Matches in SemOpenAlex for { <https://semopenalex.org/work/W4322006420> ?p ?o ?g. }
Showing items 1 to 64 of
64
with 100 items per page.
- W4322006420 abstract "Great advancement has been achieved in the last decade in 2D shallow water solvers for flood modelling. However, their application to physically-based flood forecasting continues to be experimental and not widespread. One of the central challenges towards operational flood forecasting with 2D solvers is their computational cost, which needs to be reconciled with the required lead times for forecasts to be of use. Nonetheless, these solvers have great potential to improve flood forecasting predictions, especially when it comes to flash floods, for which the established 1D and conceptual models may be significantly less applicable.The shallow water solver SERGHEI-SWE leverages on robust and efficient numerical techniques and is implemented for High Performance Computing (HPC), allowing its use in supercomputers and opening new opportunities in 2D flood forecasting. In this contribution, we present proof-of-concept simulations of several flood events in different catchment and river systems. We show that, with SERGHEI-SWE, it is possible to run very high resolution flood simulations for large hydrological systems with runtimes significantly lower than the event duration. This property is essential to enable operational forecasting with useful lead times.We run simulations on three river reaches, in the Italian river Po (125 km reach between Boretto and Pontelagoscuro) and in one of its tributaries, the river Secchia (20 km reach), and a meandering reach of the Ebro river through the city of Zaragoza. We also perform flash flood simulations on a 5 km2 district of Nice (France), and in a 50 km2 agricultural catchment in Jaén (Spain). The focus of the exercise is on the computational performance aspect and not on the model performance. The results show that high resolution simulations can be done with runtimes in the order of 100 times faster than real time, potentially allowing a very good forecast lead time. We also explore different combinations of computational resources, model resolution and ensemble size to explore the flexibility of the modelling approach under different computational systems, which may be available for flood forecasting." @default.
- W4322006420 created "2023-02-26" @default.
- W4322006420 creator A5005723356 @default.
- W4322006420 creator A5008802212 @default.
- W4322006420 creator A5017122511 @default.
- W4322006420 creator A5050840412 @default.
- W4322006420 date "2023-05-15" @default.
- W4322006420 modified "2023-10-16" @default.
- W4322006420 title "Towards 2D flood forecasting with the HPC-enabled shallow water solver SERGHEI-SWE" @default.
- W4322006420 doi "https://doi.org/10.5194/egusphere-egu23-7798" @default.
- W4322006420 hasPublicationYear "2023" @default.
- W4322006420 type Work @default.
- W4322006420 citedByCount "0" @default.
- W4322006420 crossrefType "posted-content" @default.
- W4322006420 hasAuthorship W4322006420A5005723356 @default.
- W4322006420 hasAuthorship W4322006420A5008802212 @default.
- W4322006420 hasAuthorship W4322006420A5017122511 @default.
- W4322006420 hasAuthorship W4322006420A5050840412 @default.
- W4322006420 hasConcept C120417685 @default.
- W4322006420 hasConcept C127313418 @default.
- W4322006420 hasConcept C153294291 @default.
- W4322006420 hasConcept C166957645 @default.
- W4322006420 hasConcept C16828302 @default.
- W4322006420 hasConcept C183195422 @default.
- W4322006420 hasConcept C187320778 @default.
- W4322006420 hasConcept C199360897 @default.
- W4322006420 hasConcept C205649164 @default.
- W4322006420 hasConcept C2778770139 @default.
- W4322006420 hasConcept C39432304 @default.
- W4322006420 hasConcept C41008148 @default.
- W4322006420 hasConcept C58640448 @default.
- W4322006420 hasConcept C74256435 @default.
- W4322006420 hasConcept C76886044 @default.
- W4322006420 hasConceptScore W4322006420C120417685 @default.
- W4322006420 hasConceptScore W4322006420C127313418 @default.
- W4322006420 hasConceptScore W4322006420C153294291 @default.
- W4322006420 hasConceptScore W4322006420C166957645 @default.
- W4322006420 hasConceptScore W4322006420C16828302 @default.
- W4322006420 hasConceptScore W4322006420C183195422 @default.
- W4322006420 hasConceptScore W4322006420C187320778 @default.
- W4322006420 hasConceptScore W4322006420C199360897 @default.
- W4322006420 hasConceptScore W4322006420C205649164 @default.
- W4322006420 hasConceptScore W4322006420C2778770139 @default.
- W4322006420 hasConceptScore W4322006420C39432304 @default.
- W4322006420 hasConceptScore W4322006420C41008148 @default.
- W4322006420 hasConceptScore W4322006420C58640448 @default.
- W4322006420 hasConceptScore W4322006420C74256435 @default.
- W4322006420 hasConceptScore W4322006420C76886044 @default.
- W4322006420 hasLocation W43220064201 @default.
- W4322006420 hasOpenAccess W4322006420 @default.
- W4322006420 hasPrimaryLocation W43220064201 @default.
- W4322006420 hasRelatedWork W114929021 @default.
- W4322006420 hasRelatedWork W1965587695 @default.
- W4322006420 hasRelatedWork W2046518415 @default.
- W4322006420 hasRelatedWork W2268534958 @default.
- W4322006420 hasRelatedWork W2273408494 @default.
- W4322006420 hasRelatedWork W2327002312 @default.
- W4322006420 hasRelatedWork W2341147022 @default.
- W4322006420 hasRelatedWork W2343315206 @default.
- W4322006420 hasRelatedWork W2375218710 @default.
- W4322006420 hasRelatedWork W4322006420 @default.
- W4322006420 isParatext "false" @default.
- W4322006420 isRetracted "false" @default.
- W4322006420 workType "article" @default.