Comment on egusphere-2025-828 [* Cross-Reference *]

Version 1.0
Busker, Tim; Rodriguez Castro, Daniela; Vorogushyn, Sergiy; Kwadijk, Jaap; Zoccatelli, Davide; Loureiro, Rafaella; Murdock, Heather J.; Pfister, Laurent; Dewals, Benjamin; Slager, Kymo; Thieken, Annegret H.; Verkade, Jan; Willems, Patrick; Aerts, Jeroen C. J. H., 2026, "Comment on egusphere-2025-828 [* Cross-Reference *]", https://lore.list.lu/citation?persistentId=perma:LIST.OVPC3M, LIST Open Repository, V1
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Abstract. This study compares operational Flood Forecasting and Early Warning Systems (FFEWSs) in transboundary river basins in Northwestern Europe, covering parts of Luxembourg, Germany, the Netherlands and Belgium. This region was hit by an extreme flood event in 2021 with over 200 fatalities. Due to the high death toll, FFEWSs were heavily criticized in the aftermath. Expert interviews from the region revealed strong improvements of the FFEWSs after this flood event in all countries. All regions have invested in probabilistic flood forecasting systems, and all countries now use mobile phone-based alerts. Strong differences in flood warning levels and color codes exist across and within the countries. In response to the 2021 flood, some regions have introduced an additional purple warning level. The interviews also revealed that the uptake of operational impact-based forecasts remains challenging, while these are crucial for translating hydrological forecasts to effective actions. For example, interviewees highlighted the need for operational flood inundation forecasts. However, Flanders is the only region where such forecasts are provided. It is recommended to enhance forecasts with impact-based information, including inundation maps delineating the people and objects at risk. This can improve the early actions taken by first responders and the affected people. (2025-10-08)
***This entry has been automatically imported via OpenAlex by LIST harvest scripts. Please refer to https://doi.org/10.5194/egusphere-2025-828-rc2 for the original and latest version of the publication*** (2026-07-01)
Subject Social Sciences
Keyword Flood myth, Flood warning, Warning system, Event (particle physics), Flood forecasting, Probabilistic logic
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