Recommendations for Improving Integration in National End-to-End Flood Forecasting Systems: An Overview of the FFIR (Flooding From Intense Rainfall) Programme.

作者: David Flack , Christopher Skinner , Lee Hawkness-Smith , Greg O’Donnell , Robert Thompson

DOI: 10.3390/W11040725

关键词: End userFlood mythFlood forecastingEnvironmental planningFlooding (psychology)Position (finance)Flash floodLead timeNumerical weather predictionComputer science

摘要: Recent surface-water and flash floods have caused millions of pounds worth damage in the UK. These events form rapidly are difficult to predict due their short-lived localised nature. The interdisciplinary Flooding From Intense Rainfall (FFIR) programme investigated feasibility enhancing integration an end-to-end forecasting system for help increase lead time warnings these events. Here we propose developments operational based on findings FFIR programme. suggested include methods improve radar-derived rainfall rates understanding uncertainty position intense weather forecasts; addition hydraulic modelling components; novel education techniques effective dissemination flood warnings. We make recommendations future advances such as research into propagation throughout forecast chain. further creation closer bonds end users allow improved, integrated, that is easily accessible alike, will ultimately mitigate impacts flooding from by informed timely action.

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