Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Andrea Ficchì"'
Autor:
Maureen A. Wanzala, Andrea Ficchi, Hannah L. Cloke, Elisabeth M. Stephens, Heou M. Badjana, David A. Lavers
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 41, Iss , Pp 101105- (2022)
Study region: 19 flood prone catchments in Kenya, Eastern Africa Study focus: Flooding is a major natural hazard especially in developing countries, and the need for timely, reliable, and actionable hydrological forecasts is paramount. Hydrological m
Externí odkaz:
https://doaj.org/article/67b5b6ed6301442b95c327a25e1f756e
Autor:
Andrea Ficchì, Hannah Cloke, Claudia Neves, Steve Woolnough, Erin Coughlan de Perez, Ervin Zsoter, Izidine Pinto, Arlindo Meque, Elisabeth Stephens
Publikováno v:
Weather and Climate Extremes, Vol 33, Iss , Pp 100345- (2021)
The El Niño Southern Oscillation (ENSO) dominates the conversation about predictability of climate extremes and early warning and preparedness for floods and droughts, but in Africa other modes of climate variability are also known to influence rain
Externí odkaz:
https://doaj.org/article/30406983864441feba2c1b1bfd31c608
Autor:
Andrea Ficchì, Liz Stephens
Publikováno v:
Geophysical Research Letters, Vol 46, Iss 15, Pp 8809-8819 (2019)
Abstract Modes of climate variability are known to influence rainy season onset, but there is less understanding of how they impact flood timing. We use streamflow reanalysis and gauged observation data sets to examine the influence of the Indian Oce
Externí odkaz:
https://doaj.org/article/9b248e02f9444c0cbb927d8196a3e5eb
Autor:
Andrea Castelletti, Andrea Ficchì, Andrea Cominola, Pablo Segovia, Matteo Giuliani, Wenyan Wu, Sergio Lucia, Carlos Ocampo-Martinez, Bart De Schutter, José María Maestre
Publikováno v:
Annual Reviews in Control. 55:442-465
Autor:
Faith Mitheu, Elisabeth Stephens, Celia Petty, Andrea Ficchì, Elena Tarnavsky, Rosalind Cornforth
Publikováno v:
Weather, Climate, and Society.
Anticipatory actions are increasingly being taken before an extreme flood event to reduce the impacts on lives and livelihoods. Local contextualised information is required to support real-time local decisions on where and when to act and what antici
Machine-learning enhanced forecast of tropical cyclone rainfall for anticipatory humanitarian action
Autor:
Andrea Ficchì, Guido Ascenso, Matteo Giuliani, Enrico Scoccimarro, Linus Magnusson, Rebecca Emerton, Elisabeth Stephens, Andrea Castelletti
Tropical Cyclones (TCs) have the potential to cause extreme rainfall and storm surge, which in turn can lead to riverine and coastal flooding with huge damage to property and loss of lives.The use of precipitation forecasts in the context of decision
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea833d7e6277f24a92ecf66d42170326
https://doi.org/10.5194/egusphere-egu23-15188
https://doi.org/10.5194/egusphere-egu23-15188
Autor:
Guido Ascenso, Andrea Ficchì, Leone Cavicchia, Enrico Scoccimarro, Matteo Giuliani, Andrea Castelletti
Tropical cyclones (TCs) are one of the costliest and deadliest natural disasters due to the combination of their strong winds and induced storm surges and heavy precipitation, which can cause devastating floods. Unfortunately, due to its high spatio-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b21f3b5f1b81326703b94299e70a17e0
https://doi.org/10.5194/egusphere-egu23-8085
https://doi.org/10.5194/egusphere-egu23-8085
Autor:
Andrea Ficchì, Federico Staffa, Raffaele Giuseppe Cestari, Simone Formentin, Andrea Castelletti
Hydro-meteorological forecasts are more and more easily available with improving skill over longer timescales and with higher spatiotemporal resolutions. Their uncertainties are commonly represented by ensemble prediction systems which are now domina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf7fd3a236758343c317ddd69548a309
https://doi.org/10.5194/egusphere-egu22-5846
https://doi.org/10.5194/egusphere-egu22-5846
Given the ever-growing accuracy of forecast products over different lead times, it’s increasingly important to understand how to efficiently select and use the most valuable information to support adaptive and robust management of water resources u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6790d3a3b17a4654d04f11821c0be32e
https://doi.org/10.5194/egusphere-egu22-5783
https://doi.org/10.5194/egusphere-egu22-5783
Autor:
Douglas Mulangwa, Andrea Ficchì, Philip Nyenje, Jotham Sempewo, Linda Speight, Hannah Cloke, Shaun Harrigan, Benon Zaake, Liz Stephens
This study aims to evaluate the comparative suitability of a global hydrological forecasting and monitoring system, the Copernicus-Emergency Management Service - Global Flood Awareness System (GloFAS), and a local catchment-based model (GR4J) as poss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f8c257a612b51959721cbf2d662b8d4
https://doi.org/10.5194/egusphere-egu22-3341
https://doi.org/10.5194/egusphere-egu22-3341