Articles | Volume 22, issue 10
Hydrol. Earth Syst. Sci., 22, 5403–5426, 2018
https://doi.org/10.5194/hess-22-5403-2018
Hydrol. Earth Syst. Sci., 22, 5403–5426, 2018
https://doi.org/10.5194/hess-22-5403-2018

Research article 19 Oct 2018

Research article | 19 Oct 2018

Analysis of the streamflow extremes and long-term water balance in the Liguria region of Italy using a cloud-permitting grid spacing reanalysis dataset

Francesco Silvestro et al.

Related authors

S3M 5.1: a distributed cryospheric model with dry and wet snow, data assimilation, glacier mass balance, and debris-driven melt
Francesco Avanzi, Simone Gabellani, Fabio Delogu, Francesco Silvestro, Edoardo Cremonese, Umberto Morra di Cella, Sara Ratto, and Hervé Stevenin
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2021-92,https://doi.org/10.5194/gmd-2021-92, 2021
Revised manuscript under review for GMD
Short summary
Using nowcasting technique and data assimilation in a meteorological model to improve very short range hydrological forecasts
Maria Laura Poletti, Francesco Silvestro, Silvio Davolio, Flavio Pignone, and Nicola Rebora
Hydrol. Earth Syst. Sci., 23, 3823–3841, https://doi.org/10.5194/hess-23-3823-2019,https://doi.org/10.5194/hess-23-3823-2019, 2019
Short summary
What if the 25 October 2011 event that struck Cinque Terre (Liguria) had happened in Genoa, Italy? Flooding scenarios, hazard mapping and damage estimation
Francesco Silvestro, Nicola Rebora, Lauro Rossi, Daniele Dolia, Simone Gabellani, Flavio Pignone, Eva Trasforini, Roberto Rudari, Silvia De Angeli, and Cristiano Masciulli
Nat. Hazards Earth Syst. Sci., 16, 1737–1753, https://doi.org/10.5194/nhess-16-1737-2016,https://doi.org/10.5194/nhess-16-1737-2016, 2016
Uncertainty reduction and parameter estimation of a distributed hydrological model with ground and remote-sensing data
F. Silvestro, S. Gabellani, R. Rudari, F. Delogu, P. Laiolo, and G. Boni
Hydrol. Earth Syst. Sci., 19, 1727–1751, https://doi.org/10.5194/hess-19-1727-2015,https://doi.org/10.5194/hess-19-1727-2015, 2015
An attempt to deal with flash floods using a probabilistic hydrological nowcasting chain: a case study
F. Silvestro, N. Rebora, and G. Cummings
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhessd-1-7497-2013,https://doi.org/10.5194/nhessd-1-7497-2013, 2013
Revised manuscript not accepted

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
Machine-learning methods to assess the effects of a non-linear damage spectrum taking into account soil moisture on winter wheat yields in Germany
Michael Peichl, Stephan Thober, Luis Samaniego, Bernd Hansjürgens, and Andreas Marx
Hydrol. Earth Syst. Sci., 25, 6523–6545, https://doi.org/10.5194/hess-25-6523-2021,https://doi.org/10.5194/hess-25-6523-2021, 2021
Short summary
Extreme precipitation events in the Mediterranean area: contrasting two different models for moisture source identification
Sara Cloux, Daniel Garaboa-Paz, Damián Insua-Costa, Gonzalo Miguez-Macho, and Vicente Pérez-Muñuzuri
Hydrol. Earth Syst. Sci., 25, 6465–6477, https://doi.org/10.5194/hess-25-6465-2021,https://doi.org/10.5194/hess-25-6465-2021, 2021
Short summary
Flexible and consistent quantile estimation for intensity–duration–frequency curves
Felix S. Fauer, Jana Ulrich, Oscar E. Jurado, and Henning W. Rust
Hydrol. Earth Syst. Sci., 25, 6479–6494, https://doi.org/10.5194/hess-25-6479-2021,https://doi.org/10.5194/hess-25-6479-2021, 2021
Short summary
Evaluation of Asian summer precipitation in different configurations of a high-resolution general circulation model in a range of decision-relevant spatial scales
Mark R. Muetzelfeldt, Reinhard Schiemann, Andrew G. Turner, Nicholas P. Klingaman, Pier Luigi Vidale, and Malcolm J. Roberts
Hydrol. Earth Syst. Sci., 25, 6381–6405, https://doi.org/10.5194/hess-25-6381-2021,https://doi.org/10.5194/hess-25-6381-2021, 2021
Short summary
Rainfall-induced shallow landslides and soil wetness: comparison of physically based and probabilistic predictions
Elena Leonarduzzi, Brian W. McArdell, and Peter Molnar
Hydrol. Earth Syst. Sci., 25, 5937–5950, https://doi.org/10.5194/hess-25-5937-2021,https://doi.org/10.5194/hess-25-5937-2021, 2021
Short summary

Cited articles

Altinbilek, D., Barret, E. C., Oweis, T., Salameh, E., and Siccardi, F.: Rainfall Climatology on the Mediterranean, EU-AVI 080 Project ACROSS – Analyzed climatology rainfall obtained from satellite and surface data in the Mediterranean basin, EC Rep. A VI2-CT93-080, 32 pp., 1997. 
ARPAL: Atlante climatico della liguria, available at: http://www.arpal.gov.it/homepage/meteo/analisi-climatologiche/atlante-climatico-della-liguria.html (last access: 12 October 2017), 2010. 
Asadieh, B. and Krakauer, N. Y.: Global change in streamflow extremes under climate change over the 21st century, Hydrol. Earth Syst. Sci., 21, 5863–5874, https://doi.org/10.5194/hess-21-5863-2017, 2017. 
Asner, G. P., Scurlock, J. M. O., and Hicke, J. A.: Global synthesis of leaf area index observations: implications for ecological and remote sensing studies, Global Ecol. Biogeogr., 12, 191–205, 2003. 
Barazzuoli, P. and Rigati, R.: studio per la definizione del bilancio idrogeologico del bacino del fiume Magra, available at: http://www.adbmagra.it/Pdf/UNISI_Bil_Idr_Magra_Rel_Fin.pdf (last access: 2 March 2017) Università degli studi di Siena, 2004. 
Download
Short summary
In this work we adopted a high-resolution meteorological reanalysis dataset together with a rainfall downscaling algorithm and a rainfall bias correction technique in order to produce input for a hydrological model; the resulting modeling chain allows the production of long time series of distributed hydrological variables in the Liguria region of Italy, located in the northern part of Italy. The aim is to evaluate how such a kind of modeling chain is able to reproduce the hydrology in an area.