Research personnel
Director of Research
+39 075 5014404
+39 075 5014420
tommaso.moramarco (at)
Via della Madonna Alta, 126 06128, Perugia


Selected Papers (2015-2018)

  1. Barbetta, S., Coccia, G., Moramarco, T., Todini, E. (2018). Real-time flood forecasting downstream river confluences using a Bayesian approach Journal of Hydrology, 565, pp. 516-523.
  2. Tayfur, G., Singh, V.P., Moramarco, T., Barbetta, S. (2018).Flood hydrograph prediction using machine learning methods Water, 10 (8).
  3. Termini, D., Moramarco, T. (2018).. Dip phenomenon in high-curved turbulent flows and application of entropy theory. Water, 10 (3).
  4. Tauro, F., Selker, J., Van De Giesen, N., Abrate, T., Uijlenhoet, R., Porfiri, M., Manfreda, S., Caylor, K., Moramarco, T., Benveniste, J., Ciraolo, G., Estes, L., Domeneghetti, A., Perks, M.T., Corbari, C., Rabiei, E., Ravazzani, G., Bogena, H., Harfouche, A., Broccai, L., Maltese, A., Wickert, A., Tarpanelli, A., Good, S., Lopez Alcala, J.M., Petroselli, A., Cudennec, C., Blume, T., Hut, R., Grimaldia, S. 2018. Measurements and observations in the XXI century (MOXXI): Innovation and multi-disciplinarity to sense the hydrological cycle. Hydrological Sciences Journal, 63 (2), pp. 169-196.
  5. Barbetta S., Moramarco T., Perumal M. (2017). A Muskingum-based methodology for river discharge estimation and rating curve development under significant lateral inflow conditions. Journal of Hydrology,
  6. Moramarco T. Dingman S.L. (2017). On the theoretical velocity distribution and flow resistance in natural channels, Journal of Hydrology,
  7. Camici S., Brocca L., Moramarco T., (2017) Accuracy versus variability of climate projections for flood assessment in central Italy. Climatic Change, 2017, DOI 10.1007/s10584-016-18
  8. Moramarco T., Barbetta S., Tarpanelli, A., (2017). From surface flow velocity measurements to discharge 2 assessment by the entropy theory.   Water, 9(2), 120; doi:10.3390/w9020120
  9. Spada, E., Sinagra, M., Tucciarelli, T., Barbetta, S., Moramarco, T., Corato, G. (2017). Assessment of river flow with significant lateral inflow through reverse routing modeling. Hydrological Processes, in press
  10. Barbetta, S., Camici, S., Bertuccioli, P., Palladino, M. R., Moramarco, T. (2017). Refinement of seepage vulnerability assessment for different flood magnitude in National levee database of Italy. Hydrology Research, DOI: 10.2166/nh.2017.101
  11. Barbetta S., Coccia G., Moramarco T., Brocca L., Todini E. (2017) The multi temporal/multi-model approach to predictive uncertainty assessment in real-time flood forecasting, Journal of Hydrology, 551,555-576
  12. Termini, D., Moramarco, T. (2017).Application of entropic approach to estimate the mean flow velocity and manning roughness coefficient in a high-curvature flume. Hydrology Research, DOI: 10.2166/nh.2016.106
  13. Barbetta S., Coccia G., Moramarco T., Todini E. (2016). Case study: a real-time flood forecasting system with predictive uncertainty estimation for the Godavari River. Water, 8(10), 463; doi:10.3390/w8100463
  14. Ciabatta, L., Brocca, L., Massari, C., Moramarco, T., Gabellani, S., Puca, S., Wagner, W. (2016). Rainfall-runoff modelling by using SM2RAIN-derived and state-of-the-art satellite rainfall products over Italy. International Journal of Applied Earth Observation and Geoinformation, 48, 163-173, doi:10.1016/j.jag.2015.10.004.
  15. Ciabatta, L., Camici, S., Brocca, L., Ponziani, F., Stelluti, M., Berni, N., Moramarco, T. (2016). Assessing the impact of climate-change scenarios on landslide occurrence in Umbria region, Italy. Journal of Hydrology, in press, doi:10.1016/j.jhydrol.2016.02.007.
  16. Espejo-Pérez, A.J., Brocca, L., Moramarco, T., Giráldez, J.V., Triantafilis, J., Vanderlinden, K. (2016). Analysis of soil moisture dynamics beneath olive trees. Hydrological Processes, in press, doi:10.1002/hyp.10907.
  17. M. J. Tourian, A. Tarpanelli, O. Elmi, T. Qin, L. Brocca, T. Moramarco, N. Sneeuw  (2016) Spatiotemporal densification of river water level time series by multimission satellite altimetry, Water Resource Research, doi: 10.1002/2015WR017654
  18. Greco, M., Moramarco, T. Influence of bed roughness and cross section geometry on medium and maximum velocity ratio in open-channel flow (2016) Journal of Hydraulic Engineering, 142
  19. Moramarco T., Termini D. (2015) Entropic approach to estimate the mean flow velocity: experimental investigation in laboratory flumes, Environmental Fluid Mechanics, 03/2015; DOI: 10.1007/s10652-015-9403-6
  20. Zucco, G.Tayfur, G., Moramarco, T., (2015), Reverse Flood Routing in Natural Channels using Genetic Algorithm, Water Resource Management, 29 (12),  4241-4267
  21. Domenighetti A. Castellarin A. Tarpanelli A. MoramarcoT. (2015), Investigating the uncertainty of satellite altimetry product for hydrodynamic modelling. Hydrological Processes. DOI: 10.1002/hyp.10507
  22. Corato G, Moramarco T. Tucciarelli T. Fulton JW, (2015) Continuous Discharge Monitoring Using Non-contact Methods for Velocity Measurements: Uncertainty Analysis. Engineering Geology for Society and Territory-Volume 3, 617-621
  23. Barbetta, S., Camici S., Moramarco, T. (2015), A reappraisal of bridge piers scour vulnerability: a case study in the Upper Tiber River basin (central Italy). Journal of Flood Risk Management, in press, doi: 10.1111/jfr3.12130.
  24. Brocca, L., Massari, C., Ciabatta, L., Moramarco, T., Penna, D., Zuecco, G., Pianezzola, L., Borga, M., Matgen, P., Martínez-Fernández, J. (2015). Rainfall estimation from in situ soil moisture observations at several sites in Europe: an evaluation of SM2RAIN algorithm. Journal of Hydrology and Hydromechanics, doi:10.1515/johh-2015-0016.
  25. Tarpanelli A., Brocca L, Barbetta S, Lacava T, Faruolo M, Moramarco T., (2015), Integration of MODIS and Radar Altimetry Data for River Discharge Estimation from Space. Engineering Geology for Society and Territory-Volume 3, 607-610
  26. Maccioni, P., Kossida, M., Brocca, L., Moramarco, T. (2015). Assessment of the drought hazard in the Tiber River Basin in Central Italy and a comparison of new and commonly used meteorological indicators. Journal of Hydrologic Engineering, in press, doi:10.1061/(ASCE)HE.1943-5584.0001094.
  27. Massari, C., Brocca, L., Ciabatta, L., Moramarco, T., Gabellani, S., Albergel, C., de Rosnay, P., Puca, S., Wagner, W. (2015). The use of H-SAF soil moisture products for operational hydrology: flood modelling over Italy. Hydrology, 2(1), 2-22, doi:10.3390/hydrology2010002.