Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Alessandro Ceppi"'
Publikováno v:
Forecasting, Vol 5, Iss 4, Pp 600-615 (2023)
Earth system predictions, from sub-seasonal to seasonal timescales, remain a challenging task, and the representation of predictability sources on seasonal timescales is a complex work. Nonetheless, advances in technology and science have been making
Externí odkaz:
https://doaj.org/article/e68101bb168a4634aca72aae844dbd56
Publikováno v:
Hydrology, Vol 11, Iss 6, p 77 (2024)
In recent decades, a plethora of natural disasters, including floods, storms, heat waves, droughts, and various other weather-related events, have brought destruction worldwide. In particular, Algeria is facing several natural hydrometeorological and
Externí odkaz:
https://doaj.org/article/74ac0b84958744dc89c6ac1b038beda6
Publikováno v:
Meteorological Applications, Vol 30, Iss 6, Pp n/a-n/a (2023)
Abstract Floods are among natural disasters which cause the largest damages worldwide each year, inducing fatalities of human lives, destruction of infrastructure and economical losses. Consequently, forecasting this type of events through hydro‐me
Externí odkaz:
https://doaj.org/article/701007b17f7d430a94b3c583ffb3bff4
Autor:
Renzo Rosso, Alessandro Ceppi
Publikováno v:
Water, Vol 15, Iss 10, p 1894 (2023)
The Mediterranean basin is traditionally a hotspot where copious amounts of water vapor at low- and mid-tropospheric levels often favor atmospheric instability and the deepening of storms, leading to intense rainfall events with consequent flash floo
Externí odkaz:
https://doaj.org/article/9300ca02e83f40a99146525c08a3242f
Publikováno v:
Advances in Meteorology, Vol 2022 (2022)
Forecasting applications based on hourly meteorological predictions for weather variables are nowadays used in energy market operations, planning of gas and power supply, and renewable energy, among others. Available meteorological and climatological
Externí odkaz:
https://doaj.org/article/e4a2574464a9433985efe2abe8ee43a6
Publikováno v:
Soil and Water Research, Vol 15, Iss 3, Pp 135-147 (2020)
In this study, different methods were compared in order to determine the soil hydraulic conductivity at the saturation (Ks) of two heavily anthropized soils in northern Italy: an irrigated field and a landfill cover. In situ, laboratory measurements
Externí odkaz:
https://doaj.org/article/f7617843a95d46a19186f2684f34b4dd
Autor:
Marco Giazzi, Gianandrea Peressutti, Luca Cerri, Matteo Fumi, Isabella Francesca Riva, Andrea Chini, Gianluca Ferrari, Guido Cioni, Gabriele Franch, Gianni Tartari, Flavio Galbiati, Vincenzo Condemi, Alessandro Ceppi
Publikováno v:
Atmosphere, Vol 13, Iss 6, p 928 (2022)
Citizen science has shown great potential for bringing large groups of people closer to science, thanks in part to cooperation with universities and research centers. In this context, amateur weather networks played a major role in the last few decad
Externí odkaz:
https://doaj.org/article/434879cddd424711af9507451b17ce0b
Publikováno v:
Water, Vol 14, Iss 6, p 837 (2022)
Nowadays, a major issue is land-use change by urban development that alters the catchment response to meteorological events. Urban basins have less storage capacity and more rapid runoff, so urban rivers rise more quickly during storms and have highe
Externí odkaz:
https://doaj.org/article/c41db2b0e0ae47438ea6accba89fe57d
Publikováno v:
Forests, Vol 12, Iss 12, p 1794 (2021)
In this paper, the FEST-FOREST model is presented. A FOREST module is written in the FORTRAN-90 programming language, and was included in the FEST-WB distributed hydrological model delivering the FEST-FOREST model. FEST-FOREST is a process-based dyna
Externí odkaz:
https://doaj.org/article/5805ab7b026f4c34865cbbac07c84576
Autor:
Maria Chiara Del Vecchio, Alessandro Ceppi, Chiara Corbari, Giovanni Ravazzani, Marco Mancini, Francesco Spada, Enrico Maggioni, Alessandro Perotto, Raffaele Salerno
Publikováno v:
Applied Sciences, Vol 10, Iss 14, p 4952 (2020)
The presence of road ice has always been a key issue during winter months. A reliable forecast system capable of predicting the Land Surface Temperature (LST) and, consequently, its formation is one of the best strategies to operate towards reducing
Externí odkaz:
https://doaj.org/article/e3ff2c55b17d4bd69a2d0c3b41a5de4e