A local post-retrieval tool for satellite precipitation estimates

As illustrated by several literature case studies spread around di erent geographic locations, satellite precipi- tation estimates, obtained by means of consolidated algorithms, often result being considerably biased. Moreover observed bias is related to geographic location since particular features such as latitude, presence of coastal areas and climatological and weather regime, a ect performances of satellite estimates. Bias adjusted products that make use of global ground-based precipitation estimates, are available as well but still these datasets may show a relevant bias level. In this study a procedure to bias-adjust satellite precipitation estimates has been devel- oped for the local area of Sicily (Italy) based on rain-gauge network data. Considering that the latency time of satellite precipitation estimates is nowadays very short and close to that of satellite data availability, it has been investigated the possibility of designing a procedure that able to apply the bias reduction to satellite estimates without timely corresponding rain-gauge network data. Therefore, in order to obtain a tool that make available a rst precipitation map estimate, the emphasis has been put on data readiness instead of achieving the best correction result. The developed procedure demonstrate to be able to improve the overall bias performances of examined satellite precipitation data. It is expected that such an approach increases its suitability as the developing of satellite estimates algorithms leads to better a description of rainfall dynamics