317 citations · 490 across the 13 of their papers we have counts for
3 papers · 1 filter
Exploring climate change effects on concurrent floods and concurrent droughts via statistical deep learning
C. J. R. Murphy-Barltrop, J. Richards, B. Poschlod +2
Concurrent floods and concurrent droughts in nearby catchments pose challenges to risk assessment and water management. Climate change is affecting extremely high and low discharge…
Insights into the drivers and spatio-temporal trends of extreme Mediterranean wildfires with statistical deep-learning
Jordan Richards, Raphaël Huser, Emanuele Bevacqua +1
Extreme wildfires are a significant cause of human death and biodiversity destruction within countries that encompass the Mediterranean Basin. Recent worrying trends in wildfire ac…
Modelling and simulating spatial extremes by combining extreme value theory with generative adversarial networks
Younes Boulaguiem, Jakob Zscheischler, Edoardo Vignotto +2
Modelling dependencies between climate extremes is important for climate risk assessment, for instance when allocating emergency management funds. In statistics, multivariate extre…