Venice has long suffered the effects of rising sea levels. The last two stormy seasons brought a series of events that peaked in the great flood of November 2019. Here, we analyze that November storm, showing (1) how different factors, by themselves unexceptional, gave rise to one of the worst floods in Venice's history, and (2) that the characteristics of this event made the storm difficult to forecast accurately. We stress the need to take into account probabilistic information available from ensemble forecasts, and discuss this within the framework of Venice's present situation. At the same time, using the 2019 Venice flooding as an example that may apply to many similar coastal locations elsewhere, we look at the future, pointing out that flooding problems can only worsen in a rapidly changing natural world.

The 2019 flooding of venice: And its implications for future predictions

Cavaleri Luigi;Bajo Marco;Barbariol Francesco;Bastianini Mauro;Benetazzo Alvise;Bertotti Luciana;Chiggiato Jacopo;Ferrarin Christian;Trincardi Fabio;
2020

Abstract

Venice has long suffered the effects of rising sea levels. The last two stormy seasons brought a series of events that peaked in the great flood of November 2019. Here, we analyze that November storm, showing (1) how different factors, by themselves unexceptional, gave rise to one of the worst floods in Venice's history, and (2) that the characteristics of this event made the storm difficult to forecast accurately. We stress the need to take into account probabilistic information available from ensemble forecasts, and discuss this within the framework of Venice's present situation. At the same time, using the 2019 Venice flooding as an example that may apply to many similar coastal locations elsewhere, we look at the future, pointing out that flooding problems can only worsen in a rapidly changing natural world.
2020
Venice
Flooding
predictions
climate change
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/377742
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 58
  • ???jsp.display-item.citation.isi??? ND
social impact