Ph.D. candidate in Ingegneria Civile E Ambientale , 38th cycle (2022-2025)
Department of Environment, Land and Infrastructure Engineering (DIATI)
Adjunct lecturer/Adjunct instructor
Department of Environment, Land and Infrastructure Engineering (DIATI)
Profile
PhD
Research topic
Post-processing approaches for uncertainty estimation of deterministic rainfall-runoff models
Tutors
Research presentation
Keywords
Biography
Teaching
Teachings
Master of Science
- Applied hydrology/Environmental fluid mechanics (modulo di Applied hydrology). A.A. 2025/26, INGEGNERIA PER L'AMBIENTE E IL TERRITORIO. Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Lombardo, Luca; Papalexiou, Simon Michael; Thébault, Cyril; Clark, Martyn P.; Vogel, ... (2025)
Residual dynamics in hydrological models: insights from a large sample of catchments and models. In: ADVANCES IN WATER RESOURCES, vol. 206. ISSN 0309-1708
Contributo su Rivista - Mazzoglio, Paola; Bertola, Miriam; Listo, Tommaso; Princivalle, Luca; Lombardo, Luca; ... (2025)
Who is saving our streamflow data? Exploring volunteer profiles and their engagement in the SIREN data rescue project. In: PLOS ONE, vol. 20, pp. 1-19. ISSN 1932-6203
Contributo su Rivista - Mazzoglio, Paola; Bertola, Miriam; Mattozzi, Alvise; Listo, Tommaso; Princivalle, Luca; ... (2025)
SIREN: a citizen science project for the recovery of the Italian hydrological data. In: EGU General Assembly 2025, Vienna (AT), 27 April - 2 May 2025
Contributo in Atti di Convegno (Proceeding) - Mazzoglio, Paola; Bertola, Miriam; Sacco, Chiara; Mattozzi, Alvise; Listo, Tommaso; ... (2024)
SIREN: un progetto di citizen science per la digitalizzazione dei dati idrologici italiani. In: Le scienze umane e sociali per il sistema di protezione civile, Roma (IT), 23-24 September 2024, 21-22 October 2024, pp. 52-52
Contributo in Atti di Convegno (Proceeding) - Mazzoglio, Paola; Bertola, Miriam; Lombardo, Luca; Viglione, Alberto; Laio, Francesco; ... (2023)
Recovering the Italian daily hydrological measurements with a citizen science approach. In: 28th IUGG General Assembly, Berlin (Ger), 11-20 July 2023
Contributo in Atti di Convegno (Proceeding)