Articles | Volume 30, issue 14
https://doi.org/10.5194/hess-30-4437-2026
https://doi.org/10.5194/hess-30-4437-2026
Research article
 | 
17 Jul 2026
Research article |  | 17 Jul 2026

Detection of compound and seesaw hydrometeorological extremes in New Zealand: A copula-based approach

Morgan J. Bennet, Daniel G. Kingston, and Nicolas J. Cullen

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Cited articles

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Short summary
Compound hot-dry and the dry-wet seesaw transition are extreme meteorological events driven by the interaction between rainfall, temperature and soil moisture. Using data covering New Zealand for the 1950-2021 period we model these interactions using both copulas and single variables. The copula approach detects more frequent and intense events, particularly across eastern regions of the country, while also better representing the event drivers and improving our understanding of their risk.
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