Paola Mazzoglio

Paola Mazzoglio
Politecnico di Torino | polito · DIATI - Department of Environment, Land and Infrastructure Engineering

About

39
Publications
3,017
Reads
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61
Citations
Introduction
My name is Paola Mazzoglio and I am graduated in Civil Engineering. I worked for 8 months as Junior Research Fellow at Politecnico di Torino and for more than 2 years at ITHACA as Remote Sensing and Hydrological Modelling Specialist. I have also collaborated with WaterView SRL (a start-up based in Torino) as data scientist, developing a rainfall measurement methodology from photographic images. Currently, I am a PhD student at Politecnico di Torino.
Additional affiliations
June 2017 - October 2019
ITHACA
Position
  • Remote Sensing and Hydrological Modelling Specialist
October 2016 - June 2017
Politecnico di Torino
Position
  • Fellow
September 2016 - June 2018
WaterView SRL
Position
  • Analyst
Education
March 2014 - July 2016
Politecnico di Torino
Field of study
  • Civil Engineering - Hydraulic specialization
October 2010 - March 2014
Politecnico di Torino
Field of study
  • Civil Engineering

Publications

Publications (39)
Poster
Full-text available
In this work we apply two different rainfall regionalization techniques over Thessaly region (Greece), an area of about 13,700 km2 with different topographic and climatological characteristics, to estimate design rainfall in ungauged sites. The first methodology is the Patched Kriging technique (Libertino et al., 2018), a year-by-year application o...
Conference Paper
Full-text available
Regional rainfall frequency analyses are based on rain gauge data that are affected by spatio-temporal discontinuities and gaps that can significantly influence the results of the statistical analyses. Neglecting the shorter series leads to ignore an amount of information that can be essential to correctly understand the spatial variability of the...
Conference Paper
Full-text available
The availability of large data samples can be useful in several research areas, including rainfall/flood frequency analysis, hydrological modelling and quantification of the hydrologic effects of catchment heterogeneities. In recent years, considerable efforts have been spent to build nationwide databases of basin attributes, with catalogs or web r...
Article
Full-text available
The dependence of rainfall on elevation has frequently been documented in the scientific literature and may be relevant in Italy, due to the high degree of geographical and morphological heterogeneity of the country. However, a detailed analysis of the spatial variability of short-duration annual maximum rainfall depths and their connection to the...
Conference Paper
L’influenza della morfologia e della quota sulla distribuzione delle piogge estreme, sebbene ampiamente documentata in letteratura, non è ancora stata analizzata approfonditamente sull’intero territorio italiano. In questo studio proponiamo alcune analisi delle relazioni fra morfologia e valori medi degli estremi annui di pioggia di durata sub-gior...
Chapter
The LEXIS (Large-scale EXecution for Industry & Society) H2020 project is building an advanced engineering platform taking advantage of HPC, Cloud solutions and Big Data, leveraging existing HPC infrastructures. In the framework of the LEXIS project, CIMA Research Foundation is running a three nested domain WRF Model with European coverage and rada...
Article
Full-text available
In this work, we describe the integration of Weather and Research Forecasting (WRF) forecasts produced by CIMA Research Foundation within ITHACA Extreme Rainfall Detection System (ERDS) to increase the forecasting skills of the overall early warning system. The entire workflow is applied to the heavy rainfall event that affected the city of Palermo...
Chapter
The Extreme Rainfall Detection System (ERDS) is an early warning system (EWS) developed for the monitoring and forecasting of rainfall events on a global scale. Within ERDS the near real-time rainfall monitoring is performed using the Global Precipitation Measurement data, while rainfall forecasts are provided by the Global Forecast System model. R...
Chapter
Regionalization techniques have been developed to estimate design rainfall in ungauged sites and to support ordinary data-based frequency analysis of areal rainfall or in presence of short records. Regional techniques use principles of data augmentation based on hydrologic similarity, trying to overcome limitations due to low rain gauge density or...
Poster
Full-text available
Italy is a mountainous country with peculiar exposure to severe rainstorms. With the aim of improving the rainstorm hazard assessment over ungauged areas, the spatial variability of the relationship between rainfall and elevation is investigated over Italy, using local linear regression analysis. The analysis focuses on annual precipitation extreme...
Preprint
Full-text available
The dependence of rainfall on elevation has frequently been documented in the scientific literature and may be relevant in Italy, due to the high degree of geographical and morphological heterogeneity of the country. However, a detailed analysis of the spatial variability of short-duration rainfall extremes and their connection to the landforms doe...
Conference Paper
Full-text available
In the framework of LEXIS (Large-scale EXecution for Industry & Society) H2020 project, CIMA Research Foundation is running a 3 nested domain WRF (Weather Research and Forecasting) model with European coverage and weather radar data assimilation over Italy. Forecasts up to 48 hours characterized by a 7.5 km resolution are then processed by ITHACA E...
Chapter
Earth observation satellite systems play an important role in the provision of a wide range of information, especially in data-scarce regions. This role becomes extremely relevant during a disaster and when direct access to the affected area is difficult. This chapter provides an overview of the state of the art remote sensing techniques and tools...
Chapter
A timely identification and monitoring of flood events by means of Earth Observation (EO) data is, nowadays, increasingly feasible thanks to recent advances achieved in remote sensing and hydrological process simulations. Despite the notable progress in these fields, a considerable effort will still be required to reduce the intrinsic inaccuracies...
Article
Full-text available
Agencies in charge of flood management use disaster reports (DRs) as the preferred source of information on past flooding events. A systematic survey of DRs prepared by Italian agencies suggests that DRs could be widely enhanced in view of targeting more effective communication to citizens, reinforcing the communication pillar in civil protection p...
Poster
Full-text available
LEXIS (Large-scale EXecution for Industry and Society) H2020 project is currently developing an advanced system for Big Data analysis that takes advantage of interacting large-scale geographically-distributed HPC infrastructure and cloud services. More specifically, LEXIS Weather and Climate Large-Scale Pilot workflows ingest data coming from diffe...
Chapter
The LEXIS Weather and Climate Large-scale Pilot will deliver a system for prediction of water-food-energy nexus phenomena and their associated socio-economic impacts. The system will be based on multiple model layers chained together, namely global weather and climate models, high-resolution regional weather models, domain-specific application mode...
Article
Full-text available
The collection and management of hydrological data in Italy has been dealt with at national level, initially, by the National Hydrological Service (SIMN), and at regional level in the last 40 years. This change has determined problems in the availability of complete and homogeneous data for the whole country. As of 2020, an updated and quality-cont...
Conference Paper
Full-text available
Gli eventi di pioggia intensa sono universalmente riconosciuti come la causa scatenante di molti dei più catastrofici disastri naturali. Negli ultimi decenni, numerosi gruppi di ricerca hanno cercato di sfruttare le potenzialità di alcuni open data resi disponibili in tempo reale per sviluppare sistemi di monitoraggio e allerta per piogge intense e...
Article
Full-text available
Extreme rainfall may trigger some of the most catastrophic natural disasters, whose consequences may be exacerbated especially in places where an appropriate network of measurement instruments is not available. A combination of remotely sensed data and weather prediction model outputs can often help to obtain information with a global spatial cover...
Conference Paper
Full-text available
Flood events represent some of the most catastrophic natural disasters, especially in localities where appropriate measurement instruments and early warning system are not available. Remotely sensed data can often help to obtain near real-time rainfall information with a global spatial coverage without the limitations that characterize other instru...
Article
Full-text available
Flood events represent some of the most catastrophic natural disasters, especially in localities where appropriate measurement instruments and early warning systems are not available. Remotely sensed data can often help to obtain near real-time rainfall information with a global spatial coverage without the limitations that characterize other instr...
Article
Full-text available
Many studies have shown a growing trend in terms of frequency and severity of extreme events. As never before, having tools capable to monitor the amount of rain that reaches the Earth’s surface has become a key point for the identification of areas potentially affected by floods. In order to guarantee an almost global spatial coverage, NASA Global...
Conference Paper
Full-text available
Many studies have shown a growing trend, in terms of number, frequency and severity of extreme events. As never before, having tools capable to monitor the amount of rain that reaches the Earth’s surface has become a focal point for the identification of areas potentially affected by floods. In order to guarantee an almost global spatial coverage,...
Conference Paper
Full-text available
The GPM (Global Precipitation Measurement) mission provides - since March 2014 - different IMERG (Integrated Multi-satellite Retrievals for GPM) products with a spatial coverage of 60°N - 60°S. IMERG products are available in three different versions: early run (with a delay of 6 hours), late run (with a delay of 18 hours) and final run (with a del...
Conference Paper
Full-text available
The recent socioeconomic and environmental impacts of extreme flood events occurred in Europe are testimony to the disastrous consequences that such future hazards are likely to pose. Managing inundation risk requires prevention measures in close cooperation with Civil Protection authorities. This topic underlies the TRIBUTE (TRIgger BUffers for in...

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Projects

Projects (4)
Project
Statistical analysis of extreme rainfall over the Italian territory.
Project
The LEXIS (Large-scale EXecution for Industry & Society) project aims to build an advanced, geographically- distributed, HPC infrastructure for Big Data analytics within three targeted pilot test-beds. By proposing innovative technologies and exploiting data available from test-bed partners, LEXIS aims to generate valuable outcomes and improve the efficiency and quality of services provided to different stakeholders involved in the test-beds. The developed services will be made available to external stakeholders, with the aim of stimulating the interest of European industries and creating an ecosystem of organisations that could benefit from the implemented platform. LEXIS will address key strategic objectives that will be transversally pursued all across the work. We aim to demonstrate the benefits of our project in the context of three industrial test-beds, leveraging modern technologies from HPC, Big Data, and Cloud computing. We will refer to Key Performance Indications (KPIs) to demonstrate success against the declared objectives within the industrial test-beds. These KPIs are relevant not only for the objectives themselves, but also for the various stakeholders involved.
Project
The Extreme Rainfall Detection System (ERDS - erds.ithacaweb.org) is a service for the monitoring and forecasting of exceptional rainfall events, with a nearly global spatial coverage. ERDS is also an alert system designed to identify hydrometeorological events (such as hurricanes, tropical storms, convective storms, flash floods and heavy rainfall that could lead to flood events or landslides). The information is accessible through a WebGIS application, developed in a complete Open Source environment.