Zobrazeno 1 - 10
of 505
pro vyhledávání: '"Niall, Quinn"'
Autor:
Paula Camus, Ivan D. Haigh, Niall Quinn, Thomas Wahl, Thomas Benson, Ben Gouldby, Ahmed A. Nasr, Md Mamunur Rashid, Alejandra R. Enríquez, Stephen E. Darby, Robert J. Nicholls, Norberto C. Nadal-Caraballo
Publikováno v:
Weather and Climate Extremes, Vol 44, Iss , Pp 100662- (2024)
Storm surges are the most important driver of flooding in many coastal areas. Understanding the spatial extent of storm surge events has important financial and practical implications for flood risk management, reinsurance, infrastructure reliability
Externí odkaz:
https://doaj.org/article/921034d371aa4a73bba47e75b95020da
Autor:
Leanne Archer, Jeffrey Neal, Paul Bates, Natalie Lord, Laurence Hawker, Tom Collings, Niall Quinn, David Sear
Publikováno v:
Environmental Research Letters, Vol 19, Iss 12, p 124020 (2024)
Estimates of current and future population exposure to both coastal and inland flooding do not exist consistently in all Small Island Developing States (SIDS), despite these being some of the places most at risk to climate change. This has primarily
Externí odkaz:
https://doaj.org/article/c579284ec3eb4c149361a82a0763d3f1
Publikováno v:
Cell Death and Disease, Vol 13, Iss 8, Pp 1-15 (2022)
Abstract Metastatic malignant melanoma is the deadliest skin cancer, and it is characterised by its high resistance to apoptosis. The main melanoma driving mutations are part of ERK pathway, with BRAF mutations being the most frequent ones, followed
Externí odkaz:
https://doaj.org/article/03c05dd4354a4338b080de6e4517a292
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-7 (2019)
Flood risk modelling neglects the location of people and assets. Here the authors applied machine learning techniques and high-resolution population data to reinvestigate the impact of population distributions on flood exposure and showed that popula
Externí odkaz:
https://doaj.org/article/c14b36755011474ba2a151bf0248d457
Publikováno v:
eLife, Vol 9 (2020)
Genetic interactions, including synthetic lethal effects, can now be systematically identified in cancer cell lines using high-throughput genetic perturbation screens. Despite this advance, few genetic interactions have been reproduced across multipl
Externí odkaz:
https://doaj.org/article/8e586e747ad4476bb5d11047dd6bd123
Autor:
Oliver E.J. Wing, Christopher C. Sampson, Paul D. Bates, Niall Quinn, Andrew M. Smith, Jeffrey C. Neal
Publikováno v:
Journal of Hydrology X, Vol 4, Iss , Pp - (2019)
Forecasts of tropical cyclones have seen rapid improvements in recent years as expanding computational capacity permits more runs of finer resolution meteorological models with increasing representation of physical processes. However, the utilization
Externí odkaz:
https://doaj.org/article/1b9077b6754d4e68af5d30ade24530fa
Inundation from storm tides and ocean waves is one of the greatest threats coastal communities endure; a threat that is increasing with sea-level rise and changes in storminess. Stakeholders require high resolution hazard data to make informed decisi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcfd544e9a4b84b81cf6d6016b8759df
https://eprints.soton.ac.uk/478369/
https://eprints.soton.ac.uk/478369/
Stochastic flood models can simulate synthetic flood events with a realistic spatial structure, unlike traditional flood models, which do not take into consideration the spatial dependency of flood events. This is particularly relevant to loss calcul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c559d87fcbbf27320c22ef19555fd38e
https://doi.org/10.5194/egusphere-egu23-15002
https://doi.org/10.5194/egusphere-egu23-15002
Autor:
Oliver Wing, Niall Quinn, Pete Uhe, James Savage, Chris Sampson, Nans Addor, Natalie Lord, Tom Collings, Simbi Hatchard, Jannis Hoch, Andy Smith, Anthony Cooper, Joe Bates, Hamish Wilkinson, Sam Himsworth, Izzy Probyn, Ivan Haigh, Jeff Neal, Paul Bates
The past decade has seen considerable advances in the field of global flood modelling. In the 2010s, it began as a niche academic endeavour building models of the order 103 m horizontal resolution. In the 2020s, it is maturing into an established sci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71c4e4d4e654dcf62b7c62d767e31d8e
https://doi.org/10.5194/egusphere-egu23-6383
https://doi.org/10.5194/egusphere-egu23-6383
Autor:
James Savage, Pete Uhe, Ollie Wing, Chris Sampson, Andy Smith, Natalie Lord, Nans Addor, Simbi Hatchard, Jannis Hoch, Joe Bates, Niall Quinn, Tom Collings, Izzy Probyn, Ivan Haigh, Joshua Green, Anthony Cooper, Hamish Wilkinson, Sam Himsworth
In recent years there have been many new global datasets and methodological advancements that could be utilised by hydraulic models to help better understand global flood risk both in the present day and in the future. A major challenge facing modell
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::daca00c3327da541c17c3f6d46b8db3d
https://doi.org/10.5194/egusphere-egu23-15051
https://doi.org/10.5194/egusphere-egu23-15051