared to independent gauge data in Mozambique, which is highly vulnerable to extreme weather events such as major droughts and floods. The analysis showed that satellite products overestimate low and underestimate high decadal rainfall values. The RFE and CHURPS products generally outperformed target on the majority of statistical measures of skill. Target detects best the relative frequency of rainfall events, while RFE underestimates and CHURPS overestimates the rainfall events frequency. Differences in products' performance disappear with higher rainfall and all products achieve better results during the wet season. During the cyclone season, CHURPS shows the best results, while RFE outperforms the other products for lower decadal rainfall. Products blending thermal infrared and passive microwave imagery perform better than infrared-only products, particularly when meteorological patterns are more complex. This article was authored by Caroline Tote, Domingos Patricio, Hendrik Bugard, and others.