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okay i hope you can see the the presentation so letamp;#39;s start so good morning to everybody iamp;#39;m flavio opinion a researcher at sema foundation and this is in this presentation i will show you what have been done in the recent years in the developed development of rainfall data products and consequently on improving andrological modeling the idea that all these work is that the multi-sensor data fusion proved that combining data from languages rain gauges and rainbow remote travels represents the best way to obtain an enhanced and more reliable evaluation of a quantitative precipitation estimation that improve hydrological modelling for river discharge estimation the information provided by the remote sensor may be used to condition the information from languages which is limited limited in the terms of special representativeness in this way an estimate of the rainfall field containing a more realistic special structure constrains the rain gauge data can be produced the pre