A local post-retrieval tool for satellite precipitation estimates

Antonia Incontrera, Leonardo Noto, Francesco Lo Conti, Antonino Maltese, Christopher M. U. Neale

Risultato della ricerca: Otherpeer review


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. Moreoverobserved bias is related to geographic location since particular features such as latitude, presence of coastal areasand climatological and weather regime, a ect performances of satellite estimates. Bias adjusted products thatmake use of global ground-based precipitation estimates, are available as well but still these datasets may showa 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 ofsatellite precipitation estimates is nowadays very short and close to that of satellite data availability, it has beeninvestigated the possibility of designing a procedure that able to apply the bias reduction to satellite estimateswithout timely corresponding rain-gauge network data. Therefore, in order to obtain a tool that make availablea rst precipitation map estimate, the emphasis has been put on data readiness instead of achieving the bestcorrection result. The developed procedure demonstrate to be able to improve the overall bias performancesof examined satellite precipitation data. It is expected that such an approach increases its suitability as thedeveloping of satellite estimates algorithms leads to better a description of rainfall dynamics.
Lingua originaleEnglish
Numero di pagine0
Stato di pubblicazionePublished - 2012

All Science Journal Classification (ASJC) codes

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  • ???subjectarea.asjc.3100.3104???
  • ???subjectarea.asjc.1700.1706???
  • ???subjectarea.asjc.2600.2604???
  • ???subjectarea.asjc.2200.2208???


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