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


Selected Papers (2017-2020)

hindex=41 (Google Scholar); hindex=37 (Scopus)

  • Termini D., Moramarco T. (2020). Entropic model applications to identify cross-sectional flow effect on velocity distribution in a large amplitude mandering channel. Advances in Water Resources. In press
  • Vyas, J.K.,  Perumal M., Moramarco T.( 2020) Discharge Estimation Using Tsallis and Shannon Entropy Theory in Natural Channels.Water 2020, 12(6), 1786; 
  • Fulton J.W., Mason C.,  Eggleston J.,  Nicotra M., Chiu C.L., Henneberg M. ,  Best H., Cederberg J.,  Holnbeck S., Lotspeich R.,  Laveau C.,  Moramarco T., Jones M., Gourley J.,  Wasielewski D. (2020). Remote Sensing of Surface Velocity and River Discharge Using Radars and the Probability Concept at 10 USGS Streamgages. Remote Sens. 2020, 12(8), 1296;
  • Sinagra, M.; Nasello, C.; Tucciarelli, T.; Barbetta, S.; Massari, C.; Moramarco, T. (2020). A Self-Contained and Automated Method for Flood Hazard Maps Prediction in Urban Areas. Water, 12, 1266.
  • Bjerklie D. M.,  Fulton J. W.,  Dingman S. L.,  Canova M. G.,  Minear Justin T. &  Moramarco T., (2020). Fundamental Hydraulics of Cross‐sections in Natural Rivers: Preliminary Analysis of a Large Data Set of Acoustic Doppler Flow Measurements. Water Resources Research, 
  •  Manfreda S., Pizarro A., Moramarco T., Cimorelli L., Pianese D., Barbetta S. (2020) ‘Is it really advantageous the adoption of the flow-area rating curve?’, Journal of Hydrology, 
  • Alimenti F., Bonafoni S., Gallo E., Palazzi V., Vincenti Gatti R.,  Mezzanotte P., Roselli L., Zito D., Barbetta S., Corradini C., Termini D.  and  Moramarco T. (2020). Non-Contact Measurement of River Surface Velocity and Discharge Estimation with a Low-Cost Doppler Radar Sensor. IEEE Transactions on Geoscience and Remote Sensing. 10.1109/TGRS.2020.2974185
  • Achour, K., Meddi, M., Zeroual, A. Senna Bouabdelli, Pamela Maccioni & Tommaso Moramarco. (2020). Spatio-temporal analysis and forecasting of drought in the plains of northwestern Algeria using the standardized precipitation index. J Earth Syst Sci 129, 42  doi:10.1007/s12040-019-1306-3
  • Bhabagrahi Sahoo, Muthiah Perumal, Tommaso Moramarco, Silvia Barbetta & Soumyaranjan Sahoo (2020): A multilinear discrete Nash-cascade model for stage-hydrograph routing in compound river channels, Hydrological Sciences Journal, DOI:10.1080/02626667.2019.1699243
  • Moramarco, T., Barbetta, S., Bjerklie, D.M., Fulton, J.W., Tarpanelli, A. (2019). River Bathymetry Estimate and Discharge Assessment from Remote Sensing. Water Resources Research, DOI: 10.1029/2018WR024220
  • Di Cristo, C., Iervolino, M., Moramarco, T., Vacca, A., (2019). Applicability of Kinematic model for mud-flows: An unsteady analysis, Journal of Hydrology, 577, art. no. 123967
  • Massari, C., Maggioni, V., Barbetta, S., Brocca, L., Ciabatta, L., Camici, S., Moramarco, T., Coccia, G., Todini, E. (2019). Complementing near-real time satellite rainfall products with satellite soil moisture-derived rainfall through a Bayesian Inversion approach. Journal of Hydrology, 573, pp. 341-351.
  • Palladino, M.R., Barbetta, S., Camici, S., Claps, P., Moramarco, T. (2019) Impact of animal burrows on earthen levee body vulnerability to seepage. Journal of Flood Risk Management,
  • Tarpanelli, A., Camici, S., Nielsen, K., Brocca, L., Moramarco, T., Benveniste, J. (2019). Potentials and limitations of Sentinel-3 for river discharge assessment. Advances in Space Research,DOI: 10.1016/j.asr.2019.08.005
  • Morbidelli, R., Saltalippi, C., Flammini, A., Cifrodelli, M., Dari, J., Corradini, C., García-Marín, A.P., Moramarco, T. (2019). On the applicability of temporal stability analysis to raingauge network design. Hydrological Sciences Journal, DOI: 10.1080/02626667.2019.1645959
  • 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.
  • Tayfur, G., Singh, V.P., Moramarco, T., Barbetta, S. (2018). Flood hydrograph prediction using machine learning methods. Water (Switzerland), 10 (8), art. no. 968
  • Termini, D., Moramarco, T. (2018)Dip phenomenon in high-curved turbulent flows and application of entropy theory. Water (Switzerland), 10 (3)
  • 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 (2018). Hydrological Sciences Journal, 63 (2), pp. 169-196.
  • 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,
  • Moramarco T. Dingman S.L. (2017). On the theoretical velocity distribution and flow resistance in natural channels, Journal of Hydrology,
  • 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
  • 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/w902012
  • 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,