“…Second, persistent environmental conditions over timescales >72h would ensure storms extreme in only one hazard occur, creating the large correlations observed. Bloomfield et al (2023) investigated the correlation between aggregate wind and flood severity indices for European cyclones over wintertime aggregation periods ranging from 1 to 180 days. The correlations between wind and flood indices were positive but decreased as the length of aggregation period was increased.…”
Section: Aggregate Severitymentioning
confidence: 99%
“…A peak in correlation occurred between aggregation periods of 40 and 60 days. Bloomfield et al (2023) attributes this to soil saturation, a key flooding precursor, being properly captured by this aggregation period. An accurate flooding severity index should account for such time lag between extreme precipitation and flooding.…”
Section: Aggregate Severitymentioning
confidence: 99%
“…(Sources: Storm Prediction Center, Washington Post.) and Wernli, 2015;Martius et al, 2016;Catto and Dowdy, 2021;Owen et al, 2021), fewer studies have focused on accumulated (aggregate) losses (Hillier and Dixon, 2020;Bloomfield et al, 2023).…”
“…Second, persistent environmental conditions over timescales >72h would ensure storms extreme in only one hazard occur, creating the large correlations observed. Bloomfield et al (2023) investigated the correlation between aggregate wind and flood severity indices for European cyclones over wintertime aggregation periods ranging from 1 to 180 days. The correlations between wind and flood indices were positive but decreased as the length of aggregation period was increased.…”
Section: Aggregate Severitymentioning
confidence: 99%
“…A peak in correlation occurred between aggregation periods of 40 and 60 days. Bloomfield et al (2023) attributes this to soil saturation, a key flooding precursor, being properly captured by this aggregation period. An accurate flooding severity index should account for such time lag between extreme precipitation and flooding.…”
Section: Aggregate Severitymentioning
confidence: 99%
“…(Sources: Storm Prediction Center, Washington Post.) and Wernli, 2015;Martius et al, 2016;Catto and Dowdy, 2021;Owen et al, 2021), fewer studies have focused on accumulated (aggregate) losses (Hillier and Dixon, 2020;Bloomfield et al, 2023).…”
“…Second, persistent environmental conditions over timescales >72h would ensure storms extreme in only one hazard occur, creating the large correlations observed. Bloomfield et al (2023) investigated the correlation between aggregate wind and flood severity indices for European cyclones over wintertime aggregation periods ranging from 1 to 180 days. The correlations between wind and flood indices were positive but decreased as the length of aggregation period was increased.…”
Section: Aggregate Severitymentioning
confidence: 99%
“…A peak in correlation occurred between aggregation periods of 40 and 60 days. Bloomfield et al (2023) attributes this to soil saturation, a key flooding precursor, being properly captured by this aggregation period. An accurate flooding severity index should account for such time lag between extreme precipitation and flooding.…”
This study has investigated the correlation between wind gust and precipitation annual aggregate severity arising from extratropical cyclones over the Europe‐Atlantic region. Annual aggregate severity indices have been constructed by summing exceedances above chosen damage thresholds of wind gust and precipitation accumulation for all storms. A strong positive correlation between wind and precipitation aggregate severity exists at low thresholds. At higher thresholds where severity indices are a better reflection of wind and flood losses, negative correlations occur over Western Europe. These aggregates should therefore not be assumed to be either independent or positively correlated.
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