Research personnel
Grant recipient
+39 075 5014407
paolo.filippucci (at)
Via della Madonna Alta, 126 06128, Perugia




  • Filippucci, P., Brocca, L., Massari, C., Saltalippi, C., Wagner, W., Tarpanelli, A. (2021). Toward a self-calibrated and independent SM2RAIN rainfall product. Journal of Hydrology, 603(A), 126837,


  • Brocca, L., Massari, C., Pellarin, T., Filippucci, P., Ciabatta, L., Camici, S., Kerr, Y.H., Fernández-Prieto, D. (2020). River flow prediction in data scarce regions: soil moisture integrated satellite rainfall products outperform rain gauge observations in West Africa. Scientific Reports, 10, 12517, doi:10.1038/s41598-020-69343-x.
  • Filippucci P., Tarpanelli A., Massari C., Serafini A., Strati V., Alberi M., Raptis K.G.C., Mantovani F., Brocca L. (2020) Soil moisture as a potential variable for tracking and quantifying irrigation: a case study with proximal gamma-ray spectroscopy data. Advances in Water Resources, 136.
  • Massari, C., Brocca, L., Pellarin, T., Abramowitz, G., Filippucci, P., Ciabatta, L., Maggioni, V., Kerr, Y., Fernández-Prieto, D. (2020). A daily/25km short-latency rainfall product for data scarce regions based on the integration of the GPM IMERG Early Run with multiple satellite soil moisture products. Hydrology and Earth System Sciences, 24, 2687–2710, doi:10.5194/hess-24-2687-2020.


  • Brocca, L., Filippucci, P., Hahn, S., Ciabatta, L., Massari, C., Camici, S., Schüller, L., Bojkov, B., Wagner, W. (2019). SM2RAIN-ASCAT (2007-2018): global daily satellite rainfall from ASCAT soil moisture. Earth System Science Data, 11, 1583–1601,
  • Ciabatta, L., Camici, S., Massari, C., Filippucci, P., Hahn, S., Wagner, W., Brocca, L. (2020). Soil moisture and precipitation: the SM2RAIN algorithm for rainfall retrieval from satellite soil moisture. In: Levizzani V., Kidd C., Kirschbaum D., Kummerow C., Nakamura K., Turk F. (eds.) Satellite Precipitation Measurement. Advances in Global Change Research, vol 69. Springer, Cham, 1013-1027, ISBN: 978-3-030-35798-6 doi: 10.1007/978-3-030-35798-6_27.
  • Zaussinger, F., Dorigo, W., Gruber, A., Tarpanelli, A., Filippucci, P., Brocca, L. (2019). Estimating irrigation water use over the contiguous United States by combining satellite and reanalysis soil moisture data. Hydrology and Earth System Sciences, 23, 897-923,


  • Tarpanelli, A., Santi, E., Tourian, M.J., Filippucci, P., Amarnath, G., Brocca, L. (2018). Daily river discharge estimates by merging satellite optical sensors and radar altimetry through artificial neural network. IEEE Transactions on Geoscience and Remote Sensing, 57(1), 329-341, 
  • Brocca, L., Tarpanelli, A., Filippucci, P., Dorigo, W., Zaussinger, F., Gruber, A., Fernández-Prieto, D. (2018). How much water is used for irrigation? A new approach exploiting coarse resolution satellite soil moisture products. International Journal of Applied Earth Observation and Geoinformation, 73C, 752-766,


  • Tarpanelli A., Massari C., Ciabatta L., Filippucci, P., Amarnath G., Brocca L. (2017). Exploiting a constellation of satellite soil moisture sensors for accurate rainfall estimation, Advances in Water Resources, 108, 249-255,

The research activity mainly regards:

1) Use of Soil Moisture for Rainfall estimation;
2) Use of Soil Moisture for Irrigation estimation;
3) Use of high resolution remote sensing data for flood prediction;
5) Estimation of River Discharge from remote sensing data.

Paolo Filippucci received the M.S. degree in mechanical engineering with excellence, from the University of Perugia (Perugia), Italy, in 2015. From August  to December 2016, he carried out an Internship with the International Water Management Institute (IWMI) within the project “Enhancing the Benefits of Remote Sensing Data and Flood Hazard Model in Index-based Flood Insurance (IBFI) in South Asia, under Water Availability, Risk and Resilience (WR)”.
In January 2017 he received a Scholarship to carry research at the Research Institute of Geo-Hydrological Protection (IRPI) of the National Research Council (CNR) of Perugia in the area: "Earth Sciences". In November 2018 he start a doctorate course in Civil and Environmental Engineering at the Florence, Pisa and Perugia Universities. Then, in Janaury 2019, he received a Research Fellowship under the topic: " Use of remote sensing data for hydrological applications: monitoring of soil moisture and estimation of river discharge", at the IRPI.