As illustrated by several literature case studies spread around di erent geographic locations, satellite precipi-\udtation estimates, obtained by means of consolidated algorithms, often result being considerably biased. Moreover\udobserved bias is related to geographic location since particular features such as latitude, presence of coastal areas\udand climatological and weather regime, a ect performances of satellite estimates. Bias adjusted products that\udmake use of global ground-based precipitation estimates, are available as well but still these datasets may show\uda relevant bias level. In this study a procedure to bias-adjust satellite precipitation estimates has been devel-\udoped for the local area of Sicily (Italy) based on rain-gauge network data. Considering that the latency time of\udsatellite precipitation estimates is nowadays very short and close to that of satellite data availability, it has been\udinvestigated the possibility of designing a procedure that able to apply the bias reduction to satellite estimates\udwithout timely corresponding rain-gauge network data. Therefore, in order to obtain a tool that make available\uda rst precipitation map estimate, the emphasis has been put on data readiness instead of achieving the best\udcorrection result. The developed procedure demonstrate to be able to improve the overall bias performances\udof examined satellite precipitation data. It is expected that such an approach increases its suitability as the\uddeveloping of satellite estimates algorithms leads to better a description of rainfall dynamics.
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