Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Paolo Mazzoli"'
Publikováno v:
Frontiers in Earth Science, Vol 7 (2019)
Topography is a critical element in the hydrological response of a drainage basin and its availability in the form of digital elevation models (DEMs) has advanced the modeling of hydrological and hydraulic processes. However, progress experienced in
Externí odkaz:
https://doaj.org/article/e8510e602f9f4d8789e079c655d57891
Autor:
Arthur H. Essenfelder, Francesca Larosa, Paolo Mazzoli, Stefano Bagli, Davide Broccoli, Valerio Luzzi, Jaroslav Mysiak, Paola Mercogliano, Francesco dalla Valle
Publikováno v:
Atmosphere, Vol 11, Iss 12, p 1305 (2020)
This study proposes a climate service named Smart Climate Hydropower Tool (SCHT) and designed as a hybrid forecast system for supporting decision-making in a context of hydropower production. SCHT is technically designed to make use of information fr
Externí odkaz:
https://doaj.org/article/97e1d5cc222746c6ac4f0a012e41d3f0
Autor:
Caterina Samela, Simone Persiano, Stefano Bagli, Valerio Luzzi, Paolo Mazzoli, Günter Humer, Andreas Reithofer, Arthur Essenfelder, Mattia Amadio, Jaroslav Mysiak, Attilio Castellarin
Publikováno v:
Water, Vol 12, Iss 6, p 1514 (2020)
The increase in frequency and intensity of extreme precipitation events caused by the changing climate (e.g., cloudbursts, rainstorms, heavy rainfall, hail, heavy snow), combined with the high population density and concentration of assets, makes urb
Externí odkaz:
https://doaj.org/article/295085b9b9634d868c9c9992d21b8dc9
Autor:
Mattia Callegari, Paolo Mazzoli, Ludovica de Gregorio, Claudia Notarnicola, Luca Pasolli, Marcello Petitta, Alberto Pistocchi
Publikováno v:
Water, Vol 7, Iss 5, Pp 2494-2515 (2015)
In this contribution we analyze the performance of a monthly river discharge forecasting model with a Support Vector Regression (SVR) technique in a European alpine area. We considered as predictors the discharges of the antecedent months, snow-cover
Externí odkaz:
https://doaj.org/article/f5c35f2f025643e69615c6527a2421ca
Publikováno v:
Water, Vol 9, Iss 11, p 848 (2017)
We present a novel method for the direct determination of the snowmelt coefficient of widely used degree-day models, using only cumulated temperature and precipitation over the days of snow cover. We develop a proof of concept using (1) local measure
Externí odkaz:
https://doaj.org/article/5e37259623304b73baca6a7b05e38aa3
Autor:
Benedikt Gräler, Katharina Demmich, Johannes Schnell, Merel Vogel, Stefano Bagli, Paolo Mazzoli
Climate Services (CS) are crucial in empowering citizens, stakeholders and decision-makers in defining resilient pathways to adapt to climate change and extreme weather events. Despite advances in scientific data and knowledge (e.g. Copernicus, GEOSS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1915713fc16e77318b11d8e150946d5d
https://doi.org/10.5194/egusphere-egu23-15863
https://doi.org/10.5194/egusphere-egu23-15863
Autor:
Stephen Roberts, Jaroslav Mysiak, Stefano Bagli, Mattia Amadio, Sepehr Marzi, Paolo Mazzoli, Arthur H. Essenfelder
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 22, Pp 265-286 (2022)
Natural Hazards and Earth System Sciences (EGU)
Natural Hazards and Earth System Sciences (EGU)
The combined effect of global sea level rise and local subsidence phenomena poses a major threat to coastal settlements. Flooding events are expected to grow in frequency and magnitude, increasing the potential economic losses and costs of adaptation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bce772e9151ebbd878f1e59a3fb1a1f2
https://doi.org/10.5194/nhess-22-265-2022
https://doi.org/10.5194/nhess-22-265-2022
Autor:
Andrea Magnini, Michele Lombardi, Armir Bujari, Pietro Mattivi, Iuliia Shustikova, Simone Persiano, Marco Patella, Gabriele Bitelli, Paolo Bellavista, Francesco Lo Conti, Antonio Tirri, Stefano Bagli, Paolo Mazzoli, Attilio Castellarin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83533ff9d2ff68272126cb72508ceaa6
https://doi.org/10.2139/ssrn.4358318
https://doi.org/10.2139/ssrn.4358318
Autor:
Arthur H. Essenfelder, Stefano Bagli, Jaroslav Mysiak, Jeremy S. Pal, Paola Mercogliano, Alfredo Reder, Guido Rianna, Paolo Mazzoli, Davide Broccoli, Valerio Luzzi
Publikováno v:
Water Economics and Policy.
Pluvial flooding is a major concern in urban environments with limited or temporarily reduced efficiency of surface drainage. Climate change, land use change, and increased exposure in hazard prone areas play a role in increasing pluvial flood risks.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::542bd86d9033d52b01c5dd36b1f4bec1
https://doi.org/10.1142/s2382624x22400070
https://doi.org/10.1142/s2382624x22400070
Autor:
Micha Werner, Ilyas Masih, Rebecca Emerton, Ilias Pechlivanidis, Marije Schaafsma, Lluís Pesquer, Giuliano Di Baldassarre, Marc van den Homberg, Paolo Mazzoli, Megi Gamtkitsulashvili, Lucia De Stefano, Benedikt Gräler, Györgyi Bela, Apostolis Tzimas
Recent decades have shown significant advance in weather forecasting; sub-seasonal to seasonal forecast and climate prediction, including advances in a more seamless integration across the spatial and temporal scales of the knowledges these contain.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::648b08abf345e031f72d115446443aca
https://doi.org/10.5194/ems2022-536
https://doi.org/10.5194/ems2022-536