Articles | Volume 28, issue 22
https://doi.org/10.5194/hess-28-5069-2024
https://doi.org/10.5194/hess-28-5069-2024
Research article
 | 
26 Nov 2024
Research article |  | 26 Nov 2024

Novel extensions to the Fisher copula to model flood spatial dependence over North America

Duy Anh Alexandre, Chiranjib Chaudhuri, and Jasmin Gill-Fortin

Data sets

HYDAT Database - Canada Environment Canada https://collaboration.cmc.ec.gc.ca/cmc/hydrometrics/www/

Atlas hydroclimatique Ministère de l'Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs https://www.cehq.gouv.qc.ca/atlas-hydroclimatique/index.htm

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Short summary
Estimating extreme river discharges at single stations is relatively simple. However, flooding is a spatial phenomenon as rivers are connected. We develop a statistical method to estimate extreme flows with global coverage, accounting for spatial dependence. Using our model, synthetic flood events are simulated with more information than the limited historical events. This event catalog can be used to produce spatially coherent flood depth maps for flood risk assessment.