Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Michael Cranston"'
Autor:
Michael Cranston, Adrien Peltzer
Publikováno v:
Rocky Mountain Journal of Mathematics. 52
Extreme rainfall in Scotland on 11 and 12 August 2020: evaluation of impact‐based rainfall forecasts
Autor:
Michael Cranston, Michael Sharpe
Publikováno v:
Weather. 76:254-260
Autor:
Michael Cranston, Rob Lamb, Jim Brown, Richard Newell, Christopher J. White, Marta Roca, Gustavo A. M. de Almeida, Enrico Tubaldi, Richard Mathews, Stergios A. Mitoulis, Martin Hardman, Daniele Zonta, Edoardo Patelli, Hazel McDonald, Alonso Pizarro, Eftychia Koursari
Bridges are critical-infrastructure components of road and rail transport networks. A large number of these critical assets cross or are adjacent to waterways and floodplains and are therefore exposed to flood actions such as scour, hydrodynamic load
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7ca4ae598c6c2c982ff650250f36fd6
https://strathprints.strath.ac.uk/79857/1/Tubaldi_etal_NHESS_2022_Invited_perspectives_challenges_and_future_directions_in_improving_bridge_flood_resilience.pdf
https://strathprints.strath.ac.uk/79857/1/Tubaldi_etal_NHESS_2022_Invited_perspectives_challenges_and_future_directions_in_improving_bridge_flood_resilience.pdf
Autor:
Michael Cranston, Amy Donovan, Alison Sneddon, Puja Shakya, Sarah Brown, Madhab Uprety, Sumit Dugar, Paul Smith, Mirianna Budimir, Dilip Gautam
Publikováno v:
Geoscience Communication, Vol 3, Pp 49-70 (2020)
Early warning systems have the potential to save lives and improve resilience. However, barriers and challenges remain in disseminating and communicating early warning information to institutional decision-makers, community members and individuals at
Autor:
Michael Cranston, Stanislav Molchanov
Publikováno v:
Science China Mathematics. 62:1463-1476
We begin with the reference measure P0 induced by simple, symmetric nearest neighbor continuous time random walk on Zd starting at 0 with jump rate 2d and then define, for β ⩾ 0, t > 0, the Gibbs probability measure Pβ,t by specifying its density
Surface water (or pluvial) flooding is caused by intense rainfall before it enters rivers or drainage systems. As the climate changes and urban populations grow, the number of people around the world at risk of surface water flooding is increasing. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::694df1ae6185919798670412af8f4847
https://centaur.reading.ac.uk/96038/8/wat2.1517.pdf
https://centaur.reading.ac.uk/96038/8/wat2.1517.pdf
Surface water flooding is caused by intense rainfall before it enters rivers or drainage systems. As the climate changes and urban populations grow, the number of people around the world at risk of surface water flooding increases. Although it may no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99be19be41b9baab1a47598f486e39c0
https://doi.org/10.5194/egusphere-egu2020-20391
https://doi.org/10.5194/egusphere-egu2020-20391
Autor:
Steven J. Cole, Linda Speight, Bruce J. Wright, Robert J. Moore, Sohan Ghimire, Clive Pierce, Amy Tavendale, Juzer Dhondia, Brian Golding, Michael Cranston
Publikováno v:
Journal of Flood Risk Management. 11:S884-S901
Existing surface water flood forecasting methods in Scotland are based on indicative depth‐duration rainfall thresholds with limited understanding of the likelihood of inundation or associated impacts. Innovative risk‐based solutions are urgently
Autor:
Michael Cranston, Puja Shakya, Alison Sneddon, Madhab Uprety, Sarah Brown, Paul Smith, Sumit Dugar, Amy Donovan, Mirianna Budimir, Dilip Gautam
Early warning systems have the potential to save lives and improve resilience. Simple early warning systems rely on real-time data and deterministic models to generate evacuation warnings; these simple deterministic models enable life-saving action,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4106219dc6eacfee0af70741ab00102c
https://www.geosci-commun-discuss.net/gc-2019-3/
https://www.geosci-commun-discuss.net/gc-2019-3/
Publikováno v:
Ann. Probab. 45, no. 1 (2017), 82-99
Given a field $\{B(x)\}_{x\in\mathbf{Z}^d}$ of independent standard Brownian motions, indexed by $\mathbf{Z}^d$, the generator of a suitable Markov process on $\mathbf{Z}^d,\,\,\mathcal{G},$ and sufficiently nice function $\sigma:[0,\infty)\to[0,\inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5243bc5b9e4d463e0409079fd565d8ca
http://projecteuclid.org/euclid.aop/1485421329
http://projecteuclid.org/euclid.aop/1485421329