About The Author

Angelica Tarpanelli was born in Assisi, Italy, in 1981. She received her M.S. degree in Civil Engineering with excellence from the University of Perugia in Italy in April 2006. In September 2006 she received a Scholarship and successively a Research Fellowship to carry out research at the Research Institute of Geo-Hydrological Protection (IRPI) of the National Research Council (CNR) in Perugia under the project titled “Hydrological Monitoring of Extreme Events”. Since September 2012 she has been a Researcher at CNR-IRPI. In January 2014 she received her PhD in Hydraulic Engineering at University of Perugia. The title of her thesis is “Remote Sensing for Hydraulic Applications in Small-Medium Basins”.

Rainfall Estimation From The Bottom: The Power Of Soil Moisture

Rainfall is the main driver of the hydrological cycle. Its estimation is fundamental in many applications like climate monitoring, extreme weather prediction, and weather forecasting. Rainfall at the ground level is measured by instruments called rain gauges. However, the number of rain gauges is limited and unevenly distributed over the world. Alternatively, we can use