Peer Reviewed Articles

  1. Perrini, P., L. Cea, F. Chiaravalloti, S. Gabriele, S. Manfreda, M. Fiorentino, A. Gioia, V. Iacobellis, A Runoff-On-Grid approach to embed hydrological processes in shallow water models, Water Resources Research, 2024.
  2. Albertini, C., A. Gioia, V. Iacobellis, G. P. Petropoulos and S. Manfreda, Assessing Multi-source Random Forest Classification and Robustness of Predictor Variables in Flooded Areas MappingRemote Sensing Applications: Society and Environment, (under Review) 2024.
  3. Manfreda, S., D. Miglino, K. C. Saddi, S. Jomaa, A. Etner, M. Perks, D. Strelnikova, S. Peña-Haro, I. Maddock, F. Tauro, S. Grimaldi, Y. Zeng, G. Gonçalves, T. Bogaard, T. van Emmerik, M. Bussettini, S. Mariani, G. Marchetti, B. Lastoria, B. Su, M. Rode, Advancing river monitoring using image-based techniques: challenges and opportunities, Hydrological Sciences Journal, (https://doi.org/10.1080/02626667.2024.2333846) 2024.
  4. Avino, A., L. Cimorelli, P. Furcolo, V. Noto, A. Pelosi, D. Pianese, P. Villani, S. Manfreda, Are rainfall extremes intensifying in Southern Italy?, Journal of Hydrology, (https://doi.org/10.1016/j.jhydrol.2024.130684) 2024. [pdf]
  5. Han, Q., Zeng, Y., Zhang, L., Cira, C.-I., Prikaziuk, E., Duan, T., Wang, C., Szabó, B., Manfreda, S., Zhuang, R., and Su, B.: Ensemble of optimised machine learning algorithms for predicting surface soil moisture content at a global scale, Geoscientific Model Development, 16, 5825–5845, https://doi.org/10.5194/gmd-16-5825-2023, 2023. [pdf]
  6. Mazzariello, A., R. Albano, T. Lacava, S. Manfreda, A. Sole, Intercomparison of recent Microwave satellite Soil Moisture Products on European Ecoregions, Journal of Hydrology, Available online 13 October 2023, 130311, 2023. [pdf]
  7. Albertini, C., A. Gioia, V. Iacobellis, S. Manfreda, Detection of Surface Water and Floods with Multispectral SatellitesRemote Sensing14, 6005, (doi: 10.3390/rs14236005), 2022. [pdf]
  8. Samela, C., R. Coluzzi, V. Imbrenda, S. Manfreda & M. Lanfredi, Satellite flood detection integrating hydrogeomorphic and spectral indices, GIScience & Remote Sensing, 59:1, 1997-2018, (doi: 10.1080/15481603.2022.2143670) 2022. [pdf]
  9. Pizarro, A., S.F. Dal Sasso, S. Manfreda, VISION: VIdeo StabilisatION using automatic features selection for image velocimetry analysis in rivers, SoftwareX, 19,  101173, (doi: 10.1016/j.softx.2022.101173) 2022. [pdf]
  10. Pizarro, A., P. Dimitriadis, T. Iliopoulou, S. Manfreda, D. Koutsoyiannis, Stochastic Analysis of the Marginal and Dependence Structure of Streamflows: From Fine-Scale Records to Multi-Centennial Paleoclimatic ReconstructionsHydrology, 9(7):126, (doi: 10.3390/hydrology9070126), 2022. [pdf]
  11. Paridad, P., S.F. Dal Sasso, A. Pizarro, L. Mita, M. Fiorentino, M.R. Margiotta, F. Faridani, A. Farid, and S. Manfreda, Estimation of soil moisture from UAS platforms using RGB and thermal imaging sensors in arid and semi-arid regionsACTA Horticulture, 1335, 339-348, (doi: 10.17660/ActaHortic.2022.1335.42) 2022. [pdf]
  12. Albertini, C., D. Miglino, V. Iacobellis, F. De Paola, S. Manfreda, Flood-prone areas delineation in coastal regions using the Geomorphic Flood IndexJournal of Flood Risk Management, 35(12), e12766, (doi: 10.1111/jfr3.12766) 2022. [pdf]
  13. Avino, A., S. Manfreda, L. Cimorelli, and D. Pianese, Trend of Annual Maximum Rainfall in Campania Region (Southern Italy). Hydrological Processes, (doi: 10.1002/hyp.14447), 2021. [pdf]
  14. Zhang, L., Y. Zeng; R. Zhuang, B. Szabó, S. Manfreda, Q. Han, Z. Su, In Situ Observation-Constrained Global Surface Soil Moisture Using Random Forest ModelRemote Sensing13, 4893, (doi: 10.3390/rs13234893) 2021. [pdf]
  15. Ljubičić R.D., D. Strelnikova, M. T. Perks, S. F. Dal Sasso, A. Eltner, S. Peña-Haro, A. Pizarro, P. Vuono, U. Scherling, S. Manfreda, A comparison of tools and techniques for stabilising unmanned aerial system (UAS) imagery for surface flow observationsHydrology and Earth System Sciences, 25, 5105–5132, (doi: 10.5194/hess-25-5105-2021) 2021. [pdf]
  16. Müllerová, J. , X. Gago, M. Bučas, J. Company, J. Estrany, J. Fortesa, S. Manfreda, A. Michez, M. Mokroš, G. Paulus, E. Tiškus, M. A. Tsiafouli, R. Kent, Characterizing vegetation complexity with unmanned aerial systems (UAS) – A framework and synthesis. Ecological Indicators, 131, 108156, (doi: 10.1016/j.ecolind.2021.108156) 2021. [pdf]
  17. Dal Sasso, S.F.; A. Pizarro, S. Manfreda, Recent Advancements and Perspectives in UAS-Based Image VelocimetryDrones5, 81, (doi: 10.3390/drones5030081), 2021. [pdf]
  18. Francos, N., N. Romano, P. Nasta, Y. Zeng, B. Szabó, S. Manfreda, G. Ciraolo, J. Mészáros, R. Zhuang, B. Su, E. Ben-Dor, Mapping Water Infiltration Rate Using Ground and UAV Hyperspectral Data: a Case Study of Alento, Italy. Remote Sensing13, 2606, (doi: 10.3390/rs13132606), 2021. [pdf]
  19. Manfreda, S., D. Miglino, and C. Albertini, Impact of detention dams on the probability distribution of floods. Hydrology and Earth System Sciences, 25, 4231–4242, (doi: 10.5194/hess-25-4231-2021) 2021 [pdf]
  20. Dal Sasso, S.F., A. Pizarro, S. Pearce, I. Maddock, S. Manfreda, Increasing LSPIV performances by exploiting the seeding distribution index at different spatial scales. Journal of Hydrology, (doi: 10.1016/j.jhydrol.2021.126438) 2021. [pdf]
  21. Petropoulos, G.P., A. Maltese, T. N. Carlson, G. Provenzano, A. Pavlides, G. Ciraolo, D. Hristopulos, F. Capodici, C. Chalkias, G. Dardanelli, S. Manfreda, Exploring the use of UAVs with the simplified “triangle” technique for Soil Water Content and Evaporative Fraction retrievals in a Mediterranean setting. International Journal of Remote Sensing, 42(5), 1623–1642, (doi: 10.1080/01431161.2020.1841319) 2021. [pdf]
  22. Paruta, A., P. Nasta, G. Ciraolo, F. Capodici, S. Manfreda, N. Romano, E. Bendor, Y. Zeng, A. Maltese, S. F. Dal Sasso and R. Zhuang, A geostatistical approach to map near-surface soil moisture through hyper-spatial resolution thermal inertia. IEEE Transactions on Geoscience and Remote Sensing, 59(6), 5352 – 5369, (doi: 10.1109/TGRS.2020.3019200) 2021. [pdf]
  23. Pizarro, A., S.F. Dal Sasso, M. Perks and S. Manfreda, Identifying the optimal spatial distribution of tracers for optical sensing of stream surface flow, Hydrology and Earth System Sciences, 24, 5173–5185, (doi: 10.5194/hess-24-5173-2020) 2020. [pdf]
  24. Pizarro, A., S.F. Dal, Sasso, S. Manfreda, Refining image-velocimetry performances for streamflow monitoring: Seeding metrics to errors minimisation. Hydrological Processes, 34(25), 5167-5175, (doi: 10.1002/hyp.13919) 2020. [pdf]
  25. Tavares da Costa, R., S. Zanardo, S. Bagli, A. G. J. Hilberts, S. Manfreda, C. Samela, and A. Castellarin, Predictive modelling of envelope flood extents using geomorphic and climatic-hydrologic catchment characteristics. Water Resources Research, (doi: 10.1029/2019WR026453), 2020. [pdf]
  26. Albano, R.; C. Samela, I. Crăciun, S. Manfreda, J. Adamowski, A. Sole, Å. Sivertun, A. Ozunu, Large Scale Flood Risk Mapping in Data Scarce Environments: An Application for RomaniaWater12, 1834, (doi: 10.3390/w12061834) 2020. [pdf]
  27. Dal Sasso, S.F., A. Pizarro, S. Manfreda, Metrics for the Quantification of Seeding Characteristics to Enhance Image Velocimetry Performance in RiversRemote Sensing12, 1789, (doi: 10.3390/rs12111789) 2020. [pdf]
  28. Perks, M. T., S. F. Dal Sasso, A. Hauet, E. Jamieson, J. Le Coz, SS. Pearce, S. Peña-Haro, A. Pizarro, D. Strelnikova, F. Tauro, J. Bomhof, S. Grimaldi, A. Goulet, B. Hortobágyi, M. Jodeau, S. Käfer, R. Ljubičić, I. Maddock, P. Mayr, G. Paulus, L. Pénard, L. Sinclair, and S. Manfreda, Towards harmonisation of image velocimetry techniques for river surface velocity observations. Earth System Science Data, 12, 1545–1559,  (doi: 10.5194/essd-12-1545-2020) 2020. [pdf]
  29. Su, Z., Y. Zeng, N. Romano, S. Manfreda, F. Francés, E.B. Dor, B. Szabó, G. Vico, P. Nasta, R. Zhuang, N. Francos, J. Mészáros, S.F. Dal Sasso, M. Bassiouni, L. Zhang, D.T. Rwasoka, B. Retsios, L. Yu, M.L. Blatchford, C. Mannaerts, An Integrative Information Aqueduct to Close the Gaps between Satellite Observation of Water Cycle and Local Sustainable Management of Water ResourcesWater12, 1495, (doi: 10.3390/w12051495) 2020. [pdf]
  30. Tmušić, G., S. Manfreda, H. Aasen, M. James, G. Gonçalves E. Ben-Dor, A. Brook, M Polinova, J.J. Arranz, J. Mészáros, R. Zhuang, K. Johansen, Y. Malbeteau, I.P. de Lima, C. Davids, S. Herban, M. McCabe, Practical guidance for UAS-based environmental mapping. Remote Sensing12, 1001, (doi: 10.3390/rs12061001) 2020. [pdf]
  31. Manfreda, S., A. Pizarro, T. Moramarco, L. Cimorelli, D. Pianese, S. Barbetta, Potential advantages of flow-area rating curves compared to classic stage-discharge-relations. Journal of Hydrology, 585, 124752, (doi: 10.1016/j.jhydrol.2020.124752) 2020. [pdf]
  32. Zhuang, R.; Y. Zeng; S. Manfreda; Z. Su, Quantifying Long-term Land Surface and Root Zone Soil Moisture over Tibetan PlateauRemote Sensing,12, 509, (doi: 10.3390/rs12030509) 2020. [pdf]
  33. Pizarro, A., S. Manfreda, E. Tubaldi, The Science behind Scour at Bridge Foundations: A Review, Water, 12, 374, (doi: 10.3390/w12020374) 2020. [pdf]
  34. Pearce, S.; R. Ljubičić; S. Peña-Haro; M. Perks; F. Tauro; A. Pizarro; S.F. Dal Sasso; D. Strelnikova; S. Grimaldi; I. Maddock; G. Paulus; J. Plavšić; D. Prodanović; S. Manfreda, An Evaluation of Image Velocimetry Techniques under Low Flow Conditions and High Seeding Densities Using Unmanned Aerial Systems. Remote Sensing, 12, 232, (doi: 10.3390/rs12020232) 2020. [pdf]
  35. Bancheri, M., R. Rigon and S. Manfreda, The GEOframe-NewAge modelling system applied in a data scarce environment. Water12, 86, (doi: 10.3390/w12010086) 2019. [pdf]
  36. Baldwin, D., S. Manfreda, H. Lin, and E.A.H. Smithwick, Estimating root zone soil moisture across the Eastern United States with passive microwave satellite data and a simple hydrologic modelRemote Sensing11, 2013, (doi: 10.3390/rs11172013), 2019. [pdf]
  37. Lazzari, M., M. Piccarreta, and S. Manfreda, The role of antecedent soil moisture conditions on rainfall-triggered shallow landslidesNatural Hazards Earth System Science Discussion, (doi: 10.5194/nhess-2018-371) 2019. [pdf]
  38. Link, O., E. Mignot, S. Roux, B. Camenen, C. Escauriaza, J. Chauchat, W. Brevis, S. Manfreda, Scour at Bridge Foundations in Supercritical Flows: An Analysis of Knowledge Gaps. Water, 11(8), 1656; (doi: 10.3390/w11081656), 2019. [pdf]
  39. Tavares da Costa, R., S. Manfreda, V. Luzzi,  C. Samela, P. Mazzoli, A. Castellarin, S. Bagli, A web application for hydrogeomorphic flood hazard mappingEnvironmental Modelling and Software, (doi: 10.1016/j.envsoft.2019.04.010) 2019.  [pdf]
  40. Manfreda, S., C. Samela, A DEM-based method for a rapid estimation of flood inundation depthJournal of Flood Risk Management, 12 (Suppl. 1):e12541, (doi: 10.1111/jfr3.12541) 2019. [pdf]
  41. Manfreda, S., P. Dvorak, J. Mullerova,  S. Herban, P. Vuono,  J.J. Arranz Justel, M. Perks, Assessing the Accuracy of Digital Surface Models Derived from Optical Imagery Acquired with Unmanned Aerial SystemsDrones3(1), 15; (doi: 10.3390/drones3010015), 2019. [pdf]
  42. Manfreda S., O. Link, A. Pizarro, The Theoretically Derived Probability Distribution of ScourWater, 10, 1520, (dot: 10.3390/w10111520), 2018. [pdf]
  43. Manfreda S., C. Samela, A. Refice, V. Tramutoli, F. Nardi, Advances in Large Scale Flood Monitoring and DetectionHydrology, 5, 49, (doi: 10.3390/hydrology5030049) 2018. [pdf]
  44. Dal Sasso, S. F., A. Pizarro, C. Samela, L. Mita, and S. Manfreda, Exploring the optimal experimental setup for surface flow velocity measurements using PTVEnvironmental Monitoring and Assessment, 190:460, (doi: 10.1007/s10661-018-6848-3) 2018. [pdf]
  45. Manfreda, S., V. Iacobellis, A. Gioia, M. Fiorentino, and K. Kochanek, Impact of Climate on Hydrological ExtremesWater, 10(6), 802, (doi: 10.3390/w10060802) 2018. [pdf]
  46. Manfreda, S., On the derivation of flow rating-curves in data-scarce environmentsJournal of Hydrogy, 562, 151-154 (doi: 10.1016/j.jhydrol.2018.04.058) 2018. [pdf]
  47. Manfreda, S., M. F. McCabe, P. E. Miller, R. Lucas, V. Pajuelo Madrigal, G. Mallinis, E. Ben-Dor, D. Helman, L. Estes, G. Ciraolo, J. Müllerová, F. Tauro, M. I. de Lima, J. L. M. P. de Lima, A. Maltese, F. Frances, K. Caylor, M. Kohv, M. Perks, G. Ruiz-Pérez, Z. Su, G. Vico, and B. Toth, On the Use of Unmanned Aerial Systems for Environmental MonitoringRemote Sensing, 10(4), 641; (doi:10.3390/rs10040641) 2018.  [pdf
  48. Manfreda, S., Mita, L., S. F. Dal Sasso, C. Samela, L. Mancusi, Exploiting the Use of Physical Information for the Calibration of a Lumped Hydrological ModelHydrological Processes, 32(10), 1420-1433, (doi: 10.1002/hyp.11501) 2018.  [pdf]
  49. Samela, C., R. Albano, A. Sole, S. Manfreda, A GIS tool for cost-effective delineation of flood-prone areasComputers, Environment and Urban Systems, 70, 43-52 (doi: 10.1016/j.compenvurbsys.2018.01.013), 2018.  [pdf]
  50. Tauro, F., J. Selker, N. van de Giesen, T. Abrate, R. Uijlenhoet, M. Porfiri, S. Manfreda, K. Caylor, T. Moramarco, J.Benveniste, G. Ciraolo, L. Estes, A. Domeneghetti, M. T. Perks, C. Corbari, E. Rabiei, G. Ravazzani, H. Bogena, A.Harfouche, L. Brocca, A. Maltese, A. Wickert, C. Cudennec, T. Blume, R. Hut, and S. Grimaldi, Measurements and Observations in the XXI century (MOXXI): innovation and multidisciplinarity to disclose the hydrological cycleHydrological Sciences Journal, 63:2, 169-196, (doi: 10.1080/02626667.2017.1420191), 2018.  [pdf]
  51. Pizarro, A., C. Samela, M. Fiorentino, O. Link, and S. Manfreda, BRISENT: An entropy-based model for bridge-pier scour estimation under complex hydraulic scenariosWater, 9(11), 889 (doi:10.3390/w9110889), 2017. [pdf]
  52. Ruiz-Pérez, G., J. Koch, S. Manfreda, K.K. Caylor, F. Francés, Calibration of a parsimonious distributed ecohydrological daily model in a data scarce basin using exclusively the spatio-temporal variation of NDVIHydrology and Earth System Sciences, 21, 6235-6251, (doi: 10.5194/hess-21-6235-2017) 2017. [pdf]
  53. Faridani, F., A. Farid, H. Ansari, S. Manfreda, A modified version of the SMAR model for estimating root-zone soil moisture from time series of surface soil moistureWater SA, Vol. 43 No. 3 July 2017 (doi: 10.4314/wsa.v43i3.14), 2017.  [pdf]
  54. Albano, R., S. Manfreda, G. Celano, MYSIRR: Minimalist agro-hYdrological model for Sustainable IRRigation management – soil moisture and crop dynamicsSoftwareX, 6, 107–117, (doi: 10.1016/j.softx.2017.04.00), 2017. [pdf]
  55. Samela, C., T.J. Troy, S. Manfreda, Geomorphic classifiers for flood-prone areas delineation for data-scarce environmentsAdvances in Water Resources,  102, 13-28, (doi: 10.1016/j.advwatres.2017.01.007), 2017. [pdf]
  56. Samela C., S. Manfreda, T. J. Troy, 100-year geomorphic flood-prone areas for the continental U.S., Data in Brief, 12, 203-207, (doi: 10.1016/j.dib.2017.03.044), 2017. [pdf]
  57. Baldwin, D., S. Manfreda, K. Keller, and E.A.H. Smithwick,  Predicting root zone soil moisture with soil properties and satellite near-surface moisture data at locations across the United StatesJournal of Hydrology, 546, 393-404, (doi: 10.1016/j.jhydrol.2017.01.020), 2017.  [pdf]
  58. Gioia, A., S. Manfreda, V. Iacobellis, M. Fiorentino, Comparison of different methods describing the peak runoff contributing areas during floodsHydrological Processes, 31(11), 2041-2049 (doi: 10.1002/hyp.11169), 2017.  [pdf]
  59. Pizarro, A., B. Ettmer, S. Manfreda, A. Rojas, and O. Link, Effective Flow Work for Estimation of Pier Scour under Flood WavesJournal of Hydraulic Engineering, 06017006-1-7, (doi: 10.1061/(ASCE)HY.1943-7900.0001295), 2017.  [pdf]
  60. Manfreda, S., K. K. Caylor, S. Good, An Ecohydrological framework to explain shifts in vegetation organization across climatological gradientsEcohydrology, 10(3), 1-14, (doi: 10.1002/eco.1809), 2017. [pdf]
  61. Link, O., C. Castillo, A. Pizarro, A. Rojas, C. Escauriaza, B. Ettmer, S. Manfreda, A Model for Local scour during Flood Waves. Journal of Hydraulic Research, 55(3), 310-323, (doi: 10.1080/00221686.2016.1252802), 2016.  [pdf]
  62. Faridani, F., A. Farid, H. Ansari, and S. Manfreda, Estimation of the root-zone soil moisture using passive microwave remote sensing and SMAR modelJournal of Irrigation and Drainage Engineering, 04016070, 1-9, (doi: 10.1061/(ASCE)IR.1943-4774.0001115), 2016. [pdf]
  63. D’Addabbo, A., A. Refice, G. Pasquariello, F. Lovergine, D. Capolongo and S. Manfreda, A Bayesian Network for Flood Detection Combining SAR Imagery and Ancillary DataIEEE Transactions on Geoscience and Remote Sensing, 54(6), 3612 -3625, (doi: 10.1109/TGRS.2016.2520487), 2016.  [pdf]
  64. Samela, C., S. Manfreda, F. De Paola, M. Giugni, A. Sole, M. Fiorentino, DEM-based approaches for the delineation of flood prone areas in an ungauged basin in AfricaJournal of Hydrologic Engineering, 21(2), (doi: 10.1061/(ASCE)HE.1943-5584.0001272), 2016.  [pdf
  65. Calamita, G., A. Perrone, L. Brocca, B. Onorati, S. Manfreda,  Field test of a multi-frequency electromagnetic induction sensor for soil moisture monitoring in southern Italy test sitesJournal of Hydrology, 529(1), 316–329, (doi: 10.1016/j.jhydrol.2015.07.023), 2015.  [pdf]
  66. Manfreda, S., C. Samela, A. Gioia, G. Consoli, V. Iacobellis, L. Giuzio, A. Cantisani, A. Sole, Flood-Prone Areas Assessment Using Linear Binary Classifiers based on flood maps obtained from 1D and 2D hydraulic modelsNatural Hazards, 79 (2), 735-754, (doi: 10.1007/s11069-015-1869-5), 2015. [pdf]
  67. Manfreda, S., F. Nardi, C. Samela, S. Grimaldi, A. C. Taramasso, G. Roth and A. Sole, Investigation on the Use of Geomorphic Approaches for the Delineation of Flood Prone AreasJournal of Hydrology, 517, 863-876, (doi: 10.1016/j.jhydrol.2014.06.009), 2014. [pdf]
  68. Gioia, A., S. Manfreda, V. Iacobellis, M. Fiorentino, Performance of a theoretical model for the description of the water balance and runoff dynamics in Southern ItalyJournal of Hydrologic Engineering, 19(6), 1113-1123, (doi: 10.1061/(ASCE)HE.1943-5584.0000879), 2014. [pdf]
  69. Manfreda, S., L. Brocca, T. Moramarco, F. Melone, and J. Sheffield, A physically based approach for the estimation of root-zone soil moisture from surface measurementsHydrology and Earth System Sciences, 18, 1199-1212, (doi:10.5194/hess-18-1199-2014), 2014. [pdf
  70. Manfreda, S., K.K. Caylor, On The Vulnerability of Water Limited Ecosystems to Climate ChangeWater, 5(2), 819-833; (doi:10.3390/w5020819), 2013. [pdf]
  71. Manfreda, S., The Water Management in the Present Century, Hydrology Current Research, 4:1 (doi: 10.4172/2157-7587.1000e105), 2013. [pdf]
  72. Manfreda, S. and Sole, A. Closure to “Detection of Flood-Prone Areas Using Digital Elevation Models” by Salvatore Manfreda, Margherita Di Leo, and Aurelia SoleJournal of Hydrologic Engineering, 18(3), 362-365, (doi: 10.1061/(ASCE)HE.1943-5584.0000693), 2013.  [pdf]
  73. Gioia, A., V. Iacobellis, S. Manfreda, and M. Fiorentino, Influence of infiltration and soil storage capacity on the skewness of the annual maximum flood peaks in a theoretically derived distributionHydrology and Earth System Sciences, 16, 937-951, (doi:10.5194/hess-16-937-2012), 2012. [pdf]
  74. Manfreda, S., T. Lacava, B. Onorati, N. Pergola, M. Di Leo, M. R. Margiotta, and V. Tramutoli, On the use of AMSU-based products for the description of soil water content at basin scaleHydrology and Earth System Sciences, 15, 2839-2852, (doi:10.5194/hess-15-2839-2011), 2011. [pdf
  75. Manfreda, S., M. Di Leo, A. Sole, Detection of Flood Prone Areas using Digital Elevation ModelsJournal of Hydrologic Engineering, 16(10), 781-790  (doi: 10.1061/(ASCE)HE.1943-5584.0000367), 2011.  [pdf]
  76. Iacobellis, V., A. Gioia, S. Manfreda, M. Fiorentino, Flood quantiles estimation based on theoretically derived distributions: regional analysis in Southern ItalyNatural Hazards and Earth System Sciences, 11, 673-695, (doi:10.5194/nhess-11-673-2011), 2011. [pdf]
  77. Fiorentino, M., A. Gioia, V. Iacobellis, and S. Manfreda, Regional analysis of runoff thresholds behaviour in Southern Italy based on theoretically derived distributionsAdvances in Geosciences, 26, 139-144, (doi:10.5194/adgeo-26-139-2011), 2011. [pdf]
  78. Iacobellis, V., M. Fiorentino, A. Gioia, S. Manfreda, Best Fit and Selection of Theoretical Flood Frequency Distributions Based on Different Runoff Generation MechanismsWater, 2(2), 239-256, (doi:10.3390/w2020239), 2010. [pdf]
  79. Manfreda, S., K. Smettem, V. Iacobellis, N. Montaldo, M. Sivapalan, Preface of the special issue: Coupled Ecological-Hydrological ProcessesEcohydrology, 3, 131-132, (doi: 10.1002/eco.131), 2010. [pdf]
  80. Manfreda, S., T.M. Scanlon, K.K. Caylor, On the importance of accurate depiction of infiltration processes on modelled soil moisture and vegetation water stressEcohydrology, 3, 155-165, (doi: 10.1002/eco.79), 2010. [pdf]
  81. Manfreda, S., Ecohydrology: a New Interdisciplinary Approach to Investigate on Climate-Soil-Vegetation InteractionsAnnals of Arid Zones, 48 (3 & 4), 219-228, (ISSN: 0570-1791), 2009. [pdf]
  82. Gigante V., P. Milella, V. Iacobellis, S. Manfreda, and I. Portoghese, Influences of Leaf Area Index estimations on the soil water balance predictions in Mediterranean regionsNatural Hazard and Earth System Sciences, 9, 979-991, (doi:10.5194/nhess-9-979-2009), 2009. [pdf] 
  83. Carone, M.T., T. Simoniello, S. Manfreda, G. Caricato, Watershed influence on fluvial ecosystems: a methodology for river water quality managementEnvironmental Monitoring and Assessment, 152(1-4), 327-342, (doi: 10.1007/s10661-008-0319-1), 2009. [pdf]
  84. Manfreda, S., Runoff Generation Dynamics within a Humid River BasinNatural Hazard and Earth System Sciences, 8, 1349-1357, (doi:10.5194/nhess-8-1349-2008), 2008. [pdf]
  85. Manfreda, S., M. Fiorentino, A Stochastic Approach for the Description of the Water Balance Dynamics in a River BasinHydrology and Earth System Sciences, 12, 1189-1200, (doi:10.5194/hess-12-1189-2008), 2008.  [pdf]
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  88. Manfreda, S., D.R. Cox, V. Isham, A. Porporato, I. Rodríguez-Iturbe, Reply to the Comment by S. Nadarajah on “Space-time modeling of soil moisture: Stochastic rainfall forcing with heterogeneous vegetation”. Water Resources Research, 43, W10602, (doi:10.1029/2007WR006378), 2007. [pdf]
  89. Manfreda, S., M. McCabe, E.F. Wood, M. Fiorentino and I. Rodríguez-Iturbe, Spatial Patterns of Soil Moisture from Distributed ModelingAdvances in Water Resources, 30(10), 2145-2150, (doi: 10.1016/j.advwatres.2006.07.009), 2007. [pdf]
  90. Fiorentino, M., S. Manfreda, V. Iacobellis, Peak Runoff Contributing Area as Hydrological Signature of the Probability Distribution of FloodsAdvances in Water Resources, 30(10), 2123-2134, (doi:10.1016/j.advwatres.2006.11.017), 2007.  [pdf]
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  92. Fiorentino, M., A. Gioia, V. Iacobellis, S. Manfreda, Analysis on flood generation processes by means of a continuous simulation modelAdvances in Geosciences, 7, 231-236, (SRef-ID: 1680-7359/adgeo/2006-7-231), 2006. [pdf]
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  95. Isham, V., D.R. Cox, I. Rodríguez-Iturbe, A. Porporato, S. Manfreda, Representation of Space-Time Variability of Soil MoistureProceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 461(2064), 4035-4055, (doi:10.1098/rspa.2005.1568), 2005. [pdf]
  96. Caylor, K.K., S. Manfreda, I. Rodríguez-Iturbe, On the Coupled Geomorphological and Ecohydrological Organization of River BasinsAdvances in Water Resources, 28(1), 69-86, (doi: 10.1016/j.advwatres.2004.08.013), 2005.  [pdf]
  97. Scanlon, T.M., K.K. Caylor, S. Manfreda, S.A. Levin, I. Rodríguez-Iturbe, Dynamic Response of Grass Cover to Rainfall Variability: Implications the Function and Persistence of Savanna EcosystemsAdvances in Water Resources, 28(3), 291-302, (doi: 10.1016/j.advwatres.2004.10.014), 2005.  [pdf]
  98. Manfreda, S., M. Fiorentino, V. Iacobellis, DREAM: a Distributed model for Runoff, Evapotranspiration, and Antecedent Soil Moisture SimulationAdvances in Geosciences, 2, 31-39, (SRef-ID: 1680-7359/adgeo/2005-2-31), 2005. [pdf]