2020
DOI: 10.1002/joc.6431
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Atmospheric precursors for intense summer rainfall over the United Kingdom

Abstract: Intense sub‐daily summer rainfall is linked to flooding impacts in the United Kingdom. Characterizing the atmospheric conditions prior to the rainfall event can improve understanding of the large‐scale mechanisms involved. The most intense sub‐daily rainfall intensity data generated from rain gauge records across the United Kingdom over the period 1979–2014 are combined with fields from the ERA Interim reanalysis to characterize atmospheric conditions prior to heavy rainfall events. The 200 most intense 3‐hour… Show more

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Cited by 17 publications
(24 citation statements)
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“…Similarly, we included part of North Africa to see if the temperature there would result in a separate summer cluster for a Spanish Plume mechanism. This means our study region is slightly larger than the one considered by, for example, Allan et al (2019).…”
Section: Meteorological Datamentioning
confidence: 92%
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“…Similarly, we included part of North Africa to see if the temperature there would result in a separate summer cluster for a Spanish Plume mechanism. This means our study region is slightly larger than the one considered by, for example, Allan et al (2019).…”
Section: Meteorological Datamentioning
confidence: 92%
“…The clustering results in a range of combined synoptic patterns, instead of a single composite pattern for each driver separately as in, for example, the detailed sub‐daily summer rainfall studies of Allan et al . (2019) and Champion et al . (2019).…”
Section: Introductionmentioning
confidence: 95%
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“…Further to this, both Figures 6 and 7 indicate on the day of occurrence the conditions across the rest of the North Atlantic are not contributing to the resulting classifications. This raises the question of how these contributions could change if the classifiers were trained using patterns of the days prior to an event, as it is known that certain prior meteorological conditions are common to some extreme rainfall events (Allan et al 2019).…”
Section: Spatial Sensitivitymentioning
confidence: 99%