Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Cristina Deidda"'
Publikováno v:
Sensors, Vol 22, Iss 9, p 3218 (2022)
Despite the several sources of inaccuracy, commercial microwave links (CML) have been recently exploited to estimate the average rainfall intensity along the radio path from signal attenuation. Validating these measurements against “ground truth”
Externí odkaz:
https://doaj.org/article/5b7e55d197634616aa77912266ca708f
Publikováno v:
Remote Sensing, Vol 13, Iss 21, p 4456 (2021)
Information about water level is essential for hydrological monitoring and flood/drought risk assessment. In a large part of Italian river network, in situ instruments for measuring water level are rare or lacking. Here we consider the satellite meas
Externí odkaz:
https://doaj.org/article/9f3388be1eb94d17b7b05eb96ff53159
Publikováno v:
Environmental Research Letters, Vol 16, Iss 8, p 084002 (2021)
Compound events, like compound floods, have rapidly aroused interest due to the strong impacts associated with them. The spatial dependence has a fundamental role in the dynamics of these events, and causative investigations of their origins could co
Externí odkaz:
https://doaj.org/article/b609770723cc4421acb8b419f8c83d41
Autor:
Antonio Preti, Serena Stocchino, Francesca Pinna, Maria Cristina Deidda, Mario Musu, Federica Sancassiani, Ferdinando Romano, Sergio Machado, Gabriele Finco, Mauro Giovanni Carta
Publikováno v:
Frontiers in Psychology, Vol 10 (2019)
Background: The assessment of pain and its impact on quality of life is central to the evaluation of chronic pain syndromes. However, most available tools focus on the nociceptive experience of pain, and at best only consider the occurrence of anxiou
Externí odkaz:
https://doaj.org/article/14893aa0c8e443a59f28c391dd179bfe
The issue of dependence and causality is fundamental for the study of compound events. Dependence measures are largely exploited in literature to study the interconnections among hazards and drivers. Classical dependence measures are symmetric, depen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1e2d433ef3b0c56909d13c0bc853f73
https://doi.org/10.5194/egusphere-egu23-14153
https://doi.org/10.5194/egusphere-egu23-14153
Autor:
Roberto Nebuloni, Greta Cazzaniga, Carlo De Michele, Michele D'Amico, Cristina Deidda, Antonio Ghezzi
Publikováno v:
Hydrology and Earth System Sciences. 26:2093-2111
Commercial microwave links (CMLs) can be used as opportunistic and unconventional rainfall sensors by converting the received signal level into path-averaged rainfall intensity. As the reliable reconstruction of the spatial distribution of rainfall i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::254d2fcce29df49664fdf4b5ea8c1cb6
https://doi.org/10.5194/hess-26-2093-2022
https://doi.org/10.5194/hess-26-2093-2022
Extremal dependence describes the strength of correlation between the largest observations of two variables. It is usually measured with symmetric dependence coefficients that do not depend on the order of the variables. In many cases, there is a nat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c721525259408234f32cd132c9339877
https://doi.org/10.22541/essoar.167591093.37144821/v1
https://doi.org/10.22541/essoar.167591093.37144821/v1
The use of non-conventional rainfall sensors can help to close the gap on rainfall characterization, which is one weak link in the modelling of the Earth’s water cycle. This has been an hot topic in hydro-meteorology for the last decade. In this fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::555fcc14ec3da8649d02b197958b7d11
https://hdl.handle.net/20.500.14017/9402ee25-64db-4ee5-a7b1-120768cf481c
https://hdl.handle.net/20.500.14017/9402ee25-64db-4ee5-a7b1-120768cf481c
Publikováno v:
Sensors; Volume 22; Issue 9; Pages: 3218
Despite the several sources of inaccuracy, commercial microwave links (CML) have been recently exploited to estimate the average rainfall intensity along the radio path from signal attenuation. Validating these measurements against “ground truth”
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b20ac8a6906290108399feda2abb6f4d
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Scientific Reports
Scientific Reports
Floods are among the most common and impactful natural events. The hazard of a flood event depends on its peak (Q), volume (V) and duration (D), which are interconnected to each other. Here, we used a worldwide dataset of daily discharge, two statist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::649d166ca0e78d171038fa147f2a9eb7
https://biblio.vub.ac.be/vubir/origin-and-variability-of-statistical-dependencies-between-peak-volume-and-duration-of-rainfalldriven-flood-events(47debb78-5acb-46c1-8251-5e783ab4f4bc).html
https://biblio.vub.ac.be/vubir/origin-and-variability-of-statistical-dependencies-between-peak-volume-and-duration-of-rainfalldriven-flood-events(47debb78-5acb-46c1-8251-5e783ab4f4bc).html