A5040778103- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Climate variability and models
- Tropical and Extratropical Cyclones Research
- Meteorological Phenomena and Simulations
University of Bristol
2021-2024
At Bristol
2020-2024
This study reports a new and significantly enhanced analysis of US flood hazard at 30 m spatial resolution. Specific improvements include updated hydrography data, methods to determine channel depth, more rigorous frequency analysis, output downscaling property tract level, inclusion the impact local interventions in flooding system. For first time, we consider pluvial, fluvial, coastal hazards within same framework provide projections for both current (rather than historic average)...
<p>This talk reports a new and significantly enhanced analysis of US flood hazard at 30m spatial resolution.  For the first time we consider pluvial, fluvial coastal hazards within same framework provide projections for both current (rather than historic average) conditions future periods centred on 2035 2050 under RCP4.5 emissions pathway.  Validation against high quality local models entire catalogue FEMA 1% annual probability maps yielded Critical...
Abstract Typical flood models do not take into consideration the spatial structure of events, which can lead to errors in estimation risk at regional continental scales. Large‐scale stochastic simulate synthetic events with a realistic structure, although this method is limited by availability gauge data. Simulated discharge from global hydrological has been successfully used drive modeling data‐rich areas. This research evaluates use hindcasts building river globally: different regions...
Abstract Flood event set generation, as employed in catastrophe risk models, relies on gauge information that is not available data‐scarce regions. To overcome this limitation, we develop a stochastic fluvial and pluvial flood model of Southeast Asia, using freely globally discharge data from the global hydrological GloFAS rainfall ERA5 reanalysis. We use conditional multivariate statistical to produce synthetic catalog 10,000 years events. calculate population exposure associated with each...
This paper reports a new and significantly enhanced analysis of US flood hazard at 30m spatial resolution. Specific improvements include updated hydrography data, methods to determine channel depth, more rigorous frequency analysis, output downscaling property tract level inclusion the impact local interventions in flooding system. For first time we consider pluvial, fluvial coastal hazards within same framework provide projections for both current (rather than historic average) conditions...
Stochastic flood models can simulate synthetic events with a realistic spatial structure, unlike traditional models, which do not take into consideration the dependency of events. This is particularly relevant to loss calculations at regional continental scales. The development large-scale stochastic has been limited so far by availability gauge data, needed as model input. Global hydrological provide simulated discharge hindcasts that have used drive modelling in data-rich areas. research...
A series of recent flood events in Canada affecting areas around lakes and reservoirs have highlighted the need to explicitly represent such features large scale models. Water level fluctuations are traditionally modelled using detailed hydrological models designed – as far possible actual physical processes that take place. This approach, while appropriate for local-scale studies data-rich areas, is not applicable large-scale modelling where data availability model calibration validation...
<p>Flood models typically produce flood maps with constant return periods in space, without considering the spatial structure of events. At a large scale, this can lead to misestimation risk and losses caused by extreme A stochastic approach global modelling allows simulation sets events realistic that overcome problem, but until recently has been limited availability gauge data. Previous research shows simulated discharge data from hydrological be used develop model United...
Earth and Space Science Open Archive PosterOpen AccessYou are viewing the latest version by default [v1]Can Hydrological Models Be Used to Characterise Spatial Dependency in Global Stochastic Flood Modelling?AuthorsGaiaOlceseiDPaulBatesiDJeffreyNealiDChristopherSampsoniDOliverWingNiallQuinniDSee all authors Gaia OlceseiDCorresponding Author• Submitting AuthorUniversity of BristoliDhttps://orcid.org/0000-0002-3834-7144view email addressThe was not providedcopy addressPaul BatesiDUniversity...