Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Stefania GRIMALDI"'
Autor:
Christel Prudhomme, Ervin Zsótér, Gwyneth Matthews, Angelique Melet, Stefania Grimaldi, Hao Zuo, Eleanor Hansford, Shaun Harrigan, Cinzia Mazzetti, Eric deBoisseson, Peter Salamon, Gilles Garric
Publikováno v:
Meteorological Applications, Vol 31, Iss 2, Pp n/a-n/a (2024)
Abstract Global hydrological reanalyses are modelled datasets providing information on river discharge evolution everywhere in the world. With multi‐decadal daily timeseries, they provide long‐term context to identify extreme hydrological events
Externí odkaz:
https://doaj.org/article/4c6b47d99dad4eee9bbe4d9a729368b0
Autor:
Elia Cantoni, Yves Tramblay, Stefania Grimaldi, Peter Salamon, Hamouda Dakhlaoui, Alain Dezetter, Vera Thiemig
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 42, Iss , Pp 101169- (2022)
Study region: This study is focused on 6 catchments in Tunisia, in North Africa, under a semi-arid climate where daily river discharge and precipitation observations are available between 1992 and 2006. Study focus: The distributed hydrological model
Externí odkaz:
https://doaj.org/article/43d9a8c6e9414d5d9ca742d82c024c8f
Autor:
Peter Braun, Gregor Grass, Angela Aceti, Luigina Serrecchia, Alessia Affuso, Leonardo Marino, Stefania Grimaldi, Stefania Pagano, Matthias Hanczaruk, Enrico Georgi, Bernd Northoff, Anne Schöler, Michael Schloter, Markus Antwerpen, Antonio Fasanella
Publikováno v:
PLoS ONE, Vol 10, Iss 8, p e0135346 (2015)
During an anthrax outbreak at the Pollino National Park (Basilicata, Italy) in 2004, diseased cattle were buried and from these anthrax-foci Bacillus anthracis endospores still diffuse to the surface resulting in local accumulations. Recent data sugg
Externí odkaz:
https://doaj.org/article/163c0ef20f154c55b1fdcac60c119dd2
Publikováno v:
Remote Sensing, Vol 8, Iss 6, p 456 (2016)
Fluvial flooding is one of the most catastrophic natural disasters threatening people’s lives and possessions. Flood forecasting systems, which simulate runoff generation and propagation processes, provide information to support flood warning deliv
Externí odkaz:
https://doaj.org/article/e5897e4bf8874538834324457ec9fabc
Autor:
Aloïs Tilloy, Dominik Paprotny, Lorenzo Mentaschi, Simon Treu, Stefan Lange, Alessandra Bianchi, Peter Salamon, Stefania Grimaldi, Goncalo Gomes, Matthias Mengel, Luc Feyen
Hydrological extremes are non-stationary, displaying long-term trends and natural oscillations. These changes in extremes can be driven by multiple factors including climatic (climate variability, climate change) and socio-economic (land use changes,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d724991e63d36c4396980b4b2ec967df
https://doi.org/10.5194/egusphere-egu23-5335
https://doi.org/10.5194/egusphere-egu23-5335
Autor:
Stefania Grimaldi, Peter Salamon, Carlo Russo, Juliana Disperati, Ervin Zsoster, Corentin Carton De Wiart, Cinzia Mazzetti, Margarita Choulga, Francesca Moschini, Shaun Harrigan, Goncalo Gomes, Casado-Rodríguez Jesus, Arthur Ramos, Christopher Barnard, Eleanor Hansford, Christel Prudhomme
The Global Flood Awareness System (GloFAS, https://www.globalfloods.eu/) is a freely available flood forecasting service that is running fully operational as part of the Copernicus Emergency Management Service since April 2018. GloFAS offers a number
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42eca36079b4df51530a7bc13ba27d12
https://doi.org/10.5194/egusphere-egu23-3410
https://doi.org/10.5194/egusphere-egu23-3410
The European Flood Awareness System (EFAS) of the Copernicus Emergency Management Service is an operational forecasting system whose aim is to raise awareness about floods in European transnational rivers. It produces probabilistic, medium-range disc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50efbadadfda5c099b1ff988c8a8e7aa
https://doi.org/10.5194/egusphere-egu23-5511
https://doi.org/10.5194/egusphere-egu23-5511
Floods are one the costliest natural disasters, having caused global economic losses worth over USD 51 million and >6000 fatalities just in 2020. Hydrodynamic modelling and forecasting of flood inundation requires distributed observations of flood de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07570dee784af410ec8c3261dcad6c30
https://doi.org/10.5194/egusphere-egu23-2029
https://doi.org/10.5194/egusphere-egu23-2029
Autor:
Dario BUGADA, Christian COMPAGNONE, Silvia BETTINELLI, Stefania GRIMALDI, Manuela DE GREGORI, Carolina MUSCOLI, Roberto BERRETTA, Lorenzo COBIANCHI, Andrea PELOSO, Luca LORINI, Patricia LAVAND’HOMME, Massimo ALLEGRI
Publikováno v:
Minerva Anestesiologica.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae32c36fef7c49cff8fd12a1aa9b8c56
https://doi.org/10.23736/s0375-9393.23.16547-3
https://doi.org/10.23736/s0375-9393.23.16547-3
Autor:
Stefania Grimaldi, Lorenzo Alfieri, D. Vanham, Luc Feyen, Valerio Lorini, Martina Flörke, Ad de Roo
Publikováno v:
The Lancet Planetary Health. 5:e766-e774
Summary Background Increasing human demand for water and changes in water availability due to climate change threatens water security worldwide. Additionally, exploitation of water resources induces stress on freshwater environments, leading to biodi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05a47487c6c0c14bfa9428684e6c47cb
https://doi.org/10.1016/s2542-5196(21)00234-5
https://doi.org/10.1016/s2542-5196(21)00234-5