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Andrea Libertino   Dr.  Graduate Student or Post Graduate 
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Andrea Libertino published an article in November 2018.
Top co-authors
Francesco Laio

131 shared publications

Environmental, Land and Infrastructure Engineering, Politecnico di Torino, C.so duca degli Abruzzi 24, Torino, ITALY

Pierluigi Claps

46 shared publications

Department of Environment, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, Torino, Italy

Roberto Cremonini

13 shared publications

Department of Natural and Environmental Risks, Regional Agency for Environmental Protection of Piedmont (ARPA Piemonte), Turin, 10135, Italy

Paola Allamano

10 shared publications

Department of Environment, Land and Infrastructure Engineering; Politecnico di Torino; Torino Italy

7
Publications
12
Reads
8
Downloads
13
Citations
Publication Record
Distribution of Articles published per year 
(2015 - 2018)
Total number of journals
published in
 
6
 
Publications See all
CONFERENCE-ARTICLE 32 Reads 0 Citations A web-based open-source geoinformation tool for regional water resources assessment Susanna Grasso, Pierluigi Claps, Andrea Libertino, Daniele G... Published: 15 November 2018
Proceedings of 3rd International Electronic Conference on Water Sciences (ECWS-3), doi: 10.3390/ECWS-3-05831
DOI See at publisher website ABS Show/hide abstract

To reduce the impact of droughts and increase the resilience of regional water systems, various demands, such as hydropower, supply and irrigation, need to be reconciled. In this perspective, designers and practitioners must be able to use information tools to define the hydrological constraints for a sustainable management of the resource. In this work, a web-based open-source geoinformation system is presented, that allows to estimate Flow Duration Curves (FDCs) in ungauged basins. The regional statistical model used, developed by Ganora et al., 2013 [1] in North-Western Italy, is based on the characterization of the FDC in a parametric framework where parameters depend on topographic, climatic, land use and vegetation descriptors computed at the basin scale. The software tool, accessible both by web browsers and GIS desktop (e.g. QGIS), pilots the estimations steps by computing the spatial descriptors and applying relations needed to estimate the full FDC via Burr distribution. The developed server-side scripting provides users with always updated data and procedures, being free from software client compatibility issues.

PROCEEDINGS-ARTICLE 0 Reads 0 Citations A Web-GIS Tool for Rainstorm Hazard Management Over Large Areas Susanna Grasso, Andrea Libertino, Pierluigi Claps Published: 20 September 2018
doi: 10.29007/gthr
DOI See at publisher website
Article 0 Reads 1 Citation Technical note: Space–time analysis of rainfall extremes in Italy: clues from a reconciled dataset Andrea Libertino, Daniele Ganora, Pierluigi Claps Published: 07 May 2018
Hydrology and Earth System Sciences, doi: 10.5194/hess-22-2705-2018
DOI See at publisher website ABS Show/hide abstract
Like other Mediterranean areas, Italy is prone to the development of events with significant rainfall intensity, lasting for several hours. The main triggering mechanisms of these events are quite well known, but the aim of developing rainstorm hazard maps compatible with their actual probability of occurrence is still far from being reached. A systematic frequency analysis of these occasional highly intense events would require a complete countrywide dataset of sub-daily rainfall records, but this kind of information was still lacking for the Italian territory. In this work several sources of data are gathered, for assembling the first comprehensive and updated dataset of extreme rainfall of short duration in Italy. The resulting dataset, referred to as the Italian Rainfall Extreme Dataset (I-RED), includes the annual maximum rainfalls recorded in 1 to 24 consecutive hours from more than 4500 stations across the country, spanning the period between 1916 and 2014. A detailed description of the spatial and temporal coverage of the I-RED is presented, together with an exploratory statistical analysis aimed at providing preliminary information on the climatology of extreme rainfall at the national scale. Due to some legal restrictions, the database can be provided only under certain conditions. Taking into account the potentialities emerging from the analysis, a description of the ongoing and planned future work activities on the database is provided.
Article 0 Reads 1 Citation Regional-scale analysis of extreme precipitation from short and fragmented records Andrea Libertino, Paola Allamano, Francesco Laio, Pierluigi ... Published: 01 February 2018
Advances in Water Resources, doi: 10.1016/j.advwatres.2017.12.015
DOI See at publisher website
Article 0 Reads 0 Citations Technical note: Space-time analysis of rainfall extremes in Italy: clues from a reconciled dataset Andrea Libertino, Daniele Ganora, Pierluigi Claps Published: 08 January 2018
Hydrology and Earth System Sciences Discussions, doi: 10.5194/hess-2017-752
DOI See at publisher website ABS Show/hide abstract
Like other Mediterranean areas, Italy is prone to the development of events with explosive rainfall intensity, lasting for several hours. The main triggering mechanisms of these events are quite well known but the aim of developing rainstorm hazard maps compatible with their actual probability of occurrence is still far from being reached. A systematic frequency analysis of these occasional highly intense events would require a complete countrywide dataset of sub-daily rainfall records, but this kind of information was still lacking for the Italian territory. In this work several sources of data are gathered, for assembling the first comprehensive and updated dataset of extreme rainfall of short duration in Italy. The resulting dataset, referred to as Italian Rainfall Extreme Dataset (I-RED), includes the annual maximum rainfalls recorded in 1 to 24 consecutive hours from more than 4500 stations across the country, spanning the period between 1916 and 2014. A detailed description of the spatial and temporal coverage of the I-RED is presented, together with an exploratory statistical analysis aimed at providing preliminary information on the climatology of extreme rainfall at the national scale. Taking into account the potentialities emerging from the analysis, a description of the ongoing and planned future work activities on the database is provided.
Article 0 Reads 6 Citations A global assessment of the timing of extreme rainfall from TRMM and GPM for improving hydrologic design Andrea Libertino, Ashish Sharma, Venkat Lakshmi, Pierluigi C... Published: 25 April 2016
Environmental Research Letters, doi: 10.1088/1748-9326/11/5/054003
DOI See at publisher website ABS Show/hide abstract
The tropical rainfall measuring mission (TRMM) has revolutionized the measurement of precipitation worldwide. However, TRMM significantly underestimates rainfall in deep convection systems, being therefore of little help for the analysis of extreme precipitation depths. This work evaluates the ability of both TRMM and the recently launched global precipitation measurement (GPM) mission to help in the identification of the timing of severe rainfall events. We compare the date of occurrence of the most severe daily rainfall recorded each year by a global rain gauge network with the ones estimated by TRMM. The match rate between the two is found to approach 50%, indicating significant consistency between the two data sources. This figure rises to 60% for GPM, indicating the potential for this new mission to improve the accuracy associated with TRMM. Further efforts are needed in improving the GPM conversion algorithms in order to reduce the bias affecting the estimation of intense depths. The results however show that the timing estimated from GPM can provide a solid basis for an extensive characterization of the spatio-temporal distribution of extreme rainfall in poorly gauged regions of the world.
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