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[HTML][HTML] Flood risk in urban areas: Modelling, management and adaptation to climate change. A review
The modelling and management of flood risk in urban areas are increasingly recognized as
global challenges. The complexity of these issues is a consequence of the existence of …
global challenges. The complexity of these issues is a consequence of the existence of …
A review of hydrodynamic and machine learning approaches for flood inundation modeling
Machine learning (also called data-driven) methods have become popular in modeling flood
inundations across river basins. Among data-driven methods, traditional machine learning …
inundations across river basins. Among data-driven methods, traditional machine learning …
[HTML][HTML] Gaussian process emulation of spatio-temporal outputs of a 2D inland flood model
The computational limitations of complex numerical models have led to adoption of
statistical emulators across a variety of problems in science and engineering disciplines to …
statistical emulators across a variety of problems in science and engineering disciplines to …
Toward street‐level nowcasting of flash floods impacts based on HPC hydrodynamic modeling at the watershed scale and high‐resolution weather radar data
In our era, the rapid increase of parallel programming coupled with high‐performance
computing (HPC) facilities allows for the use of two‐dimensional shallow water equation (2D …
computing (HPC) facilities allows for the use of two‐dimensional shallow water equation (2D …
[HTML][HTML] Assessment of surrogate models for flood inundation: The physics-guided LSG model vs. state-of-the-art machine learning models
Hydrodynamic models can accurately simulate flood inundation but are limited by their high
computational demand that scales non-linearly with model complexity, resolution, and …
computational demand that scales non-linearly with model complexity, resolution, and …
[HTML][HTML] An integrated GPU-accelerated modeling framework for high-resolution simulations of rural and urban flash floods
This paper presents an integrated modeling framework aiming at accurate predictions of
flood hazard from heavy rainfalls. The accuracy of such predictions generally depends on …
flood hazard from heavy rainfalls. The accuracy of such predictions generally depends on …
SERGHEI (SERGHEI-SWE) v1. 0: a performance-portable high-performance parallel-computing shallow-water solver for hydrology and environmental hydraulics
The Simulation EnviRonment for Geomorphology, Hydrodynamics, and Ecohydrology in
Integrated form (SERGHEI) is a multi-dimensional, multi-domain, and multi-physics model …
Integrated form (SERGHEI) is a multi-dimensional, multi-domain, and multi-physics model …
Supercharging hydrodynamic inundation models for instant flood insight
Floods are one of the most frequent and devastating natural disasters for human
communities. Currently, flood response management globally commonly relies on …
communities. Currently, flood response management globally commonly relies on …
A framework for mechanistic flood inundation forecasting at the metropolitan scale
Urban flooding from extreme precipitation and storm surge is a growing threat to cities, and
detailed forecasts of urban inundation are needed for emergency response. We present a …
detailed forecasts of urban inundation are needed for emergency response. We present a …
Development of a fast and accurate hybrid model for floodplain inundation simulations
High computational cost is often the most limiting factor when running high‐resolution
hydrodynamic models to simulate spatial‐temporal flood inundation behavior. To address …
hydrodynamic models to simulate spatial‐temporal flood inundation behavior. To address …