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Improving flood forecasts for better flood preparedness in the UK (and beyond)

Bibliographic Data

ID4641197
AuthorsElisabeth Stephens (0000-0002-5439-7563, Department of Geography and Environmental Science University of Reading Whiteknights, Reading RG6 6AB), Hannah Cloke (0000-0002-1472-868X, Department of Geography and Environmental Science University of Reading Whiteknights, Reading RG6 6AB)
Year2014
Volume180
Issue4
Pages310-316
Publication date2014-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueGeographical Journal (JOURNAL)
Journal identifiersISSN: 0016-7398 • E-ISSN: 1475-4959
PublisherWiley (PUBLISHER • GB)
DOI10.1111/geoj.12103
OpenAlexW1844709897
LanguageEN
Citations received5
References cited30

This winter (2013/14) coastal storms and an unprecedented amount of rainfall led to significant and widespread flooding across the southern UK. Despite much criticism and blame surrounding the flood events, the Flood Forecasting Centre, a recent development in national-level flood forecasting capabilities for the government and emergency response communities, has received considerable praise. Here we consider how scientific developments and organisational change have led to improvements in the forecasting and flood preparedness seen in this winter's flooding. Although such improvements are admirable, there are many technical and communication challenges that remain for probabilistic flood forecasts to achieve their full potential

Blame · Economic growth · Economics · Emergency management · Environmental planning · Flood forecasting · Flood myth · Flood warning · Flooding (psychology · Geography · Government (linguistics · Meteorology · Political science · Praise · Preparedness · Storm · Environmental Science · Flood Risk Assessment and Management · Hydrology and Watershed Management Studies · Meteorological Phenomena and Simulations · Psychology

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    Open Access•Andy J Howard, David Knights et al.•Journal of Cultural Heritage•2016

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    Open Access•Bruno Merz, J Hall et al.•Natural Hazards and Earth System…•2010

  • Communicating probabilistic information from climate model ensembles—lessons from numerical weather prediction

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Unique citing works5
Citations per year0.42
Citation span2014 - 2022 (9)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 5

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