FloodCastBench: A Large-Scale Dataset and Foundation Models for Flood Modeling and Forecasting [PDF]
Scientific DataEffective flood forecasting is crucial for informed decision-making and emergency response. Existing flood datasets mainly describe flood events but lack dynamic process data suitable for machine learning (ML).
Qingsong Xu +3 more
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Research on a hybrid model for flood probability prediction based on time convolutional network and particle swarm optimization algorithm [PDF]
Scientific ReportsAccurate flood forecasting in advance is crucial for planning and implementing watershed flood prevention measures. This study developed the PSO–TCN–Bootstrap flood forecasting model for the Tailan River Basin in Xinjiang by integrating the particle ...
Qiying Yu +11 more
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2021 UK floods: improvements and recommendations from the flood forecasting centre
Hydrology Research, 2023 In recognition of the increased risk to national resilience from flooding, we provide an overview of recent and future improvements to flood risk forecasting and communication at the Flood Forecasting Centre (FFC).
Charles Pilling +5 more
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2021 UK floods: event summaries and reflections from the Flood Forecasting Centre
Hydrology Research, 2023 Flooding in 2021 has highlighted the increased risk to national resilience. This is against a backdrop of the UK climate projected to become more extreme over the next few decades.
Charles Pilling +5 more
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Flood Forecasting with Merged Satellite Precipitation and Hydrologic Model [PDF]
E3S Web of Conferences, 2022 Flood forecasting has been an effective way to reduce the potential flood hazards for a sustainable socio-economy. However, the lack of in-situ precipitation records has limited the applicability of flood forecasting with hydrologic models in poorly ...
Dong Ningpeng +3 more
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Development of seasonal flow outlook model for Ganges-Brahmaputra Basins in Bangladesh [PDF]
Proceedings of the International Association of Hydrological Sciences, 2016 Bangladesh is crisscrossed by the branches and tributaries of three main river systems, the Ganges, Bramaputra and Meghna (GBM). The temporal variation of water availability of those rivers has an impact on the different water usages such as ...
S. Hossain +4 more
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A crash-testing framework for predictive uncertainty assessment when forecasting high flows in an extrapolation context [PDF]
Hydrology and Earth System Sciences, 2020 An increasing number of flood forecasting services assess and communicate the uncertainty associated with their forecasts. While obtaining reliable forecasts is a key issue, it is a challenging task, especially when forecasting high flows in an ...
L. Berthet +6 more
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Flood modeling of Sungai Pinang Watershed under the impact of urbanization
Tropical Cyclone Research and Review, 2021 Urbanization has been a worldwide development trend, which regulates river courses, impervious surfaces and drainage systems. Urbanization causes hydrological effects, including increased runoff volumes, peak discharges and flow concentrations.
Sazali Osman +4 more
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Remote Sensing, 2021 Accurate and long leading time flood forecasting is very important for flood disaster mitigation. It is an effective method to couple the Quantitative Precipitation Forecast (QPF) products provided by Numerical Weather Prediction (NWP) models to a ...
Tianwei Gu +5 more
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Regional Index Insurance Using Satellite‐Based Fractional Flooded Area
Earth's Future, 2022 Emerging parametric insurance products targeted at regional governments consider an index of flooding as the instrument for payoff and rate setting. Inundation extent from satellite remote sensing may provide a more direct measure of flood risk in this ...
Beth Tellman +3 more
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