Recommendations for improving integration in national end-to-end flood forecasting systems:An overview of the FFIR (Flooding From Intense Rainfall) programme
| العنوان: | Recommendations for improving integration in national end-to-end flood forecasting systems:An overview of the FFIR (Flooding From Intense Rainfall) programme |
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| المؤلفون: | Greg O'Donnell, Matthew T. Perks, Albert S. Chen, Chloé Largeron, Jessica Moloney, Joanne A. Waller, Lee Hawkness-Smith, Xilin Xia, Linda Speight, Robert J. Thompson, Adrian J. Champion, Stephen Blenkinsop, Christopher Skinner, David L. A. Flack, Niall Quinn |
| المصدر: | Flack, D L A, Skinner, C J, Hawkness-Smith, L, O'Donnell, G, Thompson, R J, Waller, J A, Chen, A S, Moloney, J, Largeron, C, Xia, X, Blenkinsop, S, Champion, A J, Perks, M T, Quinn, N & Speight, L J 2019, ' Recommendations for improving integration in national end-to-end flood forecasting systems : An overview of the FFIR (Flooding From Intense Rainfall) programme ', Water (Switzerland), vol. 11, no. 4, 725 . https://doi.org/10.3390/w11040725Test Water, Vol 11, Iss 4, p 725 (2019) |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | lcsh:Hydraulic engineering, 010504 meteorology & atmospheric sciences, Intense rainfall, Computer science, Geography, Planning and Development, Flood forecasting, End-to-end forecasting, 0207 environmental engineering, Weather forecasting, Numerical weather prediction, numerical weather prediction, 02 engineering and technology, Aquatic Science, computer.software_genre, 01 natural sciences, Biochemistry, Hydraulic modelling, Public outreach, flooding, lcsh:Water supply for domestic and industrial purposes, lcsh:TC1-978, Flooding, Flash flood, 020701 environmental engineering, Environmental planning, data assimilation, 0105 earth and related environmental sciences, Water Science and Technology, lcsh:TD201-500, Radar, Flood myth, End user, Flooding (psychology), intense rainfall, end-to-end forecasting, Data assimilation, public outreach, hydraulic modelling, computer, Lead time, radar |
| الوصف: | Recent surface-water and flash floods have caused millions of pounds worth of damage in the UK. These events form rapidly and are difficult to predict due to their short-lived and localised nature. The interdisciplinary Flooding From Intense Rainfall (FFIR) programme investigated the feasibility of enhancing the integration of an end-to-end forecasting system for flash and surface-water floods to help increase the lead time for warnings for these events. Here we propose developments to the integration of an operational end-to-end forecasting system based on the findings of the FFIR programme. The suggested developments include methods to improve radar-derived rainfall rates and understanding of the uncertainty in the position of intense rainfall in weather forecasts; the addition of hydraulic modelling components; and novel education techniques to help lead to effective dissemination of flood warnings. We make recommendations for future advances such as research into the propagation of uncertainty throughout the forecast chain. We further propose the creation of closer bonds to the end users to allow for an improved, integrated, end-to-end forecasting system that is easily accessible for users and end users alike, and will ultimately help mitigate the impacts of flooding from intense rainfall by informed and timely action. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 2073-4441 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18cb13906fac0c488886c4aa4fd07f0fTest https://research-information.bris.ac.uk/en/publications/e9d095b2-2e47-4457-b436-cec1a93c5c2dTest |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....18cb13906fac0c488886c4aa4fd07f0f |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20734441 |
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