120 peer-reviewed articles 2005–2026
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Complete list of peer-reviewed journal articles. Each entry provides full bibliographic details, a one-line scope summary, topic keywords, and links to the publisher version (DOI), a PDF where available, and a copyable BibTeX citation.

Showing 120 of 120

20268

  1. 1. Sarwar, A. N., Pugliese, F., Caramiello, C., Daloglu Cetinkaya, I., Bal, E., Secci, D., Ceseracciu, C., Copty, N. K., Aydın, C. İ., Jomaa, S., & Manfreda, S. (2026). Translating the Landscape: Data Visualization to Bridge Science and Stakeholders for Nature-based Solutions Planning. Environmental Science and Policy · under review

    Proposes data-visualization tools to communicate nature-based solutions planning between scientists and stakeholders.

    nature-based solutionsdata visualizationstakeholder engagementscience communication
    @unpublished{sarwar2026translating,
      author = {Sarwar, A. N. and Pugliese, F. and Caramiello, C. and Daloglu Cetinkaya, I. and Bal, E. and Secci, D. and Ceseracciu, C. and Copty, N. K. and Aydın, C. İ. and Jomaa, S. and Manfreda, S.},
      title  = {{Translating the Landscape: Data Visualization to Bridge Science and Stakeholders for Nature-based Solutions Planning}},
      year   = {2026},
      note   = {Submitted to Environmental Science and Policy, under review}
    }
  2. 2. Jahanshahi, A., Avino, A., Pacia, F. D., Furnari, L., Senatore, A., Perrini, P., Zhuang, R., Terracciano, U., Sarwar, A. N., Viscido, L., Gianni, L., Mendicino, G., Noto, L. V., & Manfreda, S. (2026). Near-future shifts in hydrological extremes and drought-to-flood transitions in Mediterranean catchments of southern Italy. under review

    Examines projected near-future changes in hydrological extremes and drought-to-flood transitions in southern Italian catchments.

    hydrological extremesdrought-to-floodMediterraneanclimate projections
    @unpublished{jahanshahiA2026nearfuture,
      author = {Jahanshahi, A. and Avino, A. and Pacia, F. D. and Furnari, L. and Senatore, A. and Perrini, P. and Zhuang, R. and Terracciano, U. and Sarwar, A. N. and Viscido, L. and Gianni, L. and Mendicino, G. and Noto, L. V. and Manfreda, S.},
      title  = {{Near-future shifts in hydrological extremes and drought-to-flood transitions in Mediterranean catchments of southern Italy}},
      year   = {2026},
      note   = {Under review}
    }
  3. 3. Dal Sasso, S. F., Ljubicic, R., Zindović, B., Pizarro, A., Pearce, S., Maddock, I., & Manfreda, S. (2026). Evaluating SSIMS-flow velocimetry performances under varying seeding densities: A proof-of-concept field study. under review

    Field proof-of-concept assessing SSIMS-flow image-velocimetry performance across different seeding densities.

    image velocimetrySSIMS-flowseeding densityriver monitoring
    @unpublished{dalsasso2026ssims,
      author = {Dal Sasso, S. F. and Ljubicic, R. and Zindović, B. and Pizarro, A. and Pearce, S. and Maddock, I. and Manfreda, S.},
      title  = {{Evaluating SSIMS-flow velocimetry performances under varying seeding densities: A proof-of-concept field study}},
      year   = {2026},
      note   = {Under review}
    }
  4. 4. Zhuang, R., Manfreda, S., Zeng, Y., Zhang, L., Szabó, B., Nasta, P., Romano, N., & Su, Z. (2026). Unlocking soil moisture patterns: Bridging scales with a two-step Random Forest downscaling approach. Remote Sensing Applications: Society and Environment · under review

    Introduces a two-step Random Forest scheme to downscale and bridge spatial scales of soil-moisture patterns.

    soil moisturedownscalingrandom forestremote sensing
    @unpublished{zhuang2026unlocking,
      author = {Zhuang, R. and Manfreda, S. and Zeng, Y. and Zhang, L. and Szabó, B. and Nasta, P. and Romano, N. and Su, Z.},
      title  = {{Unlocking soil moisture patterns: Bridging scales with a two-step Random Forest downscaling approach}},
      year   = {2026},
      note   = {Submitted to Remote Sensing Applications: Society and Environment, under review}
    }
  5. 5. Manfreda, S., Saavedra Navarro, J., Albertini, C., Zhuang, R., Pacia, F. D., Chaturvedi, S., & Samela, C. (2026). Geomorphic flood index 2.0: Enhanced tools for delineating flood-prone areas in data-scarce regions. Catena.

    Presents GFI 2.0, an enhanced Geomorphic Flood Index toolset for delineating flood-prone areas where data are scarce.

    Geomorphic Flood Indexflood mappingdata-scarce regionsDEM
    DOI
    @article{manfreda2026gfi2,
      author  = {Manfreda, S. and Saavedra Navarro, J. and Albertini, C. and Zhuang, R. and Pacia, F. D. and Chaturvedi, S. and Samela, C.},
      title   = {{Geomorphic flood index 2.0: Enhanced tools for delineating flood-prone areas in data-scarce regions}},
      journal = {Catena},
      year    = {2026},
      doi     = {10.1016/j.catena.2026.110242}
    }
  6. 6. Saddi, K. C., van Emmerik, T., Miglino, D., Poggi, M., Isgrò, F., Tasseron, P., Daniele, L., & Manfreda, S. (2026). Exploring the Transferability of Image-Based Algorithms for River Plastic Detection: The Value of Small Mixed Data Sets. Water Resources Research, 62(4), e2025WR040605.

    Investigates how image-based river-plastic detection algorithms transfer across sites, highlighting the value of small mixed datasets.

    river plasticsimage detectiondeep learningtransferability
    DOI PDF
    @article{saddi2026plastic,
      author  = {Saddi, K. C. and van Emmerik, T. and Miglino, D. and Poggi, M. and Isgrò, F. and Tasseron, P. and Daniele, L. and Manfreda, S.},
      title   = {{Exploring the Transferability of Image-Based Algorithms for River Plastic Detection: The Value of Small Mixed Data Sets}},
      journal = {Water Resources Research},
      year    = {2026},
      volume  = {62},
      number  = {4},
      pages   = {e2025WR040605},
      doi     = {10.1029/2025WR040605}
    }
  7. 7. Jahanshahi, F., Pacia, F. D., Perrini, P., Avino, A., Sarwar, A. N., Zhuang, R., Terracciano, U., Coccaro, P., Giuzio, L., & Manfreda, S. (2026). Hydrological Model Calibration in Data-Scarce Mediterranean Catchments: A Comparative Assessment of Three Strategies. Hydrology, 13, 66.

    Compares three calibration strategies for hydrological models in data-scarce Mediterranean catchments.

    hydrological modellingmodel calibrationMediterraneandata-scarce regions
    DOI PDF
    @article{jahanshahiF2026calibration,
      author  = {Jahanshahi, F. and Pacia, F. D. and Perrini, P. and Avino, A. and Sarwar, A. N. and Zhuang, R. and Terracciano, U. and Coccaro, P. and Giuzio, L. and Manfreda, S.},
      title   = {{Hydrological Model Calibration in Data-Scarce Mediterranean Catchments: A Comparative Assessment of Three Strategies}},
      journal = {Hydrology},
      year    = {2026},
      volume  = {13},
      pages   = {66},
      doi     = {10.3390/hydrology13020066}
    }
  8. 8. Moe, A. C., Saddi, K. C., Zhuang, R., Miglino, D., Saavedra Navarro, J. A., & Manfreda, S. (2026). Global-scale chlorophyll-a monitoring for inland lake water quality framework: Advancements, machine learning models, and transferability challenges. SSRN Preprints.

    Reviews global-scale chlorophyll-a monitoring for inland-lake water quality, covering machine-learning models and transferability challenges.

    chlorophyll-awater qualityinland lakesmachine learning
    @misc{moe2026chlorophyll,
      author       = {Moe, A. C. and Saddi, K. C. and Zhuang, R. and Miglino, D. and Saavedra Navarro, J. A. and Manfreda, S.},
      title        = {{Global-scale chlorophyll-a monitoring for inland lake water quality framework: Advancements, machine learning models, and transferability challenges}},
      howpublished = {SSRN Preprints},
      year         = {2026}
    }

202510

  1. 9. Mazzoglio, P., Lompi, M., Marra, F., Dallan, E., Deidda, R., Claps, P., Manfreda, S., Noto, V., Viglione, A., Raffa, M., Mercogliano, P., Marani, M., Caporali, E., & Borga, M. (2025). Orographic and sea-land contrast effects in convection-permitting simulations of extreme sub-daily precipitation. Weather and Climate Extremes, 49, 100798.

    Analyses orographic and sea-land contrast effects on extreme sub-daily precipitation in convection-permitting simulations.

    extreme precipitationconvection-permitting modelssub-daily rainfallorography
    DOI PDF
    @article{mazzoglio2025orographic,
      author  = {Mazzoglio, P. and Lompi, M. and Marra, F. and Dallan, E. and Deidda, R. and Claps, P. and Manfreda, S. and Noto, V. and Viglione, A. and Raffa, M. and Mercogliano, P. and Marani, M. and Caporali, E. and Borga, M.},
      title   = {{Orographic and sea-land contrast effects in convection-permitting simulations of extreme sub-daily precipitation}},
      journal = {Weather and Climate Extremes},
      year    = {2025},
      volume  = {49},
      pages   = {100798},
      doi     = {10.1016/j.wace.2025.100798}
    }
  2. 10. Saavedra Navarro, J., Zhuang, R., Albertini, C., & Manfreda, S. (2025). Mapping flood susceptibility using random forest exploiting satellite observations and geomorphic features. Science of the Total Environment, 1002, 180592.

    Maps flood susceptibility by combining satellite observations and geomorphic features within a Random Forest model.

    flood susceptibilityrandom forestremote sensinggeomorphic features
    DOI PDF
    @article{saavedra2025floodsusc,
      author  = {Saavedra Navarro, J. and Zhuang, R. and Albertini, C. and Manfreda, S.},
      title   = {{Mapping flood susceptibility using random forest exploiting satellite observations and geomorphic features}},
      journal = {Science of the Total Environment},
      year    = {2025},
      volume  = {1002},
      pages   = {180592},
      doi     = {10.1016/j.scitotenv.2025.180592}
    }
  3. 11. Castelli, G., Howard, B. C., Adyel, T. M., AghaKouchak, A., Agramont, A., Aksoy, H., Alba, R., Alencar, P. H. L., Amanambu, A. C., Aslam, H., Bharati, L., Bos-Burgering, L., … Manfreda, S., … et al. (62 authors) (2025). Co-creating water knowledge: A community perspective. Hydrological Sciences Journal, 70(16), 2899–2919.

    A community perspective on co-creating water knowledge across the international hydrological research community.

    co-creationwater knowledgecommunity perspectiveopen science
    DOI PDF
    @article{castelli2025cocreating,
      author  = {Castelli, G. and Howard, B. C. and Adyel, T. M. and AghaKouchak, A. and Agramont, A. and Aksoy, H. and Alba, R. and Alencar, P. H. L. and Amanambu, A. C. and Aslam, H. and Bharati, L. and Bos-Burgering, L. and Bresci, E. and Caramiello, C. and Cavus, Y. and Chaudhari, K. and Chifflard, P. and Choukrani, H. and Chun, K. P. and Cudennec, C. and Cumiskey, L. and Dakhlaoui, H. and De Angeli, S. and de Brito, M. M. and Dembelé, M. and Dewals, B. and Elshenawy, A. and Gwapedza, D. and Hall, C. and Hermans, L. and Höllermann, B. and Jaramillo, F. and Jomaa, S. and Koren, G. and Krause, S. and Lahsaini, M. and Mahé, G. and Manfreda, S. and Maynard, C. and Merheb, M. and Nóbrega, R. L. B. and Ocampo-Melgar, A. and Olusola, A. and Orduna Alegria, M. E. and Owusu, A. and Pacetti, T. and Panchanathan, A. and Panda, S. and Piemontese, L. and Pradhananga, D. and Shobha Ajin, R. and Rusca, M. and Scolobig, A. and Thaler, T. and Tran, B. N. and Triml-Chifflard, D. and Vanelli, F. M. and Villani, L. and Walker, D. W. and Zarif, F. and Buytaert, W. and Ceperley, N.},
      title   = {{Co-creating water knowledge: A community perspective}},
      journal = {Hydrological Sciences Journal},
      year    = {2025},
      volume  = {70},
      number  = {16},
      pages   = {2899--2919},
      doi     = {10.1080/02626667.2025.2571065}
    }
  4. 12. Dal Sasso, S. F., Pizarro, A., Onorati, B., Margiotta, M. R., Frances, F., Zheng, Y., Su, B., Manfreda, S., & Fiorentino, M. (2025). Assessing the Performance of Single and Multi-Criteria Calibration Approaches for Hydrological Modelling: A Comparative Analysis. Hydrological Sciences Journal.

    Compares single- and multi-criteria calibration approaches for hydrological modelling.

    hydrological modellingcalibrationmulti-criteriamodel performance
    DOI PDF
    @article{dalsasso2025calibration,
      author  = {Dal Sasso, S. F. and Pizarro, A. and Onorati, B. and Margiotta, M. R. and Frances, F. and Zheng, Y. and Su, B. and Manfreda, S. and Fiorentino, M.},
      title   = {{Assessing the Performance of Single and Multi-Criteria Calibration Approaches for Hydrological Modelling: A Comparative Analysis}},
      journal = {Hydrological Sciences Journal},
      year    = {2025},
      doi     = {10.1080/02626667.2025.2579162}
    }
  5. 13. Sarwar, A. N., Caramiello, C., Pugliese, F., Jomaa, S., Guelmami, A., Ronse, M., Roggero, P. P., Marrone, N., De Paola, F., Daloglu Cetinkaya, I., Copty, N. K., Rode, M., & Manfreda, S. (2025). A framework for selecting nature-based solutions: Applications and challenges at the catchment scale. Journal of Environmental Management, 394, 127220.

    Proposes a framework to select nature-based solutions at the catchment scale and discusses applications and challenges.

    nature-based solutionscatchment managementdecision frameworksustainability
    DOI PDF
    @article{sarwar2025nbs,
      author  = {Sarwar, A. N. and Caramiello, C. and Pugliese, F. and Jomaa, S. and Guelmami, A. and Ronse, M. and Roggero, P. P. and Marrone, N. and De Paola, F. and Daloglu Cetinkaya, I. and Copty, N. K. and Rode, M. and Manfreda, S.},
      title   = {{A framework for selecting nature-based solutions: Applications and challenges at the catchment scale}},
      journal = {Journal of Environmental Management},
      year    = {2025},
      volume  = {394},
      pages   = {127220},
      doi     = {10.1016/j.jenvman.2025.127220}
    }
  6. 14. Woldegebrael, S. M., Romano, N., Pumo, D., Deidda, R., Ippolito, M., Cannarozzo, M., Langousis, A., Serafeim, A. V., Manfreda, S., & Nasta, P. (2025). Empirical approaches to estimate rainfall erosivity from coarse temporal resolution precipitation data in the Mediterranean region. Science of the Total Environment, 996, 180122.

    Evaluates empirical methods to estimate rainfall erosivity from coarse-resolution precipitation data in the Mediterranean.

    rainfall erosivitysoil erosionMediterraneanprecipitation data
    DOI PDF
    @article{woldegebrael2025erosivity,
      author  = {Woldegebrael, S. M. and Romano, N. and Pumo, D. and Deidda, R. and Ippolito, M. and Cannarozzo, M. and Langousis, A. and Serafeim, A. V. and Manfreda, S. and Nasta, P.},
      title   = {{Empirical approaches to estimate rainfall erosivity from coarse temporal resolution precipitation data in the Mediterranean region}},
      journal = {Science of the Total Environment},
      year    = {2025},
      volume  = {996},
      pages   = {180122},
      doi     = {10.1016/j.scitotenv.2025.180122}
    }
  7. 15. Marye, A. T., Caramiello, C., De Nardi, D., Miglino, D., Proietti, G., Saddi, K. C., Biscarini, C., Manfreda, S., Poggi, M., & Tauro, F. (2025). Remote sensing for monitoring macroplastics in rivers: A review. WIREs Water, 12(2), e70020.

    Reviews remote-sensing methods for monitoring macroplastics in rivers.

    macroplasticsremote sensingriver monitoringreview
    DOI PDF
    @article{marye2025macroplastics,
      author  = {Marye, A. T. and Caramiello, C. and De Nardi, D. and Miglino, D. and Proietti, G. and Saddi, K. C. and Biscarini, C. and Manfreda, S. and Poggi, M. and Tauro, F.},
      title   = {{Remote sensing for monitoring macroplastics in rivers: A review}},
      journal = {WIREs Water},
      year    = {2025},
      volume  = {12},
      number  = {2},
      pages   = {e70020},
      doi     = {10.1002/wat2.70020}
    }
  8. 16. Miglino, D., Jomaa, S., Rode, M., Saddi, K. C., Isgrò, F., & Manfreda, S. (2025). Technical note: Image processing for continuous river turbidity monitoring — full-scale tests and potential applications. Hydrology and Earth System Sciences, 29, 4133–4151.

    Technical note on image-processing for continuous river turbidity monitoring, with full-scale tests and applications.

    turbidityimage processingriver monitoringwater quality
    DOI PDF
    @article{miglino2025turbidity,
      author  = {Miglino, D. and Jomaa, S. and Rode, M. and Saddi, K. C. and Isgrò, F. and Manfreda, S.},
      title   = {{Technical note: Image processing for continuous river turbidity monitoring -- full-scale tests and potential applications}},
      journal = {Hydrology and Earth System Sciences},
      year    = {2025},
      volume  = {29},
      pages   = {4133--4151},
      doi     = {10.5194/hess-29-4133-2025}
    }
  9. 17. Coluzzi, R., Perrone, A., Samela, C., Imbrenda, V., Manfreda, S., Pace, L., & Lanfredi, M. (2025). Rapid landslide detection from free optical satellite imagery using a robust change detection technique. Scientific Reports, 15, 4697.

    Presents a robust change-detection technique for rapid landslide detection from free optical satellite imagery.

    landslide detectionchange detectionoptical satelliteremote sensing
    DOI PDF
    @article{coluzzi2025landslide,
      author  = {Coluzzi, R. and Perrone, A. and Samela, C. and Imbrenda, V. and Manfreda, S. and Pace, L. and Lanfredi, M.},
      title   = {{Rapid landslide detection from free optical satellite imagery using a robust change detection technique}},
      journal = {Scientific Reports},
      year    = {2025},
      volume  = {15},
      pages   = {4697},
      doi     = {10.1038/s41598-025-89542-8}
    }
  10. 18. Nasta, P., Blöschl, G., Bogena, H. R., Zacharias, S., Baatz, R., De Lannoy, G., Jensen, K. H., Manfreda, S., Pfister, L., Tarquis, A. M., van Meerveld, I., Voltz, M., Zeng, Y., Kustas, W., Li, X., Vereecken, H., & Romano, N. (2025). HESS Opinions: Towards a common vision for the future of hydrological observatories. Hydrology and Earth System Sciences, 29, 465–483.

    An opinion paper outlining a shared vision for the future of hydrological observatories.

    hydrological observatoriesmonitoring networksopinionhydrology
    DOI PDF
    @article{nasta2025observatories,
      author  = {Nasta, P. and Blöschl, G. and Bogena, H. R. and Zacharias, S. and Baatz, R. and De Lannoy, G. and Jensen, K. H. and Manfreda, S. and Pfister, L. and Tarquis, A. M. and van Meerveld, I. and Voltz, M. and Zeng, Y. and Kustas, W. and Li, X. and Vereecken, H. and Romano, N.},
      title   = {{HESS Opinions: Towards a common vision for the future of hydrological observatories}},
      journal = {Hydrology and Earth System Sciences},
      year    = {2025},
      volume  = {29},
      pages   = {465--483},
      doi     = {10.5194/hess-29-465-2025}
    }

20249

  1. 19. Mullerova, J., Kent, R., Bruna, J., Bruna, M., Estrany, J., Manfreda, S., Michez, A., Mokros, M., Tsiafouli, M. A., & Gago, X. (2024). Understanding spatio-temporal complexity of vegetation using drones: What could we improve?. Journal of Environmental Management, 373, 123656.

    Discusses how drones capture the spatio-temporal complexity of vegetation and where methods can improve.

    vegetationUAS/dronesspatio-temporal complexityremote sensing
    DOI PDF
    @article{mullerova2024drones,
      author  = {Mullerova, J. and Kent, R. and Bruna, J. and Bruna, M. and Estrany, J. and Manfreda, S. and Michez, A. and Mokros, M. and Tsiafouli, M. A. and Gago, X.},
      title   = {{Understanding spatio-temporal complexity of vegetation using drones: What could we improve?}},
      journal = {Journal of Environmental Management},
      year    = {2024},
      volume  = {373},
      pages   = {123656},
      doi     = {10.1016/j.jenvman.2024.123656}
    }
  2. 20. Manfreda, S. (2024). The space-time representation of extraordinary rainfall events. Ecohydrology, 18(2), e2742.

    Develops a space-time representation of extraordinary rainfall events.

    rainfall extremesspace-time analysisstochastic hydrology
    DOI PDF
    @article{manfreda2024spacetime,
      author  = {Manfreda, S.},
      title   = {{The space-time representation of extraordinary rainfall events}},
      journal = {Ecohydrology},
      year    = {2024},
      volume  = {18},
      number  = {2},
      pages   = {e2742},
      doi     = {10.1002/eco.2742}
    }
  3. 21. Cammalleri, C., Sarwar, A. N., Avino, A., Nikravesh, G., Bonaccorso, B., Mendicino, G., Senatore, A., & Manfreda, S. (2024). Testing trends in gridded rainfall datasets at relevant hydrological scales: A comparative study with regional ground observations in Southern Italy. Journal of Hydrology: Regional Studies, 55, 101950.

    Tests rainfall trends in gridded datasets against regional ground observations in Southern Italy.

    rainfall trendsgridded datasetsSouthern Italyprecipitation
    DOI PDF
    @article{cammalleri2024trends,
      author  = {Cammalleri, C. and Sarwar, A. N. and Avino, A. and Nikravesh, G. and Bonaccorso, B. and Mendicino, G. and Senatore, A. and Manfreda, S.},
      title   = {{Testing trends in gridded rainfall datasets at relevant hydrological scales: A comparative study with regional ground observations in Southern Italy}},
      journal = {Journal of Hydrology: Regional Studies},
      year    = {2024},
      volume  = {55},
      pages   = {101950},
      doi     = {10.1016/j.ejrh.2024.101950}
    }
  4. 22. Wang, Y., Leng, P., Ma, J., Manfreda, S., Ma, C., Song, Q., Shang, G.-F., Zhang, X., & Li, Z. L. (2024). Generation of root zone soil moisture from the integration of all-weather satellite surface soil moisture estimates and an analytical model: A preliminary result in China. Journal of Hydrology, 132098.

    Derives root-zone soil moisture by integrating all-weather satellite surface estimates with an analytical model in China.

    soil moistureroot zonesatelliteanalytical model
    DOI PDF
    @article{wang2024rootzone,
      author  = {Wang, Y. and Leng, P. and Ma, J. and Manfreda, S. and Ma, C. and Song, Q. and Shang, G.-F. and Zhang, X. and Li, Z. L.},
      title   = {{Generation of root zone soil moisture from the integration of all-weather satellite surface soil moisture estimates and an analytical model: A preliminary result in China}},
      journal = {Journal of Hydrology},
      year    = {2024},
      pages   = {132098},
      doi     = {10.1016/j.jhydrol.2024.132098}
    }
  5. 23. Albano, R., Lacava, T., Mazzariello, A., Manfreda, S., Adamowski, J., & Sole, A. (2024). How can seasonality influence the performance of recent microwave satellite soil moisture products?. Remote Sensing, 16, 3044.

    Assesses how seasonality affects the performance of recent microwave satellite soil-moisture products.

    soil moisturemicrowave remote sensingseasonalityproduct evaluation
    DOI PDF
    @article{albano2024seasonality,
      author  = {Albano, R. and Lacava, T. and Mazzariello, A. and Manfreda, S. and Adamowski, J. and Sole, A.},
      title   = {{How can seasonality influence the performance of recent microwave satellite soil moisture products?}},
      journal = {Remote Sensing},
      year    = {2024},
      volume  = {16},
      pages   = {3044},
      doi     = {10.3390/rs16173044}
    }
  6. 24. Perrini, P., Cea, L., Chiaravalloti, F., Gabriele, S., Manfreda, S., Fiorentino, M., Gioia, A., & Iacobellis, V. (2024). A Runoff-On-Grid approach to embed hydrological processes in shallow water models. Water Resources Research.

    Introduces a Runoff-On-Grid approach to embed hydrological processes directly in shallow-water models.

    shallow water modelsrunoffhydrological modellingflood simulation
    DOI PDF
    @article{perrini2024runoffgrid,
      author  = {Perrini, P. and Cea, L. and Chiaravalloti, F. and Gabriele, S. and Manfreda, S. and Fiorentino, M. and Gioia, A. and Iacobellis, V.},
      title   = {{A Runoff-On-Grid approach to embed hydrological processes in shallow water models}},
      journal = {Water Resources Research},
      year    = {2024},
      doi     = {10.1029/2023WR036421}
    }
  7. 25. Albertini, C., Gioia, A., Iacobellis, V., Petropoulos, G. P., & Manfreda, S. (2024). Assessing multi-source Random Forest classification and robustness of predictor variables in flooded areas mapping. Remote Sensing Applications: Society and Environment, 35, 101239.

    Evaluates multi-source Random Forest classification and predictor-variable robustness for flooded-area mapping.

    flood mappingrandom forestremote sensingfeature importance
    DOI PDF
    @article{albertini2024multisource,
      author  = {Albertini, C. and Gioia, A. and Iacobellis, V. and Petropoulos, G. P. and Manfreda, S.},
      title   = {{Assessing multi-source Random Forest classification and robustness of predictor variables in flooded areas mapping}},
      journal = {Remote Sensing Applications: Society and Environment},
      year    = {2024},
      volume  = {35},
      pages   = {101239},
      doi     = {10.1016/j.rsase.2024.101239}
    }
  8. 26. Manfreda, S., Miglino, D., Saddi, K. C., Jomaa, S., Etner, A., Perks, M., Strelnikova, D., Peña-Haro, S., Maddock, I., Tauro, F., Grimaldi, S., Zeng, Y., … et al. (21 authors) (2024). Advancing river monitoring using image-based techniques: Challenges and opportunities. Hydrological Sciences Journal, 69(5), 657–677.

    Reviews the challenges and opportunities of image-based techniques for advancing river monitoring.

    river monitoringimage velocimetryUASreview
    DOI PDF
    @article{manfreda2024advancing,
      author  = {Manfreda, S. and Miglino, D. and Saddi, K. C. and Jomaa, S. and Etner, A. and Perks, M. and Strelnikova, D. and Peña-Haro, S. and Maddock, I. and Tauro, F. and Grimaldi, S. and Zeng, Y. and Gonçalves, G. and Bogaard, T. and van Emmerik, T. and Bussettini, M. and Mariani, S. and Marchetti, G. and Lastoria, B. and Su, B. and Rode, M.},
      title   = {{Advancing river monitoring using image-based techniques: Challenges and opportunities}},
      journal = {Hydrological Sciences Journal},
      year    = {2024},
      volume  = {69},
      number  = {5},
      pages   = {657--677},
      doi     = {10.1080/02626667.2024.2333846}
    }
  9. 27. Avino, A., Cimorelli, L., Furcolo, P., Noto, V., Pelosi, A., Pianese, D., Villani, P., & Manfreda, S. (2024). Are rainfall extremes intensifying in Southern Italy?. Journal of Hydrology, 631, 130684.

    Investigates whether rainfall extremes are intensifying across Southern Italy.

    rainfall extremesclimate changeSouthern Italytrend analysis
    DOI PDF
    @article{avino2024extremes,
      author  = {Avino, A. and Cimorelli, L. and Furcolo, P. and Noto, V. and Pelosi, A. and Pianese, D. and Villani, P. and Manfreda, S.},
      title   = {{Are rainfall extremes intensifying in Southern Italy?}},
      journal = {Journal of Hydrology},
      year    = {2024},
      volume  = {631},
      pages   = {130684},
      doi     = {10.1016/j.jhydrol.2024.130684}
    }

20232

  1. 28. Han, Q., Zeng, Y., Zhang, L., Cira, C.-I., Prikaziuk, E., Duan, T., Wang, C., Szabó, B., Manfreda, S., Zhuang, R., & Su, B. (2023). Ensemble of optimised machine learning algorithms for predicting surface soil moisture content at a global scale. Geoscientific Model Development, 16, 5825–5845.

    Builds an ensemble of optimised machine-learning algorithms to predict global surface soil-moisture content.

    soil moisturemachine learningensembleglobal scale
    DOI PDF
    @article{han2023ensemble,
      author  = {Han, Q. and Zeng, Y. and Zhang, L. and Cira, C.-I. and Prikaziuk, E. and Duan, T. and Wang, C. and Szabó, B. and Manfreda, S. and Zhuang, R. and Su, B.},
      title   = {{Ensemble of optimised machine learning algorithms for predicting surface soil moisture content at a global scale}},
      journal = {Geoscientific Model Development},
      year    = {2023},
      volume  = {16},
      pages   = {5825--5845},
      doi     = {10.5194/gmd-16-5825-2023}
    }
  2. 29. Mazzariello, A., Albano, R., Lacava, T., Manfreda, S., & Sole, A. (2023). Intercomparison of recent microwave satellite soil moisture products on European ecoregions. Journal of Hydrology, 630, 130311.

    Intercompares recent microwave satellite soil-moisture products across European ecoregions.

    soil moisturemicrowave remote sensingproduct intercomparisonEurope
    DOI PDF
    @article{mazzariello2023intercomparison,
      author  = {Mazzariello, A. and Albano, R. and Lacava, T. and Manfreda, S. and Sole, A.},
      title   = {{Intercomparison of recent microwave satellite soil moisture products on European ecoregions}},
      journal = {Journal of Hydrology},
      year    = {2023},
      volume  = {630},
      pages   = {130311},
      doi     = {10.1016/j.jhydrol.2023.130311}
    }

20226

  1. 30. Albertini, C., Gioia, A., Iacobellis, V., & Manfreda, S. (2022). Detection of surface water and floods with multispectral satellites. Remote Sensing, 14(23), 6005.

    Detects surface water and floods using multispectral satellite imagery.

    surface waterflood detectionmultispectralremote sensing
    DOI PDF
    @article{albertini2022surfacewater,
      author  = {Albertini, C. and Gioia, A. and Iacobellis, V. and Manfreda, S.},
      title   = {{Detection of surface water and floods with multispectral satellites}},
      journal = {Remote Sensing},
      year    = {2022},
      volume  = {14},
      number  = {23},
      pages   = {6005},
      doi     = {10.3390/rs14236005}
    }
  2. 31. Samela, C., Coluzzi, R., Imbrenda, V., Manfreda, S., & Lanfredi, M. (2022). Satellite flood detection integrating hydrogeomorphic and spectral indices. GIScience & Remote Sensing, 59(1), 1997–2018.

    Combines hydrogeomorphic and spectral indices for satellite-based flood detection.

    flood detectionhydrogeomorphic indexspectral indicesremote sensing
    DOI PDF
    @article{samela2022integrating,
      author  = {Samela, C. and Coluzzi, R. and Imbrenda, V. and Manfreda, S. and Lanfredi, M.},
      title   = {{Satellite flood detection integrating hydrogeomorphic and spectral indices}},
      journal = {GIScience & Remote Sensing},
      year    = {2022},
      volume  = {59},
      number  = {1},
      pages   = {1997--2018},
      doi     = {10.1080/15481603.2022.2143670}
    }
  3. 32. Pizarro, A., Dal Sasso, S. F., & Manfreda, S. (2022). VISION: VIdeo StabilisatION using automatic features selection for image velocimetry analysis in rivers. SoftwareX, 19, 101173.

    Software for automatic video stabilisation supporting image-velocimetry analysis in rivers.

    image velocimetryvideo stabilisationsoftwareriver monitoring
    DOI PDF
    @article{pizarro2022vision,
      author  = {Pizarro, A. and Dal Sasso, S. F. and Manfreda, S.},
      title   = {{VISION: VIdeo StabilisatION using automatic features selection for image velocimetry analysis in rivers}},
      journal = {SoftwareX},
      year    = {2022},
      volume  = {19},
      pages   = {101173},
      doi     = {10.1016/j.softx.2022.101173}
    }
  4. 33. Pizarro, A., Dimitriadis, P., Iliopoulou, T., Manfreda, S., & Koutsoyiannis, D. (2022). Stochastic analysis of the marginal and dependence structure of streamflows: From fine-scale records to multi-centennial paleoclimatic reconstructions. Hydrology, 9(7), 126.

    Stochastic analysis of streamflow marginal and dependence structure, from fine-scale records to paleoclimatic reconstructions.

    stochastic hydrologystreamflowlong-range dependencepaleoclimate
    DOI
    @article{pizarro2022stochastic,
      author  = {Pizarro, A. and Dimitriadis, P. and Iliopoulou, T. and Manfreda, S. and Koutsoyiannis, D.},
      title   = {{Stochastic analysis of the marginal and dependence structure of streamflows: From fine-scale records to multi-centennial paleoclimatic reconstructions}},
      journal = {Hydrology},
      year    = {2022},
      volume  = {9},
      number  = {7},
      pages   = {126},
      doi     = {10.3390/hydrology9070126}
    }
  5. 34. Paridad, P., Dal Sasso, S. F., Pizarro, A., Mita, L., Fiorentino, M., Margiotta, M. R., Faridani, F., Farid, A., & Manfreda, S. (2022). Estimation of soil moisture from UAS platforms using RGB and thermal imaging sensors in arid and semi-arid regions. Acta Horticulturae, 1335, 339–348.

    Estimates soil moisture from UAS RGB and thermal sensors in arid and semi-arid regions.

    soil moistureUAS/dronesthermal imagingarid regions
    DOI
    @article{paridad2022soilmoisture,
      author  = {Paridad, P. and Dal Sasso, S. F. and Pizarro, A. and Mita, L. and Fiorentino, M. and Margiotta, M. R. and Faridani, F. and Farid, A. and Manfreda, S.},
      title   = {{Estimation of soil moisture from UAS platforms using RGB and thermal imaging sensors in arid and semi-arid regions}},
      journal = {Acta Horticulturae},
      year    = {2022},
      volume  = {1335},
      pages   = {339--348},
      doi     = {10.17660/ActaHortic.2022.1335.42}
    }
  6. 35. Albertini, C., Miglino, D., Iacobellis, V., De Paola, F., & Manfreda, S. (2022). Flood-prone areas delineation in coastal regions using the Geomorphic Flood Index. Journal of Flood Risk Management, 35(12), e12766.

    Applies the Geomorphic Flood Index to delineate flood-prone areas in coastal regions.

    Geomorphic Flood Indexcoastal floodingflood mappingDEM
    DOI
    @article{albertini2022coastal,
      author  = {Albertini, C. and Miglino, D. and Iacobellis, V. and De Paola, F. and Manfreda, S.},
      title   = {{Flood-prone areas delineation in coastal regions using the Geomorphic Flood Index}},
      journal = {Journal of Flood Risk Management},
      year    = {2022},
      volume  = {35},
      number  = {12},
      pages   = {e12766},
      doi     = {10.1111/jfr3.12766}
    }

202110

  1. 36. Avino, A., Manfreda, S., Cimorelli, L., & Pianese, D. (2021). Trend of annual maximum rainfall in Campania Region (Southern Italy). Hydrological Processes.

    Analyses trends in annual maximum rainfall across the Campania Region of Southern Italy.

    rainfall extremestrend analysisCampaniaSouthern Italy
    DOI
    @article{avino2021trend,
      author  = {Avino, A. and Manfreda, S. and Cimorelli, L. and Pianese, D.},
      title   = {{Trend of annual maximum rainfall in Campania Region (Southern Italy)}},
      journal = {Hydrological Processes},
      year    = {2021},
      doi     = {10.1002/hyp.14447}
    }
  2. 37. Zhang, L., Zeng, Y., Zhuang, R., Szabó, B., Manfreda, S., Han, Q., & Su, Z. (2021). In situ observation-constrained global surface soil moisture using Random Forest model. Remote Sensing, 13, 4893.

    Produces in-situ-constrained global surface soil moisture with a Random Forest model.

    soil moisturerandom forestglobal scaleremote sensing
    DOI
    @article{zhang2021insitu,
      author  = {Zhang, L. and Zeng, Y. and Zhuang, R. and Szabó, B. and Manfreda, S. and Han, Q. and Su, Z.},
      title   = {{In situ observation-constrained global surface soil moisture using Random Forest model}},
      journal = {Remote Sensing},
      year    = {2021},
      volume  = {13},
      pages   = {4893},
      doi     = {10.3390/rs13234893}
    }
  3. 38. Ljubičić, R. D., Strelnikova, D., Perks, M. T., Dal Sasso, S. F., Eltner, A., Peña-Haro, S., Pizarro, A., Vuono, P., Scherling, U., & Manfreda, S. (2021). A comparison of tools and techniques for stabilising unmanned aerial system (UAS) imagery for surface flow observations. Hydrology and Earth System Sciences, 25, 5105–5132.

    Compares tools and techniques for stabilising UAS imagery used in surface-flow observations.

    UAS/dronesvideo stabilisationimage velocimetrysurface flow
    DOI
    @article{ljubicic2021stabilising,
      author  = {Ljubičić, R. D. and Strelnikova, D. and Perks, M. T. and Dal Sasso, S. F. and Eltner, A. and Peña-Haro, S. and Pizarro, A. and Vuono, P. and Scherling, U. and Manfreda, S.},
      title   = {{A comparison of tools and techniques for stabilising unmanned aerial system (UAS) imagery for surface flow observations}},
      journal = {Hydrology and Earth System Sciences},
      year    = {2021},
      volume  = {25},
      pages   = {5105--5132},
      doi     = {10.5194/hess-25-5105-2021}
    }
  4. 39. Müllerová, J., Gago, X., Bučas, M., Company, J., Estrany, J., Fortesa, J., Manfreda, S., Michez, A., Mokroš, M., Paulus, G., Tiškus, E., Tsiafouli, M. A., & Kent, R. (2021). Characterizing vegetation complexity with unmanned aerial systems (UAS) — A framework and synthesis. Ecological Indicators, 131, 108156.

    Provides a framework and synthesis for characterizing vegetation complexity with UAS.

    vegetationUAS/dronesecological indicatorsframework
    DOI
    @article{mullerova2021complexity,
      author  = {Müllerová, J. and Gago, X. and Bučas, M. and Company, J. and Estrany, J. and Fortesa, J. and Manfreda, S. and Michez, A. and Mokroš, M. and Paulus, G. and Tiškus, E. and Tsiafouli, M. A. and Kent, R.},
      title   = {{Characterizing vegetation complexity with unmanned aerial systems (UAS) -- A framework and synthesis}},
      journal = {Ecological Indicators},
      year    = {2021},
      volume  = {131},
      pages   = {108156},
      doi     = {10.1016/j.ecolind.2021.108156}
    }
  5. 40. Dal Sasso, S. F., Pizarro, A., & Manfreda, S. (2021). Recent advancements and perspectives in UAS-based image velocimetry. Drones, 5(3), 81.

    Reviews recent advancements and perspectives in UAS-based image velocimetry.

    image velocimetryUAS/dronesriver monitoringreview
    DOI
    @article{dalsasso2021advancements,
      author  = {Dal Sasso, S. F. and Pizarro, A. and Manfreda, S.},
      title   = {{Recent advancements and perspectives in UAS-based image velocimetry}},
      journal = {Drones},
      year    = {2021},
      volume  = {5},
      number  = {3},
      pages   = {81},
      doi     = {10.3390/drones5030081}
    }
  6. 41. Francos, N., Romano, N., Nasta, P., Zeng, Y., Szabó, B., Manfreda, S., Ciraolo, G., Mészáros, J., Zhuang, R., Su, B., & Ben-Dor, E. (2021). Mapping water infiltration rate using ground and UAV hyperspectral data: A case study of Alento, Italy. Remote Sensing, 13(13), 2606.

    Maps water infiltration rate from ground and UAV hyperspectral data at the Alento site, Italy.

    infiltrationhyperspectralUAS/dronessoil
    DOI
    @article{francos2021infiltration,
      author  = {Francos, N. and Romano, N. and Nasta, P. and Zeng, Y. and Szabó, B. and Manfreda, S. and Ciraolo, G. and Mészáros, J. and Zhuang, R. and Su, B. and Ben-Dor, E.},
      title   = {{Mapping water infiltration rate using ground and UAV hyperspectral data: A case study of Alento, Italy}},
      journal = {Remote Sensing},
      year    = {2021},
      volume  = {13},
      number  = {13},
      pages   = {2606},
      doi     = {10.3390/rs13132606}
    }
  7. 42. Manfreda, S., Miglino, D., & Albertini, C. (2021). Impact of detention dams on the probability distribution of floods. Hydrology and Earth System Sciences, 25, 4231–4242.

    Quantifies how detention dams alter the probability distribution of floods.

    detention damsflood frequencyprobability distributionflood risk
    DOI
    @article{manfreda2021detention,
      author  = {Manfreda, S. and Miglino, D. and Albertini, C.},
      title   = {{Impact of detention dams on the probability distribution of floods}},
      journal = {Hydrology and Earth System Sciences},
      year    = {2021},
      volume  = {25},
      pages   = {4231--4242},
      doi     = {10.5194/hess-25-4231-2021}
    }
  8. 43. Dal Sasso, S. F., Pizarro, A., Pearce, S., Maddock, I., & Manfreda, S. (2021). Increasing LSPIV performances by exploiting the seeding distribution index at different spatial scales. Journal of Hydrology.

    Improves LSPIV performance by exploiting the seeding distribution index across spatial scales.

    LSPIVimage velocimetryseeding distributionriver monitoring
    DOI
    @article{dalsasso2021lspiv,
      author  = {Dal Sasso, S. F. and Pizarro, A. and Pearce, S. and Maddock, I. and Manfreda, S.},
      title   = {{Increasing LSPIV performances by exploiting the seeding distribution index at different spatial scales}},
      journal = {Journal of Hydrology},
      year    = {2021},
      doi     = {10.1016/j.jhydrol.2021.126438}
    }
  9. 44. Petropoulos, G. P., Maltese, A., Carlson, T. N., Provenzano, G., Pavlides, A., Ciraolo, G., Hristopulos, D., Capodici, F., Chalkias, C., Dardanelli, G., & Manfreda, S. (2021). 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.

    Explores UAV-based use of the simplified “triangle” technique to retrieve soil water content and evaporative fraction in a Mediterranean setting.

    soil moistureevaporative fractionUAS/dronestriangle method
    DOI
    @article{petropoulos2021triangle,
      author  = {Petropoulos, G. P. and Maltese, A. and Carlson, T. N. and Provenzano, G. and Pavlides, A. and Ciraolo, G. and Hristopulos, D. and Capodici, F. and Chalkias, C. and Dardanelli, G. and Manfreda, S.},
      title   = {{Exploring the use of UAVs with the simplified "triangle" technique for soil water content and evaporative fraction retrievals in a Mediterranean setting}},
      journal = {International Journal of Remote Sensing},
      year    = {2021},
      volume  = {42},
      number  = {5},
      pages   = {1623--1642},
      doi     = {10.1080/01431161.2020.1841319}
    }
  10. 45. Paruta, A., Nasta, P., Ciraolo, G., Capodici, F., Manfreda, S., Romano, N., Ben-Dor, E., Zeng, Y., Maltese, A., Dal Sasso, S. F., & Zhuang, R. (2021). 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.

    Maps near-surface soil moisture via a geostatistical approach using hyper-spatial-resolution thermal inertia.

    soil moisturethermal inertiageostatisticsremote sensing
    DOI
    @article{paruta2021geostatistical,
      author  = {Paruta, A. and Nasta, P. and Ciraolo, G. and Capodici, F. and Manfreda, S. and Romano, N. and Ben-Dor, E. and Zeng, Y. and Maltese, A. and Dal Sasso, S. F. and Zhuang, R.},
      title   = {{A geostatistical approach to map near-surface soil moisture through hyper-spatial resolution thermal inertia}},
      journal = {IEEE Transactions on Geoscience and Remote Sensing},
      year    = {2021},
      volume  = {59},
      number  = {6},
      pages   = {5352--5369},
      doi     = {10.1109/TGRS.2020.3019200}
    }

202012

  1. 46. Pizarro, A., Dal Sasso, S. F., Perks, M., & Manfreda, S. (2020). Identifying the optimal spatial distribution of tracers for optical sensing of stream surface flow. Hydrology and Earth System Sciences, 24, 5173–5185.

    Identifies the optimal spatial distribution of tracers for optical sensing of stream surface flow.

    image velocimetrytracer seedingsurface flowoptimisation
    DOI
    @article{pizarro2020optimal,
      author  = {Pizarro, A. and Dal Sasso, S. F. and Perks, M. and Manfreda, S.},
      title   = {{Identifying the optimal spatial distribution of tracers for optical sensing of stream surface flow}},
      journal = {Hydrology and Earth System Sciences},
      year    = {2020},
      volume  = {24},
      pages   = {5173--5185},
      doi     = {10.5194/hess-24-5173-2020}
    }
  2. 47. Pizarro, A., Dal Sasso, S. F., & Manfreda, S. (2020). Refining image-velocimetry performances for streamflow monitoring: Seeding metrics to errors minimisation. Hydrological Processes, 34(25), 5167–5175.

    Refines image-velocimetry performance for streamflow monitoring by linking seeding metrics to error minimisation.

    image velocimetrystreamflowseeding metricsriver monitoring
    DOI
    @article{pizarro2020refining,
      author  = {Pizarro, A. and Dal Sasso, S. F. and Manfreda, S.},
      title   = {{Refining image-velocimetry performances for streamflow monitoring: Seeding metrics to errors minimisation}},
      journal = {Hydrological Processes},
      year    = {2020},
      volume  = {34},
      number  = {25},
      pages   = {5167--5175},
      doi     = {10.1002/hyp.13919}
    }
  3. 48. Tavares da Costa, R., Zanardo, S., Bagli, S., Hilberts, A. G. J., Manfreda, S., Samela, C., & Castellarin, A. (2020). Predictive modelling of envelope flood extents using geomorphic and climatic-hydrologic catchment characteristics. Water Resources Research.

    Predicts envelope flood extents from geomorphic and climatic-hydrologic catchment characteristics.

    flood mappinggeomorphic featuresflood extentcatchment characteristics
    DOI
    @article{tavares2020envelope,
      author  = {Tavares da Costa, R. and Zanardo, S. and Bagli, S. and Hilberts, A. G. J. and Manfreda, S. and Samela, C. and Castellarin, A.},
      title   = {{Predictive modelling of envelope flood extents using geomorphic and climatic-hydrologic catchment characteristics}},
      journal = {Water Resources Research},
      year    = {2020},
      doi     = {10.1029/2019WR026453}
    }
  4. 49. Albano, R., Samela, C., Crăciun, I., Manfreda, S., Adamowski, J., Sole, A., Sivertun, Å., & Ozunu, A. (2020). Large scale flood risk mapping in data scarce environments: An application for Romania. Water, 12, 1834.

    Applies large-scale flood-risk mapping in data-scarce environments to a case study in Romania.

    flood risk mappingdata-scarce regionsRomanialarge scale
    DOI
    @article{albano2020romania,
      author  = {Albano, R. and Samela, C. and Crăciun, I. and Manfreda, S. and Adamowski, J. and Sole, A. and Sivertun, Å. and Ozunu, A.},
      title   = {{Large scale flood risk mapping in data scarce environments: An application for Romania}},
      journal = {Water},
      year    = {2020},
      volume  = {12},
      pages   = {1834},
      doi     = {10.3390/w12061834}
    }
  5. 50. Dal Sasso, S. F., Pizarro, A., & Manfreda, S. (2020). Metrics for the quantification of seeding characteristics to enhance image velocimetry performance in rivers. Remote Sensing, 12, 1789.

    Defines metrics to quantify seeding characteristics and enhance image-velocimetry performance in rivers.

    image velocimetryseeding metricsriver monitoringremote sensing
    DOI
    @article{dalsasso2020metrics,
      author  = {Dal Sasso, S. F. and Pizarro, A. and Manfreda, S.},
      title   = {{Metrics for the quantification of seeding characteristics to enhance image velocimetry performance in rivers}},
      journal = {Remote Sensing},
      year    = {2020},
      volume  = {12},
      pages   = {1789},
      doi     = {10.3390/rs12111789}
    }
  6. 51. Perks, M. T., Dal Sasso, S. F., Hauet, A., Jamieson, E., Le Coz, J., Pearce, S., Peña-Haro, S., Pizarro, A., Strelnikova, D., Tauro, F., Bomhof, J., Grimaldi, S., … Manfreda, S., … et al. (23 authors) (2020). Towards harmonisation of image velocimetry techniques for river surface velocity observations. Earth System Science Data, 12, 1545–1559.

    Works toward harmonising image-velocimetry techniques for river surface-velocity observations, with a shared dataset.

    image velocimetryharmonisationopen datasetriver monitoring
    DOI
    @article{perks2020harmonisation,
      author  = {Perks, M. T. and Dal Sasso, S. F. and Hauet, A. and Jamieson, E. and Le Coz, J. and Pearce, S. and Peña-Haro, S. and Pizarro, A. and Strelnikova, D. and Tauro, F. and Bomhof, J. and Grimaldi, S. and Goulet, A. and Hortobágyi, B. and Jodeau, M. and Käfer, S. and Ljubičić, R. and Maddock, I. and Mayr, P. and Paulus, G. and Pénard, L. and Sinclair, L. and Manfreda, S.},
      title   = {{Towards harmonisation of image velocimetry techniques for river surface velocity observations}},
      journal = {Earth System Science Data},
      year    = {2020},
      volume  = {12},
      pages   = {1545--1559},
      doi     = {10.5194/essd-12-1545-2020}
    }
  7. 52. Su, Z., Zeng, Y., Romano, N., Manfreda, S., Francés, F., Ben-Dor, E., Szabó, B., Vico, G., Nasta, P., Zhuang, R., Francos, N., Mészáros, J., Dal Sasso, S. F., Bassiouni, M., Zhang, L., Rwasoka, D. T., Retsios, B., Yu, L., Blatchford, M. L., & Mannaerts, C. (2020). An integrative information aqueduct to close the gaps between satellite observation of water cycle and local sustainable management of water resources. Water, 12, 1495.

    Proposes an integrative information “aqueduct” linking satellite water-cycle observation with local water-resource management.

    water cyclesatellite observationwater resourcesintegration
    DOI
    @article{su2020aqueduct,
      author  = {Su, Z. and Zeng, Y. and Romano, N. and Manfreda, S. and Francés, F. and Ben-Dor, E. and Szabó, B. and Vico, G. and Nasta, P. and Zhuang, R. and Francos, N. and Mészáros, J. and Dal Sasso, S. F. and Bassiouni, M. and Zhang, L. and Rwasoka, D. T. and Retsios, B. and Yu, L. and Blatchford, M. L. and Mannaerts, C.},
      title   = {{An integrative information aqueduct to close the gaps between satellite observation of water cycle and local sustainable management of water resources}},
      journal = {Water},
      year    = {2020},
      volume  = {12},
      pages   = {1495},
      doi     = {10.3390/w12051495}
    }
  8. 53. Tmušić, G., Manfreda, S., Aasen, H., James, M., Gonçalves, G., Ben-Dor, E., Brook, A., Polinova, M., Arranz, J. J., Mészáros, J., Zhuang, R., Johansen, K., Malbeteau, Y., de Lima, I. P., Davids, C., Herban, S., & McCabe, M. (2020). Practical guidance for UAS-based environmental mapping. Remote Sensing, 12, 1001.

    Offers practical guidance for UAS-based environmental mapping.

    UAS/dronesenvironmental mappingguidanceremote sensing
    DOI
    @article{tmusic2020guidance,
      author  = {Tmušić, G. and Manfreda, S. and Aasen, H. and James, M. and Gonçalves, G. and Ben-Dor, E. and Brook, A. and Polinova, M. and Arranz, J. J. and Mészáros, J. and Zhuang, R. and Johansen, K. and Malbeteau, Y. and de Lima, I. P. and Davids, C. and Herban, S. and McCabe, M.},
      title   = {{Practical guidance for UAS-based environmental mapping}},
      journal = {Remote Sensing},
      year    = {2020},
      volume  = {12},
      pages   = {1001},
      doi     = {10.3390/rs12061001}
    }
  9. 54. Manfreda, S., Pizarro, A., Moramarco, T., Cimorelli, L., Pianese, D., & Barbetta, S. (2020). Potential advantages of flow-area rating curves compared to classic stage-discharge relations. Journal of Hydrology, 585, 124752.

    Examines the advantages of flow-area rating curves over classic stage-discharge relations.

    rating curvestage-dischargestreamflowriver monitoring
    DOI
    @article{manfreda2020flowarea,
      author  = {Manfreda, S. and Pizarro, A. and Moramarco, T. and Cimorelli, L. and Pianese, D. and Barbetta, S.},
      title   = {{Potential advantages of flow-area rating curves compared to classic stage-discharge relations}},
      journal = {Journal of Hydrology},
      year    = {2020},
      volume  = {585},
      pages   = {124752},
      doi     = {10.1016/j.jhydrol.2020.124752}
    }
  10. 55. Zhuang, R., Zeng, Y., Manfreda, S., & Su, Z. (2020). Quantifying long-term land surface and root zone soil moisture over Tibetan Plateau. Remote Sensing, 12, 509.

    Quantifies long-term land-surface and root-zone soil moisture over the Tibetan Plateau.

    soil moistureroot zoneTibetan Plateauremote sensing
    DOI
    @article{zhuang2020tibetan,
      author  = {Zhuang, R. and Zeng, Y. and Manfreda, S. and Su, Z.},
      title   = {{Quantifying long-term land surface and root zone soil moisture over Tibetan Plateau}},
      journal = {Remote Sensing},
      year    = {2020},
      volume  = {12},
      pages   = {509},
      doi     = {10.3390/rs12030509}
    }
  11. 56. Pizarro, A., Manfreda, S., & Tubaldi, E. (2020). The science behind scour at bridge foundations: A review. Water, 12, 374.

    Reviews the science of scour at bridge foundations.

    bridge scourreviewhydraulicsinfrastructure
    DOI
    @article{pizarro2020scour,
      author  = {Pizarro, A. and Manfreda, S. and Tubaldi, E.},
      title   = {{The science behind scour at bridge foundations: A review}},
      journal = {Water},
      year    = {2020},
      volume  = {12},
      pages   = {374},
      doi     = {10.3390/w12020374}
    }
  12. 57. Pearce, S., Ljubičić, R., Peña-Haro, S., Perks, M., Tauro, F., Pizarro, A., Dal Sasso, S. F., Strelnikova, D., Grimaldi, S., Maddock, I., Paulus, G., Plavšić, J., Prodanović, D., & Manfreda, S. (2020). An evaluation of image velocimetry techniques under low flow conditions and high seeding densities using unmanned aerial systems. Remote Sensing, 12, 232.

    Evaluates image-velocimetry techniques under low-flow conditions and high seeding densities using UAS.

    image velocimetryUAS/droneslow flowseeding density
    DOI
    @article{pearce2020lowflow,
      author  = {Pearce, S. and Ljubičić, R. and Peña-Haro, S. and Perks, M. and Tauro, F. and Pizarro, A. and Dal Sasso, S. F. and Strelnikova, D. and Grimaldi, S. and Maddock, I. and Paulus, G. and Plavšić, J. and Prodanović, D. and Manfreda, S.},
      title   = {{An evaluation of image velocimetry techniques under low flow conditions and high seeding densities using unmanned aerial systems}},
      journal = {Remote Sensing},
      year    = {2020},
      volume  = {12},
      pages   = {232},
      doi     = {10.3390/rs12020232}
    }

20197

  1. 58. Bancheri, M., Rigon, R., & Manfreda, S. (2019). The GEOframe-NewAge modelling system applied in a data scarce environment. Water, 12, 86.

    Applies the GEOframe-NewAge modelling system in a data-scarce environment.

    hydrological modellingGEOframedata-scarce regionswater balance
    DOI
    @article{bancheri2019geoframe,
      author  = {Bancheri, M. and Rigon, R. and Manfreda, S.},
      title   = {{The GEOframe-NewAge modelling system applied in a data scarce environment}},
      journal = {Water},
      year    = {2019},
      volume  = {12},
      pages   = {86},
      doi     = {10.3390/w12010086}
    }
  2. 59. Baldwin, D., Manfreda, S., Lin, H., & Smithwick, E. A. H. (2019). Estimating root zone soil moisture across the Eastern United States with passive microwave satellite data and a simple hydrologic model. Remote Sensing, 11, 2013.

    Estimates root-zone soil moisture over the Eastern US using passive-microwave data and a simple hydrologic model.

    soil moistureroot zonepassive microwaveUnited States
    DOI
    @article{baldwin2019eastern,
      author  = {Baldwin, D. and Manfreda, S. and Lin, H. and Smithwick, E. A. H.},
      title   = {{Estimating root zone soil moisture across the Eastern United States with passive microwave satellite data and a simple hydrologic model}},
      journal = {Remote Sensing},
      year    = {2019},
      volume  = {11},
      pages   = {2013},
      doi     = {10.3390/rs11172013}
    }
  3. 60. Lazzari, M., Piccarreta, M., & Manfreda, S. (2019). The role of antecedent soil moisture conditions on rainfall-triggered shallow landslides. Natural Hazards and Earth System Sciences Discussions.

    Studies the role of antecedent soil-moisture conditions in rainfall-triggered shallow landslides.

    landslidesantecedent soil moisturerainfall thresholdsnatural hazards
    DOI
    @article{lazzari2019landslides,
      author  = {Lazzari, M. and Piccarreta, M. and Manfreda, S.},
      title   = {{The role of antecedent soil moisture conditions on rainfall-triggered shallow landslides}},
      journal = {Natural Hazards and Earth System Sciences Discussions},
      year    = {2019},
      doi     = {10.5194/nhess-2018-371}
    }
  4. 61. Link, O., Mignot, E., Roux, S., Camenen, B., Escauriaza, C., Chauchat, J., Brevis, W., & Manfreda, S. (2019). Scour at bridge foundations in supercritical flows: An analysis of knowledge gaps. Water, 11(8), 1656.

    Analyses knowledge gaps in scour at bridge foundations under supercritical flows.

    bridge scoursupercritical flowhydraulicsreview
    DOI
    @article{link2019supercritical,
      author  = {Link, O. and Mignot, E. and Roux, S. and Camenen, B. and Escauriaza, C. and Chauchat, J. and Brevis, W. and Manfreda, S.},
      title   = {{Scour at bridge foundations in supercritical flows: An analysis of knowledge gaps}},
      journal = {Water},
      year    = {2019},
      volume  = {11},
      number  = {8},
      pages   = {1656},
      doi     = {10.3390/w11081656}
    }
  5. 62. Tavares da Costa, R., Manfreda, S., Luzzi, V., Samela, C., Mazzoli, P., Castellarin, A., & Bagli, S. (2019). A web application for hydrogeomorphic flood hazard mapping. Environmental Modelling and Software.

    Presents a web application for hydrogeomorphic flood-hazard mapping.

    flood hazardweb applicationhydrogeomorphicGIS
    DOI
    @article{tavares2019webapp,
      author  = {Tavares da Costa, R. and Manfreda, S. and Luzzi, V. and Samela, C. and Mazzoli, P. and Castellarin, A. and Bagli, S.},
      title   = {{A web application for hydrogeomorphic flood hazard mapping}},
      journal = {Environmental Modelling and Software},
      year    = {2019},
      doi     = {10.1016/j.envsoft.2019.04.010}
    }
  6. 63. Manfreda, S., & Samela, C. (2019). A DEM-based method for a rapid estimation of flood inundation depth. Journal of Flood Risk Management, 12(Suppl. 1), e12541.

    Proposes a DEM-based method to rapidly estimate flood-inundation depth.

    flood depthDEMflood mappingdata-scarce regions
    DOI
    @article{manfreda2019demdepth,
      author  = {Manfreda, S. and Samela, C.},
      title   = {{A DEM-based method for a rapid estimation of flood inundation depth}},
      journal = {Journal of Flood Risk Management},
      year    = {2019},
      volume  = {12},
      number  = {Suppl. 1},
      pages   = {e12541},
      doi     = {10.1111/jfr3.12541}
    }
  7. 64. Manfreda, S., Dvorak, P., Mullerova, J., Herban, S., Vuono, P., Arranz Justel, J. J., & Perks, M. (2019). Assessing the accuracy of digital surface models derived from optical imagery acquired with unmanned aerial systems. Drones, 3(1), 15.

    Assesses the accuracy of digital surface models derived from UAS optical imagery.

    UAS/dronesdigital surface modelsphotogrammetryaccuracy
    DOI
    @article{manfreda2019dsms,
      author  = {Manfreda, S. and Dvorak, P. and Mullerova, J. and Herban, S. and Vuono, P. and Arranz Justel, J. J. and Perks, M.},
      title   = {{Assessing the accuracy of digital surface models derived from optical imagery acquired with unmanned aerial systems}},
      journal = {Drones},
      year    = {2019},
      volume  = {3},
      number  = {1},
      pages   = {15},
      doi     = {10.3390/drones3010015}
    }

20189

  1. 65. Manfreda, S., Link, O., & Pizarro, A. (2018). The theoretically derived probability distribution of scour. Water, 10, 1520.

    Derives the theoretical probability distribution of bridge-pier scour.

    bridge scourprobability distributionstochastichydraulics
    DOI
    @article{manfreda2018scourdist,
      author  = {Manfreda, S. and Link, O. and Pizarro, A.},
      title   = {{The theoretically derived probability distribution of scour}},
      journal = {Water},
      year    = {2018},
      volume  = {10},
      pages   = {1520},
      doi     = {10.3390/w10111520}
    }
  2. 66. Manfreda, S., Samela, C., Refice, A., Tramutoli, V., & Nardi, F. (2018). Advances in large scale flood monitoring and detection. Hydrology, 5, 49.

    Reviews advances in large-scale flood monitoring and detection.

    flood monitoringflood detectionlarge scaleremote sensing
    DOI
    @article{manfreda2018advances,
      author  = {Manfreda, S. and Samela, C. and Refice, A. and Tramutoli, V. and Nardi, F.},
      title   = {{Advances in large scale flood monitoring and detection}},
      journal = {Hydrology},
      year    = {2018},
      volume  = {5},
      pages   = {49},
      doi     = {10.3390/hydrology5030049}
    }
  3. 67. Dal Sasso, S. F., Pizarro, A., Samela, C., Mita, L., & Manfreda, S. (2018). Exploring the optimal experimental setup for surface flow velocity measurements using PTV. Environmental Monitoring and Assessment, 190, 460.

    Explores the optimal experimental setup for surface-flow velocity measurements using PTV.

    PTVimage velocimetrysurface flowexperimental design
    DOI
    @article{dalsasso2018ptv,
      author  = {Dal Sasso, S. F. and Pizarro, A. and Samela, C. and Mita, L. and Manfreda, S.},
      title   = {{Exploring the optimal experimental setup for surface flow velocity measurements using PTV}},
      journal = {Environmental Monitoring and Assessment},
      year    = {2018},
      volume  = {190},
      pages   = {460},
      doi     = {10.1007/s10661-018-6848-3}
    }
  4. 68. Manfreda, S., Iacobellis, V., Gioia, A., Fiorentino, M., & Kochanek, K. (2018). Impact of climate on hydrological extremes. Water, 10(6), 802.

    Assesses the impact of climate on hydrological extremes.

    hydrological extremesclimateflood frequencystochastic hydrology
    DOI
    @article{manfreda2018climate,
      author  = {Manfreda, S. and Iacobellis, V. and Gioia, A. and Fiorentino, M. and Kochanek, K.},
      title   = {{Impact of climate on hydrological extremes}},
      journal = {Water},
      year    = {2018},
      volume  = {10},
      number  = {6},
      pages   = {802},
      doi     = {10.3390/w10060802}
    }
  5. 69. Manfreda, S. (2018). On the derivation of flow rating-curves in data-scarce environments. Journal of Hydrology, 562, 151–154.

    Discusses deriving flow rating-curves in data-scarce environments.

    rating curvedata-scarce regionsstreamflowriver monitoring
    DOI
    @article{manfreda2018ratingcurves,
      author  = {Manfreda, S.},
      title   = {{On the derivation of flow rating-curves in data-scarce environments}},
      journal = {Journal of Hydrology},
      year    = {2018},
      volume  = {562},
      pages   = {151--154},
      doi     = {10.1016/j.jhydrol.2018.04.058}
    }
  6. 70. Manfreda, S., McCabe, M. F., Miller, P. E., Lucas, R., Pajuelo Madrigal, V., Mallinis, G., Ben-Dor, E., Helman, D., Estes, L., Ciraolo, G., Müllerová, J., Tauro, F., … et al. (23 authors) (2018). On the use of unmanned aerial systems for environmental monitoring. Remote Sensing, 10(4), 641.

    A wide-ranging review on the use of unmanned aerial systems for environmental monitoring.

    UAS/dronesenvironmental monitoringreviewremote sensing
    DOI
    @article{manfreda2018uas,
      author  = {Manfreda, S. and McCabe, M. F. and Miller, P. E. and Lucas, R. and Pajuelo Madrigal, V. and Mallinis, G. and Ben-Dor, E. and Helman, D. and Estes, L. and Ciraolo, G. and Müllerová, J. and Tauro, F. and de Lima, M. I. and de Lima, J. L. M. P. and Maltese, A. and Frances, F. and Caylor, K. and Kohv, M. and Perks, M. and Ruiz-Pérez, G. and Su, Z. and Vico, G. and Toth, B.},
      title   = {{On the use of unmanned aerial systems for environmental monitoring}},
      journal = {Remote Sensing},
      year    = {2018},
      volume  = {10},
      number  = {4},
      pages   = {641},
      doi     = {10.3390/rs10040641}
    }
  7. 71. Manfreda, S., Mita, L., Dal Sasso, S. F., Samela, C., & Mancusi, L. (2018). Exploiting the use of physical information for the calibration of a lumped hydrological model. Hydrological Processes, 32(10), 1420–1433.

    Uses physical information to calibrate a lumped hydrological model.

    hydrological modellingmodel calibrationlumped modelwater balance
    DOI
    @article{manfreda2018physical,
      author  = {Manfreda, S. and Mita, L. and Dal Sasso, S. F. and Samela, C. and Mancusi, L.},
      title   = {{Exploiting the use of physical information for the calibration of a lumped hydrological model}},
      journal = {Hydrological Processes},
      year    = {2018},
      volume  = {32},
      number  = {10},
      pages   = {1420--1433},
      doi     = {10.1002/hyp.11501}
    }
  8. 72. Samela, C., Albano, R., Sole, A., & Manfreda, S. (2018). A GIS tool for cost-effective delineation of flood-prone areas. Computers, Environment and Urban Systems, 70, 43–52.

    Introduces a GIS tool for cost-effective delineation of flood-prone areas.

    Geomorphic Flood IndexGIS toolflood mappingdata-scarce regions
    DOI
    @article{samela2018gistool,
      author  = {Samela, C. and Albano, R. and Sole, A. and Manfreda, S.},
      title   = {{A GIS tool for cost-effective delineation of flood-prone areas}},
      journal = {Computers, Environment and Urban Systems},
      year    = {2018},
      volume  = {70},
      pages   = {43--52},
      doi     = {10.1016/j.compenvurbsys.2018.01.013}
    }
  9. 73. 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., … et al. (26 authors) (2018). Measurements and observations in the XXI century (MOXXI): Innovation and multidisciplinarity to disclose the hydrological cycle. Hydrological Sciences Journal, 63(2), 169–196.

    The MOXXI manifesto on innovative, multidisciplinary measurements and observations of the hydrological cycle.

    MOXXIhydrological monitoringinnovationmeasurement
    DOI
    @article{tauro2018moxxi,
      author  = {Tauro, F. and Selker, J. and van de Giesen, N. and Abrate, T. and Uijlenhoet, R. and Porfiri, M. and Manfreda, S. and Caylor, K. and Moramarco, T. and Benveniste, J. and Ciraolo, G. and Estes, L. and Domeneghetti, A. and Perks, M. T. and Corbari, C. and Rabiei, E. and Ravazzani, G. and Bogena, H. and Harfouche, A. and Brocca, L. and Maltese, A. and Wickert, A. and Cudennec, C. and Blume, T. and Hut, R. and Grimaldi, S.},
      title   = {{Measurements and observations in the XXI century (MOXXI): Innovation and multidisciplinarity to disclose the hydrological cycle}},
      journal = {Hydrological Sciences Journal},
      year    = {2018},
      volume  = {63},
      number  = {2},
      pages   = {169--196},
      doi     = {10.1080/02626667.2017.1420191}
    }

201710

  1. 74. Pizarro, A., Samela, C., Fiorentino, M., Link, O., & Manfreda, S. (2017). BRISENT: An entropy-based model for bridge-pier scour estimation under complex hydraulic scenarios. Water, 9(11), 889.

    Presents BRISENT, an entropy-based model for bridge-pier scour under complex hydraulic scenarios.

    bridge scourentropyhydraulicsmodelling
    DOI
    @article{pizarro2017brisent,
      author  = {Pizarro, A. and Samela, C. and Fiorentino, M. and Link, O. and Manfreda, S.},
      title   = {{BRISENT: An entropy-based model for bridge-pier scour estimation under complex hydraulic scenarios}},
      journal = {Water},
      year    = {2017},
      volume  = {9},
      number  = {11},
      pages   = {889},
      doi     = {10.3390/w9110889}
    }
  2. 75. Ruiz-Pérez, G., Koch, J., Manfreda, S., Caylor, K. K., & Francés, F. (2017). Calibration of a parsimonious distributed ecohydrological daily model in a data scarce basin using exclusively the spatio-temporal variation of NDVI. Hydrology and Earth System Sciences, 21, 6235–6251.

    Calibrates a parsimonious distributed ecohydrological model in a data-scarce basin using only NDVI variation.

    ecohydrologymodel calibrationNDVIdata-scarce regions
    DOI
    @article{ruizperez2017ndvi,
      author  = {Ruiz-Pérez, G. and Koch, J. and Manfreda, S. and Caylor, K. K. and Francés, F.},
      title   = {{Calibration of a parsimonious distributed ecohydrological daily model in a data scarce basin using exclusively the spatio-temporal variation of NDVI}},
      journal = {Hydrology and Earth System Sciences},
      year    = {2017},
      volume  = {21},
      pages   = {6235--6251},
      doi     = {10.5194/hess-21-6235-2017}
    }
  3. 76. Faridani, F., Farid, A., Ansari, H., & Manfreda, S. (2017). A modified version of the SMAR model for estimating root-zone soil moisture from time series of surface soil moisture. Water SA, 43(3).

    Modifies the SMAR model to estimate root-zone soil moisture from surface soil-moisture time series.

    soil moistureSMARroot zonemodelling
    DOI
    @article{faridani2017smar,
      author  = {Faridani, F. and Farid, A. and Ansari, H. and Manfreda, S.},
      title   = {{A modified version of the SMAR model for estimating root-zone soil moisture from time series of surface soil moisture}},
      journal = {Water SA},
      year    = {2017},
      volume  = {43},
      number  = {3},
      doi     = {10.4314/wsa.v43i3.14}
    }
  4. 77. Albano, R., Manfreda, S., & Celano, G. (2017). MYSIRR: Minimalist agro-hYdrological model for Sustainable IRRigation management — soil moisture and crop dynamics. SoftwareX, 6, 107–117.

    Introduces MYSIRR, a minimalist agro-hydrological model for sustainable irrigation, soil moisture and crop dynamics.

    irrigationagro-hydrologysoil moisturesoftware
    DOI
    @article{albano2017mysirr,
      author  = {Albano, R. and Manfreda, S. and Celano, G.},
      title   = {{MYSIRR: Minimalist agro-hYdrological model for Sustainable IRRigation management -- soil moisture and crop dynamics}},
      journal = {SoftwareX},
      year    = {2017},
      volume  = {6},
      pages   = {107--117},
      doi     = {10.1016/j.softx.2017.04.005}
    }
  5. 78. Samela, C., Troy, T. J., & Manfreda, S. (2017). Geomorphic classifiers for flood-prone areas delineation for data-scarce environments. Advances in Water Resources, 102, 13–28.

    Develops geomorphic classifiers to delineate flood-prone areas in data-scarce environments.

    Geomorphic Flood Indexflood mappingclassifiersdata-scarce regions
    DOI
    @article{samela2017classifiers,
      author  = {Samela, C. and Troy, T. J. and Manfreda, S.},
      title   = {{Geomorphic classifiers for flood-prone areas delineation for data-scarce environments}},
      journal = {Advances in Water Resources},
      year    = {2017},
      volume  = {102},
      pages   = {13--28},
      doi     = {10.1016/j.advwatres.2017.01.007}
    }
  6. 79. Samela, C., Manfreda, S., & Troy, T. J. (2017). 100-year geomorphic flood-prone areas for the continental U.S.. Data in Brief, 12, 203–207.

    Provides a 100-year geomorphic flood-prone area dataset for the continental United States.

    flood mappingopen datasetgeomorphic featuresUnited States
    DOI
    @article{samela2017dib,
      author  = {Samela, C. and Manfreda, S. and Troy, T. J.},
      title   = {{100-year geomorphic flood-prone areas for the continental U.S.}},
      journal = {Data in Brief},
      year    = {2017},
      volume  = {12},
      pages   = {203--207},
      doi     = {10.1016/j.dib.2017.03.044}
    }
  7. 80. Baldwin, D., Manfreda, S., Keller, K., & Smithwick, E. A. H. (2017). Predicting root zone soil moisture with soil properties and satellite near-surface moisture data at locations across the United States. Journal of Hydrology, 546, 393–404.

    Predicts root-zone soil moisture from soil properties and satellite near-surface data across the US.

    soil moistureroot zonesatelliteUnited States
    DOI
    @article{baldwin2017predicting,
      author  = {Baldwin, D. and Manfreda, S. and Keller, K. and Smithwick, E. A. H.},
      title   = {{Predicting root zone soil moisture with soil properties and satellite near-surface moisture data at locations across the United States}},
      journal = {Journal of Hydrology},
      year    = {2017},
      volume  = {546},
      pages   = {393--404},
      doi     = {10.1016/j.jhydrol.2017.01.020}
    }
  8. 81. Gioia, A., Manfreda, S., Iacobellis, V., & Fiorentino, M. (2017). Comparison of different methods describing the peak runoff contributing areas during floods. Hydrological Processes, 31(11), 2041–2049.

    Compares methods describing peak runoff contributing areas during floods.

    runoffcontributing areaflood frequencystochastic hydrology
    DOI
    @article{gioia2017peakrunoff,
      author  = {Gioia, A. and Manfreda, S. and Iacobellis, V. and Fiorentino, M.},
      title   = {{Comparison of different methods describing the peak runoff contributing areas during floods}},
      journal = {Hydrological Processes},
      year    = {2017},
      volume  = {31},
      number  = {11},
      pages   = {2041--2049},
      doi     = {10.1002/hyp.11169}
    }
  9. 82. Pizarro, A., Ettmer, B., Manfreda, S., Rojas, A., & Link, O. (2017). Effective Flow Work for Estimation of Pier Scour under Flood Waves. Journal of Hydraulic Engineering, 143(6), 06017006.

    Introduces Effective Flow Work to estimate pier scour under flood waves.

    bridge scourflood waveshydraulicsmodelling
    DOI
    @article{pizarro2017efw,
      author  = {Pizarro, A. and Ettmer, B. and Manfreda, S. and Rojas, A. and Link, O.},
      title   = {{Effective Flow Work for Estimation of Pier Scour under Flood Waves}},
      journal = {Journal of Hydraulic Engineering},
      year    = {2017},
      volume  = {143},
      number  = {6},
      pages   = {06017006},
      doi     = {10.1061/(ASCE)HY.1943-7900.0001295}
    }
  10. 83. Manfreda, S., Caylor, K. K., & Good, S. (2017). An Ecohydrological framework to explain shifts in vegetation organization across climatological gradients. Ecohydrology, 10(3), 1–14.

    Proposes an ecohydrological framework explaining shifts in vegetation organization along climatological gradients.

    ecohydrologyvegetation patternsclimate gradientsframework
    DOI
    @article{manfreda2017ecohydro,
      author  = {Manfreda, S. and Caylor, K. K. and Good, S.},
      title   = {{An Ecohydrological framework to explain shifts in vegetation organization across climatological gradients}},
      journal = {Ecohydrology},
      year    = {2017},
      volume  = {10},
      number  = {3},
      pages   = {1--14},
      doi     = {10.1002/eco.1809}
    }

20164

  1. 84. Link, O., Castillo, C., Pizarro, A., Rojas, A., Escauriaza, C., Ettmer, B., & Manfreda, S. (2016). A Model for Local scour during Flood Waves. Journal of Hydraulic Research, 55(3), 310–323.

    Develops a model for local bridge-pier scour during flood waves.

    bridge scourflood waveshydraulicsmodelling
    DOI
    @article{link2016localscour,
      author  = {Link, O. and Castillo, C. and Pizarro, A. and Rojas, A. and Escauriaza, C. and Ettmer, B. and Manfreda, S.},
      title   = {{A Model for Local scour during Flood Waves}},
      journal = {Journal of Hydraulic Research},
      year    = {2016},
      volume  = {55},
      number  = {3},
      pages   = {310--323},
      doi     = {10.1080/00221686.2016.1252802}
    }
  2. 85. Faridani, F., Farid, A., Ansari, H., & Manfreda, S. (2016). Estimation of the root-zone soil moisture using passive microwave remote sensing and SMAR model. Journal of Irrigation and Drainage Engineering, 142(6), 04016070.

    Estimates root-zone soil moisture combining passive-microwave remote sensing with the SMAR model.

    soil moistureSMARpassive microwaveirrigation
    DOI
    @article{faridani2016smarestimation,
      author  = {Faridani, F. and Farid, A. and Ansari, H. and Manfreda, S.},
      title   = {{Estimation of the root-zone soil moisture using passive microwave remote sensing and SMAR model}},
      journal = {Journal of Irrigation and Drainage Engineering},
      year    = {2016},
      volume  = {142},
      number  = {6},
      pages   = {04016070},
      doi     = {10.1061/(ASCE)IR.1943-4774.0001115}
    }
  3. 86. D’Addabbo, A., Refice, A., Pasquariello, G., Lovergine, F., Capolongo, D., & Manfreda, S. (2016). A Bayesian Network for Flood Detection Combining SAR Imagery and Ancillary Data. IEEE Transactions on Geoscience and Remote Sensing, 54(6), 3612–3625.

    Builds a Bayesian Network for flood detection combining SAR imagery with ancillary data.

    flood detectionSARBayesian networkremote sensing
    DOI
    @article{daddabbo2016bayesian,
      author  = {D'Addabbo, A. and Refice, A. and Pasquariello, G. and Lovergine, F. and Capolongo, D. and Manfreda, S.},
      title   = {{A Bayesian Network for Flood Detection Combining SAR Imagery and Ancillary Data}},
      journal = {IEEE Transactions on Geoscience and Remote Sensing},
      year    = {2016},
      volume  = {54},
      number  = {6},
      pages   = {3612--3625},
      doi     = {10.1109/TGRS.2016.2520487}
    }
  4. 87. Samela, C., Manfreda, S., De Paola, F., Giugni, M., Sole, A., & Fiorentino, M. (2016). DEM-based approaches for the delineation of flood prone areas in an ungauged basin in Africa. Journal of Hydrologic Engineering, 21(2).

    Tests DEM-based approaches to delineate flood-prone areas in an ungauged African basin.

    flood mappingDEMungauged basinAfrica
    DOI
    @article{samela2016africa,
      author  = {Samela, C. and Manfreda, S. and De Paola, F. and Giugni, M. and Sole, A. and Fiorentino, M.},
      title   = {{DEM-based approaches for the delineation of flood prone areas in an ungauged basin in Africa}},
      journal = {Journal of Hydrologic Engineering},
      year    = {2016},
      volume  = {21},
      number  = {2},
      doi     = {10.1061/(ASCE)HE.1943-5584.0001272}
    }

20152

  1. 88. Calamita, G., Perrone, A., Brocca, L., Onorati, B., & Manfreda, S. (2015). Field test of a multi-frequency electromagnetic induction sensor for soil moisture monitoring in southern Italy test sites. Journal of Hydrology, 529(1), 316–329.

    Field-tests a multi-frequency electromagnetic-induction sensor for soil-moisture monitoring in southern Italy.

    soil moistureelectromagnetic inductionfield monitoringsensors
    DOI
    @article{calamita2015emi,
      author  = {Calamita, G. and Perrone, A. and Brocca, L. and Onorati, B. and Manfreda, S.},
      title   = {{Field test of a multi-frequency electromagnetic induction sensor for soil moisture monitoring in southern Italy test sites}},
      journal = {Journal of Hydrology},
      year    = {2015},
      volume  = {529},
      number  = {1},
      pages   = {316--329},
      doi     = {10.1016/j.jhydrol.2015.07.023}
    }
  2. 89. Manfreda, S., Samela, C., Gioia, A., Consoli, G., Iacobellis, V., Giuzio, L., Cantisani, A., & Sole, A. (2015). Flood-Prone Areas Assessment Using Linear Binary Classifiers based on flood maps obtained from 1D and 2D hydraulic models. Natural Hazards, 79(2), 735–754.

    Assesses flood-prone areas with linear binary classifiers trained on 1D/2D hydraulic flood maps.

    flood mappinglinear binary classifiershydraulic modelsDEM
    DOI
    @article{manfreda2015lbc,
      author  = {Manfreda, S. and Samela, C. and Gioia, A. and Consoli, G. and Iacobellis, V. and Giuzio, L. and Cantisani, A. and Sole, A.},
      title   = {{Flood-Prone Areas Assessment Using Linear Binary Classifiers based on flood maps obtained from 1D and 2D hydraulic models}},
      journal = {Natural Hazards},
      year    = {2015},
      volume  = {79},
      number  = {2},
      pages   = {735--754},
      doi     = {10.1007/s11069-015-1869-5}
    }

20143

  1. 90. Manfreda, S., Nardi, F., Samela, C., Grimaldi, S., Taramasso, A. C., Roth, G., & Sole, A. (2014). Investigation on the Use of Geomorphic Approaches for the Delineation of Flood Prone Areas. Journal of Hydrology, 517, 863–876.

    Investigates geomorphic approaches for delineating flood-prone areas.

    Geomorphic Flood Indexflood mappingDEMgeomorphic features
    DOI
    @article{manfreda2014geomorphic,
      author  = {Manfreda, S. and Nardi, F. and Samela, C. and Grimaldi, S. and Taramasso, A. C. and Roth, G. and Sole, A.},
      title   = {{Investigation on the Use of Geomorphic Approaches for the Delineation of Flood Prone Areas}},
      journal = {Journal of Hydrology},
      year    = {2014},
      volume  = {517},
      pages   = {863--876},
      doi     = {10.1016/j.jhydrol.2014.06.009}
    }
  2. 91. Gioia, A., Manfreda, S., Iacobellis, V., & Fiorentino, M. (2014). Performance of a theoretical model for the description of the water balance and runoff dynamics in Southern Italy. Journal of Hydrologic Engineering, 19(6), 1113–1123.

    Evaluates a theoretical model of water balance and runoff dynamics in Southern Italy.

    water balancerunofftheoretical modelSouthern Italy
    DOI
    @article{gioia2014performance,
      author  = {Gioia, A. and Manfreda, S. and Iacobellis, V. and Fiorentino, M.},
      title   = {{Performance of a theoretical model for the description of the water balance and runoff dynamics in Southern Italy}},
      journal = {Journal of Hydrologic Engineering},
      year    = {2014},
      volume  = {19},
      number  = {6},
      pages   = {1113--1123},
      doi     = {10.1061/(ASCE)HE.1943-5584.0000879}
    }
  3. 92. Manfreda, S., Brocca, L., Moramarco, T., Melone, F., & Sheffield, J. (2014). A physically based approach for the estimation of root-zone soil moisture from surface measurements. Hydrology and Earth System Sciences, 18(3), 1199–1212.

    Presents a physically based approach (the SMAR relationship) to estimate root-zone soil moisture from surface measurements.

    soil moistureroot zoneSMARphysically based model
    DOI
    @article{manfreda2014rootzone,
      author  = {Manfreda, S. and Brocca, L. and Moramarco, T. and Melone, F. and Sheffield, J.},
      title   = {{A physically based approach for the estimation of root-zone soil moisture from surface measurements}},
      journal = {Hydrology and Earth System Sciences},
      year    = {2014},
      volume  = {18},
      number  = {3},
      pages   = {1199--1212},
      doi     = {10.5194/hess-18-1199-2014}
    }

20133

  1. 93. Manfreda, S., & Caylor, K. K. (2013). On The Vulnerability of Water Limited Ecosystems to Climate Change. Water, 5(2), 819–833.

    Examines the vulnerability of water-limited ecosystems to climate change.

    ecohydrologyclimate changewater-limited ecosystemsvegetation
    DOI
    @article{manfreda2013vulnerability,
      author  = {Manfreda, S. and Caylor, K. K.},
      title   = {{On The Vulnerability of Water Limited Ecosystems to Climate Change}},
      journal = {Water},
      year    = {2013},
      volume  = {5},
      number  = {2},
      pages   = {819--833},
      doi     = {10.3390/w5020819}
    }
  2. 94. Manfreda, S. (2013). The Water Management in the Present Century. Hydrology Current Research, 4(1).

    An editorial perspective on water management challenges in the present century.

    water managementeditorialwater resources
    DOI
    @article{manfreda2013watermanagement,
      author  = {Manfreda, S.},
      title   = {{The Water Management in the Present Century}},
      journal = {Hydrology Current Research},
      year    = {2013},
      volume  = {4},
      number  = {1},
      doi     = {10.4172/2157-7587.1000e105}
    }
  3. 95. Manfreda, S., & Sole, A. (2013). Closure to Detection of Flood-Prone Areas Using Digital Elevation Models by Salvatore Manfreda, Margherita Di Leo, and Aurelia Sole. Journal of Hydrologic Engineering, 18(3), 362–365.

    Authors’ closure to the discussion of their DEM-based flood-prone area detection method.

    flood mappingDEMdiscussiontopographic index
    @article{manfreda2013closure,
      author  = {Manfreda, S. and Sole, A.},
      title   = {{Closure to Detection of Flood-Prone Areas Using Digital Elevation Models by Salvatore Manfreda, Margherita Di Leo, and Aurelia Sole}},
      journal = {Journal of Hydrologic Engineering},
      year    = {2013},
      volume  = {18},
      number  = {3},
      pages   = {362--365}
    }

20121

  1. 96. Gioia, A., Iacobellis, V., Manfreda, S., & Fiorentino, M. (2012). Influence of infiltration and soil storage capacity on the skewness of the annual maximum flood peaks in a theoretically derived distribution. Hydrology and Earth System Sciences, 16(4), 937–951.

    Studies how infiltration and soil storage capacity influence the skewness of annual maximum flood peaks.

    flood frequencyinfiltrationtheoretical distributionstochastic hydrology
    DOI
    @article{gioia2012infiltration,
      author  = {Gioia, A. and Iacobellis, V. and Manfreda, S. and Fiorentino, M.},
      title   = {{Influence of infiltration and soil storage capacity on the skewness of the annual maximum flood peaks in a theoretically derived distribution}},
      journal = {Hydrology and Earth System Sciences},
      year    = {2012},
      volume  = {16},
      number  = {4},
      pages   = {937--951},
      doi     = {10.5194/hess-16-937-2012}
    }

20114

  1. 97. Manfreda, S., Lacava, T., Onorati, B., Pergola, N., Di Leo, M., Margiotta, M. R., & Tramutoli, V. (2011). On the use of AMSU-based products for the description of soil water content at basin scale. Hydrology and Earth System Sciences, 15(9), 2839–2852.

    Explores AMSU-based satellite products to describe soil water content at the basin scale.

    soil moistureAMSUremote sensingbasin scale
    DOI
    @article{manfreda2011amsu,
      author  = {Manfreda, S. and Lacava, T. and Onorati, B. and Pergola, N. and Di Leo, M. and Margiotta, M. R. and Tramutoli, V.},
      title   = {{On the use of AMSU-based products for the description of soil water content at basin scale}},
      journal = {Hydrology and Earth System Sciences},
      year    = {2011},
      volume  = {15},
      number  = {9},
      pages   = {2839--2852},
      doi     = {10.5194/hess-15-2839-2011}
    }
  2. 98. Manfreda, S., Di Leo, M., & Sole, A. (2011). Detection of Flood Prone Areas using Digital Elevation Models. Journal of Hydrologic Engineering, 16(10), 781–790.

    Introduces a DEM-based method using a modified topographic index to detect flood-prone areas.

    flood mappingDEMtopographic indexdata-scarce regions
    DOI
    @article{manfreda2011dem,
      author  = {Manfreda, S. and Di Leo, M. and Sole, A.},
      title   = {{Detection of Flood Prone Areas using Digital Elevation Models}},
      journal = {Journal of Hydrologic Engineering},
      year    = {2011},
      volume  = {16},
      number  = {10},
      pages   = {781--790},
      doi     = {10.1061/(ASCE)HE.1943-5584.0000367}
    }
  3. 99. Iacobellis, V., Gioia, A., Manfreda, S., & Fiorentino, M. (2011). Flood quantiles estimation based on theoretically derived distributions: regional analysis in Southern Italy. Natural Hazards and Earth System Sciences, 11(3), 673–695.

    Estimates flood quantiles via theoretically derived distributions in a regional analysis of Southern Italy.

    flood frequencyflood quantilesregional analysisSouthern Italy
    DOI
    @article{iacobellis2011floodquantiles,
      author  = {Iacobellis, V. and Gioia, A. and Manfreda, S. and Fiorentino, M.},
      title   = {{Flood quantiles estimation based on theoretically derived distributions: regional analysis in Southern Italy}},
      journal = {Natural Hazards and Earth System Sciences},
      year    = {2011},
      volume  = {11},
      number  = {3},
      pages   = {673--695},
      doi     = {10.5194/nhess-11-673-2011}
    }
  4. 100. Fiorentino, M., Gioia, A., Iacobellis, V., & Manfreda, S. (2011). Regional analysis of runoff thresholds behaviour in Southern Italy based on theoretically derived distributions. Advances in Geosciences, 26, 139–144.

    Performs a regional analysis of runoff-threshold behaviour in Southern Italy using theoretical distributions.

    runoff thresholdsflood frequencyregional analysisSouthern Italy
    DOI
    @article{fiorentino2011runoff,
      author  = {Fiorentino, M. and Gioia, A. and Iacobellis, V. and Manfreda, S.},
      title   = {{Regional analysis of runoff thresholds behaviour in Southern Italy based on theoretically derived distributions}},
      journal = {Advances in Geosciences},
      year    = {2011},
      volume  = {26},
      pages   = {139--144},
      doi     = {10.5194/adgeo-26-139-2011}
    }

20103

  1. 101. Iacobellis, V., Fiorentino, M., Gioia, A., & Manfreda, S. (2010). Best Fit and Selection of Theoretical Flood Frequency Distributions Based on Different Runoff Generation Mechanisms. Water, 2(2), 239–256.

    Compares and selects theoretical flood-frequency distributions based on different runoff-generation mechanisms.

    flood frequencyrunoff generationtheoretical distributionmodel selection
    DOI
    @article{iacobellis2010bestfit,
      author  = {Iacobellis, V. and Fiorentino, M. and Gioia, A. and Manfreda, S.},
      title   = {{Best Fit and Selection of Theoretical Flood Frequency Distributions Based on Different Runoff Generation Mechanisms}},
      journal = {Water},
      year    = {2010},
      volume  = {2},
      number  = {2},
      pages   = {239--256},
      doi     = {10.3390/w2020239}
    }
  2. 102. Manfreda, S., Smettem, K., Iacobellis, V., Montaldo, N., & Sivapalan, M. (2010). Preface of the special issue: Coupled Ecological-Hydrological Processes. Ecohydrology, 3(2), 131–132.

    Preface to the special issue on coupled ecological-hydrological processes.

    ecohydrologyspecial issuepreface
    DOI
    @article{manfreda2010preface,
      author  = {Manfreda, S. and Smettem, K. and Iacobellis, V. and Montaldo, N. and Sivapalan, M.},
      title   = {{Preface of the special issue: Coupled Ecological-Hydrological Processes}},
      journal = {Ecohydrology},
      year    = {2010},
      volume  = {3},
      number  = {2},
      pages   = {131--132},
      doi     = {10.1002/eco.131}
    }
  3. 103. Manfreda, S., Scanlon, T. M., & Caylor, K. K. (2010). On the importance of accurate depiction of infiltration processes on modelled soil moisture and vegetation water stress. Ecohydrology, 3(2), 155–165.

    Shows why accurate infiltration representation matters for modelled soil moisture and vegetation water stress.

    ecohydrologyinfiltrationsoil moisturevegetation water stress
    DOI
    @article{manfreda2010infiltration,
      author  = {Manfreda, S. and Scanlon, T. M. and Caylor, K. K.},
      title   = {{On the importance of accurate depiction of infiltration processes on modelled soil moisture and vegetation water stress}},
      journal = {Ecohydrology},
      year    = {2010},
      volume  = {3},
      number  = {2},
      pages   = {155--165},
      doi     = {10.1002/eco.79}
    }

20093

  1. 104. Manfreda, S. (2009). Ecohydrology: a New Interdisciplinary Approach to Investigate on Climate-Soil-Vegetation Interactions. Annals of Arid Zone, 48(3–4), 219–228.

    Reviews ecohydrology as an interdisciplinary approach to climate-soil-vegetation interactions.

    ecohydrologyclimate-soil-vegetationreviewinterdisciplinary
    @article{manfreda2009aridzone,
      author  = {Manfreda, S.},
      title   = {{Ecohydrology: a New Interdisciplinary Approach to Investigate on Climate-Soil-Vegetation Interactions}},
      journal = {Annals of Arid Zone},
      year    = {2009},
      volume  = {48},
      number  = {3--4},
      pages   = {219--228}
    }
  2. 105. Gigante, V., Milella, P., Iacobellis, V., Manfreda, S., & Portoghese, I. (2009). Influences of Leaf Area Index estimations on the soil water balance predictions in Mediterranean regions. Natural Hazards and Earth System Sciences, 9(3), 979–991.

    Assesses how Leaf Area Index estimates influence soil-water-balance predictions in Mediterranean regions.

    leaf area indexsoil water balanceMediterraneanecohydrology
    DOI
    @article{gigante2009lai,
      author  = {Gigante, V. and Milella, P. and Iacobellis, V. and Manfreda, S. and Portoghese, I.},
      title   = {{Influences of Leaf Area Index estimations on the soil water balance predictions in Mediterranean regions}},
      journal = {Natural Hazards and Earth System Sciences},
      year    = {2009},
      volume  = {9},
      number  = {3},
      pages   = {979--991},
      doi     = {10.5194/nhess-9-979-2009}
    }
  3. 106. Carone, M. T., Simoniello, T., Manfreda, S., & Caricato, G. (2009). Watershed influence on fluvial ecosystems: an integrated methodology for river water quality management. Environmental Monitoring and Assessment, 152(1–4), 327–342.

    Proposes an integrated methodology linking watershed processes to river water-quality management.

    water qualityfluvial ecosystemswatershed managementrunoff
    DOI
    @article{carone2009watershed,
      author  = {Carone, M. T. and Simoniello, T. and Manfreda, S. and Caricato, G.},
      title   = {{Watershed influence on fluvial ecosystems: an integrated methodology for river water quality management}},
      journal = {Environmental Monitoring and Assessment},
      year    = {2009},
      volume  = {152},
      number  = {1--4},
      pages   = {327--342},
      doi     = {10.1007/s10661-008-0319-1}
    }

20084

  1. 107. Manfreda, S. (2008). Runoff Generation Dynamics within a Humid River Basin. Natural Hazards and Earth System Sciences, 8(6), 1349–1357.

    Analyses runoff-generation dynamics within a humid river basin.

    runoff generationriver basinstochastic hydrologyflood processes
    DOI
    @article{manfreda2008runoff,
      author  = {Manfreda, S.},
      title   = {{Runoff Generation Dynamics within a Humid River Basin}},
      journal = {Natural Hazards and Earth System Sciences},
      year    = {2008},
      volume  = {8},
      number  = {6},
      pages   = {1349--1357},
      doi     = {10.5194/nhess-8-1349-2008}
    }
  2. 108. Manfreda, S., & Fiorentino, M. (2008). A Stochastic Approach for the Description of the Water Balance Dynamics in a River Basin. Hydrology and Earth System Sciences, 12(5), 1189–1200.

    Develops a stochastic approach to describe water-balance dynamics in a river basin.

    water balancestochastic hydrologyriver basinsoil moisture
    DOI
    @article{manfreda2008stochastic,
      author  = {Manfreda, S. and Fiorentino, M.},
      title   = {{A Stochastic Approach for the Description of the Water Balance Dynamics in a River Basin}},
      journal = {Hydrology and Earth System Sciences},
      year    = {2008},
      volume  = {12},
      number  = {5},
      pages   = {1189--1200},
      doi     = {10.5194/hess-12-1189-2008}
    }
  3. 109. Gioia, A., Iacobellis, V., Manfreda, S., & Fiorentino, M. (2008). Runoff thresholds in derived flood frequency distributions. Hydrology and Earth System Sciences, 12(6), 1295–1307.

    Introduces runoff thresholds within derived flood-frequency distributions.

    runoff thresholdsflood frequencyderived distributionstochastic hydrology
    DOI
    @article{gioia2008runoff,
      author  = {Gioia, A. and Iacobellis, V. and Manfreda, S. and Fiorentino, M.},
      title   = {{Runoff thresholds in derived flood frequency distributions}},
      journal = {Hydrology and Earth System Sciences},
      year    = {2008},
      volume  = {12},
      number  = {6},
      pages   = {1295--1307},
      doi     = {10.5194/hess-12-1295-2008}
    }
  4. 110. Sofo, A., Manfreda, S., Dichio, B., Fiorentino, M., & Xiloyannis, C. (2008). The Olive Tree: a Paradigm for Drought Tolerance in Mediterranean Climates. Hydrology and Earth System Sciences, 12(1), 293–301.

    Discusses the olive tree as a paradigm for drought tolerance in Mediterranean climates.

    drought toleranceolive treeMediterraneanecohydrology
    DOI
    @article{sofo2008olive,
      author  = {Sofo, A. and Manfreda, S. and Dichio, B. and Fiorentino, M. and Xiloyannis, C.},
      title   = {{The Olive Tree: a Paradigm for Drought Tolerance in Mediterranean Climates}},
      journal = {Hydrology and Earth System Sciences},
      year    = {2008},
      volume  = {12},
      number  = {1},
      pages   = {293--301},
      doi     = {10.5194/hess-12-293-2008}
    }

20073

  1. 111. Manfreda, S., Cox, D. R., Isham, V., Porporato, A., & Rodríguez-Iturbe, I. (2007). Reply to the Comment by S. Nadarajah on Space-time modeling of soil moisture: Stochastic rainfall forcing with heterogeneous vegetation. Water Resources Research, 43(10).

    Authors’ reply to a published comment on their space-time soil-moisture modelling work.

    soil moisturespace-time modellingstochastic rainfallreply
    DOI
    @article{manfreda2007reply,
      author  = {Manfreda, S. and Cox, D. R. and Isham, V. and Porporato, A. and Rodríguez-Iturbe, I.},
      title   = {{Reply to the Comment by S. Nadarajah on Space-time modeling of soil moisture: Stochastic rainfall forcing with heterogeneous vegetation}},
      journal = {Water Resources Research},
      year    = {2007},
      volume  = {43},
      number  = {10},
      doi     = {10.1029/2007WR006378}
    }
  2. 112. Manfreda, S., McCabe, M., Wood, E. F., Fiorentino, M., & Rodríguez-Iturbe, I. (2007). Spatial Patterns of Soil Moisture from Distributed Modeling. Advances in Water Resources, 30(10), 2145–2150.

    Investigates spatial patterns of soil moisture using distributed modelling.

    soil moisturespatial patternsdistributed modellingecohydrology
    DOI
    @article{manfreda2007spatial,
      author  = {Manfreda, S. and McCabe, M. and Wood, E. F. and Fiorentino, M. and Rodríguez-Iturbe, I.},
      title   = {{Spatial Patterns of Soil Moisture from Distributed Modeling}},
      journal = {Advances in Water Resources},
      year    = {2007},
      volume  = {30},
      number  = {10},
      pages   = {2145--2150},
      doi     = {10.1016/j.advwatres.2006.07.009}
    }
  3. 113. Fiorentino, M., Manfreda, S., & Iacobellis, V. (2007). Peak Runoff Contributing Area as Hydrological Signature of the Probability Distribution of Floods. Advances in Water Resources, 30(10), 2123–2134.

    Links the peak runoff contributing area to the probability distribution of floods.

    contributing areaflood frequencyrunoffstochastic hydrology
    DOI
    @article{fiorentino2007peakrunoff,
      author  = {Fiorentino, M. and Manfreda, S. and Iacobellis, V.},
      title   = {{Peak Runoff Contributing Area as Hydrological Signature of the Probability Distribution of Floods}},
      journal = {Advances in Water Resources},
      year    = {2007},
      volume  = {30},
      number  = {10},
      pages   = {2123--2134},
      doi     = {10.1016/j.advwatres.2006.11.017}
    }

20063

  1. 114. Fiorentino, M., Gioia, A., Iacobellis, V., & Manfreda, S. (2006). Analysis on flood generation processes by means of a continuous simulation model. Advances in Geosciences, 7, 231–236.

    Analyses flood-generation processes using a continuous simulation model.

    flood generationcontinuous simulationflood frequencymodelling
    DOI
    @article{fiorentino2006continuous,
      author  = {Fiorentino, M. and Gioia, A. and Iacobellis, V. and Manfreda, S.},
      title   = {{Analysis on flood generation processes by means of a continuous simulation model}},
      journal = {Advances in Geosciences},
      year    = {2006},
      volume  = {7},
      pages   = {231--236},
      doi     = {10.5194/adgeo-7-231-2006}
    }
  2. 115. Manfreda, S., & Rodrìguez-Iturbe, I. (2006). On the Spatial and Temporal Sampling of Soil Moisture Fields. Water Resources Research, 42(5).

    Studies the spatial and temporal sampling requirements of soil-moisture fields.

    soil moisturesamplingspatial variabilityecohydrology
    DOI
    @article{manfreda2006sampling,
      author  = {Manfreda, S. and Rodrìguez-Iturbe, I.},
      title   = {{On the Spatial and Temporal Sampling of Soil Moisture Fields}},
      journal = {Water Resources Research},
      year    = {2006},
      volume  = {42},
      number  = {5},
      doi     = {10.1029/2005WR004548}
    }
  3. 116. Rodríguez-Iturbe, I., Isham, V., Cox, D. R., Manfreda, S., & Porporato, A. (2006). Space-time modeling of soil moisture: stochastic rainfall forcing with heterogeneous vegetation. Water Resources Research, 42(6).

    Develops a space-time model of soil moisture under stochastic rainfall forcing and heterogeneous vegetation.

    soil moisturespace-time modellingstochastic rainfallvegetation
    DOI
    @article{rodriguez2006spacetime,
      author  = {Rodríguez-Iturbe, I. and Isham, V. and Cox, D. R. and Manfreda, S. and Porporato, A.},
      title   = {{Space-time modeling of soil moisture: stochastic rainfall forcing with heterogeneous vegetation}},
      journal = {Water Resources Research},
      year    = {2006},
      volume  = {42},
      number  = {6},
      doi     = {10.1029/2005WR004497}
    }

20054

  1. 117. Isham, V., Cox, D. R., Rodríguez-Iturbe, I., Porporato, A., & Manfreda, S. (2005). Representation of Space-Time Variability of Soil Moisture. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 461(2064), 4035–4055.

    Proposes a mathematical representation of the space-time variability of soil moisture.

    soil moisturespace-time variabilitystochastic modelsecohydrology
    DOI
    @article{isham2005representation,
      author  = {Isham, V. and Cox, D. R. and Rodríguez-Iturbe, I. and Porporato, A. and Manfreda, S.},
      title   = {{Representation of Space-Time Variability of Soil Moisture}},
      journal = {Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences},
      year    = {2005},
      volume  = {461},
      number  = {2064},
      pages   = {4035--4055},
      doi     = {10.1098/rspa.2005.1568}
    }
  2. 118. Caylor, K. K., Manfreda, S., & Rodríguez-Iturbe, I. (2005). On the Coupled Geomorphological and Ecohydrological Organization of River Basins. Advances in Water Resources, 28(1), 69–86.

    Examines the coupled geomorphological and ecohydrological organization of river basins.

    ecohydrologygeomorphologyriver basinsvegetation patterns
    DOI
    @article{caylor2005coupled,
      author  = {Caylor, K. K. and Manfreda, S. and Rodríguez-Iturbe, I.},
      title   = {{On the Coupled Geomorphological and Ecohydrological Organization of River Basins}},
      journal = {Advances in Water Resources},
      year    = {2005},
      volume  = {28},
      number  = {1},
      pages   = {69--86},
      doi     = {10.1016/j.advwatres.2004.08.013}
    }
  3. 119. Scanlon, T. M., Caylor, K. K., Manfreda, S., Levin, S. A., & Rodríguez-Iturbe, I. (2005). Dynamic Response of Grass Cover to Rainfall Variability: Implications for the Function and Persistence of Savanna Ecosystems. Advances in Water Resources, 28(3), 291–302.

    Analyses the dynamic response of grass cover to rainfall variability and implications for savanna ecosystems.

    ecohydrologysavannarainfall variabilityvegetation dynamics
    DOI
    @article{scanlon2005grass,
      author  = {Scanlon, T. M. and Caylor, K. K. and Manfreda, S. and Levin, S. A. and Rodríguez-Iturbe, I.},
      title   = {{Dynamic Response of Grass Cover to Rainfall Variability: Implications for the Function and Persistence of Savanna Ecosystems}},
      journal = {Advances in Water Resources},
      year    = {2005},
      volume  = {28},
      number  = {3},
      pages   = {291--302},
      doi     = {10.1016/j.advwatres.2004.10.014}
    }
  4. 120. Manfreda, S., Fiorentino, M., & Iacobellis, V. (2005). DREAM: a Distributed model for Runoff, Evapotranspiration, and Antecedent Soil Moisture Simulation. Advances in Geosciences, 2, 31–39.

    Presents DREAM, a distributed model for runoff, evapotranspiration and antecedent soil-moisture simulation.

    DREAM modeldistributed modelrunoffsoil moisture
    DOI
    @article{manfreda2005dream,
      author  = {Manfreda, S. and Fiorentino, M. and Iacobellis, V.},
      title   = {{DREAM: a Distributed model for Runoff, Evapotranspiration, and Antecedent Soil Moisture Simulation}},
      journal = {Advances in Geosciences},
      year    = {2005},
      volume  = {2},
      pages   = {31--39},
      doi     = {10.5194/adgeo-2-31-2005}
    }

HydroLAB · University of Naples Federico II — salvatoremanfreda.it. Citation counts and indexing: see the ORCID and Google Scholar profiles linked above.

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